An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

Drylands cover about 40% of the world’s land area and support two billion people, most of them living in developing countries that are at risk due to land degradation. Over the last few decades, there has been warming, with an escalation of drought and rapid population growth. This will further inte...

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Bibliografische gegevens
Hoofdauteurs:	Wenzhao Li, Hesham El-Askary, Rejoice Thomas, Surya Prakash Tiwari, Karuppasamy P. Manikandan, Thomas Piechota, Daniele Struppa
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	MDPI AG 2020-12-01
Reeks:	Remote Sensing
Onderwerpen:	drylands climate classification GLDAS FLDAS machine learning Google Earth Engine
Online toegang:	https://www.mdpi.com/2072-4292/12/23/3973

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