Integrating remote sensing of hydrological processes and dissolved organic carbon fluxes in long-term Lake Studies-Reference-Cited by-同舟云学术

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Integrating remote sensing of hydrological processes and dissolved organic carbon fluxes in long-term Lake Studies

Published:2022-02 Issue: Volume:605 Page:127331
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Li Sijia,Toming Kaire,Nõges Tiina,Kutser Tiit

Funder

Tartu Ülikool

Eesti Maaülikool

Eesti Teadusagentuur

European Regional Development Fund

China Postdoctoral Science Foundation

China Scholarship Council

Haridus- ja Teadusministeerium

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference65 articles.

1. A carbon budget for an oligotrophic clearwater lake in mid-Sweden;Andersson;Aquat. Sci.,2006

2. Soil C: N ratio as a predictor of annual riverine DOC flux at local and global scales;Aitkenhead;Global Biogeochem. Cycles,2000

3. Freshwater methane emissions offset the continental carbon sink;Bastviken;Science,2011

4. Hydrological control of dissolved organic carbon dynamics in a rehabilitated Sphagnum-dominated peatland: a water-table based modelling approach;Bernard-Jannin;Hydrol. Earth Syst. Sci.,2018

5. Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters;Brezonik;Remote Sens. Environ.,2015

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Remote retrieval of dissolved organic carbon in rivers using a hyperspectral drone system;International Journal of Digital Earth;2024-05-28

2. Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications;Remote Sensing;2024-01-25

3. Examining the sensitivity of simulated EnMAP data for estimating chlorophyll-a and total suspended solids in inland waters;Ecological Informatics;2023-07

4. Remote sensing of dissolved organic carbon (DOC) stocks, fluxes and transformations along the land-ocean aquatic continuum: advances, challenges, and opportunities;Earth-Science Reviews;2023-07

5. Multi-Source Remote Sensing Data for Lake Change Detection in Xinjiang, China;Atmosphere;2022-04-29

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