The document discusses remote sensing data from different satellite platforms and sensors. It describes how different parts of the electromagnetic spectrum are measured, including passive visible and infrared light which detects reflected sunlight, and active radio/microwave sensors like synthetic aperture radar (SAR). Specific sensors are mentioned, such as Landsat, Sentinel-1, and MODIS, and how they vary in resolution, frequency, and temporal coverage. Methods for accessing and using remote sensing data from open-access satellite missions are also briefly outlined.
This document describes a method for modeling wave attenuation over foreshores using Earth observation data and the XBeach model. There are three levels of assessment: 1) a quick scan using global data, 2) a moderate validation plan using local Earth observation data and global data, and 3) a fully tuned assessment of the actual local situation. For the second level, Earth observation data on vegetation cover, type and geometry is combined with global data sets on water levels and wave conditions in XBeach to model wave attenuation over the foreshore. XBeach is a process-based model that can simulate wave transformation and account for the effects of vegetation on short and long waves through drag formulations. The method is demonstrated for sites in the
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...Deltares
The document summarizes a session demonstrating the MI-Safe viewer tool for assessing wave attenuation over foreshores. It outlines the program, which includes an introduction to the viewer and its available data and functionality. Users are asked to assess sample transects by clicking to generate transects, compare outcomes, and evaluate the functionality of the visualization, level of detail, performance, input and output parameters. Global and earth observation datasets, as well as wave modeling results, can be incorporated to assess actual transects and compare wave height attenuation over long and short, vegetated and bare transects.
The FAST project aims to develop a new GMES/Copernicus downstream service to gain spatial information on foreshore and floodplain characteristics from Sentinel data. This will support the development of the MI-SAFE software tool and associated services. The tool will assess flood risk reduction based on foreshore characteristics and modeling scenarios. It will be developed within the OpenEarth framework using open source standards and tools. The workshop will provide an update on the FAST data management toolbox, EO data analysis methods, modeling wave attenuation, and requirements for linking models to EO data to gather feedback on improving the usability of the MI-SAFE tool.
DSD-INT 2015 - Towards new hydrological forecasting systems in Wales - Andrew...Deltares
Natural Resources Wales is developing a new flood forecasting system for Wales to replace the existing system hosted by the Environment Agency. The new system will establish Wales' own forecasting capability rather than relying on a system developed for another organization. It will not simply replicate the existing setup, but will improve functionality in areas like probabilistic forecasting, dynamic risk assessment, data sharing, and mobile access. The goal is to utilize latest technologies and learn from other forecasting systems worldwide to provide improved flood warnings and risk information for Wales.
FR1.L09.2 - ONBOARD RADAR PROCESSING CONCEPTS FOR THE DESDYNI MISSIONgrssieee
The document discusses onboard radar processing concepts for the DESDynI Earth observation mission. It describes how onboard processing can enable more frequent observations than currently feasible by reducing the volume of downlinked data through techniques like SAR image formation and compression. Onboard processing could generate targeted science products to enable rapid response to natural hazards. Examples of potential onboard products discussed include forest fire extent, forest fuel load, earthquake damage assessment, glacier melting, and vegetation classification.
RINA - AOG 2017 - Ian Milne - River LAB Wave BasinNick Bentley
RiverLab involves a community of more than 15 researchers working on projects spanning across oceanography, engineering and animal biology. One of the capstone projects involves the design and construction of a model FPSO, in combination with a novel instrument system to measure the vessel heading and dynamic motion when subjected to natural and artificial waves in the river. The innovations in this capstone project are the use of low cost sensors in combination with the Swan River rather than a traditional wave basin. Basins offer user-specified sea states, but the waves are often long crested and include unavoidable reflections due to the walls of the basin. Data obtained through this capstone project will be used to better understand FPSO motions in directionally spread waves and to validate numerical models of vessel motions - leading to improved models for prototype predictions.
About the potential of novel, alternative rain sensors, such as microwave links (MWL) used for telecommunication, crowd sensing, or cheap ubiquitous sensors.
This document describes a concept for detecting water bodies from TanDEM-X radar data. The goal is to produce a global water indication mask to help process the TanDEM-X digital elevation model. The method uses amplitude and coherence images with filtering and thresholding to identify water pixels while excluding other areas like desert or steep terrain. An evaluation on a test site of the River Elbe showed the method could correctly identify over 80% of water bodies larger than 1 hectare when combining amplitude and coherence data. Future work will assess the method in different climate zones and produce a mosaicked global water mask product to help further process the TanDEM-X DEM.
This document describes a method for modeling wave attenuation over foreshores using Earth observation data and the XBeach model. There are three levels of assessment: 1) a quick scan using global data, 2) a moderate validation plan using local Earth observation data and global data, and 3) a fully tuned assessment of the actual local situation. For the second level, Earth observation data on vegetation cover, type and geometry is combined with global data sets on water levels and wave conditions in XBeach to model wave attenuation over the foreshore. XBeach is a process-based model that can simulate wave transformation and account for the effects of vegetation on short and long waves through drag formulations. The method is demonstrated for sites in the
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...Deltares
The document summarizes a session demonstrating the MI-Safe viewer tool for assessing wave attenuation over foreshores. It outlines the program, which includes an introduction to the viewer and its available data and functionality. Users are asked to assess sample transects by clicking to generate transects, compare outcomes, and evaluate the functionality of the visualization, level of detail, performance, input and output parameters. Global and earth observation datasets, as well as wave modeling results, can be incorporated to assess actual transects and compare wave height attenuation over long and short, vegetated and bare transects.
