Presented by Frank Martin Seifert of the European Space Agency at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
An expert system model for identifying and mapping tropical wetlands and peat...CIFOR-ICRAF
Presented by Rosa Maria Roman-Cuesta at the Bonn Climate Change Conference on 11 May 2017, at a side event title 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Discovering the world’s largest tropical peatland complex in the Congo basin:...CIFOR-ICRAF
Presented by Simon Leeds of Leeds University and University College London at the Bonn Climate Change Conference on 11 May 2017 at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Moving ahead: What the climate convention can do to support conservation and ...CIFOR-ICRAF
Presented by Louis Verchot at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
The document outlines a framework for measuring and monitoring land health and degradation through field measurements and remote sensing. It describes a stratified sampling approach with sentinel sites, clusters, plots and sub-plots to collect biophysical data on vegetation, soils, and trace gases. Remote sensing is used to extrapolate ground measurements and characterize spatial heterogeneity. Soil and carbon models integrate field and remote sensing data for carbon accounting and analysis at local to global scales.
PhD research presentation at the workshop of the Climate Food and Farming Network, Dec. 2-4 at Aarhus University, Foulum. The Climate Food and Farming Network is an initiative of Copenhagen U., Aarhus U., and the CGIAR Research Program on Climate Change, Agriculture and Food Security.
This document discusses using remote sensing to map wetlands. It begins by defining wetlands and their functions like flood control and wildlife habitat. It then explains that remote sensing uses sensors on aircraft or satellites to observe the Earth's surface without direct contact. Satellites like Landsat have been used since the 1970s to map wetlands by analyzing bands that distinguish land from water. The study area for the document is located in western Karnataka, India. Landsat TM and IRS P6 Liss III images from 1990 to 2009 were analyzed using ERDAS and ArcGIS software to delineate wetlands over time and detect land use/land cover changes. The results found decreases in forest area and water bodies from 1998 to 2008-2009
This document discusses various applications of remote sensing including land cover/land use mapping, agriculture, forestry, geology, geomorphology, urban analysis, hydrology, mapping, and ocean/coastal monitoring. Remote sensing is used for tasks such as crop health monitoring, deforestation detection, structural and terrain analysis, water quality monitoring, flood mapping, and oil spill monitoring. It provides data to study a wide range of Earth science topics and human impacts on the environment.
An expert system model for identifying and mapping tropical wetlands and peat...CIFOR-ICRAF
Presented by Rosa Maria Roman-Cuesta at the Bonn Climate Change Conference on 11 May 2017, at a side event title 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Discovering the world’s largest tropical peatland complex in the Congo basin:...CIFOR-ICRAF
Presented by Simon Leeds of Leeds University and University College London at the Bonn Climate Change Conference on 11 May 2017 at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
Moving ahead: What the climate convention can do to support conservation and ...CIFOR-ICRAF
Presented by Louis Verchot at the Bonn Climate Change Conference on 11 May 2017, at a side event titled 'Re-discovering the magnificent carbon storage potential of wetlands and peatlands'.
The document outlines a framework for measuring and monitoring land health and degradation through field measurements and remote sensing. It describes a stratified sampling approach with sentinel sites, clusters, plots and sub-plots to collect biophysical data on vegetation, soils, and trace gases. Remote sensing is used to extrapolate ground measurements and characterize spatial heterogeneity. Soil and carbon models integrate field and remote sensing data for carbon accounting and analysis at local to global scales.
PhD research presentation at the workshop of the Climate Food and Farming Network, Dec. 2-4 at Aarhus University, Foulum. The Climate Food and Farming Network is an initiative of Copenhagen U., Aarhus U., and the CGIAR Research Program on Climate Change, Agriculture and Food Security.
This document discusses using remote sensing to map wetlands. It begins by defining wetlands and their functions like flood control and wildlife habitat. It then explains that remote sensing uses sensors on aircraft or satellites to observe the Earth's surface without direct contact. Satellites like Landsat have been used since the 1970s to map wetlands by analyzing bands that distinguish land from water. The study area for the document is located in western Karnataka, India. Landsat TM and IRS P6 Liss III images from 1990 to 2009 were analyzed using ERDAS and ArcGIS software to delineate wetlands over time and detect land use/land cover changes. The results found decreases in forest area and water bodies from 1998 to 2008-2009
This document discusses various applications of remote sensing including land cover/land use mapping, agriculture, forestry, geology, geomorphology, urban analysis, hydrology, mapping, and ocean/coastal monitoring. Remote sensing is used for tasks such as crop health monitoring, deforestation detection, structural and terrain analysis, water quality monitoring, flood mapping, and oil spill monitoring. It provides data to study a wide range of Earth science topics and human impacts on the environment.
