Validation and Reconstruction of Remote Sensing Land Surface Temperature Products

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Synopsis

This book focuses on validation and reconstruction work on the land surface temperature (LST) products retrieved by thermal infrared remote sensing. The LST is a key parameter in the energy-water balance process and has been widely used in research on the global climate change, water cycle, vegetation growing, and drought detection. Remote sensing retrieving LST is the most important source for regional and even global application. However, there are several factors that limited their widespread use: (1) the thermal infrared remote sensing is easily influenced by clouds; therefore, there are lots of pixel with invalid LST; (2) LST products have not been sufficiently validated in global scale. This book arms to overcome above defects and guide the readers to estimate the LST of cloudy pixel and implement the general validation on the remote sensing LST. Furthermore, it helps to understand the scale mismatch between different observation and land surface heterogeneity. The book covers ground-based observation, validation and reconstruction theories, scale mismatch analysis, heterogeneity and representativeness evaluation for observations, and application cases. It is an essential reference to the quantitative retrieval of thermal infrared remote sensing technologies.

 

Book details

Edition:
2024
Author:
Wenping Yu, Yuechen Li, Xujun Han, Lei Fan, Wei Zhou, Mingguo Ma, Weiyu Shi
ISBN:
9789819741786
Related ISBNs:
9789819741779
Publisher:
Springer Nature Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-07-31
Usage restrictions:
Copyright
Copyright date:
2024
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Earth Sciences, Nonfiction, Science