In essence, targeting mineralization necessitates exact structural delineation and thorough
lithological map**. The latter is still a challenge for geologists and its lack hinders …

Hyperspectral imagery plays a vital role in precision agriculture, forestry, environment, and
geological applications. Over the past decade, extensive research has been carried out in …

Grassland ecosystems play a critical role in global carbon cycling and environmental health.
Understanding the intricate link between grassland vegetation traits and underlying soil …

The selection of an optimal dataset is crucial for successful remote sensing analysis. The
PRISMA hyperspectral sensor (with 240 spectral bands) and Landsat OLI-2 (boasting high …

Thoroughly investigating the characteristics of new generation hyperspectral and high
spatial resolution spaceborne sensors will advance the study of agricultural crops …

The efficiency of spectral-based assessments of soil attributes using soil spectral libraries
(SSLs) covering the visible–near-infrared–shortwave-infrared (VNIR–SWIR: 400–2500 nm) …

The effort to map terrestrial biodiversity, in recent years limited mostly to the use of
broadband multispectral remote sensing at decameter scales, can be greatly enhanced by …

Soil, directly or indirectly, impacts seven of the Sustainable Development Goals set by the
United Nations. Soil texture is a fundamental physical property that controls other properties …

This chapter provides a summary of each of the 16 chapters in Volume III of the six-volume
Remote Sensing Handbook (Second Edition). The topics covered in the chapters of Volume …

Hyperspectral sensors provide near-continuous spectral data that can facilitate
advancements in agricultural crop classification and characterization, which are important …