This paper provides an overview of the progress made in remote sensing of water resources
in Africa, focusing on various applications such as precipitation estimation, land surface …

Acquiring useful data from agricultural areas has always been somewhat of a challenge, as
these are often expansive, remote, and vulnerable to weather events. Despite these …

The lack of proper understanding of multi-layer soil moisture (SM) profile (signals) remains a
persistent challenge in sustainable agricultural water management and food security …

Passive microwave remote sensing at L-band (1.4 GHz) provides an unprecedented
opportunity to estimate global surface soil moisture (SM) and vegetation water content (via …

The rise of the Internet of Things allowed higher spatial–temporal resolution soil moisture
data captured through in situ sensing. Such abundance of data enables machine learning …

Spatiotemporal image fusion is a potential way to resolve the constraint between the spatial
and temporal resolutions of satellite images and has been developed rapidly in recent …

Climate change (CC) is one of the greatest threats to human health, safety, and the
environment. Given its current and future impacts, numerous studies have employed …

Livestock rearing is a major source of livelihood for food and income in dryland Asia.
Increasing livestock density (LSKD) affects ecosystem structure and function, amplifies the …

Dense time-series high-resolution satellite images are extremely valuable for long-term
monitoring of land dynamics. Spatiotemporal fusion (STF) techniques have been developed …

Drought, as an extreme natural disaster event, can cause or exacerbate water, food, and
national security hazards. However, because of differences in the regional characteristics …