Wenping Yu, Yuechen Li, Xujun Han

Validation and Reconstruction of Remote Sensing Land Surface Temperature Products

• Gebundenes Buch

Produktbeschreibung

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 bookcovers 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.

Produktdetails

• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-4177-9
• 2024
• Seitenzahl: 136
• Erscheinungstermin: August 2024
• Englisch
• Abmessung: 11mm x 155mm x 235mm
• Gewicht: 332g
• ISBN-13: 9789819741779
• Artikelnr.: 70684018

Inhaltsangabe

Overview.- Scale Mismatch Implications for the Validation of Remote Sensing LST Products.- Analysis on the Representation of the Station Observation Based on the Land Surface Spatial Heterogeneity.- Generalized T based Validation of Remote Sensing LST Products According to Land Surface Heterogeneity Analysis on Stations.- Validating Satellite derived LST over Heterogeneous Land Surfaces.- LST Reconstruction on the Remote sensed LST Products under clouds.- All weather land surface temperature estimation from the multiple source fusion.

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Overview.- Scale Mismatch Implications for the Validation of Remote Sensing LST Products.- Analysis on the Representation of the Station Observation Based on the Land Surface Spatial Heterogeneity.- Generalized T based Validation of Remote Sensing LST Products According to Land Surface Heterogeneity Analysis on Stations.- Validating Satellite derived LST over Heterogeneous Land Surfaces.- LST Reconstruction on the Remote sensed LST Products under clouds.- All weather land surface temperature estimation from the multiple source fusion.