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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Wenzhao Li, Hesham El-Askary, Rejoice Thomas, Surya Prakash Tiwari, Karuppasamy P. Manikandan, Thomas Piechota, Daniele Struppa
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2020-12-01
Schriftenreihe:Remote Sensing
Schlagworte:
drylands
climate classification
GLDAS
FLDAS
machine learning
Google Earth Engine
Online Zugang:https://www.mdpi.com/2072-4292/12/23/3973

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