Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …
approaches with respect to the various research communities and provides a thorough and …
Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats
Land surface temperature (LST) is an important parameter highly responsive to surface
energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites …
energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites …
Fusion of Sentinel-2 images
Sentinel-2 is a very new programme of the European Space Agency (ESA) that is designed
for fine spatial resolution global monitoring. Sentinel-2 images provide four 10 m bands and …
for fine spatial resolution global monitoring. Sentinel-2 images provide four 10 m bands and …
Downscaling in remote sensing
PM Atkinson - International Journal of Applied Earth Observation and …, 2013 - Elsevier
Downscaling has an important role to play in remote sensing. It allows prediction at a finer
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …
LANDSAT 8 LST Pan sharpening using novel principal component based downscaling model
The panchromatic (PAN) band is accessible at a much higher spatial resolution than the
thermal infrared (TIR) band in remote sensing satellites. To mitigate this issue, current …
thermal infrared (TIR) band in remote sensing satellites. To mitigate this issue, current …
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling
Aerosols have adverse health effects and play a significant role in the climate as well. The
Multiangle Implementation of Atmospheric Correction (MAIAC) provides Aerosol Optical …
Multiangle Implementation of Atmospheric Correction (MAIAC) provides Aerosol Optical …
Downscaling land surface temperature in an arid area by using multiple remote sensing indices with random forest regression
Y Yang, C Cao, X Pan, X Li, X Zhu - Remote Sensing, 2017 - mdpi.com
Many downscaling algorithms have been proposed to address the issue of coarse-
resolution land surface temperature (LST) derived from available satellite-borne sensors …
resolution land surface temperature (LST) derived from available satellite-borne sensors …
Downscaling MODIS images with area-to-point regression kriging
The first seven bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) data
have been used widely for global land-cover/land-use (LCLU) monitoring (eg, deforestation …
have been used widely for global land-cover/land-use (LCLU) monitoring (eg, deforestation …
A review of methods for scaling remotely sensed data for spatial pattern analysis
Context Landscape ecologists have long realized the importance of scale when studying
spatial patterns and the need for a science of scaling. Remotely sensed data, a key …
spatial patterns and the need for a science of scaling. Remotely sensed data, a key …
A novel surface energy balance-based approach to land surface temperature downscaling
Spatial downscaling satellite sensor-derived land surface temperature (LST) is of great
importance for various environmental applications. However, the energy balance at the land …
importance for various environmental applications. However, the energy balance at the land …