Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …

With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …

Oil seed crops, especially oil palm, are among the most rapidly expanding agricultural land
uses, and their expansion is known to cause significant environmental damage. Accordingly …

It is important to conduct grassland resource surveys for the scientific management of
grassland resources. Currently, remote sensing technology is widely used to classify land …

Palm oil is a renewable resource that has the potential to replace fossil fuel and
petrochemical for a better sustainable system. However, there is room for improvement in …

Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …

Modelling urban land use change is of profound concern to environmental scientists who
have found cellular automata models very attractive for simulating urban dynamics. The …

Abstract Study Region Johor River Basin (JRB), Malaysia. Study Focus The study generates
long time-series land use and land cover (LULC) change at 5-years interval using Google …