{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:19:31Z","timestamp":1768792771305,"version":"3.49.0"},"reference-count":40,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071420"],"award-info":[{"award-number":["42071420"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2022YFD2000100"],"award-info":[{"award-number":["2022YFD2000100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2021Z048"],"award-info":[{"award-number":["2021Z048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["CXJJ2022151"],"award-info":[{"award-number":["CXJJ2022151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["42071420"],"award-info":[{"award-number":["42071420"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2022YFD2000100"],"award-info":[{"award-number":["2022YFD2000100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021Z048"],"award-info":[{"award-number":["2021Z048"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["CXJJ2022151"],"award-info":[{"award-number":["CXJJ2022151"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Special Project for 2025 Scientific and Technological Innovation (Major Scientific and Technological Task Project in Ningbo City)","award":["42071420"],"award-info":[{"award-number":["42071420"]}]},{"name":"Major Special Project for 2025 Scientific and Technological Innovation (Major Scientific and Technological Task Project in Ningbo City)","award":["2022YFD2000100"],"award-info":[{"award-number":["2022YFD2000100"]}]},{"name":"Major Special Project for 2025 Scientific and Technological Innovation (Major Scientific and Technological Task Project in Ningbo City)","award":["2021Z048"],"award-info":[{"award-number":["2021Z048"]}]},{"name":"Major Special Project for 2025 Scientific and Technological Innovation (Major Scientific and Technological Task Project in Ningbo City)","award":["CXJJ2022151"],"award-info":[{"award-number":["CXJJ2022151"]}]},{"name":"Graduate Scientific Research Foundation of Hangzhou Dianzi University","award":["42071420"],"award-info":[{"award-number":["42071420"]}]},{"name":"Graduate Scientific Research Foundation of Hangzhou Dianzi University","award":["2022YFD2000100"],"award-info":[{"award-number":["2022YFD2000100"]}]},{"name":"Graduate Scientific Research Foundation of Hangzhou Dianzi University","award":["2021Z048"],"award-info":[{"award-number":["2021Z048"]}]},{"name":"Graduate Scientific Research Foundation of Hangzhou Dianzi University","award":["CXJJ2022151"],"award-info":[{"award-number":["CXJJ2022151"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Extensive occurrence of rice sheath blight has been observed in China in recent years due to agricultural practices and climatic conditions, posing a serious threat to rice production. Assessing habitat suitability for rice sheath blight at a regional scale can provide important information for disease forecasting. In this context, the present study aims to propose a regional-scale habitat suitability evaluation method for rice sheath blight in Yangzhou city using multisource data, including remote sensing data, meteorological data, and disease survey data. By combining the epidemiological characteristics of the crop disease and the Relief-F algorithm, some habitat variables from key stages were selected. The maximum entropy (Maxent) and logistic regression models were adopted and compared in constructing the disease habitat suitability assessment model. The results from the Relief-F algorithm showed that some remote sensing variables in specific temporal phases are particularly crucial for evaluating disease habitat suitability, including the MODIS products of LAI (4\u201320 August), FPAR (9\u201325 June), NDVI (12\u201320 August), and LST (11\u201327 July). Based on these remote sensing variables and meteorological features, the Maxent model yielded better accuracy than the logistic regression model, with an area under the curve (AUC) value of 0.90, overall accuracy (OA) of 0.75, and a true skill statistics (TSS) value of 0.76. Indeed, the results of the habitat suitability assessment models were consistent with the actual distribution of the disease in the study area, suggesting promising predictive capability. Therefore, it is feasible to utilize remotely sensed and meteorological variables for assessing disease habitat suitability at a regional scale. The proposed method is expected to facilitate prevention and control practices for rice sheath blight disease.<\/jats:p>","DOI":"10.3390\/rs15235530","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T07:40:01Z","timestamp":1701157201000},"page":"5530","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Assessing Rice Sheath Blight Disease Habitat Suitability at a Regional Scale through Multisource Data Analysis"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6339-7661","authenticated-orcid":false,"given":"Jingcheng","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huizi","family":"Li","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangyang","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanxiao","family":"Qiu","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehe","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5577-8632","authenticated-orcid":false,"given":"Huiqin","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5556-0994","authenticated-orcid":false,"given":"Lin","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.agrformet.2015.01.011","article-title":"Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE","volume":"203","author":"Kim","year":"2015","journal-title":"Agric. 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