A machine learning-derived Climate Suitability Score combined with vegetation indices identifies thirteen priority self-sustaining regreening sites in Saudi Arabia with a projected average 2.5-fold vegetation increase.
Determination of land restoration potentials in the semi-arid areas of Chad using systematic monitoring and mapping techniques.Agroforestry Systems, 97:1289–1305, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Climate-based Pre-screening of Self-sustaining Regreening Opportunities in Drylands: A Case Study for Saudi Arabia
A machine learning-derived Climate Suitability Score combined with vegetation indices identifies thirteen priority self-sustaining regreening sites in Saudi Arabia with a projected average 2.5-fold vegetation increase.