東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Validation and reconstruction of rem...

Yu, Wenping.

FindBook

Google Book

Amazon

博客來

Validation and reconstruction of remote sensing land surface temperature products

紀錄類型:	書目-電子資源 : 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.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Earth temperature - Remote sensing. -
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:

3722593
Earth temperature
--Remote sensing.

LC Class. No.: QE509.5

Dewey Class. No.: 551.14

Validation and reconstruction of remote sensing land surface temperature products
LDR:02864nmm a2200325 a 4500 001 2374027
003 DE-He213
005 20240730134758.0
006 m d
007 cr nn 008maaau
008 241231s2024 si s 0 eng d
020 $a 9789819741786 $q (electronic bk.)
020 $a 9789819741779 $q (paper)
024 7 $a 10.1007/978-981-97-4178-6 $2 doi
035 $a 978-981-97-4178-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QE509.5
072 7 $a RGB $2 bicssc
072 7 $a SCI030000 $2 bisacsh
072 7 $a RGB $2 thema
082 0 4 $a 551.14 $2 23
090 $a QE509.5 $b .V172 2024
245 0 0 $a Validation and reconstruction of remote sensing land surface temperature products $h [electronic resource] / $c by Wenping Yu ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a vii, 136 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
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.
650 0 $a Earth temperature $x Remote sensing. $3 3722593
650 0 $a Thermography. $3 719203
650 1 4 $a Physical Geography. $3 893400
650 2 4 $a Environmental Monitoring. $3 770902
650 2 4 $a Water. $3 516619
650 2 4 $a Geographical Information System. $3 3538564
650 2 4 $a Climate Change Ecology. $3 3531344
700 1 $a Yu, Wenping. $3 3722592
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-4178-6
950 $a Earth and Environmental Science (SpringerNature-11646)