caa a22 4500 445300426 CHVBK 20180317142555.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11430-010-4127-4 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4127-4 Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1 CCD data in Mu Us Sandland [Elektronische Daten] [Wei Chen, ChunXiang Cao, QiSheng He, HuaDong Guo, Hao Zhang, RenQiang Li, Sheng Zheng, Min Xu, MengXu Gao, Jian Zhao, Sha Li, XiLiang Ni, HuiCong Jia, Wei Ji, Rong Tian, Cheng Liu, YuXing Zhao, JingLu Li] The leaf area index (LAI) is an important ecological parameter that characterizes the interface between vegetation canopy and the atmosphere. In addition, it is used by most process-oriented ecosystem models. This paper investigates the potential of HJ-1 CCD data combined with linear spectral unmixing and an inverted geometric-optical model for the retrieval of the shrub LAI in Wushen Banner of Inner Mongolia in the Mu Us Sandland. MODTRAN (Moderate Resolution Atmospheric Radiance and Transmittance Model) was used for atmospheric correction. Shrubland was extracted using the threshold of the normalized difference vegetation index, with which water bodies and farmland were separated, in combination with a vegetation map of the People's Republic of China (1:1000000). Using the geometric-optical model, we derive the per-pixel reflectance as a simple linear combination of two components, namely sunlit background and other. The fraction of sunlit background is related to the shrub LAI. With the support of HJ-1 CCD data, we employ linear spectral unmixing to obtain the fraction of sunlit background in an atmospherically corrected HJ image. In addition, we use the measured shrub canopy structural parameters for shrub communities to invert the geometric-optical model and retrieve the pixel-based shrub LAI. In total, 18 sample plots collected in Wushen Banner of Inner Mongolia are used for validation. The results of the shrub LAI show good agreement with R 2 of 0.817 and a root-mean-squared error of 0.173. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 shrub leaf area index inversion nationallicence HJ-1 data nationallicence geometric-optical model nationallicence MODTRAN nationallicence Mu Us Sandland nationallicence Chen Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Cao ChunXiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut He QiSheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Guo HuaDong Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, 100190, Beijing, China aut Zhang Hao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Li RenQiang China Key Laboratory of Ecological Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Zheng Sheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Xu Min State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Gao MengXu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Zhao Jian State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Li Sha State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Ni XiLiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Jia HuiCong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Ji Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Tian Rong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Liu Cheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Zhao YuXing Ordos Forestry Sand Control Science Institute, 017000, Dongsheng, China aut Li JingLu Inner Mongolia Biomass Thermoelectricity Limited Company, 017300, Wushen, China aut Science China Earth Sciences SP Science China Press 53(2010-12-01), 26-33 1674-7313 53<26 2010 53 11430 https://doi.org/10.1007/s11430-010-4127-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4127-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Cao ChunXiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- He QiSheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Guo HuaDong Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 700 1- Zhang Hao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Li RenQiang China Key Laboratory of Ecological Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zheng Sheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Xu Min State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Gao MengXu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zhao Jian State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Li Sha State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Ni XiLiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Jia HuiCong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Ji Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Tian Rong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Liu Cheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zhao YuXing Ordos Forestry Sand Control Science Institute, 017000, Dongsheng, China aut NATIONALLICENCE 700 1- Li JingLu Inner Mongolia Biomass Thermoelectricity Limited Company, 017300, Wushen, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53(2010-12-01), 26-33 1674-7313 53<26 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer