cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/5jf-20z-ktd
title: Clathromangelia granum (R. A. Philippi, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ckd-xl7-5zb
title: Ringicula conformis Monterosato, 1877

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rdy-kqp-v02
title: Rissoa violacea Desmarest, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/85c-5l4-cwp
title: Parvicardium scriptum (Bucquoy, Dautzenberg & Dollfus, 1892)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jmn-xel-7pr
title: Ringicula conformis Monterosato, 1877

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9vn-23m-mpt
title: Aplus dorbignyi (Payraudeau, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8nl-as2-e4x
title: Steromphala rarilineata (Michaud, 1829)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tp9-fp4-33g
title: Spisula solida (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ptt-r9c-9f7
title: Phorcus richardi (Payraudeau, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v1w-1ld-v93
title: Peringia ulvae (Pennant, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7n4-y09-bvl
title: Cecilioides tumulorum (Bourguignat, 1856)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7ge-yxt-7z2
title: Ensis magnus Schumacher, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hxv-fsq-cq3
title: Pomatias elegans (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.4ee24p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Edentata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 30,-30 30,-30 60,-60 60,-60 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047628-250920141307145/datasets/export for details.
DOI: 10.3535/2w9-pmy-0fx
title: Albinaria troglodytes troglodytes (A. Schmidt, 1868)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/haw-llv-r8m
title: Ensis magnus Schumacher, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kn7-q99-6dx
title: Spisula elliptica (T. Brown, 1827)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kt6-a7v-hw3
title: Chondrina centralis centralis (Fagot, 1891)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1mp-2n4-gwx
title: Vallonia enniensis (Gredler, 1856)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2np-nc7-wak
title: Corbicula fluminea (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e9c-wg1-zda
title: Bittium reticulatum (da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5f4-glx-k71
title: Lauria cylindracea (Da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pnb-zh7-vx1
title: Cochlicopa lubrica (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yn4-hzx-e8f
title: Littorina obtusata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bkv-ayc-myt
title: Hermania scabra (O. F. Müller, 1784)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pmb-s77-ck3
title: Vallonia pulchella (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qnm-x0w-lj9
title: Pomatias elegans (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jq3-5l9-27r
title: Clanculus cruciatus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vwh-way-w5c
title: Laevicardium crassum (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x3p-9ks-4xp
title: Unio pictorum (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eeb-vv0-qsr
title: Paralaoma servilis (Shuttleworth, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qhz-6bd-g5k
title: Mastus grandis grandis (Mousson, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.x9w4c8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Edentata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 60,0 60,0 90,-30 90,-30 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047631-250920141307145/datasets/export for details.
DOI: 10.3535/e4y-9rq-6nm
title: Retusa truncatula (Bruguière, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.s7w9g7
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peltogyne purpurea"
 ]
}

 The dataset includes 235 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068876-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cva348
title: Occurrence Download

description: A dataset containing 4143815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "OccurrenceStatus is Present",
 "Year 1991-2025"
 ]
}

 The dataset includes 4143815 records from 516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068872-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18010746
title: Variable Radio Sources from the First Two Epochs of the VLA Sky Survey

description: Supplementary data for: "A Census of Variable Radio Sources at 3GHz" 

 

If you make use of this data in your work, we ask that you cite the corresponding paper (Gordon et al. 2026, OJAp, submitted, arXiv: 2508.00976).

 

Contents



Table1_variables.fits, a table of variable radio sources found using the first two epochs of VLASS. The electronic version of Table 1 from the associated paper.

Table5_xIDs.fits, a table of multiwvelength cross IDs for VLASS sources (including variables) whose average brightness across the first two VLASS epochs was > 20 mJy. The electronic version of Table 5 from the associated paper.

variable_qa_images.tar.gz, a tarball containing the QA images for the 4,124 candidate variable radio sources identified in Section 3.4 of the associated paper. The filename of each image corresponds to the VLASS1QLCIR name of the source in Table 1.


 

Table Column Definitions

Table 1: Variables




Column Name
Unit
Description


VLASS1QLCIR
-
Name of the source in VLASS Epoch 1


VLASS2QLCIR
-
Name of the source in VLASS Epoch 2


RA
deg
Right ascension of the source 


Dec
deg
Declination of the source


MJD1
day
MJD of the Epoch 1 observation


MJD2
day
MJD of the Epoch 2 observation


dS
mJy
Change in flux between Epoch 1 and 2


e_dS
mJy
Uncertainty in dS


meanS
mJy
Mean flux from Epoch 1 and Epoch 2 observations


VarSig
-
Significance of variability based on the variability of all sources within that VLASS Tile


modidx
-
Modulation index of the variability


f_vi
-
Visual inspection flag, sources with f_vi=0 are likely real variable sources




 

