{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T22:06:55Z","timestamp":1773526015592,"version":"3.50.1"},"reference-count":89,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005071","name":"Shiraz University, and the Faculty of Agriculture","doi-asserted-by":"publisher","award":["99GCB1M148056"],"award-info":[{"award-number":["99GCB1M148056"]}],"id":[{"id":"10.13039\/501100005071","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Soil aggregate stability (SAS) is needed to evaluate the soil\u2019s resistance to degradation and erosion, especially in semi-arid regions. Traditional laboratory methods for assessing SAS are labor-intensive and costly, limiting timely and cost-effective monitoring. Thus, we developed cost-efficient wall-to-wall spatial prediction maps for two fundamental SAS proxies [mean weight diameter (MWD) and geometric mean diameter (GMD)], across a 5000-hectare area in Southwest Iran. Machine learning algorithms coupled with environmental and soil covariates were used. Our results showed that topographic covariates were the most influential covariates in predicting these SAS proxies. Overall, our SAS maps are valuable tools for sustainable soil and natural resource management, enabling decision-making for addressing potential soil degradation and promoting sustainable land use in semi-arid regions.<\/jats:p>","DOI":"10.3390\/rs16224304","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T06:06:54Z","timestamp":1731996414000},"page":"4304","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Machine Learning Enhances Soil Aggregate Stability Mapping for Effective Land Management in a Semi-Arid Region"],"prefix":"10.3390","volume":"16","author":[{"given":"Pegah","family":"Khosravani","sequence":"first","affiliation":[{"name":"Department of Soil Science, Faculty of Agriculture, Shiraz University, Shiraz 7194684471, Iran"},{"name":"Department of Geosciences, Soil Science and Geomorphology, University of T\u00fcbingen, 72076 T\u00fcbingen, Germany"}]},{"given":"Ali Akbar","family":"Moosavi","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Faculty of Agriculture, Shiraz University, Shiraz 7194684471, Iran"}]},{"given":"Majid","family":"Baghernejad","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Faculty of Agriculture, Shiraz University, Shiraz 7194684471, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9246-1987","authenticated-orcid":false,"given":"Ndiye M.","family":"Kebonye","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Soil Science and Geomorphology, University of T\u00fcbingen, 72076 T\u00fcbingen, Germany"},{"name":"Cluster of Excellence Machine Learning: New Perspectives for Science, University of T\u00fcbingen, 72076 T\u00fcbingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7420-3746","authenticated-orcid":false,"given":"Seyed Roohollah","family":"Mousavi","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Faculty of Agriculture, University of Tehran, Karaj 77871-31587, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4875-2602","authenticated-orcid":false,"given":"Thomas","family":"Scholten","sequence":"additional","affiliation":[{"name":"Department of Geosciences, Soil Science and Geomorphology, University of T\u00fcbingen, 72076 T\u00fcbingen, Germany"},{"name":"Cluster of Excellence Machine Learning: New Perspectives for Science, University of T\u00fcbingen, 72076 T\u00fcbingen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/S0341-8162(01)00180-1","article-title":"Aggregate Stability as an Indicator of Soil Susceptibility to Runoff and Erosion; Validation at Several Levels","volume":"47","author":"Roose","year":"2002","journal-title":"CATENA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1016\/j.jaridenv.2011.03.004","article-title":"A Review of Runoff Generation and Soil Erosion across Scales in Semiarid South-Eastern Spain","volume":"75","author":"Asensio","year":"2011","journal-title":"J. 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