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Applications of Remote Sensing in Forest Management and Biodiversity Conservation...
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Applications of Remote Sensing in Forest Management and Biodiversity Conservation II

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 6450

Special Issue Editors

Dr. Maciej Bartold

E-Mail Website
Guest Editor
Institute of Geodesy and Cartography, 27 Modzelewskiego St., 02-679 Warsaw, Poland
Interests: remote sensing; land surface temperature; Cal/Val; biodiversity; vegetation mapping and monitoring; wetlands dynamics
Special Issues, Collections and Topics in MDPI journals
Dr. Rasa Šimanauskienė

E-Mail Website
Guest Editor
Faculty of Chemistry and Geosciences, Vilnius University, LT-03101 Vilnius, Lithuania
Interests: land use change; wetlands geography; climate change; spatial analysis; ecology; reptiles; lakes
Special Issues, Collections and Topics in MDPI journals
Dr. Krzysztof Stereńczak

E-Mail Website
Guest Editor
Department of Geomatics, Forest Research Institute, Braci Leśnej 3 Street, Sękocin Stary, 05-090 Raszyn, Poland
Interests: remote sensing; laser scanning; precision forestry; forest management; forest health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to the overwhelming support and interest in the previous Special Issue (SI), we are introducing a 2nd edition on “Applications of Remote Sensing in Forest Management and Biodiversity Conservation”. I would like to thank all the authors and co-authors who made contributions to the success of the 1st edition of this SI.

Over the years, remote sensing techniques have been increasingly contributing to determining biodiversity characteristics as well as monitoring over large-scale areas. Currently biodiversity needs to be protected primarily to maintain the mechanisms of the functioning of living nature in forests and ecosystems; maintain the ability to withstand environmental changes as well as discover and take advantage of new features that may facilitate development and guarantee the survival of future generations. The evolution of remote sensing tools allows the refinement of existing approaches and the development of innovative new ones for a better evaluation of the biodiversity response to natural ecosystems management and conservation.

With the launches of new Earth observation satellites and growing uses of unmanned aerial vehicles, wider applications of remote sensing for monitoring and mapping of forest ecosystems biodiversity can be foreseen. Remote-sensing based approaches to biodiversity features can further improve management and policy decisions.  Moreover, rapid advances in remote sensing methods have also promoted the application of machine learning algorithms and techniques to problems in many related fields, such as classification, environmental changes. This Special Issue aims to report the latest advances and trends concerning multimodal remote sensing image processing methods and applications for the biodiversity.

Dr. Maciej Bartold
Dr. Rasa Šimanauskienė
Dr. Krzysztof Stereńczak
Guest Editors

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

  • applications in remote sensing
  • machine learning/deep learning
  • multispectral/hyperspectral image processing
  • LiDAR
  • SAR
  • forest management
  • biodiversity
  • natural ecosystems conservation

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Related Special Issue

Published Papers (3 papers)

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Research

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13 pages, 20019 KiB  
Article
Determination of Microtopography of Low-Relief Tidal Freshwater Forested Wetlands Using LiDAR
by Tarini Shukla, Wenwu Tang, Carl C. Trettin, Shen-En Chen and Craig Allan
Remote Sens. 2024, 16(18), 3463; https://doi.org/10.3390/rs16183463 - 18 Sep 2024
Viewed by 741
Abstract
The microtopography of tidal freshwater forested wetlands (TFFWs) impacts biogeochemical processes affecting the carbon and nitrogen dynamics, ecological parameters, and habitat diversity. However, it is challenging to quantify low-relief microtopographic features that might only vary by a few tens of centimeters. We assess [...] Read more.
The microtopography of tidal freshwater forested wetlands (TFFWs) impacts biogeochemical processes affecting the carbon and nitrogen dynamics, ecological parameters, and habitat diversity. However, it is challenging to quantify low-relief microtopographic features that might only vary by a few tens of centimeters. We assess the high-resolution fine-scale microtopographic features of a TFFW with terrestrial LiDAR and aerial LiDAR to test a method appropriate to quantify microtopography in low-relief forested wetlands. Our method uses a combination of water-level and elevation thresholding (WALET) to delineate hollows in terrestrial and aerial LiDAR data. Close-range remote sensing technologies can be used for microtopography in forested regions. However, the aerial and terrestrial LiDAR technologies have not been used to analyze or compare microtopographic features in TFFW ecosystems. Therefore, the objectives of this study were (1) to characterize and assess the microtopography of low-relief tidal freshwater forested wetlands and (2) to identify optimal elevation thresholds for widely available aerial LiDAR data to characterize low-relief microtopography. Our results suggest that the WALET method can correctly characterize the microtopography in this area of low-relief topography. The microtopography characterization method described here provides a basis for advanced applications and scaling mechanistic models. Full article
(This article belongs to the Special Issue Applications of Remote Sensing in Forest Management and Biodiversity Conservation II)
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Review

