Food security is a global challenge that aligns with several Sustainable Development Goals
(SDGs), including SDG 1‐“No Poverty”, SDG 2‐“Zero Hunger,” SDG 3‐“Good Health and …

In‐field soil spectroscopy represents a promising opportunity for fast soil analysis, allowing
the prediction of several soil properties from one spectral reading representing one soil …

The recent availability of satellite hyperspectral imaging combined with the developments in
the classification techniques have paved the way towards improving our ability to obtain …

The relevance of the study is conditioned by importance of problems of desertification of
lands, included in system of providing natural resources for individual states and the whole …

Hyperspectral image analysis offers many contexts where the treatment of second-order
data is mandatory. To mention a few examples, working with sets of related images for …

Summary Advancements in Earth Observation (EO) technologies show huge potential for
systematic and temporal assessment of forest regions. Space‐borne datasets with synoptic …

Remote sensing (RS) has a wide range of applications in forest monitoring at local, regional
as well as global scale in all ecosystems on Earth. Forest monitoring is the foremost …

Kazakhstan has been facing a significant reduction in its renewable freshwater resources
due to various anthropogenic factors (climate change, agricultural practices …

Hyperspectral image enhancement technique collects and processes data obtained from
monochromatic images depicting the reflectance values of a large number of narrow …

The term super-resolution (SR) refers to the applications of enhancing the resolution of an
image from low-resolution (LR) to high-resolution (HR). However, for compression purposes …