The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
2004-06-24 Satellite Data Us in PM Management: A Retrospective AssessmentRudolf Husar
This document discusses how satellite data has been used to study particulate matter (PM) over time. It notes that PM is a complex phenomenon that requires characterization across multiple dimensions, and that satellites provide valuable spatial context but require integration with other data sources to fully characterize PM. The document outlines several past examples where satellite data helped detect major aerosol events like dust storms and wildfire smoke plumes, and envisions future real-time monitoring systems to aid air quality management.
Remote sensing uses electromagnetic radiation to acquire geospatial data without direct contact with objects. It provides a view of large regions, offering geo-referenced digital information even in tough weather. Common remote sensing tools include Landsat, Ikonos, and Quickbird satellites. Satellite imagery provides information on land cover, land use, habitats, and infrastructure through multiple observations over time, allowing for mapping and monitoring of changes. Applications of remote sensing include urban planning, agriculture, natural resource management, land use mapping, and more. Common satellite types used are geostationary satellites directly over the equator and polar-orbiting satellites that orbit near the poles.
Remote Sensing Based Soil Moisture DetectionCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Remote Sensing And GIS Application In Wetland MappingSwetha A
This document discusses remote sensing and GIS applications for wetland mapping. It begins by defining wetlands and describing some of the largest in the world. The three main criteria for identifying wetlands - hydric soils, hydrophytic vegetation, and hydrology - are introduced. Remote sensing data, including IRS P6 LISS III imagery, is used to map wetlands in Karnataka, India. Indices like NDWI, MNDWI, NDVI, and NDPI are calculated from the multi-spectral bands to identify wetland areas. GIS is then used to analyze and interpret the remote sensing data spatially and temporally. Final maps are produced showing the distribution and types of wetlands identified in India and specifically
This study aimed to establish a supervised classification of global blue carbon mangrove ecosystems using remote sensing techniques. Four classification models were compared for two regions of interest: the Zambezi Delta and Rufiji River Delta. The models used different vegetation indices and were assessed against published classification maps for accuracy. The NDVI model achieved the highest accuracy for both regions at around 80-83%. However, all models overpredicted mangrove cover in non-mangrove areas, suggesting improvements are needed to better account for land cover variability. The study demonstrates the potential for remote sensing to map mangroves globally but highlights challenges in achieving high accuracy.
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTUREgrssieee
SMOS and SMAP are satellite missions aimed at globally mapping soil moisture. While SMOS uses passive L-band microwave radiometry with coarse 30-55km resolution, SMAP will use an active L-band radar to achieve higher 9-36km resolution. Both have a 3-day revisit time but SMAP has greater sensitivity. There are opportunities for synergism by intercomparing the two datasets to validate algorithms and identify the optimal approach for long-term soil moisture monitoring, especially for addressing issues like freeze/thaw detection where SMAP's active radar is better suited.
Application of remote sensing in forest ecosystemaliya nasir
Established remote sensing systems provide opportunities to develop and apply new measurements of ecosystem function across landscapes, regions and continents.
New efforts to predict the consequences of ecosystem function change, both natural and human- induced, on the regional and global distributions and abundances of species should be a high research priority
Development of a SOC Baseline:Experiences from Otjozondjupa, NamibiaExternalEvents
1) Researchers in Namibia developed a soil organic carbon (SOC) baseline for the Otjozondjupa region using various digital soil mapping methods and 237 soil samples.
2) The SOC baseline showed that areas converting from grassland to bush encroachment had lower SOC, while areas converting from bush to grassland had higher SOC.
3) Stakeholder engagement and understanding the socio-economic drivers of land use change, especially the transition to self-governance, are important for developing a relevant SOC baseline and achieving soil carbon sequestration goals.
1. Soil spectroscopy is being used in the Africa Soil Information Service (AfSIS) to monitor soils across Africa and identify soil properties and issues.
2. Infrared spectroscopy allows identification of mineral composition, organic matter, and other properties in soils to help with agricultural and environmental management.
3. AfSIS has established a network of soil spectral labs across Africa and provides online tools and services to analyze soil spectra and properties.
This document discusses methods for inventorying and monitoring tree resources outside of forests using high-resolution aerial imagery. It summarizes research mapping trees in agricultural landscapes to quantify their ecosystem functions. The research uses object-based image analysis of National Agriculture Imagery Program imagery to map trees at county-scales. Functions like windbreaks and riparian areas are identified. Historical windbreak plantings are also digitized from archives to assess changes over time. The research aims to fill gaps in quantifying trees outside forests to better account for their benefits.
The document discusses atmospheric aerosols and their characterization. It notes that aerosols have complex physicochemical properties and their full characterization requires measuring multiple dimensions such as size, composition, shape, and mixing state. Satellite data has helped characterize the global distribution of aerosols but challenges remain in integrating different data sources. Aerosols originate from both natural sources like dust, fires and volcanoes as well as human activities and influence factors like climate, air quality and human health.
