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GEDI : A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau

Wu, Juan ; Ke, Chang Qing ; Cai, Yu LU ; Nourani, Vahid ; Chen, Jun and Duan, Zheng LU (2023) In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16. p.4024-4038
Abstract

Remote sensing is an effective means for lake water level monitoring on the Tibetan Plateau (TP). The purpose of this study is to estimate water levels of lakes on the TP using the Global Ecosystem Dynamics Investigation (GEDI) and Cloud and Land Elevation Satellite-2 (ICESat-2), evaluate the performance of ICESat-2 and GEDI in estimating water levels, and analyze the differences of water level obtained by the two altimeters. The results showed that the average coefficient of determination (R2) values between the estimated water levels (GEDI and ICESat-2) and the datasets (DAHITI and Hydroweb) were greater than 0.80, respectively. The water level of DAHITI and Hydroweb are mainly from radar nadir altimeters. The average root mean square... (More)

Remote sensing is an effective means for lake water level monitoring on the Tibetan Plateau (TP). The purpose of this study is to estimate water levels of lakes on the TP using the Global Ecosystem Dynamics Investigation (GEDI) and Cloud and Land Elevation Satellite-2 (ICESat-2), evaluate the performance of ICESat-2 and GEDI in estimating water levels, and analyze the differences of water level obtained by the two altimeters. The results showed that the average coefficient of determination (R2) values between the estimated water levels (GEDI and ICESat-2) and the datasets (DAHITI and Hydroweb) were greater than 0.80, respectively. The water level of DAHITI and Hydroweb are mainly from radar nadir altimeters. The average root mean square error (RMSE) between GEDI and DAHITI was 0.54 m, between GEDI and Hydroweb was 0.38 m for Qinghai Lake. The average RMSE of Qinghai Lake between ICESat-2 and DAHITI was 0.50 m, and between ICESat-2 and Hydroweb was 0.28 m. The comparison results showed that the accuracy of GEDI seems to be slightly lower than that of ICESate-2. The main impact indicators of the difference between the GEDI and ICESat-2 in lake level estimations were the viewing angles (VAs), solar elevation, air temperature, and wind. From 2019 to 2021, GEDI covered 770 more lakes than ICESat-2, and the lake level fluctuation mainly occurred in the Inner Plateau and Yangtze basins. The GEDI can effectively estimate lake levels, which provides more water levels for lakes and lays a foundation for future research on the TP.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
GEDI, ICESat-2, lake level, Tibetan Plateau
in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
volume
16
pages
15 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85153532828
ISSN
1939-1404
DOI
10.1109/JSTARS.2023.3268558
language
English
LU publication?
yes
id
eb4debaa-0b2b-45c2-a616-716891fc5250
date added to LUP
2023-07-17 12:20:38
date last changed
2023-07-17 12:20:38
@article{eb4debaa-0b2b-45c2-a616-716891fc5250,
  abstract     = {{<p>Remote sensing is an effective means for lake water level monitoring on the Tibetan Plateau (TP). The purpose of this study is to estimate water levels of lakes on the TP using the Global Ecosystem Dynamics Investigation (GEDI) and Cloud and Land Elevation Satellite-2 (ICESat-2), evaluate the performance of ICESat-2 and GEDI in estimating water levels, and analyze the differences of water level obtained by the two altimeters. The results showed that the average coefficient of determination (R2) values between the estimated water levels (GEDI and ICESat-2) and the datasets (DAHITI and Hydroweb) were greater than 0.80, respectively. The water level of DAHITI and Hydroweb are mainly from radar nadir altimeters. The average root mean square error (RMSE) between GEDI and DAHITI was 0.54 m, between GEDI and Hydroweb was 0.38 m for Qinghai Lake. The average RMSE of Qinghai Lake between ICESat-2 and DAHITI was 0.50 m, and between ICESat-2 and Hydroweb was 0.28 m. The comparison results showed that the accuracy of GEDI seems to be slightly lower than that of ICESate-2. The main impact indicators of the difference between the GEDI and ICESat-2 in lake level estimations were the viewing angles (VAs), solar elevation, air temperature, and wind. From 2019 to 2021, GEDI covered 770 more lakes than ICESat-2, and the lake level fluctuation mainly occurred in the Inner Plateau and Yangtze basins. The GEDI can effectively estimate lake levels, which provides more water levels for lakes and lays a foundation for future research on the TP.</p>}},
  author       = {{Wu, Juan and Ke, Chang Qing and Cai, Yu and Nourani, Vahid and Chen, Jun and Duan, Zheng}},
  issn         = {{1939-1404}},
  keywords     = {{GEDI; ICESat-2; lake level; Tibetan Plateau}},
  language     = {{eng}},
  pages        = {{4024--4038}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}},
  title        = {{GEDI : A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau}},
  url          = {{http://dx.doi.org/10.1109/JSTARS.2023.3268558}},
  doi          = {{10.1109/JSTARS.2023.3268558}},
  volume       = {{16}},
  year         = {{2023}},
}