caa a22 4500 445300396 CHVBK 20180317142555.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11430-010-4141-6 doi (NATIONALLICENCE)springer-10.1007/s11430-010-4141-6 Scale effects of leaf area index inversion based on environmental and disaster monitoring satellite data [Elektronische Daten] [Hao Zhang, XiaoWen Li, ChunXiang Cao, Hua Yang, MengXu Gao, Sheng Zheng, Min Xu, DongHui Xie, HuiCong Jia, Wei Ji, Jian Zhao, Wei Chen, XiLiang Ni] The spatial distribution of sub-pixel components has an impact on retrieval accuracy, and should be accounted for when inverting a three-dimensional adiative transfer model to retrieve leaf area index (LAI). To investigate this effect, we constructed three realistic scenarios with the same LAI values and other properties, except that the simulated plants had different distributions. We implemented the radiosity method to subsequently produce synthetic bidirectional reflectance factor (BRF) datasets based upon these simulated scenes. The inversion was conducted using these data, which showed that spatial distribution affects retrieval accuracy. The inversion was also conducted for LAI based on charge-coupled device (CCD) data from the Environment and Disaster Monitor Satellite (HJ-1), which depicted both forest and drought-resistant crop land cover. This showed that heterogeneity in coarse-resolution remote sensing data is the main error source in LAI inversion. The spatial distribution of global fractal dimension index, which can be used to describe the area of sub-pixel components and their spatial distribution modes, shows good consistency with the coarse resolution LAI inversion error. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 HJ-1 nationallicence leaf area index nationallicence scale effect nationallicence spatial distribution nationallicence Zhang Hao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Li XiaoWen State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Cao ChunXiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Yang Hua State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, Beijing, China aut Gao MengXu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Zheng Sheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Xu Min State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Xie DongHui State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, Beijing, China aut Jia HuiCong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Ji Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Zhao Jian State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Chen Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Ni XiLiang State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Science China Earth Sciences SP Science China Press 53(2010-12-01), 92-98 1674-7313 53<92 2010 53 11430 https://doi.org/10.1007/s11430-010-4141-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-4141-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Hao State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Li XiaoWen State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, 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 Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Yang Hua State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, Beijing, China aut NATIONALLICENCE 700 1- Gao MengXu State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zheng Sheng State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, 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 Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Xie DongHui State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences, 100875, Beijing, China aut NATIONALLICENCE 700 1- Jia HuiCong State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, 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 Institute of Remote Sensing Applications, 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 Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Chen Wei State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, 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 Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53(2010-12-01), 92-98 1674-7313 53<92 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer