Arid
DOI10.1016/j.isprsjprs.2017.02.007
Transferability of multi- and hyperspectral optical biocrust indices
Rodriguez-Caballero, E.1,2; Escribano, P.3; Olehowski, C.4; Chamizo, S.2,5; Hill, J.6; Canton, Y.2; Weber, B.1
通讯作者Rodriguez-Caballero, E.
来源期刊ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
EISSN1872-8235
出版年2017
卷号126页码:94-107
英文摘要

Biological soil crusts (biocrusts) are communities of cyanobacteria, algae, microfungi, lichens and bryophytes in varying proportions, which live within or immediately on top of the uppermost millimeters of the soil in arid and semiarid regions. As biocrusts are highly relevant for ecosystem processes like carbon, nitrogen, and water cycling, a correct characterization of their spatial distribution is required. Following this objective, considerable efforts have been devoted to the identification and mapping of biocrusts using remote sensing data, and several mapping indices have been developed. However, their transferability to different regions has only rarely been tested. In this study we investigated the transferability of two multispectral indices, i.e. the Crust Index (CI) and the Biological Soil Crust Index (BSCI), and two hyperspectral indices, i.e. the Continuum Removal Crust Identification Algorithm (CRCIA) and the Crust Development Index (CDI), in three sites dominated by biocrusts, but with differences in soil and vegetation composition. Whereas multispectral indices have been important and valuable tools for first approaches to map and classify biological soil crusts, hyperspectral data and indices developed for these allowed to classify biocrusts at much higher accuracy. While multispectral indices showed Kappa (kappa) values below 0.6, hyperspectral indices obtained good classification accuracy (kappa similar to 0.8) in both the study area where they had been developed and in the newly tested region. These results highlight the capability of hyperspectral sensors to identify specific absorption features related to photosynthetic pigments as chlorophyll and carotenoids, but also the limitation of multispectral information to discriminate between areas dominated by biocrusts, vegetation or bare soil. Based on these results we conclude that remote sensing offers an important and valid tool to map biocrusts. However, the spectral similarity between the main surface components of drylands and biocrusts demand for mapping indices based on hyperspectral information to correctly map areas dominated by biocrusts at ecosystem scale. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.


英文关键词Biological soil crust Remote sensing Hyperspectral Mapping indices Drylands Multispectral
类型Article
语种英语
国家Germany ; Spain
收录类别SCI-E
WOS记录号WOS:000399628400008
WOS关键词BIOLOGICAL SOIL CRUSTS ; SPECTRAL REFLECTANCE ; VEGETATION ; DESERT ; RUNOFF ; SPECTROSCOPY ; LICHENS ; CARBON ; AREA ; CYANOBACTERIA
WOS类目Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/199901
作者单位1.Max Planck Inst Chem, Multiphase Chem Dept, Hahn Meitner Weg 1, D-55128 Mainz, Germany;
2.Univ Almeria, Dept Agron, La Canada De San Urbano 04120, Almeria, Spain;
3.Andalusian Ctr Assessment & Monitoring Global Cha, CAESCG, La Canada De San Urbano 04120, Almeria, Spain;
4.Univ Educ Heidelberg, Geog Dept, D-69120 Heidelberg, Germany;
5.Univ Granada, Appl Phys Dept, E-18071 Granada, Spain;
6.Univ Trier, Environm Remote Sensing & Geoinformat Dept, D-54286 Trier, Germany
推荐引用方式
GB/T 7714
Rodriguez-Caballero, E.,Escribano, P.,Olehowski, C.,et al. Transferability of multi- and hyperspectral optical biocrust indices[J],2017,126:94-107.
APA Rodriguez-Caballero, E..,Escribano, P..,Olehowski, C..,Chamizo, S..,Hill, J..,...&Weber, B..(2017).Transferability of multi- and hyperspectral optical biocrust indices.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,126,94-107.
MLA Rodriguez-Caballero, E.,et al."Transferability of multi- and hyperspectral optical biocrust indices".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 126(2017):94-107.
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