干旱区生态环境知识资源中心(Arid): Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts

Arid

DOI	10.3390/rs11111350
	Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts
	Raul Roman, Jose 1; Rodriguez-Caballero, Emilio 1,2,3; Rodriguez-Lozano, Borja 1; Roncero-Ramos, Beatriz 1; Chamizo, Sonia 1,2; Aguila-Carricondo, Pilar 1; Canton, Yolanda 1,2
通讯作者	Raul Roman, Jose
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:11
英文摘要	Chlorophyll a concentration (Chla) is a well-proven proxy of biocrust development, photosynthetic organisms' status, and recovery monitoring after environmental disturbances. However, laboratory methods for the analysis of chlorophyll require destructive sampling and are expensive and time consuming. Indirect estimation of chlorophyll a by means of soil surface reflectance analysis has been demonstrated to be an accurate, cheap, and quick alternative for chlorophyll retrieval information, especially in plants. However, its application to biocrusts has yet to be harnessed. In this study we evaluated the potential of soil surface reflectance measurements for non-destructive Chla quantification over a range of biocrust types and soils. Our results revealed that from the different spectral transformation methods and techniques, the first derivative of the reflectance and the continuum removal were the most accurate for Chla retrieval. Normalized difference values in the red-edge region and common broadband indexes (e.g., normalized difference vegetation index (NDVI)) were also sensitive to changes in Chla. However, such approaches should be carefully adapted to each specific biocrust type. On the other hand, the combination of spectral measurements with non-linear random forest (RF) models provided very good fits (R-2 > 0.94) with a mean root mean square error (RMSE) of about 6.5 mu g/g soil, and alleviated the need for a specific calibration for each crust type, opening a wide range of opportunities to advance our knowledge of biocrust responses to ongoing global change and degradation processes from anthropogenic disturbance.
英文关键词	Biocrusts biological soil crust chlorophyll quantification hyperspectral random forest remote sensing
类型	Article
语种	英语
国家	Spain
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000472648000093
WOS关键词	BIOLOGICAL SOIL CRUSTS ; REFLECTANCE SPECTRA ; RED EDGE ; VEGETATION INDEXES ; LEAF ; DESERT ; CYANOBACTERIA ; COMMUNITIES ; DISTURBANCE ; EROSION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; 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/2XILL650/218381
作者单位	1.Univ Almeria, Agron Dept, Almeria 04120, Spain; 2.Univ Almeria, Ctr Invest Colecc Cient Univ Almeria CECOUAL, Almeria 04120, Spain; 3.CSIC, EEZA, Almeria 04120, Spain
推荐引用方式 GB/T 7714	Raul Roman, Jose,Rodriguez-Caballero, Emilio,Rodriguez-Lozano, Borja,et al. Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts[J],2019,11(11).
APA	Raul Roman, Jose.,Rodriguez-Caballero, Emilio.,Rodriguez-Lozano, Borja.,Roncero-Ramos, Beatriz.,Chamizo, Sonia.,...&Canton, Yolanda.(2019).Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts.REMOTE SENSING,11(11).
MLA	Raul Roman, Jose,et al."Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts".REMOTE SENSING 11.11(2019).