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China","doi-asserted-by":"publisher","award":["GJ2024-18-4"],"award-info":[{"award-number":["GJ2024-18-4"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFD2300300"],"award-info":[{"award-number":["2023YFD2300300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Scientific evaluation of cultivated land quality (CLQ) is necessary for promoting rational utilization of cultivated land and achieving one of the Sustainable Development Goals (SDGs): Zero Hunger. However, the CLQ evaluation system proposed in previous studies was diversified, and the methods were inefficient. In this study, based on China\u2019s first national standard \u201cCultivated Land Quality Grade\u201d (GB\/T 33469-2016), we constructed a unified county-level CLQ evaluation system by selecting 15 indicators from five aspects\u2014site condition, environmental condition, physicochemical property, nutrient status and field management\u2014and used the Delphi method to calculate the membership degree of the indicators. Taking Jimo district of Shandong Province, China, as a case study, we compared the performance of three machine learning models, including random forest, AdaBoost, and support vector regression, to evaluate CLQ using multi-temporal remote sensing data. The comprehensive index method was used to reveal the spatial distribution of CLQ. The results showed that the CLQ evaluation based on multi-temporal remote sensing data and machine learning model was efficient and reliable, and the evaluation results had a significant positive correlation with crop yield (r was 0.44, p &lt; 0.001). The proportions of cultivated land of high-, medium- and poor-quality were 27.43%, 59.37% and 13.20%, respectively. The CLQ in the western part of the study area was better, while it was worse in the eastern and central parts. The main limiting factors include irrigation capacity and texture configuration. Accordingly, a series of targeted measures and policies were suggested, such as strengthening the construction of farmland water conservancy facilities, deep tillage of soil and continuing to construct well-facilitated farmland. This study proposed a fast and reliable method for evaluating CLQ, and the results are helpful to promote the protection of cultivated land and ensure food security.<\/jats:p>","DOI":"10.3390\/rs16183427","type":"journal-article","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T10:56:57Z","timestamp":1726484217000},"page":"3427","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["County-Level Cultivated Land Quality Evaluation Using Multi-Temporal Remote Sensing and Machine Learning Models: From the Perspective of National Standard"],"prefix":"10.3390","volume":"16","author":[{"given":"Dingding","family":"Duan","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"},{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinru","family":"Li","sequence":"additional","affiliation":[{"name":"Administration and Management Institute, Ministry of Agriculture and Rural Affairs, Beijing 102208, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanghua","family":"Liu","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5440-4081","authenticated-orcid":false,"given":"Qingyan","family":"Meng","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengming","family":"Li","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guotian","family":"Lin","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linlin","family":"Guo","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Guo","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Tang","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Su","sequence":"additional","affiliation":[{"name":"Piesat Information Technology Co., Ltd., Beijing 100195, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weifeng","family":"Ma","sequence":"additional","affiliation":[{"name":"China Siwei Surveying and Mapping Technology Co., Ltd., Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shikang","family":"Ming","sequence":"additional","affiliation":[{"name":"China Siwei Surveying and Mapping Technology Co., Ltd., Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yadong","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1038\/nature10452","article-title":"Solutions for a cultivated planet","volume":"478","author":"Foley","year":"2011","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"145765","DOI":"10.1016\/j.scitotenv.2021.145765","article-title":"Spatial characteristics of cultivated land quality accounting for ecological environmental condition: A case study in hilly area of northern Hubei province, China","volume":"774","author":"Zhao","year":"2021","journal-title":"Sci. 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