Introduction to Satellite Derived Vegetation Indices

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Introduction to Satellite Derived Vegetation Indices Rishiraj Dutta Space Application Section Information and Communication Technology & Disaster Risk Reduction Division 1 Introduction to the Use of Geospatial Information Technology for Drought Risk Management 13-17 November, 2017 Tonle Bassac II Restaurant, Phnom Penh, Cambodia What is Vegetation Index? A Vegetation Index is an indicator that describes the greenness the relative density and health of vegetation — for each pixel in a satellite image. (Laymen Definition) United Nations Economic and Social Commission for Asia and the Pacific 2 Reference: https://phenology.cr.usgs.gov/ndvi_foundation.php

Transcript of Introduction to Satellite Derived Vegetation Indices

Page 1: Introduction to Satellite Derived Vegetation Indices

Introduction to Satellite Derived Vegetation Indices

Rishiraj DuttaSpace Application Section

Information and Communication Technology & Disaster Risk Reduction Division

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Introduction to the Use of Geospatial Information Technology for Drought Risk Management13-17 November, 2017

Tonle Bassac II Restaurant, Phnom Penh, Cambodia

What is Vegetation Index?

A Vegetation Index is an indicator thatdescribes the greenness — the relativedensity and health of vegetation — for eachpixel in a satellite image. (Laymen Definition)

United Nations Economic and Social Commission for Asia and the Pacific 2

Reference: https://phenology.cr.usgs.gov/ndvi_foundation.php

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What is Vegetation Index? (Contd.…)

Some mathematical combination ortransformation of spectral bands thataccentuates the spectral properties of greenplants so that they appear distinct fromother image features. (Scientific Definition)

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What Vegetation Indices Does?

•Indicate the AMOUNT of vegetation (e.g.,%cover, LAI, biomass, etc.);

•Distinguish between soil and vegetation;•Reduce atmospheric and topographiceffects if possible.

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Spectral Reflectance Curve

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Improved Reflectance Curve by NASA

Normalized Difference Vegetation Index (NDVI)•To determine density of green vegetation;•Observe the distinct colors of visible and near-infrared light reflected by the plants.

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False Color Composite (FCC) of a satellite image showing thedifferent characteristics of the image features

Reference: http://www.cawa-project.net/system/files/image/story/body_img/ScreenShot_rapidEye.png

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NDVI (Contd.…)• NDVI calculated from the visible and

near-infrared light reflected byvegetation;

• Healthy vegetation (left) absorbs most ofthe visible light that hits it, and reflects alarge portion of the near-infrared light;

• Unhealthy or sparse vegetation (right)reflects more visible light and less near-infrared light.

United Nations Economic and Social Commission for Asia and the Pacific 7Reference: https://earthobservatory.nasa.gov/Features/MeasuringVegetation/measuring_vegetation_2.php

NDVI Range• NDVI for a given pixel always result in a number that

ranges from minus one (-1) to plus one (+1);• No green leaves gives a value close to zero. A zero

means no vegetation and;• High NDVI Values, +1 (0.8 - 0.9) indicates healthy

vegetation;• Low NDVI values, -1 indicates less or no vegetation.

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NDVI for the period from March to October 2017Source: GISTDA

Period of Coverage: Mar/Apr/May/Jul/Oct

Mapping Paddy Areas in Cambodia

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Kandal & Prey Veng Province Wet Season 2010 (MODIS) Kandal & Prey Veng Province Dry Season 2010 (MODIS)

Deshapriya et al., 2010

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Brief Methodology Used

United Nations Economic and Social Commission for Asia and the Pacific 11Deshapriya et al., 2010

Comparison of Paddy Area from MODIS based Results and Ground based Statistics

Crop Intensity Map

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Kandal & Prey Veng Province Crop Intensity Map 2010 (MODIS)

Deshapriya et al., 2010

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Paddy Area Distribution

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Paddy Area Distribution in Cambodia for Wet Season (2014)

Paddy Area Comparison of MODIS based result and ground statistics in Cambodia for Wet Season

Deshapriya et al., 2010

Normalized Difference Water Index (NDWI)• Satellite-derived index estimating the leaf water

content at canopy level;• Derived from the Near-Infrared (NIR) and Short Wave

Infrared (SWIR) channels;• NDWI product: varies between -1 to +1.

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NDWI (Contd.…)• High values of NDWI

• Correspond to high vegetation water content and to high vegetation fractioncover

• Low NDWI values• Correspond to low vegetation water content and low vegetation fractioncover.

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NDWI for the period from March to October 2017Source: GISTDA

Period of Coverage: Mar/Apr/May/Jun/Jul/Oct

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Soil Adjusted Vegetation Index (SAVI)•Modification of the NDVI to correct theinfluence of soil brightness when vegetativecover is low;

•SAVI is structured similar to the NDVI butwith the addition of a “soil brightnesscorrection factor”.

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SAVI (Contd.…)

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Reference :A joint project of the USDA-ARS Jornada Experimental Range, the BLM-AIM Program, and the Idaho Chapter of The Nature Conservancy

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Vegetation Condition Index (VCI)• Compares the current NDVI to the range of values

observed in the same period in previous years;• VCI expressed in %;• Lower and higher values indicate bad and good

vegetation state conditions, respectively.

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Reference: http://land.copernicus.eu/global/products/vci

VCI Global (NOAA AVHRR) , 4 km, 7-day Composite

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Reference: http://www.ospo.noaa.gov/Products/land/vhp/VCI.html

4th November (Week of 44)

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Greenness (NDVI) 2014

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18-March-2014 15-April-2014 20-May-2014 17-June-2014

22-July-2014 19-August-2014 16-September-2014 21-October-2014

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Drought Situation in Cambodia (2014)

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18-March-2014 15-April-2014 20-May-2014 17-June-2014

22-July-2014 19-August-2014 16-September-2014 21-October-2014

Reference: https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/vh_browseByCountry.php

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Where can you find Satellite data for DroughtStudies?NOAA AVHRR (1-km & 4-km, 7-day Composite)https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/index.phpUSGS Earth Explorerhttps://earthexplorer.usgs.gov/Landsat Data Accesshttps://landsat.usgs.gov/landsat-data-accessLand Processes Distributed Active Archive Centerhttps://lpdaac.usgs.gov/data_access/data_pool/

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