{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:14:09Z","timestamp":1773098049863,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,2,11]],"date-time":"2019-02-11T00:00:00Z","timestamp":1549843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002910","name":"F\u00e9d\u00e9ration Wallonie-Bruxelles","doi-asserted-by":"publisher","award":["Lifewatch"],"award-info":[{"award-number":["Lifewatch"]}],"id":[{"id":"10.13039\/501100002910","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Ecotopes are the smallest ecologically distinct landscape features in a landscape mapping and classification system. Mapping ecotopes therefore enables the measurement of ecological patterns, process and change. In this study, a multi-source GEOBIA workflow is used to improve the automated delineation and descriptions of ecotopes. Aerial photographs and LIDAR data provide input for landscape segmentation based on spectral signature, height structure and topography. Each segment is then characterized based on the proportion of land cover features identified at 2 m pixel-based classification. The results show that the use of hillshade bands simultaneously with spectral bands increases the consistency of the ecotope delineation. These results are promising to further describe biotopes of high ecological conservation value, as suggested by a successful test on ravine forest biotope.<\/jats:p>","DOI":"10.3390\/rs11030354","type":"journal-article","created":{"date-parts":[[2019,2,12]],"date-time":"2019-02-12T03:18:20Z","timestamp":1549941500000},"page":"354","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Improving Ecotope Segmentation by Combining Topographic and Spectral Data"],"prefix":"10.3390","volume":"11","author":[{"given":"Julien","family":"Radoux","sequence":"first","affiliation":[{"name":"Earth and Life Institute, Universit\u00e9 catholique de Louvain, 1348 Louvain-la-Neuve, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7564-655X","authenticated-orcid":false,"given":"Axel","family":"Bourdouxhe","sequence":"additional","affiliation":[{"name":"Biodiversity and Landscape Unit, Gembloux Agro-Bio Tech, Universit\u00e9 de Li\u00e8ge, 5030 Gembloux, Belgium"}]},{"given":"William","family":"Coos","sequence":"additional","affiliation":[{"name":"Biodiversity and Landscape Unit, Gembloux Agro-Bio Tech, Universit\u00e9 de Li\u00e8ge, 5030 Gembloux, Belgium"}]},{"given":"Marc","family":"Dufr\u00eane","sequence":"additional","affiliation":[{"name":"Biodiversity and Landscape Unit, Gembloux Agro-Bio Tech, Universit\u00e9 de Li\u00e8ge, 5030 Gembloux, Belgium"}]},{"given":"Pierre","family":"Defourny","sequence":"additional","affiliation":[{"name":"Earth and Life Institute, Universit\u00e9 catholique de Louvain, 1348 Louvain-la-Neuve, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zachos, F.E., and Habel, J.C. 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