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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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Page 1: Modern Satellite Systems and Cloud Based Software: Effective … › speaker › SpeakersImages › ... · 2017-02-10 · Modern Satellite Systems and Cloud Based Software: Effective

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

Page 32: Modern Satellite Systems and Cloud Based Software: Effective … › speaker › SpeakersImages › ... · 2017-02-10 · Modern Satellite Systems and Cloud Based Software: Effective

• 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

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

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Thank You!!!

For more information write to us at

[email protected]