{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T10:49:15Z","timestamp":1776854955184,"version":"3.51.2"},"reference-count":43,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2015,9,25]],"date-time":"2015-09-25T00:00:00Z","timestamp":1443139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Iron is an indicator for soil fertility and the usability of an area for cultivating crops. Remote sensing is the only suitable tool for surveying large areas at a high temporal and spatial interval, yet a relative high spectral resolution is needed for mapping iron contents with reflectance data. Sentinel-2 has several bands that cover the 0.9 \u03bcm iron absorption feature, while space-borne sensors traditionally used for geologic remote sensing, like ASTER and Landsat, had only one band in this feature. In this paper, we introduce a curve-fitting technique for Sentinel-2 that approximates the iron absorption feature at a hyperspectral resolution. We test our technique on library spectra of different iron bearing minerals and we apply it to a Sentinel-2 image synthesized from an airborne hyperspectral dataset. Our method finds the wavelength position of maximum absorption and absolute absorption depth for minerals Beryl, Bronzite, Goethite, Jarosite and Hematite. Sentinel-2 offers information on the 0.9 \u03bcm absorption feature that until now was reserved for hyperspectral instruments. Being a satellite mission, this information comes at a lower spatial resolution than airborne hyperspectral data, but with a large spatial coverage and frequent revisit time.<\/jats:p>","DOI":"10.3390\/rs71012635","type":"journal-article","created":{"date-parts":[[2015,9,28]],"date-time":"2015-09-28T03:02:55Z","timestamp":1443409375000},"page":"12635-12653","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":95,"title":["Sentinel-2 for Mapping Iron Absorption Feature Parameters"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2871-3913","authenticated-orcid":false,"given":"Harald","family":"Van der Werff","sequence":"first","affiliation":[{"name":"Faculty of Geo-information Science and Earth Observation, University of Twente, Drienerlolaan 5,7522 NB, Enschede, The Netherlands"}]},{"given":"Freek","family":"Van der Meer","sequence":"additional","affiliation":[{"name":"Faculty of Geo-information Science and Earth Observation, University of Twente, Drienerlolaan 5,7522 NB, Enschede, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2015,9,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.rse.2011.07.023","article-title":"ESA\u2019s sentinel missions in support of Earth system science","volume":"120","author":"Berger","year":"2012","journal-title":"Remote Sens. 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