{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:32:14Z","timestamp":1771036334812,"version":"3.50.1"},"reference-count":72,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T00:00:00Z","timestamp":1541462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010198","name":"Ministerio de Econom\u00eda, Industria y Competitividad, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["AGL2014-56017-R"],"award-info":[{"award-number":["AGL2014-56017-R"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary pre-classification between greenhouses and non-greenhouses, and (iv) classification of horticultural crops under greenhouses regarding two agronomic seasons (autumn and spring). The segmentation stage was carried out by applying a multi-resolution segmentation algorithm on the pre-processed WorldView-2 data. The free access AssesSeg command line tool was used to determine the more suitable multi-resolution algorithm parameters. Two decision tree models mainly based on the Plastic Greenhouse Index were developed to perform greenhouse\/non-greenhouse binary classification from Landsat 8 and Sentinel-2A time series, attaining overall accuracies of 92.65% and 93.97%, respectively. With regards to the classification of crops under PCG, pepper in autumn, and melon and watermelon in spring provided the best results (F\u03b2 around 84% and 95%, respectively). Data from the Sentinel-2A time series showed slightly better accuracies than those from Landsat 8.<\/jats:p>","DOI":"10.3390\/rs10111751","type":"journal-article","created":{"date-parts":[[2018,11,7]],"date-time":"2018-11-07T03:45:22Z","timestamp":1541562322000},"page":"1751","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almer\u00eda (Spain)"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1525-9512","authenticated-orcid":false,"given":"Abderrahim","family":"Nemmaoui","sequence":"first","affiliation":[{"name":"Department of Engineering, University of Almer\u00eda, Ctra. de Sacramento s\/n, La Ca\u00f1ada de San Urbano, 04120 Almer\u00eda, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-9875","authenticated-orcid":false,"given":"Manuel A.","family":"Aguilar","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Almer\u00eda, Ctra. de Sacramento s\/n, La Ca\u00f1ada de San Urbano, 04120 Almer\u00eda, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5144-6411","authenticated-orcid":false,"given":"Fernando J.","family":"Aguilar","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Almer\u00eda, Ctra. de Sacramento s\/n, La Ca\u00f1ada de San Urbano, 04120 Almer\u00eda, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-9220","authenticated-orcid":false,"given":"Antonio","family":"Novelli","sequence":"additional","affiliation":[{"name":"Eurac Research, Institute for Renewable Energy, Via A. Volta 13\/A, 39100 Bolzano, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9s","family":"Garc\u00eda Lorca","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Almer\u00eda, Ctra. de Sacramento s\/n, La Ca\u00f1ada de San Urbano, 04120 Almer\u00eda, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,6]]},"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":"85","DOI":"10.1177\/8756087906064220","article-title":"Plastic films for agricultural applications","volume":"22","author":"Espi","year":"2006","journal-title":"J. Plast. 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