Pan-sharpening is the process of fusing higher spatial resolution panchromatic (PAN) with lower spatial resolution multispectral (MS) imagery to create higher spatial resolution MS images. Here, our overall objective was to pan-sharpen Landsat-8 images and calculate vegetation greenness (i.e., normalized difference vegetation index (NDVI)), canopy structure (i.e., enhanced vegetation index (EVI)), and canopy water content (i.e., normalized difference water index (NDWI))-related variables. Our proposed methods consisted of: (i) evaluating the relationships between PAN band (0.503–0.676 µm) with a spatial resolution of 15 m and individual MS bands of Landsat-8 from blue (i.e., acquiring in the range 0.452–0.512 µm), green (i.e., 0.533–0.590 µ...
ABSTRACT: This study proposes a framework for simulating pan-sharpening using hyperspectral data in ...
In remote sensing, images acquired by various earth observation satellites tend to have either a hig...
A method for spatial resolution enhancement, or sharpening of three bands of a Landsat thematic mapp...
This study evaluated the effects of image pansharpening on Vegetation Indices (VIs), and found that ...
International audienceNowadays, there are several satellites bearing sensors to provide images from ...
Expansion of woody vegetation has adverse effects on ecosystem services, and thus it is desirable to...
International audienceIn vegetation change monitoring and urban planning, the measurement and mappin...
Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpret...
The NDVI (Normalized Difference Vegetation Index) requires red and infrared remotely sensed images ...
Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the sp...
In recent decades, there has been a decline in ecosystem services. Thus, the development of reliable...
Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution m...
A considerable number of methods for pansharpening remote-sensing images have been developed to gene...
Recently two optical remote sensing satellites, RASAT and GÖKTÜRK-2, launched successfully by the Re...
Recent remote sensing applications require sensors that provide both high spatial and spectral resol...
ABSTRACT: This study proposes a framework for simulating pan-sharpening using hyperspectral data in ...
In remote sensing, images acquired by various earth observation satellites tend to have either a hig...
A method for spatial resolution enhancement, or sharpening of three bands of a Landsat thematic mapp...
This study evaluated the effects of image pansharpening on Vegetation Indices (VIs), and found that ...
International audienceNowadays, there are several satellites bearing sensors to provide images from ...
Expansion of woody vegetation has adverse effects on ecosystem services, and thus it is desirable to...
International audienceIn vegetation change monitoring and urban planning, the measurement and mappin...
Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpret...
The NDVI (Normalized Difference Vegetation Index) requires red and infrared remotely sensed images ...
Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the sp...
In recent decades, there has been a decline in ecosystem services. Thus, the development of reliable...
Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution m...
A considerable number of methods for pansharpening remote-sensing images have been developed to gene...
Recently two optical remote sensing satellites, RASAT and GÖKTÜRK-2, launched successfully by the Re...
Recent remote sensing applications require sensors that provide both high spatial and spectral resol...
ABSTRACT: This study proposes a framework for simulating pan-sharpening using hyperspectral data in ...
In remote sensing, images acquired by various earth observation satellites tend to have either a hig...
A method for spatial resolution enhancement, or sharpening of three bands of a Landsat thematic mapp...