Special Issue "Remote Sensing of Lake Properties and Dynamics"
Deadline for manuscript submissions: 31 August 2021.
Our planet is home to over 100 million lakes. These lakes play multiple important roles in the Earth’s environmental systems and local- to global-scale economies. A short list of their contributions would include water and carbon cycling, wildlife habitat, navigation, fisheries, recreation, and the provision of water for domestic consumption, agriculture, and industry. At the same time, lakes are under increasing threat from climate change, water withdrawals, point- and nonpoint-source pollution, invasive species, and other factors.
Remote sensing has been used for decades to monitor the properties and dynamics of lakes. With the proliferation of new sensors (optical and thermal imaging, active and passive microwave, laser altimeters, and others) and new sensing platforms—from UAVs to multi-satellite constellations—the opportunities for novel applications of remote sensing in lake research have never been more promising.
In this Special Issue, we will highlight research on the use of remote sensing systems for characterizing the properties of lakes and monitoring lake dynamics over space and time. Potential subjects of investigation include the dynamics of water storage in lakes (including surface area, water level, and volume); optical properties such as water clarity and the quantification of various color-producing agents; harmful algal blooms (HABs); water temperature; lake ice; lake bathymetry and geomorphology; shoreline processes and lake/land interactions; and the ecological dynamics of lakes. It is hoped that the papers in this Special Issue will contribute to the wider and more effective adoption of remote sensing methods by limnologists, lake managers, and others concerned with the state and fate of the world’s lakes.
Dr. Jonathan Chipman
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Remote Sensing 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 2400 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.
- Water resources
- Aquatic systems
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Optical characterization of Upper Midwestern lakes to support applications of remote sensing for water quality monitoring
Authors: Daniela Gurlin 1,*; Leif Olmanson 2,; Steven Greb 3; Benjamin Page 4; Patrick Brezonik 5; Marvin Bauer 2
Affiliation: 1 Wisconsin Department of Natural Resources, Madison, WI, USA; [email protected] 2 Dept. of Forest Resources, University of Minnesota, St. Paul, MN, USA; [email protected] (L.O.); [email protected] (M.B.) 3 Space Science and Engineering, University of Wisconsin, Madison, WI, USA; [email protected] 4 Water Resources Center, University of Minnesota, St. Paul, MN, USA; [email protected] 5 Dept. of Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, MN, USA; [email protected]
Abstract: Abstract: Remote sensing presents a cost efficient complementary approach for lake assessments across the Upper Midwest and provides water quality data with a high spatial and temporal resolution for thousands of lakes at a time. Satellite derived water clarity data products assist natural resource management agencies in the Upper Midwestern States of Minnesota and Wisconsin with trophic state assessments of lakes. These lakes comprise a wide range of optical water types (OWTs), which enables the exploration of the accuracy of satellite derived water quality products for specific OWTs. The results presented here address limitations in optical data and describe the diversity of OWTs through an analysis of a 6-year dataset of optically active constituents (OACs), inherent optical properties (IOPs), and apparent optical properties (AOPs) across different ecoregions in these states. The measurements include two AOPs (total suspended matter and chlorophyll-a concentrations), one IOP (chromophoric dissolved organic matter absorption), and one AOP (remote sensing reflectance) at most stations in addition to an expanded set of IOPs at a subset of the stations. The quality of the measurements is assessed through the relationships of OACs, IOPs, and AOPs and optical closure analysis for an example dataset from four lakes sampled in 2015. This research is expected to contribute to international algorithm calibration, refinement, and validation efforts for the development of more accurate satellite water quality products that can be readily adapted by water quality managers.