{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:53:43Z","timestamp":1760144023344,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["OISE #2153579"],"award-info":[{"award-number":["OISE #2153579"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study aims to understand the spatiotemporal changes in patterns of tropical crop cultivation in Eastern Thailand, encompassing the periods before, during, and after the COVID-19 pandemic. Our approach involved assessing the efficacy of high-resolution (10 m) Sentinel-2 dense image time series for mapping smallholder farmlands. We integrated harmonic regression and random forest to map a diverse array of tropical crop types between summer 2017 and summer 2023, including durian, rice, rubber, eucalyptus, oil palm, pineapple, sugarcane, cassava, mangosteen, coconut, and other crops. The results revealed an overall mapping accuracy of 85.6%, with several crop types exceeding 90%. High-resolution imagery demonstrated particular effectiveness in situations involving intercropping, a popular practice of simultaneously growing two or more plant species in the same patch of land. However, we observed overestimation in the majority of the studied cash crops, primarily those located in young plantations with open tree canopies and grass-covered ground surfaces. The adverse effects of the COVID-19 pandemic were observed in specific labor-intensive crops, including rubber and durian, but were limited to the short term. No discernible impact was noted across the entirety of the study timeframe. In comparison, financial gain and climate change appeared to be more pivotal in influencing farmers\u2019 decisions regarding crop cultivation. Traditionally dominant crops such as rice and oil palm have witnessed a discernible decline in cultivation, reflecting a decade-long trend of price drops preceding the pandemic. Conversely, Thai durian has seen a significant upswing even over the pandemic, which ironically served as a catalyst prompting Thai farmers to adopt e-commerce to meet the surging demand, particularly from China.<\/jats:p>","DOI":"10.3390\/rs16061035","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T04:47:05Z","timestamp":1710478025000},"page":"1035","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Fine-Scale (10 m) Dynamics of Smallholder Farming through COVID-19 in Eastern Thailand"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7469-3650","authenticated-orcid":false,"given":"Gang","family":"Chen","sequence":"first","affiliation":[{"name":"Laboratory for Remote Sensing and Environmental Change (LRSEC), Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"},{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"given":"Colleen","family":"Hammelman","sequence":"additional","affiliation":[{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"},{"name":"Charlotte Action Research Project, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2302-1782","authenticated-orcid":false,"given":"Sutee","family":"Anantsuksomsri","sequence":"additional","affiliation":[{"name":"Regional, Urban, & Built Environmental Analytics, Faculty of Architecture, Chulalongkorn University, Bangkok 10330, Thailand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7706-194X","authenticated-orcid":false,"given":"Nij","family":"Tontisirin","sequence":"additional","affiliation":[{"name":"Faculty of Architecture and Planning, Thammasat University, Pathumthani 12121, Thailand"}]},{"given":"Amelia R.","family":"Todd","sequence":"additional","affiliation":[{"name":"David R. Ravin School of Architecture, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"given":"William W.","family":"Hicks","sequence":"additional","affiliation":[{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"given":"Harris M.","family":"Robinson","sequence":"additional","affiliation":[{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"given":"Miles G.","family":"Calloway","sequence":"additional","affiliation":[{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"},{"name":"Department of Sociology, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]},{"given":"Grace M.","family":"Bell","sequence":"additional","affiliation":[{"name":"Environment, Ecology and Energy Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA"}]},{"suffix":"III","given":"John E.","family":"Kinsey","sequence":"additional","affiliation":[{"name":"Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"ref_1","unstructured":"WHO (2023, October 01). 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