In the era of water scarcity and severe droughts, the accurate estimation of
evapotranspiration (ET) is crucial for the efficient management of water resources …

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 …

A wide range of methods for analysis of airborne-and satellite-derived imagery continues to
be proposed and assessed. In this paper, we review remote sensing implementations of …

The study investigates the accuracy of wavelet and support vector machine conjunction
model in monthly streamflow forecasting. The conjunction method is obtained by combining …

Context Landscape ecologists have long realized the importance of scale when studying
spatial patterns and the need for a science of scaling. Remotely sensed data, a key …

The properties of geographical phenomena vary with changes in the scale of measurement.
The information observed at one scale often cannot be directly used as information at …

Remote sensing retrieval of evapotranspiration (ET), or surface latent heat exchange (LE), is
of great utility for many applications. Machine learning (ML) methods have been extensively …

This paper investigates the ability of least square support vector regression (LSSVR) and
adaptive neuro-fuzzy embedded fuzzy c-means clustering (ANFIS-FCM) in forecasting and …

High-resolution daily evapotranspiration (ET) maps would greatly improve irrigation
management. Numerous ET map** algorithms have been developed to make use of …

Floods are the most frequent type of natural disaster. It destroys wildlife habitat, damages
bridges, railways, roads, properties, and puts millions of people at risk. As such, flood …