Canopy clumping index (CI) characterizes the spatial distribution of leaves or needles within
a vegetation canopy. CI is critical in determining the canopy radiation transfer …

Accurate assessment of global carbon sequestration is the key step to accurately assess
future CO 2 concentrations and predict climate change. At present, the spatial and temporal …

Forest-canopy height is an important parameter for the estimation of forest biomass and
terrestrial carbon flux and climate-change research at regional and global scales. Currently …

Multi-angle optical reflectance measurements such as those from the NASA moderate
resolution imaging spectroradiometer (MODIS) are sensitive to forest 3D structures …

Surface reflectance anisotropy and insufficient multi-angular observations are the main
challenges in albedo estimation from satellite observations. Numerous studies have been …

The hotspot effect is a typical angular reflectance signature of vegetation canopies and
contains important information for the retrieval of vegetation structural parameters. To date …

准确评估全球碳循环是准确估算未来大气CO 2 浓度, 预测气候变化的关键.
目前全球陆地与海洋碳源汇估算时空不确定性大. 除碳循环模式理论和认知存在缺陷外 …

Vegetation indices are widely used to derive land surface phenology (LSP). However, due to
inconsistent illumination geometries, reflectance varies with solar zenith angles (SZA), which …

The vertical foliage profile (VFP) and leaf area index (LAI) are critical descriptors in terrestrial
ecosystem modeling. Although light detection and ranging (lidar) observations have been …

The clumping index (CI) quantifies the foliage grouping within distinct canopies relative to
randomly distributed canopies, which plays an important role in the vegetation radiative …