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Application of Satellite Remote Sensing in Lakes Environment Monitoring
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Application of Satellite Remote Sensing in Lakes Environment Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 5436

Special Issue Editors

Prof. Dr. Binbin Wang

E-Mail Website
Guest Editor
1. Land-Atmosphere Interaction and Its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Interests: the observation, simulation and satellite application of lake processes; the regional climate effects of high-elevation lakes
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaolong Yu

E-Mail Website
Co-Guest Editor
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361101, China
Interests: applications of ocean color remote sensing; biogeochemical cycles; climate change

Special Issue Information

Dear Colleagues,

Under global climate warming, the majority of the lakes show an increase in areas and volume because of the increased precipitation and glacier meltwater. Thus, it is important to monitor these high-elevation lakes by a combination of in situ measurements, satellite data and numerical simulations. Here, under the altitude-enhanced warming, all the related research focusing on lake surface temperature (LST), water temperature profiles, lake heat storage, ice phenology, lake evaporation and sublimation, lake turbidity and transparency, lake color, and lake hydrological and biogeochemical cycles are welcomed.

This Special Issue is dedicated to highlighting the new advancement for high-elevation lake monitoring research by all kinds of satellite data with visible, thermal and microwave bands.

Prof. Dr. Binbin Wang
Dr. Xiaolong Yu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lake evaporation
  • lake ice sublimation
  • lake ice phenology
  • lake surface temperature
  • lake heat storage
  • lake turbidity and transparency
  • lake color
  • satellite data

Published Papers (3 papers)