Table 5: Multiwavelength cross IDs




Column Name
Unit
Description


VLASS1QLCIR
-
Name of the source in VLASS Epoch 1


AllWISE
-
Name of the source in the AllWISE catalog (CDS:II/328)


W1mag
mag
W1-band (3.4um) magnitude of the source in AllWISE


e_W1mag
mag
Uncertainty in W1mag


W2mag
mag
W2-band (4.3um) magnitude of the source in AllWISE


e_W2mag
mag
Uncertainty in W2mag


W3mag
mag
W3-band (12um) magnitude of the source in AllWISE


e_W3mag
mag
Uncertainty in W3mag


4FGL
-
Name of the source (Source_Name) in the 4FGL DR4 catalog (4FGL-DR4)


Flux1000
1e10 cm^{-2} s^{-1}
Integrated gamma-ray flux between 1 and 1000 GeV


e_Flux1000
1e10 cm^{-2} s^{-1}
Uncertainty in Flux1000


VariabilityIndex
-
Gamma-ray variability index (> 24.72 is indicitave of variability)


zID
-
ID of the source in the optical catalog that z was obtained from (either SDSS16 from CDS:V/154, or ID from CDS:VII/292)


z
-
Redshift of the source


e_z
-
Uncertainty in z
DOI: 10.5281/zenodo.18010745
title: Variable Radio Sources from the First Two Epochs of the VLA Sky Survey

description: Supplementary data for: "A Census of Variable Radio Sources at 3GHz" 

 

If you make use of this data in your work, we ask that you cite the corresponding paper (Gordon et al. 2026, OJAp, submitted, arXiv: 2508.00976).

 

Contents



Table1_variables.fits, a table of variable radio sources found using the first two epochs of VLASS. The electronic version of Table 1 from the associated paper.

Table5_xIDs.fits, a table of multiwvelength cross IDs for VLASS sources (including variables) whose average brightness across the first two VLASS epochs was > 20 mJy. The electronic version of Table 5 from the associated paper.

variable_qa_images.tar.gz, a tarball containing the QA images for the 4,124 candidate variable radio sources identified in Section 3.4 of the associated paper. The filename of each image corresponds to the VLASS1QLCIR name of the source in Table 1.


 

Table Column Definitions

Table 1: Variables




Column Name
Unit
Description


VLASS1QLCIR
-
Name of the source in VLASS Epoch 1


VLASS2QLCIR
-
Name of the source in VLASS Epoch 2


RA
deg
Right ascension of the source 


Dec
deg
Declination of the source


MJD1
day
MJD of the Epoch 1 observation


MJD2
day
MJD of the Epoch 2 observation


dS
mJy
Change in flux between Epoch 1 and 2


e_dS
mJy
Uncertainty in dS


meanS
mJy
Mean flux from Epoch 1 and Epoch 2 observations


VarSig
-
Significance of variability based on the variability of all sources within that VLASS Tile


modidx
-
Modulation index of the variability


f_vi
-
Visual inspection flag, sources with f_vi=0 are likely real variable sources




 

Table 5: Multiwavelength cross IDs




Column Name
Unit
Description


VLASS1QLCIR
-
Name of the source in VLASS Epoch 1


AllWISE
-
Name of the source in the AllWISE catalog (CDS:II/328)


W1mag
mag
W1-band (3.4um) magnitude of the source in AllWISE


e_W1mag
mag
Uncertainty in W1mag


W2mag
mag
W2-band (4.3um) magnitude of the source in AllWISE


e_W2mag
mag
Uncertainty in W2mag


W3mag
mag
W3-band (12um) magnitude of the source in AllWISE


e_W3mag
mag
Uncertainty in W3mag


4FGL
-
Name of the source (Source_Name) in the 4FGL DR4 catalog (4FGL-DR4)


Flux1000
1e10 cm^{-2} s^{-1}
Integrated gamma-ray flux between 1 and 1000 GeV


e_Flux1000
1e10 cm^{-2} s^{-1}
Uncertainty in Flux1000


VariabilityIndex
-
Gamma-ray variability index (> 24.72 is indicitave of variability)


zID
-
ID of the source in the optical catalog that z was obtained from (either SDSS16 from CDS:V/154, or ID from CDS:VII/292)


z
-
Redshift of the source


e_z
-
Uncertainty in z
DOI: 10.15468/dl.n825t7
title: Occurrence Download

description: A dataset containing 385684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Motacilla capensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 385684 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068874-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17838511
title: GVCCC: Global 500m 7-Day Vegetation Canopy Chlorophyll Content Products from MERIS and OLCI Imagery since 2003: Part 2

description: This dataset is part of the full collection: https://doi.org/10.5281/zenodo.17809345

The Global Vegetation Canopy Chlorophyll Content (GVCCC) product since 2003 provides global-scale estimates of canopy Chlorophyll Content (CCC) at a spatial resolution of 500 meters and a temporal resolution of 7 days. This v.30 version of the GVCCC dataset is derived from surface reflectance observations collected by ENVISAT MERIS (2003–2012) and Sentinel-3 OLCI (2018–2020), utilizing the MODIS sinusoidal tiling scheme.

