About the book
Evapotranspiration, which stands for summation of evaporation from the land surface and transpiration from the plants, is one of the key hydrological parameters that play an important role in addressing several water-related problems such as estimating agricultural water consumption, developing water budget, water resources management, and drought monitoring. To date, several empirical relationships are proposed and applied to estimate evapotranspiration based on other hydrological factors such as temperature, wind speed, humidity, etc. All these methods are considered as land-based approaches while using remote sensing techniques for estimating evapotranspiration has attracted a lot of attention in recent years. On the other hand, several studies have been conducted to enhance evapotranspiration modeling techniques. These models are important as they can be coupled with other hydrological models such as rainfall-runoff models, flood forecasting models, and drought prediction models. In this regard, artificial intelligence techniques have attracted a lot of attention due to their strength in mapping associations between inputs and outputs in an intelligent and adaptable way.
This book aims to have an overview of recent advances in estimating, modeling, and applications of evapotranspiration and discuss their impact on the future direction of research on this important hydrological parameter.