Publication:
Geoinformation Technology for Drought Assessment

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dc.contributor.authorKundu, Arnab
dc.contributor.authorMall, R.K.
dc.contributor.authorPatel, N.R.
dc.contributor.authorDutta, Dipanwita
dc.date.accessioned2025-03-01T06:02:50Z
dc.date.available2025-03-01T06:02:50Z
dc.date.issued2020
dc.description.abstractDrought mainly happens due to lack of rain or below normal rainfall in a region, and it causes water shortage for agricultural crops and is associated with other climate-related factors. This chapter aims to assess the mete- orological and agricultural drought risk over the Bundelkhand region (central part) of India, comprising seven districts of Uttar Pradesh and six districts of Madhya Pradesh states, through the remote sensing-derived Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), and meteorological-based Standardized Precipitation Index (SPI). Daily rainfall data from National Oceanic and Atmospheric Administration (NOAA) and Climate Prediction Center (CPC) have been integrated with satellite-based vegeta- tion and in situ crop yield data sets. The SPOT-VGT NDVI-based time series data for rainfed crop seasons 2002-2013 were used to assess the long-term vegetation condition correspondence to meteorological drought indices. The satellite-based drought indices and meteorological data showed positive results for assessing the spatiotemporal pattern of drought over the study area. © 2020 John Wiley & Sons, Inc.
dc.identifier.doihttps://doi.org/10.1002/9781119359203.ch13
dc.identifier.isbn978-111935920-3; 978-111935918-0
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/68380
dc.publisherwiley
dc.titleGeoinformation Technology for Drought Assessment
dc.typeBook chapter
dspace.entity.typePublication
journal.titleTechniques for Disaster Risk Management and Mitigation

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