Monitoring Land Degradation
Soil degradation threatens agricultural productivity and ecosystem health worldwide. Understanding how landscapes change over time is essential for protecting soil resources and ensuring long-term sustainability.
DALab develops innovative approaches for monitoring land degradation processes, including soil salinity, erosion, and changes in soil condition. By integrating Earth observation technologies, environmental datasets, and artificial intelligence, we generate high-resolution information that supports land restoration and sustainable management practices.
Our work helps producers, governments, and conservation organizations better understand the impacts of environmental change and identify strategies that improve resilience and maintain ecosystem services for future generations.
Fig. 7. Categorical statistics of soil erosion monitoring studies using InSAR technology for natural and anthropogenic land degradations. Note: Numbers represent the quantity of studies using InSAR monitoring, juxtaposed with circles denoting the form of natural and anthropogenic land degradation.
https://ars.els-cdn.com/content/image/1-s2.0-S0341816225008495-gr7.jpg
Team Members/ Collaborators
Publications
An integrated land-sea framework for assessing coastal wetland ecological quality and the impact of Spartina alterniflora expansion: A case study from the eastern coast of China Jingyi Wang, Haidong Wang, Zhenghao Li, Nasem Badreldin, Yuxuan Hu, Qilin Zhang, Min Sun, Xiong Yin, Mingshi Li, Ecological Indicators, Volume 182, 2026, 114611, https://doi.org/10.1016/j.ecolind.2026.114611
Innovative methods for monitoring soil erosion: Utilizing InSAR technology effectively Jiahui Yang, Nasem Badreldin, Yanchen Gao, Changchao Yan, Yizhan Zhao, Miles Dyck, Hailong He, CATENA, Volume 261, 2025, 109547, https://doi.org/10.1016/j.catena.2025.109547
Assessing the SM2RAIN-ASCAT dataset in Morocco: Accuracy evaluation and drought monitoring application Said El Goumi, Mustapha Namous, Abdenbi Elaloui, Samira Krimissa, Nasem Badreldin, Sakine Koohi, Nafia El Alaouy, El Houssaine Bouras, Atmospheric Research, Volume 332, 2026, 108729, https://doi.org/10.1016/j.atmosres.2025.108729
Estimating erosion, sediment yield, and dam lifetime using revised universal soil loss equation and erosion potential model in the Chichaoua watershed and Boulaouane Dam, High Atlas, Morocco Baiddah, A., Krimissa, S., Namous, M., Eeloudi, H., Ismaili, M., Hajji, S., Aboutaib, F. & Badreldin, N. (2025). Ecological Engineering & Environmental Technology, 26(3), 132–158. https://doi.org/10.12912/27197050/199824
Soil and water conservation effects of different types of vegetation cover on runoff and erosion driven by climate and underlying surface conditions Hu, Y., Zhang, F., Luo, Z., Badreldin, N., Benoy, G., & Xing, Z. (2023). CATENA. https://doi.org/10.1016/j.catena.2023.107347
The Costs of Soil Erosion to Crop Production in Canada between 1971 and 2015 Badreldin, N.; Lobb, D.A. (2023). Sustainability, 15, 4489. https://doi.org/10.3390/su15054489
Head-cut gully erosion susceptibility mapping in semi-arid region using machine learning methods: insight from the high Atlas, Morocco Baiddah A, Krimissa S, Hajji S, Ismaili M, Abdelrahman K, El Bouzekraoui M, Eloudi H, Elaloui A, Khouz A, Badreldin N. and Namous M. (2023). Frontiers in Earth Science, 11:1184038. https://doi.org/10.3389/feart.2023.1184038