53 citations as recorded by crossref.

1. Carbon and water fluxes in two adjacent Australian semi-arid ecosystems T. Tarin et al. 10.1016/j.agrformet.2019.107853
2. Spatiotemporal patterns of the gross primary production in the salt marshes with rapid community change: A coupled modeling approach Z. Ge et al. 10.1016/j.ecolmodel.2015.11.003
3. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves Q. Zhang et al. 10.1016/j.rse.2017.03.012
4. Terrestrial Ecosystem‐Atmosphere Exchange of CO2, Water and Energy from FLUXNET; Review and Meta‐Analysis of a Global in‐situ Observatory A. Oliphant 10.1111/gec3.12009
5. Combining Linear Pixel Unmixing and STARFM for Spatiotemporal Fusion of Gaofen-1 Wide Field of View Imagery and MODIS Imagery J. Cui et al. 10.3390/rs10071047
6. Assimilating multi-source remotely sensed data into a light use efficiency model for net primary productivity estimation Y. Yan et al. 10.1016/j.jag.2018.05.013
7. Comparison of terrestrial evapotranspiration estimates using the mass transfer and Penman‐Monteith equations in land surface models J. Chen et al. 10.1002/2013JG002446
8. Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany M. Dhillon et al. 10.3390/rs12111819
9. An Open Data Approach for Estimating Vegetation Gross Primary Production at Fine Spatial Resolution S. Lin et al. 10.3390/rs14112651
10. Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations S. Metzger 10.1016/j.agrformet.2017.08.037
11. Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015 J. Fang et al. 10.1038/s41597-024-03291-3
12. 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. 10.3390/rs12223773
13. A generalization of spatial and temporal fusion methods for remotely sensed surface parameters H. Zhang et al. 10.1080/01431161.2015.1083633
14. Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes B. Huang & H. Zhang 10.1080/01431161.2014.951097
15. Variability and Changes in Climate, Phenology, and Gross Primary Production of an Alpine Wetland Ecosystem X. Kang et al. 10.3390/rs8050391
16. A dataset of carbon, water and energy fluxes observed in Xishuangbanna tropical seasonal rain forest from 2003 to 2010 D. QI et al. 10.11922/csdata.2020.0037.zh
17. Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale Y. Ran et al. 10.1016/j.agrformet.2016.05.008
18. 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. 10.1109/JSTARS.2015.2513598
19. Modeling light use efficiency in a subtropical mangrove forest equipped with CO<sub>2</sub> eddy covariance J. Barr et al. 10.5194/bg-10-2145-2013
20. 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. 10.1016/j.srs.2022.100075
21. An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model D. Fu et al. 10.3390/rs5126346
22. Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
23. Quantifying the Natural Climate Solution Potential of Agricultural Systems by Combining Eddy Covariance and Remote Sensing S. Wiesner et al. 10.1029/2022JG006895
24. Comparison of Machine Learning Methods to Up-Scale Gross Primary Production T. Yu et al. 10.3390/rs13132448
25. A carbon sink-driven approach to estimate gross primary production from microwave satellite observations I. Teubner et al. 10.1016/j.rse.2019.04.022
26. Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery P. Gottschalk et al. 10.5194/bg-21-3593-2024
27. Spatial extrapolation of light use efficiency model parameters to predict gross primary production J. Horn & K. Schulz 10.1029/2011MS000070
28. Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria M. Dhillon et al. 10.3390/rs14030677
29. 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. 10.1016/j.rse.2013.10.029
30. A data assimilation method for using low-resolution Earth observation data in heterogeneous ecosystems T. Hill et al. 10.1029/2010JD015268
31. 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. 10.1016/j.rse.2013.02.007
32. Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
33. Temporal variations of local traffic CO2 emissions and its relationship with CO2 flux in Beijing, China Y. Li et al. 10.1016/j.trd.2018.10.007
34. Flux footprint climatology estimated by three analytical models over a subtropical coniferous plantation in Southeast China H. Zhang & X. Wen 10.1007/s13351-014-4090-7
35. Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al. 10.1080/01431161.2018.1434326
36. Mapping CO2 fluxes of cypress swamp and marshes in the Greater Everglades using eddy covariance measurements and Landsat data C. Zhang et al. 10.1016/j.rse.2021.112523
37. An observation dataset of carbon and water fluxes of artificial coniferous forests in Qianyanzhou (2003–2010) X. DAI et al. 10.11922/csdata.2020.0036.zh
38. Blending MODIS and Landsat images for urban flood mapping F. Zhang et al. 10.1080/01431161.2014.903351
39. A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions C. Liao et al. 10.3390/rs9111125
40. High spatial resolution vegetation gross primary production product: Algorithm and validation X. Huang et al. 10.1016/j.srs.2022.100049
41. Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data C. Huang et al. 10.3390/rs8080631
42. Applicability Analysis of GF-2PMS and PLANETSCOPE Data for Ground Object Recognition in Karst Region Y. Zhang et al. 10.3390/land12010033
43. Comparison of Spatiotemporal Fusion Models: A Review B. Chen et al. 10.3390/rs70201798
44. Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data T. Yu et al. 10.3390/rs10020327
45. Ability of the Photochemical Reflectance Index to Track Light Use Efficiency for a Sub-Tropical Planted Coniferous Forest Q. Zhang et al. 10.3390/rs71215860
46. An enhanced spatiotemporal fusion method – Implications for coal fire monitoring using satellite imagery R. Ghosh et al. 10.1016/j.jag.2020.102056
47. Assessing carbon storage capacity and saturation across six central US grasslands using data–model integration K. Wilcox et al. 10.5194/bg-20-2707-2023
48. Spatial Representativeness of Eddy Covariance Measurements in a Coniferous Plantation Mixed with Cropland in Southeastern China W. Xiang et al. 10.3390/rs14195022
49. Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data T. Sakamoto et al. 10.1016/j.rse.2011.06.015
50. An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis X. Bai et al. 10.1109/JSTARS.2017.2698444
51. Effect of spatial heterogeneity on the validation of remote sensing based GPP estimations G. Gelybó et al. 10.1016/j.agrformet.2013.02.003
52. Point-to-Grid Conversion in Flux Footprints: Implications of Method Choice and Spatial Resolution for Regional-Scale Studies A. McCombs et al. 10.1007/s10546-019-00455-2
53. Response of evapotranspiration and water availability to changing climate and land cover on the Mongolian Plateau during the 21st century Y. Liu et al. 10.1016/j.gloplacha.2013.06.008