The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

This study reports a comprehensive review on drought indices used in monitoring
meteorological, agricultural, hydrological, and socio-economic drought. Drought indices …

Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

Correct estimation of above-ground biomass (AGB) is necessary for accurate crop growth
monitoring and yield prediction. We estimated AGB based on images obtained with a …

In order to meet the demand for increased global food production under limited water
resources, implementation of suitable irrigation scheduling technique is crucial, particularly …

As an important parameter in recent and numerous environmental studies, soil moisture
(SM) influences the exchange of water and energy at the interface between the land surface …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

Although primarily valued for their suitability for oceanographic applications and soil
moisture estimation, microwave remote sensing observations are also sensitive to plant …

Abstract Three-dimensional (3D) radiative transfer modeling of the transport and interaction
of radiation through earth surfaces is challenging due to the complexity of the landscapes as …