The FAST project aims to develop a new GMES/Copernicus downstream service to gain spatial information on foreshore and floodplain characteristics from Sentinel data. This will support the development of the MI-SAFE software tool and associated services. The tool will assess flood risk reduction based on foreshore characteristics and modeling scenarios. It will be developed within the OpenEarth framework using open source standards and tools. The workshop will provide an update on the FAST data management toolbox, EO data analysis methods, modeling wave attenuation, and requirements for linking models to EO data to gather feedback on improving the usability of the MI-SAFE tool.
DSD-INT 2015 - Towards new hydrological forecasting systems in Wales - Andrew...Deltares
Natural Resources Wales is developing a new flood forecasting system for Wales to replace the existing system hosted by the Environment Agency. The new system will establish Wales' own forecasting capability rather than relying on a system developed for another organization. It will not simply replicate the existing setup, but will improve functionality in areas like probabilistic forecasting, dynamic risk assessment, data sharing, and mobile access. The goal is to utilize latest technologies and learn from other forecasting systems worldwide to provide improved flood warnings and risk information for Wales.
FR1.L09.2 - ONBOARD RADAR PROCESSING CONCEPTS FOR THE DESDYNI MISSIONgrssieee
The document discusses onboard radar processing concepts for the DESDynI Earth observation mission. It describes how onboard processing can enable more frequent observations than currently feasible by reducing the volume of downlinked data through techniques like SAR image formation and compression. Onboard processing could generate targeted science products to enable rapid response to natural hazards. Examples of potential onboard products discussed include forest fire extent, forest fuel load, earthquake damage assessment, glacier melting, and vegetation classification.
RINA - AOG 2017 - Ian Milne - River LAB Wave BasinNick Bentley
RiverLab involves a community of more than 15 researchers working on projects spanning across oceanography, engineering and animal biology. One of the capstone projects involves the design and construction of a model FPSO, in combination with a novel instrument system to measure the vessel heading and dynamic motion when subjected to natural and artificial waves in the river. The innovations in this capstone project are the use of low cost sensors in combination with the Swan River rather than a traditional wave basin. Basins offer user-specified sea states, but the waves are often long crested and include unavoidable reflections due to the walls of the basin. Data obtained through this capstone project will be used to better understand FPSO motions in directionally spread waves and to validate numerical models of vessel motions - leading to improved models for prototype predictions.
About the potential of novel, alternative rain sensors, such as microwave links (MWL) used for telecommunication, crowd sensing, or cheap ubiquitous sensors.
This document describes a concept for detecting water bodies from TanDEM-X radar data. The goal is to produce a global water indication mask to help process the TanDEM-X digital elevation model. The method uses amplitude and coherence images with filtering and thresholding to identify water pixels while excluding other areas like desert or steep terrain. An evaluation on a test site of the River Elbe showed the method could correctly identify over 80% of water bodies larger than 1 hectare when combining amplitude and coherence data. Future work will assess the method in different climate zones and produce a mosaicked global water mask product to help further process the TanDEM-X DEM.
Toward Real-Time Analysis of Large Data Volumes for Diffraction Studies by Ma...EarthCube
Talk at the EarthCube End-User Domain Workshop for Rock Deformation and Mineral Physics Research.
By Martin Kunz, Lawrence Berkeley National Laboratory
AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...Mario Juric
The document discusses large sky surveys and how they are transforming astronomy into a software-driven field. It focuses on the Large Synoptic Survey Telescope (LSST) project, which will be the largest sky survey to date. Some key points:
- LSST will image the entire visible sky every few nights for 10 years, collecting enormous amounts of data on billions of objects.
- Processing and analyzing this data poses major computational challenges and requires new techniques for extracting science from massive catalogs and datasets.
- LSST aims to deliver real-time alerts of changing/transient objects, yearly source catalogs with positions/measurements of billions of objects, and deep co-added images.
- The data
The TropiSCAT experiment aims to characterize vegetation using polarimetric interferometric synthetic aperture radar (PolInSAR) data at multiple frequencies. It involves collecting backscattering measurements and coherence data from antennas mounted on a 55m tower in French Guiana. Initial results show high coherence on the tower and influence of soil moisture. Diurnal and daily coherence is being analyzed to interpret temporal variations and validate models. The experiment will be expanded to include 20 antennas for improved tomography.
DSD-INT 2017 Urban flood forecasting in central Shanghai (Pudong Area) - ZhangDeltares
Presentation by Weijun Zhang, Ewaters, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Thursday, 26 October 2017, Delft.
The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute aims to develop regional knowledge and leadership in renewable energy assessment and mapping for arid environments. The Center has over 26 staff members and has succeeded in developing the UAE Solar Atlas and playing a key role in the Global Solar and Wind Atlas initiative. Some of the Center's facilities and capabilities include a satellite ground station, 200TB storage system, and tools for solar resource forecasting and performance modeling of solar power technologies.
