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Botany / Forests / Ecoregions / Ecology / Habitats / Normalized Difference Vegetation Index / Phenology / EVI / Vegetation / Biology / Systems ecology / Biogeography


Spot-Vegetation multi temporal data for classifying vegetation in South Central Asia Shefali Agrawal*, P.K. Joshi, Yogita Shukla, P.S. Roy Indian Institute of Remote Sensing, 4- Kalidas Road, Dehradun[removed], Uttaranchal
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Document Date: 2010-08-25 08:23:38


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City

Seth / ISPARA / Davenport / /

Company

Geographic Information Systems / Coastal / /

Continent

Asia / /

Country

Myanmar / Italy / India / /

Event

Environmental Issue / /

Facility

Prentice Hall / Indian Institute of Remote Sensing / Joint Research Center / Roy Indian Institute of Remote Sensing / /

IndustryTerm

atmosphere energy interactions / temporal satellite data / vegetation using meteorological satellite data / meteorological satellite / multitemporal satellite / unsupervised clustering algorithm / ecosystem management / multi temporal resolution satellite images / imaging / energy / /

NaturalFeature

Desert dune / Tidal Swamp Forests / Northeastern hills / Central Highlands / Pine Forests / /

Organization

Indian Institute of Remote Sensing / United Nations / US Federal Reserve / European Commission / Joint Research Center / National Oceanic and Atmospheric Administration / /

Person

R. Beuchle / V / Forest Classes / M. Sibylle Itzerott / Marc Zebisch / /

Position

representative data sets / Major / representative / /

ProvinceOrState

New Jersey / S.K. / Uttaranchal / Rajasthan / Assam / /

Region

south central Asia / Antarctic / Northern Myanmar / Central Asia / East Africa / South Asia / Southeast Asia / Northeast India / central India / /

Technology

Remote Sensing / unsupervised clustering algorithm / Image Processing / /

URL

Http /

SocialTag