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Modern Satellite Systems
and
Cloud Based Software: Effective Tools for Mapping
and Monitoring of Agricultural Crops
Rajesh S Paul
Director
Geospatial World Forum-2017 Hyderabad, India
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• About us
• Modern Satellite Systems and Its Application in
Agriculture
• GeoAnalitika.AGRO for Cloud Based Crop Monitoring
• Major Advantages
Presentation Outline
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Excel Geomatics is a Consultancy and Value Added Services Company
Experienced and motivated bunch of professionals with strong & diverse educational
background like Geology, Geography, Environmental Science, Engineering, Life
Sciences and Forestry, etc. along with Degree in Remote Sensing or related fields
Excel Geomatics serves clients using technologies such as-
o Remote Sensing
o Photogrammetry
o LiDAR
In a short span of time, Excel Geomatics has been able to win >60 International and
National projects in 15 countries
>80% of the business in Excel Geomatics is ‘Repeat Business’
Have experience of satellite based crop monitoring in Sudan for the past 5 years
About Our Company
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About Our Company
Forestry
Geo-Marketing
Power Sector
Consultancy
&
Services Areas
Domains of Intervention by Excel Geomatics
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• About us
• Modern Satellite Systems and Its Application in
Agriculture
• GeoAnalitika.AGRO for Cloud Based Crop Monitoring
• Major Advantages
Presentation Outline
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Various Modern Satellite Systems are found to be very useful for Crop Mapping and Monitoring
o IRS Series, AWiFS, LISS III and LISS IV
o SPOT
o RapidEye
o Planet Scope
o Landsat Series
o Sentinel-1
o Sentinel-2
Modern Satellite Systems
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About Sentinel-2
Constellation of Twin Satellites: Sentinel 2A and 2B
From European Space Agency
Sentinel 2A was launched in December, 2015
Sentinel 2B is scheduled to be launched in March 2017
Twin Satellites Sentinel 2A and 2Bgoing to be placed at an interval of 180 degrees
Current Revisit Period is 10 Days
After the Launch of Sentinel 2B the temporal resolution will be increased to 5 days
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About Sentinel-2
Swath is 290 Km
The satellites are equipped with the state-of-the-art MSI (Multispectral Imager) instrument, that offers high-resolution optical imagery
12 Spectral Bands
Spatial Resolution of 10m, 20m and 60m
Consists of Red Edge Bands which helps in early identification of certain crops
NIR and SWIR Bands also present
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About Sentinel-2
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Agricultural Crop Monitoring Using Sentinel-2
Major Agricultural Belt of Sudan
Covering Approximately 807,536 Sq. Km Area
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Agricultural Crop Monitoring Using Sentinel-2
Sentinel-2 Coverage of the Study Area
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Agricultural Crop Monitoring Using Sentinel-2
Spectral Signature and Time Series Based Image Analysis
Sesame 543 Band (1st Set) Sesame Field Millet 543 Band (1st Set) Millet Field
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Agricultural Crop Monitoring Using Sentinel-2
Spectral Signature and Time Series Based Image Analysis
1st Set of Image
2nd Set of Image Corresponding Field Photograph
September November October
September November October
1st Set of Image
2nd Set of Image
Corresponding Field
Photograph
September November November
October November November
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Sentinel-2 Based Crop Acreage Map
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Sentinel-2 Based Crop Performance Map
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• About us
• Modern Satellite Systems and Its Application in
Agriculture
• GeoAnalitika.AGRO for Cloud Based Crop Monitoring
• Major Advantages
Presentation Outline
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GeoAnalitika.AGRO is a Cloud Based Crop Monitoring Software
Subscription Based Licensing
OEM
o Russian Scientists and Developers
Distributor
o Asia, Africa and Latin Americas
Geoanalitika.AGRO
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Geo-system modeling
Geoanalitika.AGRO: Concept Used
Machine learning
Customization according to client requirements
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Functions used in Data Mining Process
o Spatiotemporal analysis of remote sensing data
o Analysis of archive and up-to-date meteorological data
o Object similarity analysis
o Outliers (artifacts) detection
o Classification of objects by a set of parameters
o Clustering
o Generation of models and rules for data structure
description
Geoanalitika.AGRO: Functions Used
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Humble input
Satellite imagery Meteorological data Elevation External web-services User information
Geoanalitika.AGRO
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Automatic RS data collection and pre-processing
Geoanalitika.AGRO
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Automatic import of meteorological data
Geoanalitika.AGRO
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Automatic RS data thematic processing NDVI and EVI (vegetation), NDWI (moisture), temperature and etc.
Geoanalitika.AGRO
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Near real-time analysis of meteorological data (temperature, humidity, precipitation, atmosphere pressure)
Geoanalitika.AGRO
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Digital Elevation Models’ Analysis (slopes and aspects, insolation, wetness index, soil erosion risk)
Geoanalitika.AGRO
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Geo-morphometry analysis using DEM (photosynthetic active radiation)
Geoanalitika.AGRO
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Comprehensive information about crops growth (phenological phase, biophysical parameters, vulnerability to drought)
Geoanalitika.AGRO: Output
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Maps of plant health
Geoanalitika.AGRO : Output
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Maps of plants growing conditions / overwintering
Geoanalitika.AGRO : Output
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Map interface
… to get statistics from any target contour (parcel or field, farm territory or administrative area of any level)
Geoanalitika.AGRO
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Analytical interface
… to diagram and report in most descriptive way
Geoanalitika.AGRO
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• About us
• Modern Satellite Systems and Its Application in
Agriculture
• GeoAnalitika.AGRO for Cloud Based Crop Monitoring
• Major Advantages
Presentation Outline
![Page 33: Modern Satellite Systems and Cloud Based Software: Effective … › speaker › SpeakersImages › ... · 2017-02-10 · Modern Satellite Systems and Cloud Based Software: Effective](https://reader035.vdocuments.mx/reader035/viewer/2022081400/5f118d43be30034aa05fb0b8/html5/thumbnails/33.jpg)
Major Advantages
Sentinel-2
o Available Free of Cost therefore saves Input Cost
o Optimal Resolution of 10m (VNIR), suitable for Crop Mapping
o High Temporal Resolution of 10/5 Days, very good for Continuous
Monitoring
o Variety of Spectral Bands help in manifold analysis of Crop
o Swath of 290 Km helps in covering larger areas with lesser images
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Major Advantages
Geoanalitika.AGRO
o It is a Cloud-based Solution, therefore no GIS Infrastructure Required
at the client’s end
o Very less human intervention, so chances of biasness is negligible
o Has the capability to process different types of images through API
o Variety of inputs like satellite images, meteorological data,
topographical data etc are used
o Client can visualize individual satellite images used for processing
o Algorithms developed by experts in the field of Agriculture and Image
processing
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Major Advantages
Geoanalitika.AGRO
o Maps of cultivated areas, agricultural land structure, harvested fields are
generated
o Variety of Vegetation Indices are created which helps in assessing the crop
health from different aspects (not only NDVI based)
o Crop Health Map is created which shows the spatial distribution of crop
performance
o Maps of Crop Growing Condition can be visualized
o The analytical interface helps in viewing different statistics, graphs and reports
from Farm Level to any other Administrative Level
o Helps in decision making