DSD-INT 2017 Open-access Sentinel processing: Demo and case North Sea water q...Deltares
Presentation by Eva Stierman and Marieke Eleveld (Deltares) at the Symposium Earth Observation and Data Science, during Delft Software Days - Edition 2017. Friday, 3 November 2017, Delft.
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...Deltares
This document summarizes research on improving volcanic ash forecasts using an ensemble Kalman filter data assimilation method with the LOTOS-EUROS model and OpenDA software. Aircraft measurements of volcanic ash are assimilated to improve forecast accuracy compared to models alone. A two-way tracking localized ensemble Kalman filter is developed to reduce sampling errors from small ensembles. A mask-state ensemble Kalman filter is also created to accelerate volcanic ash data assimilation by focusing computations only on relevant grid points containing ash. Validation shows both methods successfully improve volcanic ash concentration forecasts.
DSD-INT 2015 - Addressing high resolution modelling over different computing ...Deltares
This document discusses using high performance computing resources to model water quality and hydrodynamics in reservoirs. It summarizes work using the Delft3D model on the Cuerda del Pozo reservoir, which experiences eutrophication issues. The modeling aims to reproduce conditions like algae blooms and alert authorities before water quality deteriorates. While hydrodynamics modeling was successful, water quality modeling had issues to be addressed. The document also discusses using cloud resources through the EGI FedCloud to run the high resolution models, as well as potential applications of this use case for biodiversity infrastructure projects like LifeWatch and INDIGO-DataCloud.
The document proposes the GOAL&GO architecture, which would provide global observations from Lagrange point, pole-sitter, and geosynchronous orbits using small, low-cost spacecraft. This revolutionary concept could monitor Earth's response to climate change and meet needs for disaster monitoring and relief through frequent imaging of the entire globe. The system is designed to evolve over 10-20 years using simple, proven technologies on multiple spacecraft to provide flexible, low-cost Earth observations.
This document discusses challenges and opportunities for using machine learning and data mining techniques on big climate data. It describes various types of climate and Earth observation data available from satellites and models. Research highlights are presented on using pattern mining to track ocean eddies, extreme value theory to study heatwaves and rainfall, and relationship mining to study seasonal hurricane activity. The challenges of analyzing multi-scale, heterogeneous climate data are also discussed.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
IRJET- A Survey of Underwater CommunicationIRJET Journal
This document summarizes research on underwater communication and aquatic drones. It discusses how acoustic signals can transmit data underwater over long distances, unlike radio signals. It also outlines challenges with underwater wireless sensor networks including unmanned exploration, localized data acquisition, and tetherless networking over large areas. The document reviews the development of aquatic drones, both remotely operated underwater vehicles (ROVs) and autonomous underwater vehicles (AUVs). It provides examples of existing AUVs and their applications in tasks like mine clearing and outlines ongoing navy research priorities to expand AUV capabilities.
This document outlines a lecture on remote sensing and its applications in river basin management. It defines remote sensing as acquiring information about the Earth's surface without physical contact through sensing and recording reflected or emitted energy. The lecture covers the history, components, and process of remote sensing, as well as its advantages in accessing dangerous areas in real-time. Applications discussed include land cover mapping, hydrology, irrigation management, and using remote sensing for decision support in areas like watershed management and climate change.
Toward Real-Time Analysis of Large Data Volumes for Diffraction Studies by Ma...EarthCube
Talk at the EarthCube End-User Domain Workshop for Rock Deformation and Mineral Physics Research.
By Martin Kunz, Lawrence Berkeley National Laboratory
AstroInformatics 2015: Large Sky Surveys: Entering the Era of Software-Bound ...Mario Juric
The document discusses large sky surveys and how they are transforming astronomy into a software-driven field. It focuses on the Large Synoptic Survey Telescope (LSST) project, which will be the largest sky survey to date. Some key points:
- LSST will image the entire visible sky every few nights for 10 years, collecting enormous amounts of data on billions of objects.
- Processing and analyzing this data poses major computational challenges and requires new techniques for extracting science from massive catalogs and datasets.
- LSST aims to deliver real-time alerts of changing/transient objects, yearly source catalogs with positions/measurements of billions of objects, and deep co-added images.
- The data
The TropiSCAT experiment aims to characterize vegetation using polarimetric interferometric synthetic aperture radar (PolInSAR) data at multiple frequencies. It involves collecting backscattering measurements and coherence data from antennas mounted on a 55m tower in French Guiana. Initial results show high coherence on the tower and influence of soil moisture. Diurnal and daily coherence is being analyzed to interpret temporal variations and validate models. The experiment will be expanded to include 20 antennas for improved tomography.
DSD-INT 2017 Urban flood forecasting in central Shanghai (Pudong Area) - ZhangDeltares
Presentation by Weijun Zhang, Ewaters, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Thursday, 26 October 2017, Delft.
The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute aims to develop regional knowledge and leadership in renewable energy assessment and mapping for arid environments. The Center has over 26 staff members and has succeeded in developing the UAE Solar Atlas and playing a key role in the Global Solar and Wind Atlas initiative. Some of the Center's facilities and capabilities include a satellite ground station, 200TB storage system, and tools for solar resource forecasting and performance modeling of solar power technologies.
