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Remote Sensing
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Remote Sensing of Forest and Wetland Hydrology
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Remote Sensing of Forest and Wetland Hydrology

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 6674

Special Issue Editor

Prof. Dr. Sudhanshu Sekhar Panda

E-Mail Website
Guest Editor
Institute for Environmental Spatial Analysis, University of North Georgia, Oakwood, GA 30566, USA
Interests: geospatial technology; geospatial model development and automation; water resources engineering & management; soil erosion & conservation; climate change impacted environmental management; precision agriculture & site specific crop/forage/forest management; WebGIS-based decision support system development; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is inspired by the latest climate change impact on forest and wetland management issues along with the latest advancements in geospatial technologgy, i.e, in the field of LiDAR, UAV/UAS, GNSS, and specialized satellites for moisture measurement, etc., and their application in natural resource sustainability. Recent eratic spatial precipitation events are hard to comprehend and thus, so is understanding vulnerability towards such climate-associated environmental hazards, such as wildfire, landslides, forest diseases outbreak, forest stream quality sudden deterioration, forested wetland conversion to upland forests due to eroded soil deposition, tidal freshwater forested wetlands ecosystem decimation due to brakish water intrusion, and many more. Remote sensing plays a big role in studying and providing management decision support for large spatial extents quickly and effectively. Advancements in LiDAR technology could map the rapid changing forest and wetland topography with accuracy. Unmanned aerial vehicle (UAV/UAS) technology is a gift for forest managers to obtain instant information on vulnerable locations without strenuous scouting. Global navigation satellite systems (GNSS) provide efficiency in locating and navigating in deep forest canopy. The latest ECOSTRESS- and SMAP-type satellites, which have been designed specifically to obtain soil moisture information under dense canopy forest cover, are a boon. Thus, preparation of up-to-date and accurate physical data such as land use/land cover, soil, topography, etc., are feasible to assist forest and wetlands study through automated hydrologic geospatial model development. Artificial intelligence and machine-learning- supported image processing and model bulding approaches are expanding lately. Thus, studies on these advances on remote-sensing-based forest and wetland management need to be shared among the interested research community, and this Special Issue aims to do just that. Please submit your advanced study results to enrich our research community.

Prof. Dr. Sudhanshu Sekhar Panda
Guest Editor

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 submissions that pass pre-check are 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 2700 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

  • Geospatial technology (remote sensing, GIS, GNSS, and information technology)
  • Forest management
  • Wetlands management
  • Decision support system for sustainable management
  • Hydrologic models
  • Artificial intelligence/machine learning for management model development
  • Climate change impact on forest and wetlands

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Published Papers (2 papers)

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Research

20 pages, 8009 KiB  
Article
Assessment of the GNSS-RTK for Application in Precision Forest Operations
by Hyun-Min Cho, Jin-Woo Park, Jung-Soo Lee and Sang-Kyun Han
Remote Sens. 2024, 16(1), 148; https://doi.org/10.3390/rs16010148 - 29 Dec 2023
Cited by 2 | Viewed by 1670
Abstract
A smart thinning operation refers to an advanced method of selecting and cutting trees to be thinned based on digitally captured forest information. In smart thinning operations, workers use the coordinates of individual trees to navigate to the target trees for thinning. However, [...] Read more.
A smart thinning operation refers to an advanced method of selecting and cutting trees to be thinned based on digitally captured forest information. In smart thinning operations, workers use the coordinates of individual trees to navigate to the target trees for thinning. However, it is difficult to accurately locate individual trees in a forest stand covered with a canopy, necessitating a precise real-time positioning system that can be used in the forest. Therefore, this study aimed to evaluate the applicability of the global navigation satellite system real-time kinematic (GNSS-RTK) device in a forest stand through analysis of its positioning accuracy within the forest environment and evaluation of the operational range of the single-baseline RTK based on analysis of the positioning precision and radio signal strength index (RSSI) change with increasing distance from the base station. The results showed that the root mean square error (RMSE) of the horizontal positioning error was highly accurate, with an average of 0.26 m in Larix kaempferi stands and 0.48 m in Pinus koraiensis stands. The RSSI decreased to a minimum of −103.3 dBm within 1 km of distance from the base station; however, this had no significant impact on the horizontal positioning precision. The conclusion is that the GNSS-RTK is suitable for use in smart thinning operations. Full article
(This article belongs to the Special Issue Remote Sensing of Forest and Wetland Hydrology)
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27 pages, 5315 KiB  
Article
Societal Implications of Forest and Water Body Area Evolution in Czechia and Selected Regions
by Diana Carolina Huertas Bernal, Ratna Chrismiari Purwestri, Mayang Christy Perdana, Miroslav Hájek, Meryem Tahri, Petra Palátová and Miroslava Hochmalová
Remote Sens. 2021, 13(19), 4019; https://doi.org/10.3390/rs13194019 - 8 Oct 2021
Cited by 2 | Viewed by 2990
Abstract
Land cover evolution is an environmental factor that can be used to characterize forest ecosystem services (FES). This study aims to analyze the change in forest cover and water bodies between 1990 and 2018 in the whole Czech Republic, and in the Central [...] Read more.
Land cover evolution is an environmental factor that can be used to characterize forest ecosystem services (FES). This study aims to analyze the change in forest cover and water bodies between 1990 and 2018 in the whole Czech Republic, and in the Central Bohemian and South Moravian regions, and its effects on freshwater provision. Additionally, we attempt to understand the societal implications of water quality, public perception, and environmental investment on natural ecosystems. Forest cover and water body data were obtained from the Corine land cover database, while water quality and investment were compiled from the Czech Statistical Office. Public perceptions on the Czech FES were collected from a national survey. Between 1990 and 2018, forest cover has increased by 3.94% and water bodies by 7.65%; however, from 2014 to 2018, severe droughts were reported that compromised the availability of surface water, presumably on artificial structures, causing an increase in the occupied area. Regarding public perception, respondents with less education, and the older population, obtained an assessment of the low performance of the FES, while the water quality and investment indicate that environmental funding has contributed to improving the quality of outflow water from the wastewater treatment plants, fulfilling all the allowed limits of the urban wastewater treatment directive. Hence, a multidisciplinary approach can help decision makers promote policies that integrate environmental management measures, investment protection, and contribute to sustainable development. Full article
(This article belongs to the Special Issue Remote Sensing of Forest and Wetland Hydrology)
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