Remote Sensing of Energy Fluxes and Moisture Content
Purchasing Options
Features
- Covers a general, but all-inclusive critical overview of the different algorithms and techniques applied today in the estimation of turbulent heat fluxes and surface soil moisture from remote sensing observations
- Uses different remote sensing tools and techniques, and their state of the art practical applications
- Includes many valuable lessons and recommendations on ways to improve global monitoring of ecosystems
- Discuss future trends, prospects and scientific challenges for more accurate estimates of data from space
- Provides case studies from different countries and is written by contributors with a global experience
Summary
Discussing the state-of-the-art in the remote sensing of surface turbulent heat fluxes and soil surface moisture content, this book offers the most up-to-date understanding of the natural processes of earth systems and their interactions with man-made activities. Identifying effective, accurate, and practical methods, it allows researchers to obtain much needed data on the soilscape at decreased cost: both reducing the amount of field data collection and increasing coverage area. An all-inclusive overview of methods and modeling techniques, it provides case studies and considers future trends, prospects, and scientific challenges.
Table of Contents
Physics, Conventional Measurement Methods, Remote Sensing Principles and Sensors: Energy Fluxes and Soil Moisture at the Earth’s Surface: Importance, Physics and Theory. Conventional Approaches and Ground Observational Networks in the Estimation of Surface Heat Fluxes and Soil Moisture Content. Remote Sensing Technology in the Estimation of Energy Fluxes and Soil Moisture Content: Principles, Sensors, Operational Products Available. Surface Energy Fluxes Estimation by Remote Sensing: Algorithms, Techniques, Applications: Surface Energy Fluxes Estimation by Remote Sensing: State-of-the-Art Overview. One-Layer Models in the Estimation of Turbulent Heat Fluxes (i.e.: SEBS, SEBAL, METRIC): A Case-Study. Two-Source Modelling Approaches in the Estimation of Turbulent Heat Fluxes (i.e. Norman et al., 1995, ALEXI/DISALEXI, TSEB): A Case Study. Methods Based on the Use of a Surface Temperature and Fractional Vegetation Cover Scatterplot Domain: A Case Study. Data Assimilation Approaches in the Estimation of Turbulent Heat Fluxes: A Case Study. Soil Surface Moisture Content Estimation by Remote Sensing: Algorithms, Techniques, Applications: Soil Surface Moisture Content Estimation by Remote Sensing: State-of-the-Art Overview. Optical and Thermal Remote Sensing of Surface Soil Moisture: A Case Study. Microwave Remote Sensing Methods of Surface Soil Moisture Content: A Case Study. Data Fusion Methods for the Estimation of Soil Moisture by Remote Sensing: Case Studies.
