{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:12:42Z","timestamp":1774379562079,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2022,8,19]],"date-time":"2022-08-19T00:00:00Z","timestamp":1660867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","award":["2020M682477"],"award-info":[{"award-number":["2020M682477"]}],"id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","award":["2042021kf0053"],"award-info":[{"award-number":["2042021kf0053"]}],"id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020M682477"],"award-info":[{"award-number":["2020M682477"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2042021kf0053"],"award-info":[{"award-number":["2042021kf0053"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Plastic mulch is extensively applied in agricultural production in arid regions. It significantly influences the interactions between land and atmosphere by altering underlying surface characteristics. An accurate and timely extraction method for Plastic-Mulched Cropland (PMC) is required to understand land surface energy transfer processes, eco-hydrological cycle, the climate effect of PMC, and in the management of water resources. In this study, we proposed a Timely Plastic-mulched cropland Extraction Method (TPEM) from complex mixed surfaces with multi-source remote sensing data in the Shiyanghe River Basin (SRB), a typical representation of a complex and inhomogeneous arid region in the northwest of China. We defined TPEM in three phases; in the first phase, the spectral characteristic curves were drawn from ground object points labeled by visual interpretation with multi-source remote sensing data. In the second phase, a spectral characteristic analysis of the modified index was proposed to amplify the difference between PMC and non-PMC ground objects. Finally, the Classification and Regression Tree (CART) classifier was used to generate thresholds of indices as PMC extraction rules. The results showed that it can extract the boundary of PMC in large-scale farmland, distinguish PMC from ground objects in complex mixed surfaces, and separate the PMC from desert land that shares same spectral characteristics with PMC. The TPEM is verified to be efficient and robust, with an overall accuracy of 0.9234, quantity disagreement of 0.0541, and allocation disagreement of 0.0224, and outperformed two extensively used PMC extraction methods, especially for timely PMC extraction when satellite data only during the period that ground surface incomplete covered by plastic mulch is available. This study will provide us with an accurate and timely method to extract PMC, especially in the widely distributed complex mixed surfaces.<\/jats:p>","DOI":"10.3390\/rs14164051","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T01:56:40Z","timestamp":1661133400000},"page":"4051","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Timely Plastic-Mulched Cropland Extraction Method from Complex Mixed Surfaces in Arid Regions"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2104-8380","authenticated-orcid":false,"given":"Chenhao","family":"Fu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"given":"Lei","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2998-6486","authenticated-orcid":false,"given":"Shujing","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1196-1248","authenticated-orcid":false,"given":"Aqil","family":"Tariq","sequence":"additional","affiliation":[{"name":"Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, 775 Stone Boulevard, Starkville, MS 39762, USA"},{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China"}]},{"given":"Pan","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"given":"Kaijie","family":"Zou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]},{"given":"Liwei","family":"Chang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.eja.2009.08.004","article-title":"Effects of plastic film mulch and tillage on maize productivity and soil parameters","volume":"31","author":"Liu","year":"2009","journal-title":"Eur. J. Agron."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1016\/j.agwat.2008.04.014","article-title":"Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China","volume":"95","author":"Li","year":"2008","journal-title":"Agric. Water Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.agwat.2013.03.015","article-title":"The effects of mulching on maize growth, yield and water use in a semi-arid region","volume":"123","author":"Bu","year":"2013","journal-title":"Agric. Water Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.jhydrol.2012.05.041","article-title":"Modelling the effects of plastic mulch on water, heat and CO2 fluxes over cropland in an arid region","volume":"452\u2013453","author":"Yang","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s13593-011-0068-3","article-title":"Polyethylene and biodegradable mulches for agricultural applications: A review","volume":"32","author":"Kasirajan","year":"2012","journal-title":"Agron. Sustain. Dev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"91001","DOI":"10.1088\/1748-9326\/9\/9\/091001","article-title":"\u2018White revolution\u2019 to \u2018white pollution\u2019-agricultural plastic film mulch in China","volume":"9","author":"Liu","year":"2014","journal-title":"Environ. Res. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/j.scitotenv.2018.09.105","article-title":"Effects of plastic mulching and plastic residue on agricultural production: A meta-analysis","volume":"651","author":"Gao","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4548","DOI":"10.1109\/JSTARS.2014.2327226","article-title":"A Decision-Tree Classifier for Extracting Transparent Plastic-Mulched Landcover from Landsat-5 TM Images","volume":"7","author":"Lu","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Tariq, A., Yan, J., Gagnon, A.S., Riaz Khan, M., and Mumtaz, F. (2022). Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest. Geo-Spat. Inf. Sci.","DOI":"10.1080\/10095020.2022.2100287"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Lu, L., Tao, Y., and Di, L. (2018). Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data. Remote Sens., 10.","DOI":"10.3390\/rs10111820"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"and Chen, Z. (2017). Mapping Plastic-Mulched Farmland with Multi-Temporal Landsat-8 Data. Remote Sens., 9.","DOI":"10.3390\/rs9060557"},{"key":"ref_12","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, C.J. (1984). Classification and Regression Trees, Routledge."},{"key":"ref_13","first-page":"21","article-title":"Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models","volume":"38","author":"Wahla","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.patrec.2005.08.011","article-title":"Random Forests for land cover classification","volume":"27","author":"Gislason","year":"2006","journal-title":"Pattern Recogn. