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Data · dataset · 2023

High-Resolution Drought Data for India - Villages with no Irrigation

Listed in DANS Data Station Physical and Technical Sciences

This geo-database consists of a 0.05 degree (5 x 5 km) SPEI (Standardised Precipitation-Evapotranspiration Index) that was calculated using CHIRPS precipitation data and resampled GLEAM data.

Description

We use the Priestley-Taylor equation to estimate potential evapotranspiration (PET), taking additional variables into account relevant for the Indian context. We merge the SPEI database with all Indian villages that show very little irrigation coverage over agricultural lands, and villages where we see a strong outflow out of agrarian work among males.

The Indian censuses of 2001 and 2011 are used to include this information. The data is provided as a Shapefile, and can be opened with open-source geospatial software such as QGIS. The dataset also includes the original tabular data in Comma Separated Values (.csv) format.

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Date Submitted: 2023-07-07

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Tabular 75%
Provenance · 1 source records, 13 field assertions
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DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-ZWZ-MB9312 d agoJSON v1
FieldAssertionExtractorEvidence
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