The Global Surface Area Variations of Lakes and Reservoirs as Seen From Satellite Remote Sensing-Reference-Cited by-同舟云学术

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The Global Surface Area Variations of Lakes and Reservoirs as Seen From Satellite Remote Sensing

Published:2022-08-04 Issue:15 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Bonnema Matthew¹^ORCID,David Cédric H.¹^ORCID,Frasson Renato Prata de Moraes¹^ORCID,Oaida Catalina¹^ORCID,Yun Sang‐Ho²³⁴^ORCID

Affiliation:

1. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

2. Earth Observatory of Singapore Nanyang Technological University Singapore Singapore

3. Asian School of the Environment Nanyang Technological University Singapore Singapore

4. School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL098987

Reference58 articles.

1. Freshwater Ecoregions of the World: A New Map of Biogeographic Units for Freshwater Biodiversity Conservation

2. On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model

3. Methane emissions from lakes: Dependence of lake characteristics, two regional assessments, and a global estimate

4. Freshwater Methane Emissions Offset the Continental Carbon Sink

5. The SWOT Mission and Its Capabilities for Land Hydrology

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1. Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution earth observation time series;Journal of Hydroinformatics;2024-08-29

2. Monthly Monitoring of Inundated Areas and Water Storage Dynamics in China's Large Reservoirs Using Multisource Remote Sensing;Water Resources Research;2024-08

3. Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy;Journal of Hydrology;2024-08

4. Spatiotemporal Variation, Meteorological Driving Factors, and Statistical Models Study of Lake Surface Area in the Yellow River Basin;Water;2024-05-16

5. Multi-factor weighted image fusion method for high spatiotemporal tracking of reservoir drawdown area and its vegetation dynamics;International Journal of Applied Earth Observation and Geoinformation;2024-05

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