DSD-INT 2017 Open-access Sentinel processing: Demo and case North Sea water q...Deltares
Presentation by Eva Stierman and Marieke Eleveld (Deltares) at the Symposium Earth Observation and Data Science, during Delft Software Days - Edition 2017. Friday, 3 November 2017, Delft.
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...Deltares
This document summarizes research on improving volcanic ash forecasts using an ensemble Kalman filter data assimilation method with the LOTOS-EUROS model and OpenDA software. Aircraft measurements of volcanic ash are assimilated to improve forecast accuracy compared to models alone. A two-way tracking localized ensemble Kalman filter is developed to reduce sampling errors from small ensembles. A mask-state ensemble Kalman filter is also created to accelerate volcanic ash data assimilation by focusing computations only on relevant grid points containing ash. Validation shows both methods successfully improve volcanic ash concentration forecasts.
DSD-INT 2015 - Addressing high resolution modelling over different computing ...Deltares
This document discusses using high performance computing resources to model water quality and hydrodynamics in reservoirs. It summarizes work using the Delft3D model on the Cuerda del Pozo reservoir, which experiences eutrophication issues. The modeling aims to reproduce conditions like algae blooms and alert authorities before water quality deteriorates. While hydrodynamics modeling was successful, water quality modeling had issues to be addressed. The document also discusses using cloud resources through the EGI FedCloud to run the high resolution models, as well as potential applications of this use case for biodiversity infrastructure projects like LifeWatch and INDIGO-DataCloud.
The document proposes the GOAL&GO architecture, which would provide global observations from Lagrange point, pole-sitter, and geosynchronous orbits using small, low-cost spacecraft. This revolutionary concept could monitor Earth's response to climate change and meet needs for disaster monitoring and relief through frequent imaging of the entire globe. The system is designed to evolve over 10-20 years using simple, proven technologies on multiple spacecraft to provide flexible, low-cost Earth observations.
This document discusses challenges and opportunities for using machine learning and data mining techniques on big climate data. It describes various types of climate and Earth observation data available from satellites and models. Research highlights are presented on using pattern mining to track ocean eddies, extreme value theory to study heatwaves and rainfall, and relationship mining to study seasonal hurricane activity. The challenges of analyzing multi-scale, heterogeneous climate data are also discussed.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
IRJET- A Survey of Underwater CommunicationIRJET Journal
This document summarizes research on underwater communication and aquatic drones. It discusses how acoustic signals can transmit data underwater over long distances, unlike radio signals. It also outlines challenges with underwater wireless sensor networks including unmanned exploration, localized data acquisition, and tetherless networking over large areas. The document reviews the development of aquatic drones, both remotely operated underwater vehicles (ROVs) and autonomous underwater vehicles (AUVs). It provides examples of existing AUVs and their applications in tasks like mine clearing and outlines ongoing navy research priorities to expand AUV capabilities.
This document outlines a lecture on remote sensing and its applications in river basin management. It defines remote sensing as acquiring information about the Earth's surface without physical contact through sensing and recording reflected or emitted energy. The lecture covers the history, components, and process of remote sensing, as well as its advantages in accessing dangerous areas in real-time. Applications discussed include land cover mapping, hydrology, irrigation management, and using remote sensing for decision support in areas like watershed management and climate change.
ESTIMATION OF DEPTH OF RIVER BY BATHYMETRY OF SATELLITE IMAGESIRJET Journal
This document discusses using satellite imagery to estimate the depth of rivers. It outlines previous work using machine learning techniques like random forest and deep learning to process satellite images and generate bathymetry maps. The methodology section describes preprocessing steps like separating land and water pixels and correcting for light attenuation through the water column. It then explains Lyzenga's method for creating depth-invariant indices using ratios between spectral bands to estimate river depth without requiring water depth measurements. Results found combining high-resolution multispectral imagery with machine learning can generate accurate topographical maps for bathymetry. Future work involves applying these deep learning techniques to real satellite data and improving accuracy.
SC7 Workshop 2: Space Data for Secure SocietiesBigData_Europe
The document provides information about the Copernicus program, which is the European Union's Earth observation program. It summarizes the six Copernicus services that use Earth observation data to deliver information. It then describes some of the Copernicus satellites, including Sentinel-1, Sentinel-2, and Sentinel-3, and discusses how Sentinel data is accessed. Finally, it addresses some of the challenges around big data and moving towards the Copernicus Data and Information Access Service (DIAS) to improve access to Copernicus data and information.
Monitoring Oceans - Chris Atherton - SRD23SURFevents
In recent years, the integration of fibre optic telecommunication cable monitoring technologies has not been fully achieved, hindering novel applications and research in Earth science. However, recent collaborations among national seismic and oceanographic infrastructures, National Research and Education Networks (NRENs), universities, research institutes, and industry in Europe have developed techniques to monitor the Earth and its systems using submarine optical telecommunication fibres. The SUBMERSE project aims to create a pilot research instrument that can continuously monitor existing submarine fibre optic cables, promoting sustainable development goals and leading to new scientific collaborations. This requires the collaboration of multiple stakeholders both nationally and internationally.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to in situ observation. In modern usage, the term generally refers to the use of aerial sensor technologies to detect and classify objects on Earth (both on the surface, and in the atmosphere and oceans) by means of propagated signals (e.g. electromagnetic radiation). It may be split into active remote sensing (when a signal is first emitted from aircraft or satellites)[1][2][3] or passive (e.g. sunlight) when information is merely recorded.
