Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia
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DOI: 10.1016/j.agsy.2019.03.015
Abstract: Abstract Agricultural drought is a natural hazard arising from insufficient crop water supply. Many drought indices have been developed to characterize agricultural drought, relying on either ground-based climate data or various remotely-sensed drought proxies. Ground-based… read more here.
Keywords: agricultural drought; south eastern; remotely sensed; sensed drought ... See more keywords