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[HTML][HTML] Comparison of spatiotemporal fusion models: A review
Simultaneously capturing spatial and temporal dynamics is always a challenge for the
remote sensing community. Spatiotemporal fusion has gained wide interest in various …
remote sensing community. Spatiotemporal fusion has gained wide interest in various …
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …
[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …
products of various essential environmental variables. While numerous products are …
Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm …
IV Emelyanova, TR McVicar, TG Van Niel, LT Li… - Remote Sensing of …, 2013 - Elsevier
Blending algorithms model land cover change by using highly resolved spatial data from
one sensor and highly resolved temporal data from another. Because the data are not …
one sensor and highly resolved temporal data from another. Because the data are not …
[HTML][HTML] Estimation of global vegetation productivity from global land surface satellite data
T Yu, R Sun, Z **
Satellite images provide important data sources for monitoring flood disasters. However, the
trade-off between spatial and temporal resolutions of current satellite sensors limits their …
trade-off between spatial and temporal resolutions of current satellite sensors limits their …
[HTML][HTML] High spatial resolution vegetation gross primary production product: Algorithm and validation
Vegetation gross primary production (GPP) in terrestrial ecosystems is a key element of the
carbon cycle, and its estimation highly determines the accuracy of carbon budget …
carbon cycle, and its estimation highly determines the accuracy of carbon budget …
Quantifying spatial–temporal pattern of urban heat island in Bei**g: An improved assessment using land surface temperature (LST) time series observations from …
The purpose of this study is to comprehensively quantify the spatial-temporal patterns of
surface urban heat island (SUHI) by investigating the relationship between Land surface …
surface urban heat island (SUHI) by investigating the relationship between Land surface …
[HTML][HTML] An improved image fusion approach based on enhanced spatial and temporal the adaptive reflectance fusion model
High spatiotemporal resolution satellite imagery is useful for natural resource management
and monitoring for land-use and land-cover change and ecosystem dynamics. However …
and monitoring for land-use and land-cover change and ecosystem dynamics. However …
Spatiotemporal fusion modelling using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria
MS Dhillon, T Dahms, C Kübert-Flock… - Remote Sensing, 2022 - mdpi.com
The increasing availability and variety of global satellite products provide a new level of data
with different spatial, temporal, and spectral resolutions; however, identifying the most suited …
with different spatial, temporal, and spectral resolutions; however, identifying the most suited …