Detection of Fish Farm Location Using Satellite ImageDegonto Islam
This document discusses using satellite imagery to detect fish farm locations. It describes what satellite imagery and remote sensing are, and provides a brief history of their use in fisheries research since 1960. The document outlines that multispectral images can distinguish water from vegetation, while panchromatic images have higher resolution but do not differentiate as well. It also explains that merging image types can help identify farm ponds. The document estimates that remote sensing methods can detect farm locations at a lower cost than traditional surveys. Finally, it notes some problems with satellite imagery like atmospheric influences and issues with availability.
This document provides an introduction to Landsat and Google Earth Engine. It discusses what remote sensing is and gives an overview of Landsat, including its history, sensors, data access and applications. It also introduces Google Earth Engine, describing what it is, how it can be used to analyze large geospatial datasets, and provides some examples of analyses that can be done with it, including monitoring land use change.
Landsat 8 is a satellite that collects images of Earth's surface using two sensors - the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). OLI collects images in 9 bands at a spatial resolution of 30 meters for most bands and 15 meters for the panchromatic band. TIRS collects thermal data at 100 meter spatial resolution. Landsat 8 has a 16 day temporal resolution and collects data globally with a 185km swath width. It provides improved capabilities compared to previous Landsat satellites such as enhanced coastal and cirrus cloud detection bands.
- The document discusses using hyperspectral remote sensing for mineral mapping. It provides background on how minerals have unique spectral signatures and defines hyperspectral imagery as image cubes with spatial and spectral data.
- Two case studies are summarized that demonstrate using techniques like atmospheric correction, MNF transformation, and spectral analysis tools like SAM and MTMF on Hyperion satellite imagery to map minerals in areas of India and Pakistan. Key minerals identified include grossularite, calcite, pyrite, andradite, and dolomite.
- The methodology involves preprocessing the hyperspectral cube, identifying endmembers, and then classifying and mapping minerals present based on their spectral properties and signatures in the imagery.
The document discusses the Copernicus program and Sentinel satellite missions for mapping and monitoring peatlands. Sentinel-1 and Sentinel-2 provide radar and optical data with frequent revisits. Copernicus coordinates the space component of the program led by the EU to provide free and open environmental and security data. The Sentinels will support peatland mapping, monitoring and REDD+ initiatives over the next 20 years.
The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
2004-06-24 Satellite Data Us in PM Management: A Retrospective AssessmentRudolf Husar
This document discusses how satellite data has been used to study particulate matter (PM) over time. It notes that PM is a complex phenomenon that requires characterization across multiple dimensions, and that satellites provide valuable spatial context but require integration with other data sources to fully characterize PM. The document outlines several past examples where satellite data helped detect major aerosol events like dust storms and wildfire smoke plumes, and envisions future real-time monitoring systems to aid air quality management.
Remote sensing uses electromagnetic radiation to acquire geospatial data without direct contact with objects. It provides a view of large regions, offering geo-referenced digital information even in tough weather. Common remote sensing tools include Landsat, Ikonos, and Quickbird satellites. Satellite imagery provides information on land cover, land use, habitats, and infrastructure through multiple observations over time, allowing for mapping and monitoring of changes. Applications of remote sensing include urban planning, agriculture, natural resource management, land use mapping, and more. Common satellite types used are geostationary satellites directly over the equator and polar-orbiting satellites that orbit near the poles.
Remote Sensing Based Soil Moisture DetectionCIMMYT
Remote sensing –Beyond images
Mexico 14-15 December 2013
The workshop was organized by CIMMYT Global Conservation Agriculture Program (GCAP) and funded by the Bill & Melinda Gates Foundation (BMGF), the Mexican Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA), the International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Maize, the Cereal System Initiative for South Asia (CSISA) and the Sustainable Modernization of the Traditional Agriculture (MasAgro)
Remote Sensing And GIS Application In Wetland MappingSwetha A
This document discusses remote sensing and GIS applications for wetland mapping. It begins by defining wetlands and describing some of the largest in the world. The three main criteria for identifying wetlands - hydric soils, hydrophytic vegetation, and hydrology - are introduced. Remote sensing data, including IRS P6 LISS III imagery, is used to map wetlands in Karnataka, India. Indices like NDWI, MNDWI, NDVI, and NDPI are calculated from the multi-spectral bands to identify wetland areas. GIS is then used to analyze and interpret the remote sensing data spatially and temporally. Final maps are produced showing the distribution and types of wetlands identified in India and specifically
This study aimed to establish a supervised classification of global blue carbon mangrove ecosystems using remote sensing techniques. Four classification models were compared for two regions of interest: the Zambezi Delta and Rufiji River Delta. The models used different vegetation indices and were assessed against published classification maps for accuracy. The NDVI model achieved the highest accuracy for both regions at around 80-83%. However, all models overpredicted mangrove cover in non-mangrove areas, suggesting improvements are needed to better account for land cover variability. The study demonstrates the potential for remote sensing to map mangroves globally but highlights challenges in achieving high accuracy.
