Sentinel-2 for Mapping Iron Absorption Feature Parameters

Remote Sensing

Harald van der Werff¹  Freek van der Meer²  James Jin-King Liu²  Lenio Soares Galvao²  Nicolas Baghdadi² 

[1] Faculty of Geo-information Science and Earth Observation, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands; E-Mail

关键词: Sentinel-2;    Hymap;    iron absorption feature;    mineralogy;    soils;    hyperspectral;    Cabo de Gata;   

DOI  :  10.3390/rs71012635

来源: mdpi

【 摘 要 】

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 μm 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 μm 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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.