A comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) using machine learning
Agriculture drought is a decrease in soil moisture during a growing season. In this study, a comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) was developed to monitor the agriculture drought in semi-arid environments and assess its effectiveness in rainfed agricultu...
Main Authors: | Khaled F. Alkaraki, Khaled Hazaymeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-04-01
|
Series: | Environmental Challenges |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667010023000227 |
Similar Items
-
Regional analysis of the 2015–16 Lower Mekong River basin drought using NASA satellite observations
by: Venkataraman Lakshmi, et al.
Published: (2023-04-01) -
Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results
by: Qingqing Chen, et al.
Published: (2020-06-01) -
Characterizing the 2022 Extreme Drought Event over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations and In Situ Data
by: Sulan Liu, et al.
Published: (2023-10-01) -
Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System
by: Bruno César Comini de Andrade, et al.
Published: (2021-06-01) -
The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine
by: Farzane Mohseni, et al.
Published: (2024-01-01)