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTUREgrssieee
SMOS and SMAP are satellite missions aimed at globally mapping soil moisture. While SMOS uses passive L-band microwave radiometry with coarse 30-55km resolution, SMAP will use an active L-band radar to achieve higher 9-36km resolution. Both have a 3-day revisit time but SMAP has greater sensitivity. There are opportunities for synergism by intercomparing the two datasets to validate algorithms and identify the optimal approach for long-term soil moisture monitoring, especially for addressing issues like freeze/thaw detection where SMAP's active radar is better suited.
Application of remote sensing in forest ecosystemaliya nasir
Established remote sensing systems provide opportunities to develop and apply new measurements of ecosystem function across landscapes, regions and continents.
New efforts to predict the consequences of ecosystem function change, both natural and human- induced, on the regional and global distributions and abundances of species should be a high research priority
Development of a SOC Baseline:Experiences from Otjozondjupa, NamibiaExternalEvents
1) Researchers in Namibia developed a soil organic carbon (SOC) baseline for the Otjozondjupa region using various digital soil mapping methods and 237 soil samples.
2) The SOC baseline showed that areas converting from grassland to bush encroachment had lower SOC, while areas converting from bush to grassland had higher SOC.
3) Stakeholder engagement and understanding the socio-economic drivers of land use change, especially the transition to self-governance, are important for developing a relevant SOC baseline and achieving soil carbon sequestration goals.
1. Soil spectroscopy is being used in the Africa Soil Information Service (AfSIS) to monitor soils across Africa and identify soil properties and issues.
2. Infrared spectroscopy allows identification of mineral composition, organic matter, and other properties in soils to help with agricultural and environmental management.
3. AfSIS has established a network of soil spectral labs across Africa and provides online tools and services to analyze soil spectra and properties.
This document discusses methods for inventorying and monitoring tree resources outside of forests using high-resolution aerial imagery. It summarizes research mapping trees in agricultural landscapes to quantify their ecosystem functions. The research uses object-based image analysis of National Agriculture Imagery Program imagery to map trees at county-scales. Functions like windbreaks and riparian areas are identified. Historical windbreak plantings are also digitized from archives to assess changes over time. The research aims to fill gaps in quantifying trees outside forests to better account for their benefits.
The document discusses atmospheric aerosols and their characterization. It notes that aerosols have complex physicochemical properties and their full characterization requires measuring multiple dimensions such as size, composition, shape, and mixing state. Satellite data has helped characterize the global distribution of aerosols but challenges remain in integrating different data sources. Aerosols originate from both natural sources like dust, fires and volcanoes as well as human activities and influence factors like climate, air quality and human health.
Detection of Fish Farm Location Using Satellite ImageDegonto Islam
This document discusses using satellite imagery to detect fish farm locations. It describes what satellite imagery and remote sensing are, and provides a brief history of their use in fisheries research since 1960. The document outlines that multispectral images can distinguish water from vegetation, while panchromatic images have higher resolution but do not differentiate as well. It also explains that merging image types can help identify farm ponds. The document estimates that remote sensing methods can detect farm locations at a lower cost than traditional surveys. Finally, it notes some problems with satellite imagery like atmospheric influences and issues with availability.
This document provides an introduction to Landsat and Google Earth Engine. It discusses what remote sensing is and gives an overview of Landsat, including its history, sensors, data access and applications. It also introduces Google Earth Engine, describing what it is, how it can be used to analyze large geospatial datasets, and provides some examples of analyses that can be done with it, including monitoring land use change.
Landsat 8 is a satellite that collects images of Earth's surface using two sensors - the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). OLI collects images in 9 bands at a spatial resolution of 30 meters for most bands and 15 meters for the panchromatic band. TIRS collects thermal data at 100 meter spatial resolution. Landsat 8 has a 16 day temporal resolution and collects data globally with a 185km swath width. It provides improved capabilities compared to previous Landsat satellites such as enhanced coastal and cirrus cloud detection bands.
- The document discusses using hyperspectral remote sensing for mineral mapping. It provides background on how minerals have unique spectral signatures and defines hyperspectral imagery as image cubes with spatial and spectral data.
- Two case studies are summarized that demonstrate using techniques like atmospheric correction, MNF transformation, and spectral analysis tools like SAM and MTMF on Hyperion satellite imagery to map minerals in areas of India and Pakistan. Key minerals identified include grossularite, calcite, pyrite, andradite, and dolomite.
- The methodology involves preprocessing the hyperspectral cube, identifying endmembers, and then classifying and mapping minerals present based on their spectral properties and signatures in the imagery.
The document discusses the Copernicus program and Sentinel satellite missions for mapping and monitoring peatlands. Sentinel-1 and Sentinel-2 provide radar and optical data with frequent revisits. Copernicus coordinates the space component of the program led by the EU to provide free and open environmental and security data. The Sentinels will support peatland mapping, monitoring and REDD+ initiatives over the next 20 years.
