Existing Remote Sensing Foundation Models (RSFMs) are primarily designed for RGB optical images, making their architectures unsuitable for spectral images that contain both spatial and spectral ...

Mapping soybean cultivation with high precision is crucial for maximizing agricultural productivity and ensuring food ...

This study proposes a novel zero-watermarking method specifically tailored for hyperspectral remote sensing images, leveraging both spectral and spatial features. First, principal component analysis ...

Mapping soybean cultivation with high precision is crucial for maximizing agricultural productivity and ensuring food security. However, conventional ...

During the course you will be introduced to various software related to remote sensing and GIS. Both commercial and open source software will be used, such as 2D (e.g. satellite spectral data) and 3D ...

We used an in-greenhouse controlled HSI dataset of Kochia leaves in order to classify three different herbicide-resistance levels (herbicide-susceptible, dicamba-resistant, and glyphosate-resistant).

Seagrass meadows are critical marine ecosystems, acting as carbon sinks and providing habitats for diverse marine species.

Researchers engineered bacteria to produce spectral pigments in response to environmental triggers. Using hyperspectral imaging, these responses were detected from 90 meters away.

[2] Lake bottom relief reconstruction and water volume estimation based on the subsidence rate of the post-mining area (Bytom, Southern Poland) ...