This document provides an overview of a lecture on remote sensing concepts, theory, and techniques. It discusses the objectives of understanding basic RS techniques and applying them to specific fields. The contents include principles of RS, the RS process, platforms and sensors, images and bands, and resolution. The RS process involves energy source, atmosphere interactions, target interactions, sensor recording, transmission, processing, interpretation, and application. Platforms can be airborne or satellite, and sensors include cameras, scanners and video cameras. Images have digital pixels in various bands across the electromagnetic spectrum.
DataCite is a global consortium that provides persistent identifiers (DOIs) for scientific data to make it easily discoverable and citable. It aims to put datasets on the same level as research articles. DataCite has over 1.7 million DOIs registered and many member organizations worldwide. It develops standards and infrastructure like its metadata schema and search portal to help data archives and researchers globally.
Ground truthing using field spectrometers is required to calibrate spectral data from remote sensing and understand what materials are present. ASD Inc. develops field spectrometers that have enabled ground truthing and validation of satellite sensors. Remote sensing analyzes the reflective spectral signatures of objects, and ground truthing is needed to identify specific materials in high resolution satellite imagery through supervised classification. New discoveries are continually being made about material signatures in different wavelengths, helping understand global environmental changes.
ULTRA WIDE BAND RADAR SYSTEM FOR THROUGH WALL HUMAN VITAL SIGNS DETECTIONIRJET Journal
This document describes an ultra wide band radar system for detecting human vital signs through walls. It uses a Doppler radar sensor to detect breathing movements and an IR temperature sensor to measure temperature. Signal processing techniques like the short time Fourier transform and singular value decomposition are used to analyze the radar signals and reduce clutter. The system is able to locate stationary human targets behind a wall by detecting their respiratory movements, without needing physical contact. It has applications in search and rescue operations, surveillance, and detecting humans trapped in enclosed spaces like collapsed buildings or bore wells. The system was implemented using hardware components like an Arduino, Doppler sensor and IR sensor, and software like Arduino IDE. Experimental results confirmed the system's ability to identify human signals non-
The document discusses the evolving landscape of semantic technologies and their applications to scientific domains like eScience. It introduces the Tetherless World Constellation, a research group applying semantic web techniques. Examples are given of projects applying semantics to areas like virtual observatories and provenance capture. The value of semantic technologies is discussed for integration, discovery, and validation of scientific data and models. Modular ontologies and semantically-enabled frameworks are presented as important directions for reuse and collaboration.
This document provides instructions for using a toolbox to run general additive models (GAMs) to model habitat for three fish species using data from NOAA trawl surveys. The toolbox allows the user to: 1) extract data from trawl surveys, 2) fit GAMs and select important environmental variables, and 3) predict probabilities and create habitat rasters. Key steps include extracting presence/absence data, running initial GAMs with all variables to select important ones, refitting GAMs with the selected variables, and using the results to create probability and habitat rasters. The overall goal is to objectively model species distributions based on environmental parameters.
A Conceptual Building-Block and Practical OpenStreetMap-Interface for Sharing...Werner Leyh
This document discusses linking hydrological observation datasets to specific hydrological features using standardized semantics. The authors implement an interface in OpenStreetMap to represent surface water features using standardized ontology terms. They model the interlinking between hydrological features and monitoring points using the VoID and DCAT vocabularies. This provides a flexible way to describe relationships between datasets and enables navigation between features and observations. The proof of concept implementation is inspired by challenges faced by a disaster monitoring organization and uses open data standards to lift datasets to the web of linked open data.
Digital Elevation Model, Its derivatives and applicationsShadaab .
The document provides an overview of Geographic Information Systems (GIS). It explains that GIS allows for capturing, storing, analyzing and displaying spatial data layered on maps. Different types of data such as demographic, infrastructure, environmental etc. can be overlaid and analyzed together. GIS ensures all data aligns to the same scale. Users in many fields utilize GIS to produce customized maps by selecting relevant data layers. Businesses may use it to determine store locations.
Water-Body Area Extraction From High Resolution Satellite Images-An Introduct...CSCJournals
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Surveying of water-bodies and delineate its features properly is very first step for any planning, especially for places like India, where the land-cover is dominated by water-bodies. Recording images, such as from satellite, sometimes does not reflect the distinguished characteristics of water with non-water features, e.g. shadows of super structures. Image of water body is confused easily with the shadow of skyscraper, since calm water surface induces mirror reflection when it gives birth to echo wave. Over the past decade, a significant amount of research been conducted to extract the water body information from multi-resolution satellite image. The objective of this paper is to review methodologies applied for water body extraction using satellite remote sensing. First, studies on water body detection are treated. Methodological issues related to the use of these methods were summarized. Results from empirical studies, applying water-body extraction techniques are collected and discussed. Important issues for future research are also identified and discussed.