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.
The document summarizes the status of the GMES Space Component program. It describes the Sentinel satellite missions for monitoring land, ocean, atmosphere and emergency situations. The Sentinels will provide long-term data continuity as well as improved coverage compared to existing missions. Sentinel data will be freely and openly available to both operational users and the science community. The program is on track, with the first Sentinel launches beginning in 2013.
''Copernicus for sustainable land management'' by Markus Erhard, European Environment Agency (EEA)
Sustainable Land Management Session - EU Space Week 2018, Marseille
The Copernicus programme (REGULATION (EU) No 377/2014) is a cornerstone of the European Union´ efforts:
To monitor the Earth, its environment and ecosystems
To ensure its citizens are prepared and protected for crises, security risks and natural or man-made disasters
Copernicus as user driven Programme
Places a world of insight (data and information) about our planet at the disposal of citizens, public authorities and policy makers, scientists, entrepreneurs and businesses on a full, free and open basis
Is a tool for economic development and a driver for the digital economy
The document provides an overview of the Copernicus program, the EU's Earth observation program. It describes the six Copernicus services that deliver products using Earth observation data and models. It highlights some key Sentinel satellite missions, including the recent successful launch of Sentinel-1B and that Sentinel-3A is now in its operational qualification phase. It also briefly describes the services' products and applications in areas like land monitoring, marine environment monitoring, atmosphere monitoring, climate change, and emergency management.
Advances in satellite EO data analytics for aquaculture - Aquaculture Canada ...GEO Analytics Canada
World aquaculture production continues to grow and now provides half of all fish for human consumption (FAO, 2016a), but its sustainability is being impacted by climate change, competition for space and natural resources, pollution and environmental degradation. Effective management of the sector requires appropriate and accessible data to inform management decisions. Satellite earth observation technology has developed rapidly in the past five years, with numerous advances in spatial resolution, spectral information, frequency of observation, and cost-effectiveness (open data). The information can inform aquaculture development (strategic planning, zonation and site suitability), aquaculture practice and management (inventory, status, monitoring of the environment and monitoring at the farm level), and aquaculture risk management (disaster risk management, response, recovery, monitoring and assessment). While the growing volume of satellite data represents a unique opportunity for aquaculture, it also poses a major challenge to achieve its full potential in terms of extracting valuable management information. A variety of big-data platforms currently seek to address these issues by bringing together satellite data, environmental data, and analytics processing systems. These platforms include the European Space Agency funded Coastal and Food Security Platforms and Google’s Earth Engine. Each platform has a variety of benefits which are discussed.
TH2.L10.5: OVERVIEW ON CALIBRATION AND VALIDATION ACTIVITIES FOR ESA’S SOIL M...grssieee
The document provides an overview of calibration and validation activities for the Soil Moisture and Ocean Salinity (SMOS) mission. It discusses the commissioning phase, data availability, calibration and validation plans involving expert support laboratories and national expert centers. Validation sites and field campaigns are also summarized.
Ms. Josiane Masson and Ms. Violette Geissen on the ESP proposed plan of activities for Pillar 1 (Implementation Plan) at the 4th ESP Plenary Meeting, held in FAO headquarters, 10 - 12 May 2017.
ERIAFF Conference 2014
Seinäjoki, Finland
Anneli Ylimartimo, R&D Specialist
JAMK University of Applied Sciences, Finland
"Development of Water Protection in agrarian Areas along Waterways in Saarijärvi, Central Finland"
Presented by Christian Muller at the PERICLES workshop 'From Semantics of Change to Change of Semantics', University of Borås, 19 May 2015.
http://www.hb.se/en/About-UB/Current/Events/Pericles-F2F/Workshop/
Monitoring and retrieving historical daily surface temperature of sub-alpine ...Sajid Pareeth
The document describes a study that aims to monitor and retrieve historical daily surface temperature data of sub-alpine lakes from satellite imagery over the past two decades. The study will leverage daily thermal imagery from multiple satellite sensors to develop daily homogenized lake surface water temperature time series for each lake. Statistical methods will be used to reconstruct temperature time series with gaps filled in. The reconstructed time series will then be analyzed to study long term warming trends and their links to climatic factors. Preliminary results show good agreement between reconstructed lake surface temperatures and in situ measurements.
Results of the EMODnet Sea-basin Checkpoints: seabed habitatsEMODnet
This presentation gives an overview of the results of the EMODnet Sea-basin Checkpoints (Arctic, Atlantic, Baltic, Black Sea, MedSea & North Sea) related to seabed habitats. The presentation was given by Jan-Bart Calewaert, head of the EMODnet Secretariat, at the EMODnet Sea-Basin Checkpoints Stakeholder Conference held on the 14-15 February 2017 in Brussels.
