The use of remote sensing for desertification studies: A review-Reference-Cited by-同舟云学术

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The use of remote sensing for desertification studies: A review

Published:2022-11 Issue: Volume:206 Page:104829
ISSN:0140-1963
Container-title:Journal of Arid Environments
language:en
Short-container-title:Journal of Arid Environments

Author:

Rivera-Marin Daniela^ORCID,Dash Jadunandan,Ogutu Booker

Funder

Agencia Nacional de Investigación y Desarrollo

Agenția Națională pentru Cercetare și Dezvoltare

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Ecology,Ecology, Evolution, Behavior and Systematics

Reference50 articles.

1. Modelling desertification risk in the north-west of Jordan using geospatial and remote sensing techniques;Al-Bakri;Geomatics, Nat. Hazards Risk,2016

2. Multi-temporal assessment of land sensitivity to desertification in a fragile agro-ecosystem: environmental indicators;Bakr;Ecol. Indicat.,2012

3. Potentialities and problems of satellite remote sensing with special reference to arid and semiarid regions;Barrett;Climatic Change,1986

4. Integration of remote sensing techniques for monitoring desertification in Mexico;Becerril-Piña;Hum. Ecol. Risk Assess.,2016

5. Analysis of areas undergoing desertification, using EVI2 multi-temporal data based on MODIS imagery as indicator;Bezerra;Ecol. Indicat.,2020

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1. Identification and factor analysis of rocky desertification severity levels in large-scale karst areas based on deep learning image segmentation;Ecological Indicators;2024-10

2. Thirty years’ spatio-temporal evolution of desertification degrees and driving factors in Turpan–Hami Basin, Xinjiang, China;Ecological Indicators;2024-09

3. Desertification in northern China from 2000 to 2020: The spatial–temporal processes and driving mechanisms;Ecological Informatics;2024-09

4. Spatiotemporal evolution and driving mechanisms of desertification on the Mongolian Plateau;Science of The Total Environment;2024-09

5. Rural Land Degradation Assessment through Remote Sensing: Current Technologies, Models, and Applications;Remote Sensing;2024-08-20

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