Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.4995/raet.2014.2317 |
Evaluation of the different spectral indices to map biocrust using spectral information | |
Alonso, M.; Rodriguez-Caballero, E.; Chamizo, S.; Escribano, P.; Canton, Y. | |
通讯作者 | Rodriguez-Caballero, E |
来源期刊 | REVISTA DE TELEDETECCION
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ISSN | 1133-0953 |
EISSN | 1988-8740 |
出版年 | 2014 |
期号 | 42页码:79-98 |
英文摘要 | Biological soil crusts (BSC) are complex communities formed by a close association of soil particles and cyanobacteria, algae, microfungi, lichens or bryophytes that live within or immediately on top of the uppermost millimeters of the soil surface. These communities cover non vegetated areas in most of the arid and semiarid ecosystems, and modify numerous soil surface properties and ecosystem processes. Given the importance of BSC in ecosystem functioning, accurate and spatially explicit information on the distribution of BSC is mandatory. With this objective, considerable effort has been devoted to identify and map BSC using remote sensing data, and some spectral indices have been developed. These indexes use the spectral differences among BSC and other surface components like vegetation or bare soil to identify the areas dominated by BSC. Our main objective is to test the feasibility of the previous indices published in the literature for mapping different types of BSC in a complex study area, where these index have not been developed, at different spatial scales. Our results showed the low capability of indexes based on multiespectral images to identify areas covered by BSCat field and image spatial scales. Hyperspetral indices, on the other hand, showed better results than those obtained with multispectral indices, with an accuracy around 71% because they analyzed specific absorption features related with photosynthetic pigments like chlorophyll and carotenoids. We can conclude that the spatial heterogeneity of the area and the spectral similarities among BSC, green and dry vegetation or bare soil makes it difficult to correctly distinguish BSC in arid and semiarid ecosystems using only multispectral information, whereas hyperspectral images offer an important tool to map different types of BSC and to discriminate among these and other surface components. |
英文关键词 | biological soil crust hyperspectral semiarid remote sensing radiometry spectral indices |
类型 | Article |
语种 | 西班牙语 |
开放获取类型 | DOAJ Gold, Green Published |
收录类别 | ESCI |
WOS记录号 | WOS:000215991200008 |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/330728 |
作者单位 | [Alonso, M.; Rodriguez-Caballero, E.; Chamizo, S.; Canton, Y.] Univ Almeria, Dept Agron, Almeria, Spain; [Escribano, P.] CSIC, EEZA, Dept Desertificac & Geoecol, Madrid, Spain |
推荐引用方式 GB/T 7714 | Alonso, M.,Rodriguez-Caballero, E.,Chamizo, S.,et al. Evaluation of the different spectral indices to map biocrust using spectral information[J],2014(42):79-98. |
APA | Alonso, M.,Rodriguez-Caballero, E.,Chamizo, S.,Escribano, P.,&Canton, Y..(2014).Evaluation of the different spectral indices to map biocrust using spectral information.REVISTA DE TELEDETECCION(42),79-98. |
MLA | Alonso, M.,et al."Evaluation of the different spectral indices to map biocrust using spectral information".REVISTA DE TELEDETECCION .42(2014):79-98. |
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