This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Types of Platforms
1. Airbrone Platforms
2. Spacebrone Platforms
Platforms are Vital Role in remote sensing data acquisition
Necessary to correct the position the remote sensors that collect data from the objects of interest
Introduce variable/ Indices using landsat imageKabir Uddin
Image Index is a “synthetic image layer” created from the existing bands of a multispectral image. This new layer often provides unique and valuable information not found in any of the other individual bands.
Image index is a calculated result or generated product from satellite band/channels
It helps to identify different land cover from mathematical definition .
Land cover supervised classification at Toro Park, CaliforniaLisa Jensen
Using USGS National Agriculture Imagery Program (NAIP) data, a supervised classification was performed within ERDAS Imagine to provide resource managers a better understanding of land cover at Toro Park, California.
Landsat data and its application in landuse and landcover .(NIT ROURKELA)IndrajeetKumar110
Landsat data and its application in landuse and landcover .classification of mining area and technology of assessing the use of land for various large scale development
Introduction -Remote means – far away ; Sensing means – believing or observing or acquiring some information.
Remote sensing means acquiring information of things from a distance with sensors. (without touching the things)
Sensors are like simple cameras except that they not only use visible light but also other bands of the electromagnetic spectrum such as infrared, microwaves and ultraviolet regions.
Distance of Remote Sensing, Definition of remote sensing - Remote Sensing is:
“The art and science of obtaining information about an object without being in direct contact with the object” (Jensen 2000).
India’s National Remote Sensing Agency (NRSA) defined as : “Remote sensing is the technique of deriving information about objects on the surface of the earth without physically coming into contact with them.”
Remote Sensing Process, - (A) Energy Source or Illumination.
(B) Radiation and the Atmosphere.
(C) Interaction with the Target.
(D) Recording of Energy by the Sensor.
(E) Transmission, Reception, & Processing.
(F) Interpretation and Analysis.
(G) Application.
Remote sensing platforms , History of Remote Sensing, Applications of remote sensing - In Agriculture, In Geology, Applications of National Priority.
A seven-planet resonant chain in TRAPPIST-1Sérgio Sacani
The TRAPPIST-1 system is the first transiting planet system
found orbiting an ultracool dwarf star1. At least seven planets
similar in radius to Earth were previously found to transit
this host star2. Subsequently, TRAPPIST-1 was observed as
part of the K2 mission and, with these new data, we report
the measurement of an 18.77 day orbital period for the outermost
transiting planet, TRAPPIST-1 h, which was previously
unconstrained. This value matches our theoretical expectations
based on Laplace relations3 and places TRAPPIST-1 h
as the seventh member of a complex chain, with three-body
resonances linking every member. We find that TRAPPIST-1 h
has a radius of 0.752 R⊕ and an equilibrium temperature of
173 K. We have also measured the rotational period of the star
to be 3.3 days and detected a number of flares consistent with
a low-activity, middle-aged, late M dwarf.
In this article Mohammad Shahid has explained about GSAT 18 SATTELITE, GSLV & INSAT 3DR AND ROSETTA MISSION.
ISRO’s GSLV F05 spacecraft has successfully placed INSAT 3DR satellite into a Geostationary Transfer Orbit
(GTO) which will station in geosynchronous orbit.
About INSAT-3DR:
It is an advanced weather satellite to provide a variety of meteorological services to the country.
It will provide imaging in Middle Infrared band to provide night time pictures of low clouds and fog.
It can also provide Imaging in two Thermal Infrared bands for estimation of Sea Surface Temperature
(SST) with better accuracy.
About GSLV F05:
It was the tenth flight of India's Geosynchronous Satellite Launch Vehicle.
This is the third successful launch with the indigenous cryogenic engine in GSLV.
It is a three-staged vehicle and cryogenic engine is used in the third and final stage.
GSLVs are used to carry heavy satellites (usually 2 to 2.5 tonnes) into Geostationary Transfer Orbit.
Development of National Land Cover Monitoring System for NepalKabir Uddin
The National Land Cover Monitoring System (NLCMS) has been developed to provide annual land cover maps by using consistent remote sensing datasets. This is an operational and flexible system to produce land cover maps from 2000
Classification Accuracy Assessment: Accuracy assessment is performed by comparing the map created by remote sensing analysis to a reference map based on a different information source.
This presentation will give a simple overview of image classification technique using difference type software focusing on object-based image classification and segmentation.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
The affect of service quality and online reviews on customer loyalty in the E...
Band Combination of Landsat 8 Earth-observing Satellite Images
1. International Centre for Integrated Mountain Development
Kathmandu, Nepal
Image Credit: NASA's Goddard Space Flight Center
Kabir Uddin, GIS and RS Analyst
Email: kabir.uddin@icimod.org kabir.uddin.bd@gmail.com
Band Combination of
Landsat 8 Earth-observing
satellite Images
2. Landsat 8
The Landsat program offers the longest continuous global record of the
Earth’s surface
In 1975, NASA Administrator Dr. James Fletcher predicted that if one
space age development would save the world, it would be Landsat and
its successor satellites. Since the early 1970s, Landsat has
continuously and consistently archived images of Earth
On Feb. 11, 2013, NASA launched the Landsat 8 Earth-observing
satellite
Landsat 8 officially began normal operations on May 30, 2013
Landsat 8 has collected about 400 scenes of the Earth’s surface per
day.
Each of these scenes covers an area of about 185 by 185 kilometers
3. Band Band
Name
Spectral
range (nm)
Use of
data
Resoluti
on
1 New Deep Blue 433-453 Aerosol/coastal zone 30 m
2 Blue 450-515 Pigments/scatter/coastal
30 m
(TM
heritage
bands)
3 Green 525-600 Pigments/coastal
4 Red 630-680 Pigments/coastal
5 NIR 845-885 Foliage/coastal
6 SWIR 2 1560-1660 Foliage
7 SWIR 3 2100-2300 Minerals/litter/no scatter
8 PAN 500-680 Image sharpening 15 m
9 SWIR 1360-1390 Cirrus cloud detection 30 m
Landsat 8 Bands
4. Landsat 8 enhancement
Landsat 8
images
normally
looks hazy
before
processing.
Please have a
look of
Landsat 8
images of Inle
Lake before
and after
processing.