The passage discusses several factors that contributed to the decline of the parallel cinema movement in India from 1980-2000. This period saw radical economic and technological transformations, including the expansion of Doordarshan's television network, the introduction of color TV, and the launch of economic liberalization policies. These policies ended Doordarshan's broadcasting monopoly and allowed satellite television to enter India. Commercial internet also arrived in 1995. These technological changes captured the attention of India's growing urban middle class and provided more media choices, which reduced support for parallel cinema.
GaiaCal2014: Creating and Calibrating LSST Data ProductMario Juric
This document provides an overview of the Large Synoptic Survey Telescope (LSST) project meeting GAIACAL 2014 held in Ringberg, Germany on July 9, 2014. The LSST project will create a large survey telescope with an 8.4 meter primary mirror that will image the entire available sky every few nights over 10 years. It will provide deep, wide-field imaging in multiple optical and infrared bands to enable time domain astronomy, a census of the solar system, mapping the Milky Way, and studying dark matter and dark energy. The presentation reviewed the LSST instrumentation, data products, calibration processes, and status of construction with first light expected in 2022.
The document describes an autonomous underwater surveillance robot. It discusses the design and implementation of an underwater robot, including its structure, block diagram, circuit diagram, and key hardware components like the Arduino Mega 2560 microcontroller board. The robot is intended to perform surveillance operations and research tasks underwater in a safe manner by replacing humans in dangerous environments. It can stream live video from its camera to a remote screen.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
This document discusses using k-means clustering to detect minerals from remote sensing images. It begins with an abstract describing using k-means clustering on hyperspectral images to segment and extract features to detect minerals like giacomo. It then provides background on remote sensing, k-means clustering algorithms, and describes the giacomo mineral deposit in Peru that contains silicon dioxide and titanium dioxide. It concludes with discussing using sobel edge detection as part of the mineral detection process from remote sensing images.
Similar to DSD-INT 2015 - from foreshore data to foreshore information - Edward P. Morris (20)
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDeltares
Presentation by Timo Kroon and Nadine Slootjes (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
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Presentation by Philip Ward (Deltares and IVM VU Amsterdam) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
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DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...Deltares
Presentation by Marc Bierkens (Utrecht University and Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...Deltares
Presentation by Bart van den Hurk (WGII Co-Chair, IPCC AR7, Deltares) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
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DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
Presentation by Huite Bootsma (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDeltares
Presentation by Mike Muller (hydrocomputing GmbH & Co. KG, Germany) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDeltares
Presentation by Betsy Romero Verástegui (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDeltares
Presentation by Mark Bakker (Delft University of Technology, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDeltares
Presentation by Joeri van Engelen (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 iMOD and new developments - DavidsDeltares
Presentation by Tess Davids (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
Presentation by Christian Langevin (U.S. Geological Survey (USGS), USA) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
DSD-INT 2023 Hydrology User Days - Presentations - Day 2Deltares
Presentation by several speakers at the Hydrology Suite User Days (Day 2) - wflow and HydroMT, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
DSD-INT 2023 Needs related to user interfaces - SnippenDeltares
Presentation by Edwin Snippen (Deltares, Netherlands) at the Hydrology Suite User Days (Day 1) - Hydrology Suite introduction and River Basin Management software (RIBASIM), during the Delft Software Days - Edition 2023 (DSD-INT 2023). Tuesday, 28 November 2023, Delft.
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
Presentation by Huite Bootsma (Deltares, Netherlands) at the Hydrology Suite User Days (Day 1) - Hydrology Suite introduction and River Basin Management software (RIBASIM), during the Delft Software Days - Edition 2023 (DSD-INT 2023). Tuesday, 28 November 2023, Delft.
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...Deltares
Presentation by Harm Nomden (SWECO, Netherlands) at the Hydrology Suite User Days (Day 1) - Hydrology Suite introduction and River Basin Management software (RIBASIM), during the Delft Software Days - Edition 2023 (DSD-INT 2023). Tuesday, 28 November 2023, Delft.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
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Has both wave and particle properties at the
same time (wave-particle duality).
"Electromagneticwave3D" by Lookang many thanks to Fu-Kwun Hwang and
author of Easy Java Simulation = Francisco Esquembre - Own work. Licensed
under CC BY-SA 3.0 via Commons.
Electromagnetic radiation
Waves can be described by their
amplitude and wavelength
Polarisation: waves oscillate in more than
one orientation
Photons are the elementary particles of
eletromagnetic radiation
Photons can be interact with matter by
scattering and absorption
Reflectance is scattering in a defined
direction
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Atmospheric electromagnetic opacity
Gamma rays, Xrays and ultraviolet
light blocked by the upper atmosphere
(best observed from space).
Visible light
observable
from Earth,
with some
atmospheric
distortion.
Most of the
infrared spectrum
absorbed by
atmospheric
gasses (best
observed
from space).
Radio waves observable
from Earth.
Longwavelength
radio waves
blocked.
0 %
50 %
100 %
0.1 nm 1 nm 10 nm 100 nm 1 µm 10 µm 100 µm 1 mm 1 cm 10 cm 1 m 10 m 100 m 1 km
Wavelength
Atmospheric
opacity
"Atmospheric electromagnetic opacity" by NASA (original); SVG by Mysid. - Vectorized by User:Mysid in Inkscape, original NASA image from File:Atmospheric electromagnetic transmittance or
opacity.jpg.. Licensed under Public Domain via Commons.