The document discusses several global and regional soil databases. It notes that the Harmonized World Soil Database is currently the most appropriate freely available global soil database, though it is no longer being updated. Efforts like Globsoilmap aim to map soils at higher resolutions but have not achieved global coverage yet. Regional databases like AfSIS for Africa provide more detailed information. National databases also exist but availability varies. New techniques involving spectroscopy, remote sensing, and statistics aim to improve soil mapping.
This document provides details on TGS's sequence stratigraphic interpretation and play fairway analysis projects for Northeast Newfoundland and Flemish Pass, including:
- Delineating reservoir and seal distribution and identifying prospective hydrocarbon leads.
- Integrating well log and seismic data to define a sequence stratigraphic framework and map 15 depositional sequences.
- Benefits include a reduced exploration cycle time and risk through identifying source, seal and reservoir distributions.
Using BI for deciding and planning the best usage for governmental landscadysamer
how to apply business intelligent techniques in planning and deciding the best usage for lands by categorizing govenmental lands by its criteria and by applying specific model (BILUPC model) you can achieve the proposed result by describing the land by agricultural, industrial or whatever....
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Presented by Phidju Marrin Sagala (Research Consultant, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Carbon Stock Assessment in Banten Province and Demak, Central Java, IndonesiaCIFOR-ICRAF
Presented by Milkah Royna (Student Intern, CIFOR-ICRAF) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Cooperative Mangrove Project: Introduction, Scope, and PerspectivesCIFOR-ICRAF
Presented by Bora Lee (Warm-Temperate and Subtropical Forest Research Center, NIFoS Jeju, Republic of Korea) at the "Climate Change Adaptation and Mitigation with Mangrove Ecosystems: Introducing Mangrove Ecosystems Strategies to the Climate Change Agenda" event in Bogor, 29 April 2024.
Evolving Lifecycles with High Resolution Site Characterization (HRSC) and 3-D...Joshua Orris
The incorporation of a 3DCSM and completion of HRSC provided a tool for enhanced, data-driven, decisions to support a change in remediation closure strategies. Currently, an approved pilot study has been obtained to shut-down the remediation systems (ISCO, P&T) and conduct a hydraulic study under non-pumping conditions. A separate micro-biological bench scale treatability study was competed that yielded positive results for an emerging innovative technology. As a result, a field pilot study has commenced with results expected in nine-twelve months. With the results of the hydraulic study, field pilot studies and an updated risk assessment leading site monitoring optimization cost lifecycle savings upwards of $15MM towards an alternatively evolved best available technology remediation closure strategy.
Presented by The Global Peatlands Assessment: Mapping, Policy, and Action at GLF Peatlands 2024 - The Global Peatlands Assessment: Mapping, Policy, and Action
Kinetic studies on malachite green dye adsorption from aqueous solutions by A...Open Access Research Paper
Water polluted by dyestuffs compounds is a global threat to health and the environment; accordingly, we prepared a green novel sorbent chemical and Physical system from an algae, chitosan and chitosan nanoparticle and impregnated with algae with chitosan nanocomposite for the sorption of Malachite green dye from water. The algae with chitosan nanocomposite by a simple method and used as a recyclable and effective adsorbent for the removal of malachite green dye from aqueous solutions. Algae, chitosan, chitosan nanoparticle and algae with chitosan nanocomposite were characterized using different physicochemical methods. The functional groups and chemical compounds found in algae, chitosan, chitosan algae, chitosan nanoparticle, and chitosan nanoparticle with algae were identified using FTIR, SEM, and TGADTA/DTG techniques. The optimal adsorption conditions, different dosages, pH and Temperature the amount of algae with chitosan nanocomposite were determined. At optimized conditions and the batch equilibrium studies more than 99% of the dye was removed. The adsorption process data matched well kinetics showed that the reaction order for dye varied with pseudo-first order and pseudo-second order. Furthermore, the maximum adsorption capacity of the algae with chitosan nanocomposite toward malachite green dye reached as high as 15.5mg/g, respectively. Finally, multiple times reusing of algae with chitosan nanocomposite and removing dye from a real wastewater has made it a promising and attractive option for further practical applications.
Optimizing Post Remediation Groundwater Performance with Enhanced Microbiolog...Joshua Orris
Results of geophysics and pneumatic injection pilot tests during 2003 – 2007 yielded significant positive results for injection delivery design and contaminant mass treatment, resulting in permanent shut-down of an existing groundwater Pump & Treat system.
Accessible source areas were subsequently removed (2011) by soil excavation and treated with the placement of Emulsified Vegetable Oil EVO and zero-valent iron ZVI to accelerate treatment of impacted groundwater in overburden and weathered fractured bedrock. Post pilot test and post remediation groundwater monitoring has included analyses of CVOCs, organic fatty acids, dissolved gases and QuantArray® -Chlor to quantify key microorganisms (e.g., Dehalococcoides, Dehalobacter, etc.) and functional genes (e.g., vinyl chloride reductase, methane monooxygenase, etc.) to assess potential for reductive dechlorination and aerobic cometabolism of CVOCs.
