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N. R. Patel
Researcher at Indian Institute of Remote Sensing
Publications - 99
Citations - 2017
N. R. Patel is an academic researcher from Indian Institute of Remote Sensing. The author has contributed to research in topics: Normalized Difference Vegetation Index & Vegetation. The author has an hindex of 18, co-authored 81 publications receiving 1437 citations. Previous affiliations of N. R. Patel include Gujarat Agricultural University & Indian Space Research Organisation.
Papers
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Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI)
TL;DR: In this article, the authors assess the efficiency of remote sensing and GIS techniques for monitoring the spatio-temporal extent of agricultural drought through NDVI based Vegetation Condition Index.
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Analyzing spatial patterns of meteorological drought using standardized precipitation index
TL;DR: In this paper, a 3-month time series of rainfall data from 160 stations were used to derive the standardized precipitation index (SPI), particularly at 3 months time scales and interpolated to depict spatial patterns of meteorological drought and its severity during typical drought and wet years.
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Assessing potential of MODIS derived temperature/vegetation condition index (TVDI) to infer soil moisture status
TL;DR: In this article, the potential of the temperature/vegetation dryness index (TVDI) from the MODIS to assess soil moisture status in sub-humid parts of India (western Uttar Pradesh).
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Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data
TL;DR: Results showed significant and positive relations between CMI (crop moisture index) and VTCI observed particularly during prominent drought periods which proved VTCi as an ideal index to monitor terminal drought at regional scale.
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Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model.
TL;DR: The comparison of CASA-based annual NPP estimates with the similar products from other operational algorithms indicate that high agreement exists between the CASA and MODIS products over all land covers of the country, while agreement between CASa and C-Fix products is relatively low over the region dominated by agriculture and grassland, and the agreement is very high over the forest land.