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Ocean Optics Web Book • All contents 2015 Creative Commons Attribution license.
Measures (sun) light
Passive visible and infrared
day-time only*
radiance (light) passes through
atmosphere
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affected by scattering and absorption
affected by clouds
requires atmospheric correction
procedures
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The surfaces of substances have specific
scattering and absorption properties
Red and green light is absorbed,
blue reflected.
"Simple reflectance" by User:Phidauex - Own work. Licensed under Public Domain via
Commons.
Passive visible and infrared
allows identification of surfaces (i.e, the
blue surface)
allows quantification of substances (i.e.,
the number of blue 'rocks')
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Passive visible and infrared
Water strongly absorbs light giving it a distinctive reflectance spectrum that can be
summarised by spectral indices (ratios), e.g., the 'Normalised Difference Water Index'
(NDWI, McFeeters et al. 1996).
"Absorption spectrum of liquid water" by Kebes at English Wikipedia. Licensed under CC BY-SA 3.0 via Commons.
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NDWI = (NIR - Green)/(NIR + Green)
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Passive visible and infrared
All photosynthetic organisms contain chlorophyll giving them a distinctive reflectance
spectrum that can be summarised by spectral indices (ratios), e.g., the 'Normalised
Difference Vegetation Index' (NDVI).
"Vegetation spectral response" by wiki.landscapetoolbox.org. Licensed under Public Domain via Commons.
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NDVI = (NIR - Red)/(NIR + Red)
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"Fig. 6 Relationship between NDVI and chlorophyll..." by Kromkamp et al.
2006.
"Time-ensemble (2000-2015) mean modified normalised difference water
index (MNDWI) of Cadiz Bay derived from the Landsat (USGS) archive" by
FAST project.
Passive visible and infrared
Spectral ratios, such as NDWI and NDVI can be used to quantify properties of
foreshores.
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Synthetic Aperture Radar (SAR)
"A geometric model of a SAR system" by Zhou et al. 2009.
Active radio
active radio pulses sent and collected
effective antena size much larger using
movement of satellite and clever
processing (Synthetic Aperture).
measures polarised radio waves e.g.,
horizontal and vertical.
allows increased spatial resolution.
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"Surface and volume scattering of a SAR beam for trees " by (Fernandez-
Ordonez et al. 2009.).
Surface interactions
Active Radio
still water tends to be a specular reflector
of radio waves i.e, usually low backscatter.
complex interactions with vegetation
result in different return signals.
buildings often have strong backscatter
signal.
interactions vary with beam polarization
i.e., different polarizations provide more
information.
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"Speckle occurs in SAR images due to the coherent sum of many elemental
scatterers within a resolution cell..." by Moreira et al. 2013.
Speckle
Active Radio
caused by the many scatterers in a 'pixel'.
coherence of the scattered signal results
in strong fluctuations across the image.
'multi-looking' used to reduce speckle at
cost of spatial resolution.
adaptive filtering can also be used to
reduce speckle.
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non-coherent averaging of the
intensity image.
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Further resources
General:
Passive visible and infrared:
Active radar (SAR):
Glossary of remote sensing terms
EO portal database of satellite missions
Landscape Toolbox Wiki
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Ocean optics web book·
Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., & Papathanassiou, K. P.
(2013). A tutorial on synthetic aperture radar. Geoscience and Remote Sensing Magazine,
IEEE, 1(1), 6-43.
SAREDU; full open-access course on SAR by DLR
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Data availability
Some earth observation satellites with open access data, based on wiki.landscapetoolbox.org. *C=Color, E=Elevation, H=Hyperspectral,
M=Multispectral, P=Panchromatic, R=Syntheric Aperature Radar
NAME ABBREVIATION RESOLUTION
(M)
AVAILABILITY RETURN
INTERVAL
TYPE* PLATFORM
Landsat Thematic Mapper 5 L5-TM 30,60 1984 to 2013 16 days M Satellite
Landsat Enhanced Thematic Mapper 7 L7-ETM 15,30,60 1995 to 2003 16 days P,M Satellite
Moderate-resolution Imaging
Spectroradiometer
MODIS 250,500,1000 2000 to
present
Daily M Satellite
Medium Resolution Imaging Spectrometer ENVISAT-MERIS 300 2002 to
present
3 days M Satellite
Landsat Data Continuity Mission (Landsat 8) L8-OLI 15,30,100 2013 to
present
16 days P,M Satellite
Copernicus Sentinel-1A S-1A 4,10,25,40 2015 to
present
12 (6) days R Satellite
Copernicus Sentinel-2A S-2A 10,20,60 2015 to
present
12 (6) days M Satellite
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Generally surface reflectance products are
prefered, however see L8-SR user notes and
Landsat Higher Level Science Data Products:
http://landsat.usgs.gov//landsat_level_1_standard_data_products.php.
Data type and format
Landsat product types
not completely validated
not all scenes can be processed: Landsat 8
Pre-WRS-2 scenes (before April 11, 2013),
scenes with a solar zenith angle greater
than 76°.
Efficancy of L8SR correction will be likely
reduced in: Hyper arid or snow covered
regions, Low sun angle conditions, Coastal
regions where land area is small relative
to adjacent water, Areas with extensive
cloud contamination.
