國立虎尾科技大學 |

Validation and reconstruction of remote sensing land surface temperature products

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Validation and reconstruction of remote sensing land surface temperature products/ by Wenping Yu ... [et al.].
其他作者:	Yu, Wenping.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	vii, 136 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Climate Change Ecology. -
電子資源:	https://doi.org/10.1007/978-981-97-4178-6
ISBN:	9789819741786

Validation and reconstruction of remote sensing land surface temperature products
Validation and reconstruction of remote sensing land surface temperature products[electronic resource] /by Wenping Yu ... [et al.]. - Singapore :Springer Nature Singapore :2024. - vii, 136 p. :ill. (chiefly col.), digital ;24 cm.

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.

ISBN: 9789819741786

Standard No.: 10.1007/978-981-97-4178-6doiSubjects--Topical Terms:

1365912
Climate Change Ecology.

LC Class. No.: QE509.5

Dewey Class. No.: 551.14

Validation and reconstruction of remote sensing land surface temperature products
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505 0 $a 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.
520 $a 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.
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