In 2022, the first commercial application of MetaArray™ was performed at the site. MetaArray™ utilizes statistical analysis, such as principal component analysis and multivariate analysis to provide evidence that reductive dechlorination is active or even that it is slowing. This creates actionable data allowing users to save money by making important site management decisions earlier.
The results of the MetaArray™ analysis’ support vector machine (SVM) identified groundwater monitoring wells with a 80% confidence that were characterized as either Limited for Reductive Decholorination or had a High Reductive Reduction Dechlorination potential. The results of MetaArray™ will be used to further optimize the site’s post remediation monitoring program for monitored natural attenuation.
RoHS stands for Restriction of Hazardous Substances, which is also known as t...vijaykumar292010
RoHS stands for Restriction of Hazardous Substances, which is also known as the Directive 2002/95/EC. It includes the restrictions for the use of certain hazardous substances in electrical and electronic equipment. RoHS is a WEEE (Waste of Electrical and Electronic Equipment).
Microbial characterisation and identification, and potability of River Kuywa ...Open Access Research Paper
Water contamination is one of the major causes of water borne diseases worldwide. In Kenya, approximately 43% of people lack access to potable water due to human contamination. River Kuywa water is currently experiencing contamination due to human activities. Its water is widely used for domestic, agricultural, industrial and recreational purposes. This study aimed at characterizing bacteria and fungi in river Kuywa water. Water samples were randomly collected from four sites of the river: site A (Matisi), site B (Ngwelo), site C (Nzoia water pump) and site D (Chalicha), during the dry season (January-March 2018) and wet season (April-July 2018) and were transported to Maseno University Microbiology and plant pathology laboratory for analysis. The characterization and identification of bacteria and fungi were carried out using standard microbiological techniques. Nine bacterial genera and three fungi were identified from Kuywa river water. Clostridium spp., Staphylococcus spp., Enterobacter spp., Streptococcus spp., E. coli, Klebsiella spp., Shigella spp., Proteus spp. and Salmonella spp. Fungi were Fusarium oxysporum, Aspergillus flavus complex and Penicillium species. Wet season recorded highest bacterial and fungal counts (6.61-7.66 and 3.83-6.75cfu/ml) respectively. The results indicated that the river Kuywa water is polluted and therefore unsafe for human consumption before treatment. It is therefore recommended that the communities to ensure that they boil water especially for drinking.
Improving the viability of probiotics by encapsulation methods for developmen...Open Access Research Paper
The popularity of functional foods among scientists and common people has been increasing day by day. Awareness and modernization make the consumer think better regarding food and nutrition. Now a day’s individual knows very well about the relation between food consumption and disease prevalence. Humans have a diversity of microbes in the gut that together form the gut microflora. Probiotics are the health-promoting live microbial cells improve host health through gut and brain connection and fighting against harmful bacteria. Bifidobacterium and Lactobacillus are the two bacterial genera which are considered to be probiotic. These good bacteria are facing challenges of viability. There are so many factors such as sensitivity to heat, pH, acidity, osmotic effect, mechanical shear, chemical components, freezing and storage time as well which affects the viability of probiotics in the dairy food matrix as well as in the gut. Multiple efforts have been done in the past and ongoing in present for these beneficial microbial population stability until their destination in the gut. One of a useful technique known as microencapsulation makes the probiotic effective in the diversified conditions and maintain these microbe’s community to the optimum level for achieving targeted benefits. Dairy products are found to be an ideal vehicle for probiotic incorporation. It has been seen that the encapsulated microbial cells show higher viability than the free cells in different processing and storage conditions as well as against bile salts in the gut. They make the food functional when incorporated, without affecting the product sensory characteristics.
Epcon is One of the World's leading Manufacturing Companies.EpconLP
Epcon is One of the World's leading Manufacturing Companies. With over 4000 installations worldwide, EPCON has been pioneering new techniques since 1977 that have become industry standards now. Founded in 1977, Epcon has grown from a one-man operation to a global leader in developing and manufacturing innovative air pollution control technology and industrial heating equipment.
Improving the Management of Peatlands and the Capacities of Stakeholders in I...
