Articles | Volume 10, issue 7
https://doi.org/10.5194/bg-10-4879-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-4879-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effects of vegetation heterogeneity and surface topography on spatial scaling of net primary productivity
J. M. Chen
International Institute of Earth System Science, Nanjing University, Nanjing, Jiangsu 210093, China
Department of Geography, University of Toronto, Ontario M5S 3G3, Canada
X. Chen
College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China
W. Ju
Department of Geography, University of Toronto, Ontario M5S 3G3, Canada
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39 citations as recorded by crossref.
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- Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region J. He et al. 10.1080/10095020.2024.2362754
- Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites J. Assmann et al. 10.1088/1748-9326/abbf7d
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- Development of a topographic-corrected temperature and greenness model (TG) for improving GPP estimation over mountainous areas X. Xie & A. Li 10.1016/j.agrformet.2020.108193
- Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin . Gaofei Yin et al. 10.1109/LGRS.2014.2341925
- TCNIRv: Topographically Corrected Near-Infrared Reflectance of Vegetation for Tracking Gross Primary Production Over Mountainous Areas R. Chen et al. 10.1109/TGRS.2022.3149655
- Spatiotemporal Distribution and Influencing Factors of the Net Primary Productivity in the Datai Mine in Western Beijing L. Dai et al. 10.3390/su142315567
- Scale-dependency of Arctic ecosystem properties revealed by UAV M. Siewert & J. Olofsson 10.1088/1748-9326/aba20b
- Machine learning and global vegetation: random forests for downscaling and gap filling B. van Jaarsveld et al. 10.5194/hess-28-2357-2024
- Plant–soil microbial diversity and structural attributes jointly dominate the multifunctionality of the temperate forest Y. Che & G. Jin 10.1016/j.ecolind.2024.112282
- A practical topographic correction method for improving Moderate Resolution Imaging Spectroradiometer gross primary productivity estimation over mountainous areas X. Xie et al. 10.1016/j.jag.2021.102522
- A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021 F. Yang et al. 10.1109/JSTARS.2023.3312518
- Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations H. Saremi et al. 10.1007/s13595-014-0374-4
- Spatial Downscaling of Gross Primary Productivity Using Topographic and Vegetation Heterogeneity Information: A Case Study in the Gongga Mountain Region of China X. Xie et al. 10.3390/rs10040647
- Spatial Scaling of Forest Aboveground Biomass Using Multi-Source Remote Sensing Data X. Wang & H. Jiao 10.1109/ACCESS.2020.3027361
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- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
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- Effects of urban green spaces landscape pattern on carbon sink among urban ecological function areas at the appropriate scale: A case study in Xi’an N. Shi et al. 10.1016/j.ecolind.2023.111427
- Responses of Grassland Net Primary Productivity to Environmental Variables in Northern China L. Fang et al. 10.5814/j.issn.1674-764X.2016.02.003
- Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale X. Xie et al. 10.1016/j.jag.2022.102755
- A two-level parallelization method for distributed hydrological models J. Liu et al. 10.1016/j.envsoft.2016.02.032
- Spatiotemporal patterns and drivers of net primary production in the terrestrial ecosystem of the Dajiuhu Basin, China, between 1990 and 2018 L. Zhang et al. 10.1016/j.ecoinf.2022.101839
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- An improved instantaneous gross primary productivity model considering the difference in contributions of sunlit and shaded leaves to canopy sun-induced chlorophyll fluorescence X. Wang et al. 10.1016/j.gloplacha.2024.104627
- How is the performance of satellite-based product suites in monitoring long-term dynamics of vegetation photosynthesis over global mountainous areas? X. Xie & A. Li 10.1016/j.jag.2023.103325
- RETRACTED: Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China M. Zhang et al. 10.3390/rs11020133
- Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity X. Xie & A. Li 10.1080/10095020.2023.2265149
- Field‐Based Estimation of Net Primary Productivity and Its Above‐ and Belowground Partitioning in Global Grasslands Y. Sun et al. 10.1029/2021JG006472
- Spatial Scaling of Gross Primary Productivity Over Sixteen Mountainous Watersheds Using Vegetation Heterogeneity and Surface Topography X. Xie et al. 10.1029/2020JG005848
- Extracting subpixel vegetation NDVI time series for evaluating the mixed pixel effect on GPP estimation in urban areas S. Li et al. 10.1080/17538947.2023.2246945
- The impact of seasonal rainfall variability on NDVI in the Tunga and Bhadra river basins, Karnataka, India V. Nischitha et al. 10.1080/01431161.2014.979301
38 citations as recorded by crossref.