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Hao, P., Chen, Z., Tang, H., Li, D., and Li, H. (2019). New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data. Remote Sens., 11.","DOI":"10.3390\/rs11111353"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Xiong, Y., Zhang, Q., Chen, X., Bao, A., Zhang, J., and Wang, Y. (2019). Large Scale Agricultural Plastic Mulch Detecting and Moni-toring with Multi-Source Remote Sensing Data: A Case Study in Xinjiang, China. Remote Sens., 11.","DOI":"10.3390\/rs11182088"},{"key":"ref_18","first-page":"100779","article-title":"Spatio-temporal variation of seasonal heat islands mapping of Pakistan during 2000\u20132019, using day-time and night-time land surface temperatures MODIS and meteorological stations data","volume":"27","author":"Tariq","year":"2022","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.1007\/s12665-011-1046-4","article-title":"Roles of climate changes and human interventions in land degradation: A case study by net primary productivity analysis in China\u2019s Shiyanghe Basin","volume":"64","author":"Zhang","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.agwat.2016.06.022","article-title":"Can the drip irrigation under film mulch reduce crop evapotranspiration and save water under the sufficient irrigation condition?","volume":"177","author":"Qin","year":"2016","journal-title":"Agric. Water Manag."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.still.2003.12.009","article-title":"Productivity and soil response to plastic film mulching durations for spring wheat on entisols in the semiarid Loess Plateau of China","volume":"78","author":"Li","year":"2004","journal-title":"Soil Till. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.agwat.2016.11.018","article-title":"Influence of different plastic film mulches and wetted soil percentages on potato grown under drip irrigation","volume":"180","author":"Zhang","year":"2017","journal-title":"Agric. Water Manag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Yang, Q., Liu, M., Zhang, Z., Yang, S., Ning, J., and Han, W. (2019). Mapping Plastic Mulched Farmland for High Resolution Images of Unmanned Aerial Vehicle Using Deep Semantic Segmentation. Remote Sens., 11.","DOI":"10.3390\/rs11172008"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.isprsjprs.2017.03.002","article-title":"Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index","volume":"128","author":"Yang","year":"2017","journal-title":"ISPRS J. Photogramm."},{"key":"ref_25","first-page":"1","article-title":"Research on amount and low of water requirement in Shiyang River Basin","volume":"29","author":"Hu","year":"2011","journal-title":"Agric. Res. Arid Areas"},{"key":"ref_26","unstructured":"Third National Agricultural Census Leading Group Office (2020). Compilation of the Third National Agricultural Census in Gansu Province."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1080\/01431161.2012.748992","article-title":"Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data","volume":"34","author":"Gong","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.scib.2019.03.002","article-title":"Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017","volume":"64","author":"Gong","year":"2019","journal-title":"Sci. Bull."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.5194\/essd-12-1217-2020","article-title":"Annual dynamics of global land cover and its long-term changes from 1982 to 2015","volume":"12","author":"Liu","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_30","unstructured":"Google (2022, August 12). Sentinel-2 MSI: MultiSpectral Instrument, Level-2A. Available online: https:\/\/developers.google.cn\/earth-engine\/datasets\/catalog\/COPERNICUS_S2_SR."},{"key":"ref_31","unstructured":"Google (2022, August 12). USGS Landsat 8 Level 2, Collection 2, Tier 1. Available online: https:\/\/developers.google.cn\/earth-engine\/datasets\/catalog\/LANDSAT_LC08_C02_T1_L2."},{"key":"ref_32","unstructured":"Google (2022, August 12). USGS Landsat 7 Level 2, Collection 2, Tier 1. Available online: https:\/\/developers.google.cn\/earth-engine\/datasets\/catalog\/LANDSAT_LE07_C02_T1_L2."},{"key":"ref_33","unstructured":"Google (2022, August 12). MOD09A1.006 Terra Surface Reflectance 8-Day Global 500 m. Available online: https:\/\/developers.google.cn\/earth-engine\/datasets\/catalog\/MODIS_006_MOD09A1."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Aguilar, M.\u00c1., Jim\u00e9nez-Lao, R., Nemmaoui, A., Aguilar, F.J., Koc-San, D., Tarantino, E., and Chourak, M. (2020). Evaluation of the Consistency of Simultaneously Acquired Sentinel-2 and Landsat 8 Imagery on Plastic Covered Greenhouses. Remote Sens., 12.","DOI":"10.3390\/rs12122015"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1109\/TGRS.2012.2235447","article-title":"Experimental Evaluation of Sentinel-2 Spectral Response Functions for NDVI Time-Series Continuity","volume":"51","author":"Gonsamo","year":"2013","journal-title":"IEEE Trans. Geosci. Remote"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Mandanici, E., and Bitelli, G. (2016). Preliminary Comparison of Sentinel-2 and Landsat 8 Imagery for a Combined Use. Remote Sens, 8.","DOI":"10.3390\/rs8121014"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2015.12.024","article-title":"Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity","volume":"185","author":"Roy","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"4407","DOI":"10.1080\/01431161.2011.552923","article-title":"Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment","volume":"32","author":"Pontius","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/0034-4257(91)90048-B","article-title":"A review of assessing the accuracy of classifications of remotely sensed data","volume":"37","author":"Congalton","year":"1991","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3178","DOI":"10.1890\/0012-9658(2000)081[3178:CARTAP]2.0.CO;2","article-title":"Classification and regression trees: A powerful yet simple technique for ecological data analysis","volume":"81","author":"Fabricius","year":"2000","journal-title":"Ecology"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/16\/4051\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:12:20Z","timestamp":1760141540000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/16\/4051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,19]]},"references-count":41,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["rs14164051"],"URL":"https:\/\/doi.org\/10.3390\/rs14164051","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,19]]}}}