Articles | Volume 7, issue 9
https://doi.org/10.5194/bg-7-2943-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-7-2943-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling
B. Chen
Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Q. Ge
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
D. Fu
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
G. Yu
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
X. Sun
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
S. Wang
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
H. Wang
LREIS Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Viewed
Total article views: 5,332 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 01 Dec 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,414 | 2,716 | 202 | 5,332 | 179 | 175 |
- HTML: 2,414
- PDF: 2,716
- XML: 202
- Total: 5,332
- BibTeX: 179
- EndNote: 175
Total article views: 4,422 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Sep 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,099 | 2,141 | 182 | 4,422 | 161 | 173 |
- HTML: 2,099
- PDF: 2,141
- XML: 182
- Total: 4,422
- BibTeX: 161
- EndNote: 173
Total article views: 910 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 01 Dec 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 315 | 575 | 20 | 910 | 18 | 2 |
- HTML: 315
- PDF: 575
- XML: 20
- Total: 910
- BibTeX: 18
- EndNote: 2
Cited
52 citations as recorded by crossref.
- Flux Footprints: A Critical Link to Bridge Eddy‐Covariance Measurements With Models, Remote Sensing, and Other Observations H. Chu et al.
- Carbon and water fluxes in two adjacent Australian semi-arid ecosystems T. Tarin et al.
- Refinement of gross dry matter productivity (GDMP) product from Copernicus Land Monitoring Service (CLMS): An ecophysiological assessment of Mediterranean Evergreen forests W. Chebbi et al.
- Spatiotemporal patterns of the gross primary production in the salt marshes with rapid community change: A coupled modeling approach Z. Ge et al.
- Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves Q. Zhang et al.
- Terrestrial Ecosystem‐Atmosphere Exchange of CO2, Water and Energy from FLUXNET; Review and Meta‐Analysis of a Global in‐situ Observatory A. Oliphant
- Combining Linear Pixel Unmixing and STARFM for Spatiotemporal Fusion of Gaofen-1 Wide Field of View Imagery and MODIS Imagery J. Cui et al.
- Assimilating multi-source remotely sensed data into a light use efficiency model for net primary productivity estimation Y. Yan et al.
- Comparison of terrestrial evapotranspiration estimates using the mass transfer and Penman‐Monteith equations in land surface models J. Chen et al.
- Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany M. Dhillon et al.
- An Open Data Approach for Estimating Vegetation Gross Primary Production at Fine Spatial Resolution S. Lin et al.
- Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations S. Metzger
- Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015 J. Fang et al.
- Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model R. Raj et al.
- A generalization of spatial and temporal fusion methods for remotely sensed surface parameters H. Zhang et al.
- Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes B. Huang & H. Zhang
- Variability and Changes in Climate, Phenology, and Gross Primary Production of an Alpine Wetland Ecosystem X. Kang et al.
- A dataset of carbon, water and energy fluxes observed in Xishuangbanna tropical seasonal rain forest from 2003 to 2010 D. QI et al.
- Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale Y. Ran et al.
- A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022 Q. Xu et al.
- Quantifying Spatial–Temporal Pattern of Urban Heat Island in Beijing: An Improved Assessment Using Land Surface Temperature (LST) Time Series Observations From LANDSAT, MODIS, and Chinese New Satellite GaoFen-1 K. Liu et al.
- Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance J. Barr et al.
- Estimating local-scale forest GPP in Northern Europe using Sentinel-2: Model comparisons with LUE, APAR, the plant phenology index, and a light response function S. Junttila et al.
- An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model D. Fu et al.
- Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al.
- Quantifying the Natural Climate Solution Potential of Agricultural Systems by Combining Eddy Covariance and Remote Sensing S. Wiesner et al.
- Comparison of Machine Learning Methods to Up-Scale Gross Primary Production T. Yu et al.
- A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al.
- Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery P. Gottschalk et al.
- Spatial extrapolation of light use efficiency model parameters to predict gross primary production J. Horn & K. Schulz
- Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria M. Dhillon et al.
- Estimating landscape net ecosystem exchange at high spatial–temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements D. Fu et al.
- A data assimilation method for using low-resolution Earth observation data in heterogeneous ecosystems T. Hill et al.
- Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection I. Emelyanova et al.
- Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al.
- Temporal variations of local traffic CO2 emissions and its relationship with CO2 flux in Beijing, China Y. Li et al.
- Flux footprint climatology estimated by three analytical models over a subtropical coniferous plantation in Southeast China H. Zhang & X. Wen
- Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al.
- Elevation dependence of vegetation growth stages and carbon sequestration dynamics in high mountain ecosystems Y. Sun et al.
- Mapping CO2 fluxes of cypress swamp and marshes in the Greater Everglades using eddy covariance measurements and Landsat data C. Zhang et al.
- An observation dataset of carbon and water fluxes of artificial coniferous forests in Qianyanzhou (2003–2010) X. DAI et al.
- Blending MODIS and Landsat images for urban flood mapping F. Zhang et al.
- A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions C. Liao et al.
- High spatial resolution vegetation gross primary production product: Algorithm and validation X. Huang et al.
- Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data C. Huang et al.
- Applicability Analysis of GF-2PMS and PLANETSCOPE Data for Ground Object Recognition in Karst Region Y. Zhang et al.
- Comparison of Spatiotemporal Fusion Models: A Review B. Chen et al.
- Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data T. Yu et al.
- Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest Q. Zhang et al.
- An enhanced spatiotemporal fusion method – Implications for coal fire monitoring using satellite imagery R. Ghosh et al.
- Assessing carbon storage capacity and saturation across six central US grasslands using data–model integration K. Wilcox et al.
- Spatial Representativeness of Eddy Covariance Measurements in a Coniferous Plantation Mixed with Cropland in Southeastern China W. Xiang et al.
52 citations as recorded by crossref.
- Flux Footprints: A Critical Link to Bridge Eddy‐Covariance Measurements With Models, Remote Sensing, and Other Observations H. Chu et al.
- Carbon and water fluxes in two adjacent Australian semi-arid ecosystems T. Tarin et al.
- Refinement of gross dry matter productivity (GDMP) product from Copernicus Land Monitoring Service (CLMS): An ecophysiological assessment of Mediterranean Evergreen forests W. Chebbi et al.
- Spatiotemporal patterns of the gross primary production in the salt marshes with rapid community change: A coupled modeling approach Z. Ge et al.
- Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves Q. Zhang et al.
- Terrestrial Ecosystem‐Atmosphere Exchange of CO2, Water and Energy from FLUXNET; Review and Meta‐Analysis of a Global in‐situ Observatory A. Oliphant
- Combining Linear Pixel Unmixing and STARFM for Spatiotemporal Fusion of Gaofen-1 Wide Field of View Imagery and MODIS Imagery J. Cui et al.
- Assimilating multi-source remotely sensed data into a light use efficiency model for net primary productivity estimation Y. Yan et al.
- Comparison of terrestrial evapotranspiration estimates using the mass transfer and Penman‐Monteith equations in land surface models J. Chen et al.
- Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany M. Dhillon et al.
- An Open Data Approach for Estimating Vegetation Gross Primary Production at Fine Spatial Resolution S. Lin et al.
- Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations S. Metzger
- Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015 J. Fang et al.
- Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model R. Raj et al.
- A generalization of spatial and temporal fusion methods for remotely sensed surface parameters H. Zhang et al.
- Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes B. Huang & H. Zhang
- Variability and Changes in Climate, Phenology, and Gross Primary Production of an Alpine Wetland Ecosystem X. Kang et al.
- A dataset of carbon, water and energy fluxes observed in Xishuangbanna tropical seasonal rain forest from 2003 to 2010 D. QI et al.
- Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale Y. Ran et al.
- A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022 Q. Xu et al.
- Quantifying Spatial–Temporal Pattern of Urban Heat Island in Beijing: An Improved Assessment Using Land Surface Temperature (LST) Time Series Observations From LANDSAT, MODIS, and Chinese New Satellite GaoFen-1 K. Liu et al.
- Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance J. Barr et al.
- Estimating local-scale forest GPP in Northern Europe using Sentinel-2: Model comparisons with LUE, APAR, the plant phenology index, and a light response function S. Junttila et al.
- An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model D. Fu et al.
- Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al.
- Quantifying the Natural Climate Solution Potential of Agricultural Systems by Combining Eddy Covariance and Remote Sensing S. Wiesner et al.
- Comparison of Machine Learning Methods to Up-Scale Gross Primary Production T. Yu et al.
- A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al.
- Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery P. Gottschalk et al.
- Spatial extrapolation of light use efficiency model parameters to predict gross primary production J. Horn & K. Schulz
- Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria M. Dhillon et al.
- Estimating landscape net ecosystem exchange at high spatial–temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements D. Fu et al.
- A data assimilation method for using low-resolution Earth observation data in heterogeneous ecosystems T. Hill et al.
- Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection I. Emelyanova et al.
- Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al.
- Temporal variations of local traffic CO2 emissions and its relationship with CO2 flux in Beijing, China Y. Li et al.
- Flux footprint climatology estimated by three analytical models over a subtropical coniferous plantation in Southeast China H. Zhang & X. Wen
- Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al.
- Elevation dependence of vegetation growth stages and carbon sequestration dynamics in high mountain ecosystems Y. Sun et al.
- Mapping CO2 fluxes of cypress swamp and marshes in the Greater Everglades using eddy covariance measurements and Landsat data C. Zhang et al.
- An observation dataset of carbon and water fluxes of artificial coniferous forests in Qianyanzhou (2003–2010) X. DAI et al.
- Blending MODIS and Landsat images for urban flood mapping F. Zhang et al.
- A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions C. Liao et al.
- High spatial resolution vegetation gross primary production product: Algorithm and validation X. Huang et al.
- Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data C. Huang et al.
- Applicability Analysis of GF-2PMS and PLANETSCOPE Data for Ground Object Recognition in Karst Region Y. Zhang et al.
- Comparison of Spatiotemporal Fusion Models: A Review B. Chen et al.
- Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data T. Yu et al.
- Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest Q. Zhang et al.
- An enhanced spatiotemporal fusion method – Implications for coal fire monitoring using satellite imagery R. Ghosh et al.
- Assessing carbon storage capacity and saturation across six central US grasslands using data–model integration K. Wilcox et al.
- Spatial Representativeness of Eddy Covariance Measurements in a Coniferous Plantation Mixed with Cropland in Southeastern China W. Xiang et al.
Saved (final revised paper)
Latest update: 29 Apr 2026
Special issue
Altmetrics
Final-revised paper
Preprint