<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>P. Thenkabail</dc:contributor>
  <dc:contributor>R. R. Sharma</dc:contributor>
  <dc:creator>C. Sharma</dc:creator>
  <dc:date>2011</dc:date>
  <dc:description>The paper develops approaches and methods of modeling and mapping land and water productivity of rain-fed crops in semi-arid environments of India using hyperspectral, hyperspatial, and advanced multispectral remote sensing data and linking the same to field-plot data and climate station data. The overarching goal is to provide information to advance water harvesting technologies in the agricultural croplands of the semi-arid environments of India by conducting research in a representative pilot site in Jodhpur, Rajasthan, India. ?? 2011 IEEE.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1109/GHTC.2011.68</dc:identifier>
  <dc:language>en</dc:language>
  <dc:title>Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India</dc:title>
  <dc:type>text</dc:type>
</oai_dc:dc>