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 …
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 …
Water bodies' mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band
Monitoring open water bodies accurately is an important and basic application in remote
sensing. Various water body mapping approaches have been developed to extract water …
sensing. Various water body mapping approaches have been developed to extract water …
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 …
Deep subpixel mapping based on semantic information modulated network for urban land use mapping
Mixed pixel problem is omnipresent in remote sensing images for urban land use
interpretation due to the hardware limitations. Subpixel mapping (SPM) is a usual way to …
interpretation due to the hardware limitations. Subpixel mapping (SPM) is a usual way to …
Fusion of Landsat 8 OLI and Sentinel-2 MSI data
Sentinel-2 is a wide-swath and fine spatial resolution satellite imaging mission designed for
data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data …
data continuity and enhancement of the Landsat and other missions. The Sentinel-2 data …
Principles and methods of scaling geospatial Earth science data
The properties of geographical phenomena vary with changes in the scale of measurement.
The information observed at one scale often cannot be directly used as information at …
The information observed at one scale often cannot be directly used as information at …
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 …
Effects of grain size and niche breadth on species distribution modeling
Scale is a vital component to consider in ecological research, and spatial resolution or grain
size is one of its key facets. Species distribution models (SDMs) are prime examples of …
size is one of its key facets. Species distribution models (SDMs) are prime examples of …
Improve ground-level PM2. 5 concentration mapping using a random forests-based geostatistical approach
Accurate measurements of ground-level PM 2.5 (particulate matter with aerodynamic
diameters equal to or less than 2.5 μm) concentrations are critically important to human and …
diameters equal to or less than 2.5 μm) concentrations are critically important to human and …