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High latitudes (> 65º) may not be valid.·
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Data format and type
Landsat Standard L1 products
Standard Terrain Correction (Level 1T -precision and terrain correction) if possible.
Cubic Convolution (CC) resampling method.
30-meter (TM, ETM+, OLI) and 60-meter (MSS) pixel size (reflective bands).
Universal Transverse Mercator (UTM) map projection (Polar Stereographic projection for
scenes with a center latitude greater than or equal to -63.0 degrees).
World Geodetic System (WGS) 84 datum.
MAP (North-up) image orientation.
GeoTIFF per band, quality assement + metadata (.MTL)
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Data format and type
Landsat Higher Level Science Data products
surface reflectance
surface reflectance spectral indices
transport format as standard GeoTIFF or ENVI binary or HDF-EOS2, see guide
·
includes basic classification (water, cloud) and per pixel quality mask
metadata is .xml (schema: http://espa.cr.usgs.gov/v1.2)
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http://earthexplorer.usgs.gov/.
Earth Explorer
official bulk dissemination system for the
Landsat (and other) products.
requires registration (quick and easy);
email address used to send download
links!
no restrictions on data use but requested
to acknowledge source:
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USGS Products: 'Data available from
the U.S. Geological Survey.'
NASA LP DAAC Products: 'These data
are distributed by the Land Processes
Distributed Active Archive Center (LP
DAAC), located at USGS/EROS, Sioux
Falls, SD. http://lpdaac.usgs.gov'
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surface reflectance products generated
'on demand'.
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Other examples of how to get the data
General:
Sentinels:
Google Earth Engine (GEE); Landsat archive, Sentinel-1 (available late 2015?), MODIS, MERRIS,
ect. Sentinel-2 (planned).
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Google Storage also mirrors much of these archives. You can install their “gsutil” (free)
and then list this directory, which is indexed by sensor (for example, L8 is Landsat 8) and
path/row: gsutil ls gs://earthengine‐public/landsat/
Note Sentinel-1 has undergone further pre-processing in GEE
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Sentinel Data Access Service (SEDAS); useful portal by UK Space Agency·
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Other examples of how to get the data
Landsat:
Via commandline using curl:
USGS Earth Resources Observation and Science (EROS) Center Science Processing
Architecture (ESPA) On Demand Interface for higher level products and processing options
Landsat Look for quick looks and standard data
GloVis an alternative to EarthExplorer
Python Landsat-Download
Python Landsat-util
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1. # download a specific sentinel product
2. S:>curl ‐u User:Password ‐JO "https://scihub.esa.int/dhus/odata/v1/
3. Products('b94d872a‐ef4f‐4117‐8a6b‐1a90466ae785')/$value"
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Basic concepts
Georectification: Mapping the data to real world coordinates.
Calibration: Converting the data to real world units
Morphological operations: Filtering, changing resolution, ect.
Course classification: Assigning different classes (e.g., clouds, shadows, water) using
segmentation or clustering.
at-instrument; instrument-specific digital numbers to units , i.e., radiance
top-of-atmosphere; accounting for platform to target geometry.
surface; removing atmospheric affects and corrections for topography
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with GUI: Packages and frameworks:
Open source image processing (some options)
Sentinel Application Platform (SNAP);
official software for processing sentinel
data, integrates NEST and BEAM.
Quantum GIS (QGIS); extensible GIS
system with many plugins linking to image
processing packages (BEAM plugin).
BEAM
SeaDas
Monteverdi2
GRASS
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Google Earth Engine; JavaScript and
Python
Orpheo Toolbox (OTB); C
RSGISLib; Python
OpenCV; C, Python
raster; R
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Sentinel Application Platform (SNAP)
A common architecture for all Sentinel Toolboxes
open-source (Java) available at GitHub or precompiled at STEP.
successor of the mature BEAM + NEST software.
efficient parralization of calculations resulting in good performance on modern PCs.
Python bindings available soon?
Sensor specific toolboxes (Sentinels, but also many other sensors).
Developed by Array Systems and DLR (S-1), C-S (S-2) and Brockmann Consult (S-3) for ESA.
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ESA Research and Service Support (RSS)
'RSS has the mission to support the Earth Observation (EO) comunity in exploiting EO data'
supports institutions, scientists and developers.
supports data provisioning, access and processing.
help to scale up workflows
computation on demand and cloud computing service free for 'non-profit' organisations.
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contact rss_team@esa.int to check conditions and egibility.-
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Acknowledgents
The research leading to these results has received funding from the
European Union Seventh Framework Programme (FP7/2007-2013)
under grant agreement n° 607131. All views presented are those of the
author’s, the European Union is not liable for any use that may be
made of the information contained therein.
The FAST project team for support and contributions.
Landsat data courtesy of USGS.
This presentation includes Copernicus Sentinel data 2015.
Videos from NASA and ESA YouTube channels.
Comic design and production; The Pilot Dog
Slide deck made using slidify
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Using the Graph Builder in S1TBX
use the graph builder to save your workflow.
take a look at the graph XML format.
edit the XML so as apply different types of speckle filter and multilooking, compare results.
set up thresholding of the image using band-math and extract 'water'.
run a basic classification and compare to the threshold result.
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