de.pangaea.dataset940236 und dataset PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact 2026-04-30T21:37:33Z https://doi.pangaea.de/10.1594/PANGAEA.940236 <gco:CharacterString>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</gco:CharacterString> 2022-01-21T09:14:06 publication https://doi.org/10.1594/PANGAEA.940236 Fang, Hongliang
fanghl@lreis.ac.cn
https://orcid.org/0000-0002-6345-1197 information author Li, Sijia
lisj.19b@igsnrr.ac.cn
https://orcid.org/0000-0003-2960-8207 information author Zhang, Yinghui
zhangyh.17b@igsnrr.ac.cn
https://orcid.org/0000-0001-6980-2384 information author Wei, Shanshan
weiss@lreis.ac.cn
https://orcid.org/0000-0002-2831-3864 information author Yao, Wang
wangy.18b@igsnrr.ac.cn
author PANGAEA
info@pangaea.de
https://www.pangaea.de/ information publisher tableDigital 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). completed Base clumping index (BCI) Full clumping index (FCI) Leaf projection function (G) Specific vegetation cover (SVC) theme <gco:CharacterString>PANGAEA Keyword List</gco:CharacterString> 1995-01-01 creation PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 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. application/zip unknown https://download.pangaea.de/dataset/940236/files/Data.zip download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. Related to <gco:CharacterString>New insights of global vegetation structural properties through an analysis of canopy clumping index, fractional vegetation cover, and leaf area index</gco:CharacterString> 2021-01-01 publication https://doi.org/10.1016/j.srs.2021.100027 Fang, Hongliang
fanghl@lreis.ac.cn
https://orcid.org/0000-0002-6345-1197 information author Li, Sijia
lisj.19b@igsnrr.ac.cn
https://orcid.org/0000-0003-2960-8207 information author Zhang, Y https://orcid.org/0000-0001-7331-1246 information author Wei, Shanshan
weiss@lreis.ac.cn
https://orcid.org/0000-0002-2831-3864 information author Wang, Yaoyao
w_yaoyao0707@163.com
https://orcid.org/0000-0003-4432-1335 information author documentDigital Science of Remote Sensing 4 100027 Related to <gco:CharacterString>MCD15A2H MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V006</gco:CharacterString> 2015-01-01 publication https://doi.org/10.5067/MODIS/MCD15A2H.006 Myneni, R author Knyazikhin, Y author Park, T author documentDigital NASA EOSDIS Land Processes DAAC Related to <gco:CharacterString>Global 500 m clumping index product derived from MODIS BRDF data (2001–2017)</gco:CharacterString> 2019-01-01 publication https://doi.org/10.1016/j.rse.2019.111296 Wei, Shanshan
weiss@lreis.ac.cn
https://orcid.org/0000-0002-2831-3864 information author Fang, Hongliang
fanghl@lreis.ac.cn
https://orcid.org/0000-0002-6345-1197 information author Schaaf, Crystal B https://orcid.org/0000-0002-9150-2975 information author He, Liming https://orcid.org/0000-0003-4010-6814 information author Chen, Jing M author documentDigital Remote Sensing of Environment 232 111296