Fang Hongliang fanghl@lreis.ac.cn 0000-0002-6345-1197 Li Sijia lisj.19b@igsnrr.ac.cn 0000-0003-2960-8207 Zhang Yinghui zhangyh.17b@igsnrr.ac.cn 0000-0001-6980-2384 Wei Shanshan weiss@lreis.ac.cn 0000-0002-2831-3864 Yao Wang wangy.18b@igsnrr.ac.cn 2022 Global specific vegetation cover (SVC), base clumping index (BCI), full clumping index (FCI), and leaf projection function (G) derived from clumping index (CI), leaf area index (LAI), and fractional vegetation cover (FVC) remote sensing products dataset https://doi.org/10.1594/PANGAEA.940236 2022-01-21T09:14:06 The dataset includes global specific vegetation cover (SVC), base clumping index (BCI), full clumping index (FCI), and leaf projection function (G) derived from clumping index (CI), leaf area index (LAI), and fractional vegetation cover (FVC) remote sensing products. The SVC, defined as the ratio of FVC to LAI, was proposed to characterize the ability of vegetation to cover the ground and has great potential for vegetation characterization and phenology studies. In this dataset, the global monthly SVC was generated with FVC and LAI products from 2003–2017. Theoretically, SVC varies from 0 to 1. SVC >1.0 reveals inconsistent retrievals for FVC and LAI. Therefore, we also map the spatial distribution and frequency of SVC outying pixels based on above monthly SVC product. The BCI refers to the hypothetical minimum CI during leaf emergence when both the FVC and LAI are close to zero. The FCI represents the CI when the ground is completely covered by vegetation (FVC=1.0) or the pixel LAI reaches its maximum (assumed to be 7.0). The BCI and FCI values indicate the seasonal CI variations and would greatly facilitate canopy modeling and parameter retrieval studies. The global BCI and FCI with a spatial resolution of 0.05° were both estimated using the exponential relationships between CI and FVC or between CI and LAI, respectively. The nadir leaf projection function (G(0)) is defined as the average projection of the unit leaf area in the nadir direction. The global monthly G(0) maps at 0.05° spatial resolution were generated for the first time from the global CI, FVC, and LAI products based on the Beer-Lambert equation under the assumption that the whole CI can be approximated as nadir CI. It can be used as a benchmark for biophysical parameter retrieval and land surface modeling studies. The remote sensing products used for generating this dataset include the CAS-CI V1.1 (Wei et al., 2019), the GEOV2 FVC (Verger, A., 2019; https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_ATBD_LAI1km-V2_I1.41.pdf), and the MODIS LAI C6 (Myneni et al., 2015). In order to facilitate further analysis by users, the global monthly average CI, FVC, and LAI data at 0.05° are also provided in this dataset. Moreover, we share the statistical results about the variations of CI, FVC, LAI, and SVC with seasonal, latitude, and altitude. For more details about this dataset, please refer to (Fang et al. (2021) do:10.1016/j.srs.2021.100027). Fang Hongliang fanghl@lreis.ac.cn 0000-0002-6345-1197 Li Sijia lisj.19b@igsnrr.ac.cn 0000-0003-2960-8207 Zhang Y 0000-0001-7331-1246 Wei Shanshan weiss@lreis.ac.cn 0000-0002-2831-3864 Wang Yaoyao w_yaoyao0707@163.com 0000-0003-4432-1335 2021 New insights of global vegetation structural properties through an analysis of canopy clumping index, fractional vegetation cover, and leaf area index journal article Science of Remote Sensing 4 https://doi.org/10.1016/j.srs.2021.100027 100027 Myneni R Knyazikhin Y Park T 2015 MCD15A2H MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V006 dataset NASA EOSDIS Land Processes DAAC https://doi.org/10.5067/MODIS/MCD15A2H.006 Wei Shanshan weiss@lreis.ac.cn 0000-0002-2831-3864 Fang Hongliang fanghl@lreis.ac.cn 0000-0002-6345-1197 Schaaf Crystal B 0000-0002-9150-2975 He Liming 0000-0003-4010-6814 Chen Jing M 2019 Global 500 m clumping index product derived from MODIS BRDF data (2001–2017) journal article Remote Sensing of Environment 232 https://doi.org/10.1016/j.rse.2019.111296 111296 not specified National Key Research and Development Program of China https://doi.org/10.13039/501100012166 2016YFA0600201 922.4 CC-BY-4.0 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ In this dataset, the raster data was stored as GeoTIFF format at 0.05° under an general geographic coordinate system (WGS-84) with float type. The statistical results were stored as Excel format. The full description of dataset (ie. readme file and corresponding reference paper) was attached with dataset. CurationLevelB Basic curation https://wiki.pangaea.de/wiki/Curation_levels citable Base clumping index (BCI) Full clumping index (FCI) Leaf projection function (G) Specific vegetation cover (SVC) author24190 author24196 author43000 author43001 author58976 author63966 author65370 author81542 author81543 author84728 author86580 author86581 author86582 award940 curlevel20 funder20961 journal13771 journal17109 license21 ref108401 ref111530 ref111531 term69947 term69948 term69949 term69950 topotype1