Remote sensing of snow–a review of available methods
The use of satellite remote sensing for the map** of snow-cover characteristics has a long-
lasting history reaching back until the 1960s. Because snow cover plays an important role in …
lasting history reaching back until the 1960s. Because snow cover plays an important role in …
A large-scale benchmark data set for evaluating pansharpening performance: Overview and implementation
Pansharpening aims to sharpen a lowspatial-resolution (LR) multispectral (MS) image using
a high-spatial-resolution (HR) panchromatic (Pan) image to obtain the HR MS image. It has …
a high-spatial-resolution (HR) panchromatic (Pan) image to obtain the HR MS image. It has …
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands,
acquired at three different spatial resolutions. The aim of this research is to super-resolve the …
acquired at three different spatial resolutions. The aim of this research is to super-resolve the …
Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
In this paper, the development of pansharpening methods from traditional understanding to
the current understanding is comprehensively reviewed. Furthermore, the performance of …
the current understanding is comprehensively reviewed. Furthermore, the performance of …
Theia Snow collection: High-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data
The Theia Snow collection routinely provides high-resolution maps of the snow-covered
area from Sentinel-2 and Landsat-8 observations. The collection covers selected areas …
area from Sentinel-2 and Landsat-8 observations. The collection covers selected areas …
Full scale regression-based injection coefficients for panchromatic sharpening
Pansharpening is usually related to the fusion of a high spatial resolution but low spectral
resolution (panchromatic) image with a high spectral resolution but low spatial resolution …
resolution (panchromatic) image with a high spectral resolution but low spatial resolution …
Generative dual-adversarial network with spectral fidelity and spatial enhancement for hyperspectral pansharpening
Hyperspectral (HS) pansharpening is of great importance in improving the spatial resolution
of HS images for remote sensing tasks. HS image comprises abundant spectral contents …
of HS images for remote sensing tasks. HS image comprises abundant spectral contents …
[책][B] Remote sensing image fusion
A synthesis of more than ten years of experience, this book covers methods specifically
designed for remote sensing imagery. The authors supply a comprehensive classification …
designed for remote sensing imagery. The authors supply a comprehensive classification …
A snow cover climatology for the Pyrenees from MODIS snow products
The seasonal snow in the Pyrenees is critical for hydropower production, crop irrigation and
tourism in France, Spain and Andorra. Complementary to in situ observations, satellite …
tourism in France, Spain and Andorra. Complementary to in situ observations, satellite …
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 …