04516nam a22006495i 4500 978-981-97-4178-6 DE-He213 20251030112700.0 cr nn 008mamaa 240730s2024 si | s |||| 0|eng d 9789819741786 978-981-97-4178-6 10.1007/978-981-97-4178-6 doi GB3-5030 RGB bicssc SCI030000 bisacsh RGB thema Yu, Wenping. author. aut http://id.loc.gov/vocabulary/relators/aut 81577 Validation and Reconstruction of Remote Sensing Land Surface Temperature Products [electronic resource] / by Wenping Yu, Yuechen Li, Xujun Han, Lei Fan, Wei Zhou, Mingguo Ma, Weiyu Shi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VII, 136 p. 46 illus., 42 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. Physical geography. 66716 Environmental monitoring. Water. 65998 Hydrology. 65999 Geographic information systems. 61967 Bioclimatology. 68090 Physical Geography. 66716 Environmental Monitoring. Water. 65998 Geographical Information System. 66422 Climate Change Ecology. 68092 Li, Yuechen. author. aut http://id.loc.gov/vocabulary/relators/aut 81578 Han, Xujun. author. aut http://id.loc.gov/vocabulary/relators/aut 81579 Fan, Lei. author. aut http://id.loc.gov/vocabulary/relators/aut 81580 Zhou, Wei. author. aut http://id.loc.gov/vocabulary/relators/aut 81581 Ma, Mingguo. author. aut http://id.loc.gov/vocabulary/relators/aut 81582 Shi, Weiyu. author. aut http://id.loc.gov/vocabulary/relators/aut 81583 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819741779 Printed edition: 9789819741793 Printed edition: 9789819741809 https://doi.org/10.1007/978-981-97-4178-6 ZDB-2-EES ZDB-2-SXEE 62065 62065