- The Interplay between Canopy Structure and Topography and Its Impacts on Seasonal Variations in Surface Reflectance Patterns in the Boreal Region of Alaska—Implications for Surface Radiation Budget B. Nath & W. Ni-Meister 10.3390/rs13163108
- Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region J. He et al. 10.1080/10095020.2024.2362754
- Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites J. Assmann et al. 10.1088/1748-9326/abbf7d
- Effects of Topography and Social Position on the Solar Radiation of Individual Trees on a Hillslope in Northwest China J. Li et al. 10.3390/f14030561
- Topography intensifies variations in the effect of human activities on forest NPP across altitude and slope gradients S. Chen et al. 10.1016/j.envdev.2023.100826
- Development of a topographic-corrected temperature and greenness model (TG) for improving GPP estimation over mountainous areas X. Xie & A. Li 10.1016/j.agrformet.2020.108193
- Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin . Gaofei Yin et al. 10.1109/LGRS.2014.2341925
- TCNIRv: Topographically Corrected Near-Infrared Reflectance of Vegetation for Tracking Gross Primary Production Over Mountainous Areas R. Chen et al. 10.1109/TGRS.2022.3149655
- Spatiotemporal Distribution and Influencing Factors of the Net Primary Productivity in the Datai Mine in Western Beijing L. Dai et al. 10.3390/su142315567
- Scale-dependency of Arctic ecosystem properties revealed by UAV M. Siewert & J. Olofsson 10.1088/1748-9326/aba20b
- Machine learning and global vegetation: random forests for downscaling and gap filling B. van Jaarsveld et al. 10.5194/hess-28-2357-2024
- Plant–soil microbial diversity and structural attributes jointly dominate the multifunctionality of the temperate forest Y. Che & G. Jin 10.1016/j.ecolind.2024.112282
- A practical topographic correction method for improving Moderate Resolution Imaging Spectroradiometer gross primary productivity estimation over mountainous areas X. Xie et al. 10.1016/j.jag.2021.102522
- A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021 F. Yang et al. 10.1109/JSTARS.2023.3312518
- Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations H. Saremi et al. 10.1007/s13595-014-0374-4
- Spatial Downscaling of Gross Primary Productivity Using Topographic and Vegetation Heterogeneity Information: A Case Study in the Gongga Mountain Region of China X. Xie et al. 10.3390/rs10040647
- Spatial Scaling of Forest Aboveground Biomass Using Multi-Source Remote Sensing Data X. Wang & H. Jiao 10.1109/ACCESS.2020.3027361
- An Improved Physics-Based Model for Topographic Correction of Landsat TM Images A. Li et al. 10.3390/rs70506296
- A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the combination of linear and non-linear downscaling processes X. Xie et al. 10.1016/j.jhydrol.2022.128833
- Comparing Three Remotely Sensed Approaches for Simulating Gross Primary Productivity over Mountainous Watersheds: A Case Study in the Wanglang National Nature Reserve, China X. Xie et al. 10.3390/rs13183567
- Assessment of flow characteristics through a grassed canal M. Gad et al. 10.1007/s41062-021-00716-5
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
- Analysis of the Land Surface Temperature Scaling Problem: A Case Study of Airborne and Satellite Data over the Heihe Basin T. Hu et al. 10.3390/rs70506489
- Effects of urban green spaces landscape pattern on carbon sink among urban ecological function areas at the appropriate scale: A case study in Xi’an N. Shi et al. 10.1016/j.ecolind.2023.111427
- Responses of Grassland Net Primary Productivity to Environmental Variables in Northern China L. Fang et al. 10.5814/j.issn.1674-764X.2016.02.003
- Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale X. Xie et al. 10.1016/j.jag.2022.102755
- A two-level parallelization method for distributed hydrological models J. Liu et al. 10.1016/j.envsoft.2016.02.032
- Spatiotemporal patterns and drivers of net primary production in the terrestrial ecosystem of the Dajiuhu Basin, China, between 1990 and 2018 L. Zhang et al. 10.1016/j.ecoinf.2022.101839
- A Practical Algorithm for Correcting Topographical Effects on Global GPP Products X. Xie et al. 10.1029/2023JG007553
- TAVIs: Topographically Adjusted Vegetation Index for a Reliable Proxy of Gross Primary Productivity in Mountain Ecosystems X. Xie et al. 10.1109/TGRS.2023.3336727
- Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review C. Matyukira & P. Mhangara 10.1080/22797254.2024.2422330
- An improved instantaneous gross primary productivity model considering the difference in contributions of sunlit and shaded leaves to canopy sun-induced chlorophyll fluorescence X. Wang et al. 10.1016/j.gloplacha.2024.104627
- How is the performance of satellite-based product suites in monitoring long-term dynamics of vegetation photosynthesis over global mountainous areas? X. Xie & A. Li 10.1016/j.jag.2023.103325
- RETRACTED: Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China M. Zhang et al. 10.3390/rs11020133
- Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity X. Xie & A. Li 10.1080/10095020.2023.2265149
- Field‐Based Estimation of Net Primary Productivity and Its Above‐ and Belowground Partitioning in Global Grasslands Y. Sun et al. 10.1029/2021JG006472
- Spatial Scaling of Gross Primary Productivity Over Sixteen Mountainous Watersheds Using Vegetation Heterogeneity and Surface Topography X. Xie et al. 10.1029/2020JG005848
- Extracting subpixel vegetation NDVI time series for evaluating the mixed pixel effect on GPP estimation in urban areas S. Li et al. 10.1080/17538947.2023.2246945
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