There is an unprecedented array of new satellite technologies with capabilities for
advancing our understanding of ecological processes and the changing composition of the …

In recent years, advancements in machine learning (ML) techniques, in particular, deep
learning (DL) methods have gained a lot of momentum in solving inverse imaging problems …

The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …

Abstract The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming
to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the …

Advances in nanosatellite technology and a declining cost of access to space have fostered
an emergence of large constellations of sensor-equipped satellites in low-Earth orbit. Many …

Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low
spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and …

In evergreen conifers, where the foliage amount changes little with season, accurate
detection of the underlying “photosynthetic phenology” from satellite remote sensing has …

The focus of the current study is to compare data fusion methods applied to sensors with
medium-and high-spatial resolutions. Two documented methods are applied, the spatial and …

Abstract In 2007, the NASA Hyperspectral InfraRed Imager (HyspIRI) mission was
recommended in Earth Science and Applications from Space: National Imperatives for the …

Different forest types based on different tree species composition may have similar spectral
signatures if observed with traditional multispectral satellite sensors. Hyperspectral imagery …