文献类型：期刊文献

英文题名：Fine scale optical remote sensing experiment of mixed stand over complex terrain (FOREST) in the Genhe Reserve Area: objective, observation and a case study

作者：Cao, Biao[1] Qi, Jianbo[2] Chen, Erxue[3] Xiao, Qing[1,4] Liu, Qinhuo[1,4] Li, Zengyuan[3]

第一作者：Cao, Biao

通信作者：Liu, QH[1]

机构：[1]Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100049, Peoples R China;[2]Beijing Forestry Univ, State Forestry & Grassland Adm, Key Lab Forest Resources & Environm Management, Beijing, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing, Peoples R China;[4]Univ Chinese Acad Sci, Beijing, Peoples R China

年份：2021

卷号：14

期号：10

起止页码：1411-1432

外文期刊名：INTERNATIONAL JOURNAL OF DIGITAL EARTH

收录：;EI(收录号：20213410814138);Scopus(收录号：2-s2.0-85113821064);WOS:【SCI-EXPANDED(收录号:WOS:000687541100001)】；

基金：This work was supported in part by the National Basic Research Program of China (2013CB733400), in part by the Natural Science Foundation of China (41930111 and 41871258); in part by the Youth Innovation Promotion Association CAS under Grant 2020127; in part by the `Future Star' Talent Plan of the Aerospace Information Research Institute of Chinese Academy of Sciences under Grant Y920570Z1F.

语种：英文

外文关键词：Remote sensing experiment; forest; complex terrain; Genhe Reserve Area; LESS

摘要：Optical remote sensing allows to efficiently monitor forest ecosystems at regional and global scales. However, most of the widely used optical forward models and backward estimation methods are only suitable for forest canopies in flat areas. To evaluate the recent progress in forest remote sensing over complex terrain, a satellite-airborne-ground synchronous Fine scale Optical Remote sensing Experiment of mixed Stand over complex Terrain (FOREST) was conducted over a 1 kmx1 km key experiment area (KEA) located in the Genhe Reserve Areain 2016. Twenty 30 mx30 m elementary sampling units (ESUs) were established to represent the spatiotemporal variations of the KEA. Structural and spectral parameters were simultaneously measured for each ESU. As a case study, we first built two 3D scenes of the KEA with individual-tree and voxel-based approaches, and then simulated the canopy reflectance using the LargE-Scale remote sensing data and image Simulation framework over heterogeneous 3D scenes (LESS). The correlation coefficient between the LESS-simulated reflectance and the airborne-measured reflectance reaches 0.68-0.73 in the red band and 0.56-0.59 in the near-infrared band, indicating a good quality of the experiment dataset. More validation studies of the related forward models and retrieval methods will be done.