CCC refers to the total weight of chlorophyll in vegetation canopy per unit ground area. CCC serves as a critical biophysical indicator reflecting vegetation growth conditions. Accurate estimation of CCC is essential for monitoring plant physiological status, evaluating vegetation productivity, detecting environmental stressors, assessing ecosystem health, and modeling carbon cycling processes in terrestrial ecosystems. 

GVCCC generation integrates multi-source satellite data, including top-of-canopy reflectance from MERIS and OLCI sensors and the MERIS Terrestrial Chlorophyll Index (MTCI). Additionally, auxiliary datasets such as global vegetation type and vegetation clumping index products are incorporated. A machine learning-based inversion framework is employed to estimate CCC, leveraging the 4SCALE and PROSAIL radiative transfer models to simulate canopy reflectance under varying structural and biochemical conditions. The CCC unit is micrograms per square centimeter (μg/cm²), the scaling factor is 10, meaning that CCC = DN / 10. The invalid data value is -10,000.

Below are the names of the TIFF files for the CCC products from ENVISAT MERIS and Sentinel-3 OLCI. Here, the sensor abbreviations MERIS and S3OLC stand for ENVISAT MERIS and Sentinel-3 OLCI, respectively. The date "20030305" represents the first day of a 7-day interval, formatted as YYYYMMDD. "ESACCI-LC-L3-SR" represents the key information of the input satellite reflectance data. "v3.0" indicates the version number of GVCCC dataset. The GVCCC dataset was first released on the National Earth System Science Data Center (http://wdcrre.data.ac.cn/data/9a006) in 2022, marking its third updated v3.0 version, and it will be released again in 2025.

    CCC-ESACCI-LC-L3-SR-MERIS-500m-P7D-h02v06-20030305-v3.0-MODISTile.tif

    CCC-ESACCI-LC-L3-SR-S3OLC-500m-P7D-h00v09-20190305-v3.0-MODISTile.tif

Dataset Characteristics:

·Spatial Coverage: Global

·Temporal Coverage: 2003-2012, 2018-2020

·Spatial Resolution: 500 m

·Temporal Resolution: 7 day

·Projection: Sinusoidal

·Data Format: tif

·Scale: 0.1

·Valid Range: 0 – 10000

·unit: μg/cm²

Citation (Please cite this paper whenever these data are used):

Sun, Q., Jiao, Q., Liu, L., Liu, X., Qian, X., Zhang, X., Zhang, B. (2021). Improving the retrieval of forest canopy chlorophyll content from MERIS data by introducing the vegetation clumping index. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14(3), 034504.
DOI: 10.5281/zenodo.17838510
title: GVCCC: Global 500m 7-Day Vegetation Canopy Chlorophyll Content Products from MERIS and OLCI Imagery since 2003: Part 2

description: This dataset is part of the full collection: https://doi.org/10.5281/zenodo.17809345

The Global Vegetation Canopy Chlorophyll Content (GVCCC) product since 2003 provides global-scale estimates of canopy Chlorophyll Content (CCC) at a spatial resolution of 500 meters and a temporal resolution of 7 days. This v.30 version of the GVCCC dataset is derived from surface reflectance observations collected by ENVISAT MERIS (2003–2012) and Sentinel-3 OLCI (2018–2020), utilizing the MODIS sinusoidal tiling scheme.

CCC refers to the total weight of chlorophyll in vegetation canopy per unit ground area. CCC serves as a critical biophysical indicator reflecting vegetation growth conditions. Accurate estimation of CCC is essential for monitoring plant physiological status, evaluating vegetation productivity, detecting environmental stressors, assessing ecosystem health, and modeling carbon cycling processes in terrestrial ecosystems. 

GVCCC generation integrates multi-source satellite data, including top-of-canopy reflectance from MERIS and OLCI sensors and the MERIS Terrestrial Chlorophyll Index (MTCI). Additionally, auxiliary datasets such as global vegetation type and vegetation clumping index products are incorporated. A machine learning-based inversion framework is employed to estimate CCC, leveraging the 4SCALE and PROSAIL radiative transfer models to simulate canopy reflectance under varying structural and biochemical conditions. The CCC unit is micrograms per square centimeter (μg/cm²), the scaling factor is 10, meaning that CCC = DN / 10. The invalid data value is -10,000.

