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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Wenzhao Li, Hesham El-Askary, Rejoice Thomas, Surya Prakash Tiwari, Karuppasamy P. Manikandan, Thomas Piechota, Daniele Struppa
Fformat:	Erthygl
Iaith:	English
Cyhoeddwyd:	MDPI AG 2020-12-01
Cyfres:	Remote Sensing
Pynciau:	drylands climate classification GLDAS FLDAS machine learning Google Earth Engine
Mynediad Ar-lein:	https://www.mdpi.com/2072-4292/12/23/3973

Eitemau Tebyg

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Could biological invasion by Cryptostegia madagascariensis alter the composition of the arbuscular mycorrhizal fungal community in semi-arid Brazil?
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Assessing Height Variations in Qinghai-Tibet Plateau from Time-Varying Gravity Data and Hydrological Model
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Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region
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