How Earth observation can support monitoring wetlands and peatlands
1. ESA UNCLASSIFIED - For Official Use
How Earth observation can support
monitoring wetlands and peatlands
Frank Martin Seifert
Earth Observation Directorate
ESA-ESRIN, Frascati
2. ESA UNCLASSIFIED - For Official Use
A New Generation of Data Sources
Sent-1A/B Sent-2A/B Sent-3A/B Sent-5/5P Sent-6/Jason-CSSent-4A/B
Copernicus is a European space flagship programme led by the
European Union;
Copernicus provides the necessary data for operational monitoring of
the environment and for civil security;
Copernicus consists of an in-situ, a space and a services component,
where ESA coordinates the space component;
Data policy: free and open access;
https://scihub.copernicus.eu/
3. ESA UNCLASSIFIED - For Official Use
… for today and for the future
S1: Radar Mission
S2: High Resolution Optical Mission
S3: Medium Resolution Imaging and Altimetry Mission
S4: Geostationary Atmospheric Chemistry Mission
S5P: Low Earth Orbit Atmospheric Chemistry Precursor Mission
S5: Low Earth Orbit Atmospheric Chemistry Mission
S6 (Jason-CS): Altimetry Mission
4. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 4
Sentinel-1 and Sentinel-2
Sentinel-2A / -2B
• multispectral (13 bands)
• 290 km swath width
• 10 days repeat cycle
http://sentinel.esa.int/
Sentinel-1A / -1B
• night and day radar
imaging
• C-band SAR
• 12 days repeat cycle
5. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 5
Mapping Peatlands in Sweden:
Store Mosse-Kävsjön
Tree cover
Shrubs cover areas
Grassland
Cropland (rainfed, irrigated)
Vegetation aquatic or reg. flooded
Lichens and mosses
Bare areas
Built up areas
Snow and/or Ice
Open water
Sentinel-2
2015-08-19
Sentinel-1 (VV)
2014-2016
6. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 6
Wetlands Inventory and
Habitat Mapping in Africa
Tree cover
Shrubs cover areas
Grassland
Cropland (rainfed, irrigated)
Vegetation aquatic or reg. flooded
Lichens and mosses
Bare areas
Built up areas
Snow and/or Ice
Open water
• Identification and delineation of
wetlands areas as a support to wetland
inventories.
• Detect changes of wetland habitats,
derive trends of wetland status, assess
threats and estimate impacts
• Standardized Land Cover / Habitat
Classification scheme incorporating the
Ramsar wetlands typologies.
www.globwetland-africa.org
Wetland Inventory, Lake Tonga, Algeria
7. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 7
Wildfires in Indonesia 2015 detected by
Sentinel-1
First burned area map of Sumatra, Kalimantan, West-Papua (1,500,000 km²), 10 m spatial resolution
S1 False color
composite
Red: Burned area
S1 False color
composite
Red: Burned area
S1 False color
composite
Red: Burned area
fire
cci
fire
cci
8. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 8
› Burned area for Indonesia’s fire catastrophe
2015: 46,046 km²
› Emissions include aboveground vegetation
and peat emission estimates
(Konecny et al. 2015 Global Change Biology)
Wetlands International
peat layer
Ministry of Forestry
Land Cover
Burned area
890.4 Mt CO2-eq
501.8 Mt CO2-eq
388.6 Mt CO2-eq
Total:
Vegetation:
Peat:
Burned area and fire emissions
derived from Sentinel-1
peat
emissions
vegetation
emissions
fire
cci
9. ESA UNCLASSIFIED - For Official Use FM Seifert | 09/04/2017 | Slide 9
GlobPeatland – ESA’s contribution
to the Global Peatland Initiative
• Improved mapping and monitoring of
degraded and cultivated peatlands;
• Addressing peatlands in the boreal zone and the
tropics including the three GPI pilot countries;
• Derive standardize methods and best practices
used for the assessment of peatlands;
• Users: UNEP, UNFCCC, FAO, Wetlands International,
RAMSAR convention, …
Mitigation potential by implementing
responsible and sustainable management;
Preventing further peatland degradation;
Supporting conservation and restoration;
10. ESA UNCLASSIFIED - For Official Use
Summary
• The European Copernicus Programme will secure continuity of
observations and data availability for the next 20+ years with free and
open access for everybody https://scihub.copernicus.eu/
• The Sentinels will be major workhorses for wetland and peatland
mapping and monitoring;
• Development of Open Source Toolboxes e.g. GlobWetland Africa TB
• ESA will support the Global Peatland Initiative with a dedicated project
developing and demonstrating methodologies for peatland mapping and
monitoring defined in dialogue with users world-wide.
ESA UNCLASSIFIED - For Official Use
Editor's Notes
S3-B launch Q4/2017
1. we do not cover whole Indonesia
2. we calculate with different emission factors
3. we do not cover all burned areas within 2015
4. we use the idea of different burn depth based on number of fires
5. we use 17 cm instead of 30 cm “Variable carbon losses from recurrent fires in drained tropical peatland“, Global Change Biology (2016) 22, 1469–1480, doi: 10.1111/gcb.13186
1. we do not cover whole Indonesia
2. we calculate with different emission factors
3. we do not cover all burned areas within 2015
4. we use the idea of different burn depth based on number of fires
5. we use 17 cm instead of 30 cm “Variable carbon losses from recurrent fires in drained tropical peatland“, Global Change Biology (2016) 22, 1469–1480, doi: 10.1111/gcb.13186