Below are the names of the TIFF files for the CCC products from ENVISAT MERIS and Sentinel-3 OLCI. Here, the sensor abbreviations MERIS and S3OLC stand for ENVISAT MERIS and Sentinel-3 OLCI, respectively. The date "20030305" represents the first day of a 7-day interval, formatted as YYYYMMDD. "ESACCI-LC-L3-SR" represents the key information of the input satellite reflectance data. "v3.0" indicates the version number of GVCCC dataset. The GVCCC dataset was first released on the National Earth System Science Data Center (http://wdcrre.data.ac.cn/data/9a006) in 2022, marking its third updated v3.0 version, and it will be released again in 2025.

    CCC-ESACCI-LC-L3-SR-MERIS-500m-P7D-h02v06-20030305-v3.0-MODISTile.tif

    CCC-ESACCI-LC-L3-SR-S3OLC-500m-P7D-h00v09-20190305-v3.0-MODISTile.tif

Dataset Characteristics:

·Spatial Coverage: Global

·Temporal Coverage: 2003-2012, 2018-2020

·Spatial Resolution: 500 m

·Temporal Resolution: 7 day

·Projection: Sinusoidal

·Data Format: tif

·Scale: 0.1

·Valid Range: 0 – 10000

·unit: μg/cm²

Citation (Please cite this paper whenever these data are used):

Sun, Q., Jiao, Q., Liu, L., Liu, X., Qian, X., Zhang, X., Zhang, B. (2021). Improving the retrieval of forest canopy chlorophyll content from MERIS data by introducing the vegetation clumping index. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14(3), 034504.
DOI: 10.5281/zenodo.17851168
title: GVCCC: Global 500m 7-Day Vegetation Canopy Chlorophyll Content Products from MERIS and OLCI Imagery since 2003: Part 4

description: This dataset is part of the full collection: https://doi.org/10.5281/zenodo.17809345

The Global Vegetation Canopy Chlorophyll Content (GVCCC) product since 2003 provides global-scale estimates of canopy Chlorophyll Content (CCC) at a spatial resolution of 500 meters and a temporal resolution of 7 days. This v.30 version of the GVCCC dataset is derived from surface reflectance observations collected by ENVISAT MERIS (2003–2012) and Sentinel-3 OLCI (2018–2020), utilizing the MODIS sinusoidal tiling scheme.

CCC refers to the total weight of chlorophyll in vegetation canopy per unit ground area. CCC serves as a critical biophysical indicator reflecting vegetation growth conditions. Accurate estimation of CCC is essential for monitoring plant physiological status, evaluating vegetation productivity, detecting environmental stressors, assessing ecosystem health, and modeling carbon cycling processes in terrestrial ecosystems. 

GVCCC generation integrates multi-source satellite data, including top-of-canopy reflectance from MERIS and OLCI sensors and the MERIS Terrestrial Chlorophyll Index (MTCI). Additionally, auxiliary datasets such as global vegetation type and vegetation clumping index products are incorporated. A machine learning-based inversion framework is employed to estimate CCC, leveraging the 4SCALE and PROSAIL radiative transfer models to simulate canopy reflectance under varying structural and biochemical conditions. The CCC unit is micrograms per square centimeter (μg/cm²), the scaling factor is 10, meaning that CCC = DN / 10. The invalid data value is -10,000.

Below are the names of the TIFF files for the CCC products from ENVISAT MERIS and Sentinel-3 OLCI. Here, the sensor abbreviations MERIS and S3OLC stand for ENVISAT MERIS and Sentinel-3 OLCI, respectively. The date "20030305" represents the first day of a 7-day interval, formatted as YYYYMMDD. "ESACCI-LC-L3-SR" represents the key information of the input satellite reflectance data. "v3.0" indicates the version number of GVCCC dataset. The GVCCC dataset was first released on the National Earth System Science Data Center (http://wdcrre.data.ac.cn/data/9a006) in 2022, marking its third updated v3.0 version, and it will be released again in 2025.

    CCC-ESACCI-LC-L3-SR-MERIS-500m-P7D-h02v06-20030305-v3.0-MODISTile.tif

    CCC-ESACCI-LC-L3-SR-S3OLC-500m-P7D-h00v09-20190305-v3.0-MODISTile.tif

Dataset Characteristics:

·Spatial Coverage: Global

·Temporal Coverage: 2003-2012, 2018-2020

·Spatial Resolution: 500 m

·Temporal Resolution: 7 day

·Projection: Sinusoidal

·Data Format: tif

·Scale: 0.1

·Valid Range: 0 – 10000

·unit: μg/cm²

Citation (Please cite this paper whenever these data are used):

Sun, Q., Jiao, Q., Liu, L., Liu, X., Qian, X., Zhang, X., Zhang, B. (2021). Improving the retrieval of forest canopy chlorophyll content from MERIS data by introducing the vegetation clumping index. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14(3), 034504.