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23 pages, 3163 KiB  
Review
Mapping Human Pressure for Nature Conservation: A Review
by Quanxin Luo, Shicheng Li, Haifang Wang and Haonan Cheng
Remote Sens. 2024, 16(20), 3866; https://doi.org/10.3390/rs16203866 - 18 Oct 2024
Viewed by 1953
Abstract
The escalating human pressures on natural ecosystems necessitate urgent and effective conservation strategies to safeguard biodiversity and ecosystem functions. This review explored current techniques for mapping human pressure, with a particular focus on their application in nature conservation, especially within protected areas (PAs). [...] Read more.
The escalating human pressures on natural ecosystems necessitate urgent and effective conservation strategies to safeguard biodiversity and ecosystem functions. This review explored current techniques for mapping human pressure, with a particular focus on their application in nature conservation, especially within protected areas (PAs). Specifically, we analyzed the impacts of seven major types of human pressures on nature conservation within PAs. Additionally, we discussed four key methods for mapping human pressure, including land use intensity, human footprint, digital human footprint, and other proxies, examining their distinct characteristics and respective advantages and disadvantages. Additionally, our research explored the application of human pressure mapping for nature conservation, assessing its suitability for conservation applications and delineating directions for future work. These insights contributed to better support nature conservation and the management of PAs. Full article
(This article belongs to the Special Issue Applications of Remote Sensing in Forest Management and Biodiversity Conservation II)
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21 pages, 11115 KiB  
Review
Mobile Devices in Forest Mensuration: A Review of Technologies and Methods in Single Tree Measurements
by Robert Magnuson, Yousef Erfanifard, Maksymilian Kulicki, Torana Arya Gasica, Elvis Tangwa, Miłosz Mielcarek and Krzysztof Stereńczak
Remote Sens. 2024, 16(19), 3570; https://doi.org/10.3390/rs16193570 - 25 Sep 2024
Cited by 2 | Viewed by 2713
Abstract
Mobile devices such as smartphones, tablets or similar devices are becoming increasingly important as measurement devices in forestry due to their advanced sensors, including RGB cameras and LiDAR systems. This review examines the current state of applications of mobile devices for measuring biometric [...] Read more.
Mobile devices such as smartphones, tablets or similar devices are becoming increasingly important as measurement devices in forestry due to their advanced sensors, including RGB cameras and LiDAR systems. This review examines the current state of applications of mobile devices for measuring biometric characteristics of individual trees and presents technologies, applications, measurement accuracy and implementation barriers. Passive sensors, such as RGB cameras have proven their potential for 3D reconstruction and analysing point clouds that improve single tree-level information collection. Active sensors with LiDAR-equipped smartphones provide precise quantitative measurements but are limited by specific hardware requirements. The combination of passive and active sensing techniques has shown significant potential for comprehensive data collection. The methods of data collection, both physical and digital, significantly affect the accuracy and reproducibility of measurements. Applications such as ForestScanner and TRESTIMATM have automated the measurement of tree characteristics and simplified data collection. However, environmental conditions and sensor limitations pose a challenge. There are also computational obstacles, as many methods require significant post-processing. The review highlights the advances in mobile device-based forestry applications and emphasizes the need for standardized protocols and cross-device benchmarking. Future research should focus on developing robust algorithms and cost-effective solutions to improve measurement accuracy and accessibility. While mobile devices offer significant potential for forest surveying, overcoming the above-mentioned challenges is critical to optimizing their application in forest management and protection. Full article
(This article belongs to the Special Issue Applications of Remote Sensing in Forest Management and Biodiversity Conservation II)
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