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Research

20 pages, 9434 KiB  
Article
Spatial and Temporal Analysis of Water Quality in High Andean Lakes with Sentinel-2 Satellite Automatic Water Products
by Johanna Elizabeth Ayala Izurieta, Andrés Agustín Beltrán Dávalos, Carlos Arturo Jara Santillán, Sofía Carolina Godoy Ponce, Shari Van Wittenberghe, Jochem Verrelst and Jesús Delegido
Sensors 2023, 23(21), 8774; https://doi.org/10.3390/s23218774 - 27 Oct 2023
Cited by 2 | Viewed by 1498
Abstract
The water of high Andean lakes is strongly affected by anthropic activities. However, due to its complexity this ecosystem is poorly researched. This study analyzes water quality using Sentinel-2 (S2) images in high Andean lakes with apparent different eutrophication states. Spatial and temporal [...] Read more.
The water of high Andean lakes is strongly affected by anthropic activities. However, due to its complexity this ecosystem is poorly researched. This study analyzes water quality using Sentinel-2 (S2) images in high Andean lakes with apparent different eutrophication states. Spatial and temporal patterns are assessed for biophysical water variables from automatic products as obtained from versions of C2RCC (Case 2 Regional Coast Color) processor (i.e., C2RCC, C2X, and C2X-COMPLEX) to observe water characteristics and eutrophication states in detail. These results were validated using in situ water sampling. C2X-COMPLEX appeared to be an appropriate option to study bodies of water with a complex dynamic of water composition. C2RCC was adequate for lakes with high transparency, typical for lakes of highlands with excellent water quality. The Yambo lake, with chlorophyll-a concentration (CHL) values of 79.6 ± 5 mg/m3, was in the eutrophic to hyper-eutrophic state. The Colta lake, with variable values of CHL, was between the oligotrophic to mesotrophic state, and the Atillo lakes, with values of 0.16 ± 0.1 mg/m3, were oligotrophic and even ultra-oligotrophic, which remained stable in the last few years. Automatic S2 water products give information about water quality, which in turn makes it possible to analyze its causes. Full article
(This article belongs to the Special Issue Application of Satellite Remote Sensing in Lakes Environment Monitoring)
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20 pages, 4918 KiB  
Article
Analysis of Ice Phenology of Middle and Large Lakes on the Tibetan Plateau
by Lijun Sun, Binbin Wang, Yaoming Ma, Xingdong Shi and Yan Wang
Sensors 2023, 23(3), 1661; https://doi.org/10.3390/s23031661 - 2 Feb 2023
Cited by 2 | Viewed by 1230
Abstract
Considered as a sensitive indicator of climate change, lake ice phenology can have significant influences on regional climate by affecting lake-atmosphere energy and water exchange. However, in situ measurements of ice phenology events are quite limited over high-elevation lakes on the Tibetan Plateau, [...] Read more.
Considered as a sensitive indicator of climate change, lake ice phenology can have significant influences on regional climate by affecting lake-atmosphere energy and water exchange. However, in situ measurements of ice phenology events are quite limited over high-elevation lakes on the Tibetan Plateau, where satellite monitoring can make up such deficiency. In this study, by a combination of AMSR-E (2002–2011) and AMSR-2 (2012–2021) passive microwave data, MODIS optimal products and in situ measurements of temperature profiles in four lakes, the ice phenology events of 40 high-elevation large lakes were derived and their inter-annual trends and influencing factors were analyzed. The freeze-up start date (FUS) mainly occurs in November-December with an average date of 9 December and the break-up end date (BUE) is concentrated in April-May with a multi-year average of 5 May. Under climate warming, 24 of the 34 (70.6%) lakes show delayed FUS at an average trend of 0.35 days/year, and 7 (20.6%) lakes show advanced BUE (rate of change CR = −0.17 days/year). The average ice coverage duration (ID) was 147 days, and 13 (38.2%) lakes shortened ID at an average rate of −0.33 days/year. By synthesizing other ice phenology products, we obtained the assembled products of lake ice phenology, and found that air temperature dominates during the freeze-thaw process, with a higher dependence of BUE than that of FUS on air temperature. Full article
(This article belongs to the Special Issue Application of Satellite Remote Sensing in Lakes Environment Monitoring)
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18 pages, 3861 KiB  
Article
Comparison of Two Water Color Algorithms: Implications for the Remote Sensing of Water Bodies with Moderate to High CDOM or Chlorophyll Levels
by Martha Otte Burket, Leif G. Olmanson and Patrick L. Brezonik
Sensors 2023, 23(3), 1071; https://doi.org/10.3390/s23031071 - 17 Jan 2023
Cited by 3 | Viewed by 2172
Abstract
The dominant wavelength and hue angle can be used to quantify the color of lake water. Understanding the water color is important because the color relates to the water quality and its related public perceptions. In this paper, we compared the accuracy levels [...] Read more.
The dominant wavelength and hue angle can be used to quantify the color of lake water. Understanding the water color is important because the color relates to the water quality and its related public perceptions. In this paper, we compared the accuracy levels of two methods in calculating dominant wavelength and hue angle values using simulated satellite data calculated from in situ reflectance hyperspectra for 325 lakes and rivers in Minnesota and Wisconsin. The methods developed by van der Woerd and Wernand in 2015 and Wang et al. in 2015 were applied to simulated sensor data from the Sentinel-2, Sentinel-3, and Landsat 8 satellites. Both methods performed comparably when a correction algorithm could be applied, but the correction method did not work well for the Wang method at hue angles < 75°, equivalent to levels of colored dissolved organic matter (CDOM, a440) > ~2 m−1 or chlorophyll > ~10 mg m−3. The Sentinel-3 spectral bands produced the most accurate results for the van der Woerd and Wernand method, while the Landsat 8 sensor produced the most accurate values for the Wang method. The distinct differences in the shapes of the reflectance hyperspectra were related to the dominant optical water quality constituents in the water bodies, and relationships were found between the dominant wavelength and four water quality parameters, namely the Secchi depth, CDOM, chlorophyll, and Forel–Ule color index. Full article
(This article belongs to the Special Issue Application of Satellite Remote Sensing in Lakes Environment Monitoring)
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