Remote Sensing for Mountain Ecosystems II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 6756
Special Issue Editors
Interests: land use/land cover mapping; vegetation mapping; change detection; image classification; urban remote sensing; GIS; mapping and digital cartography
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; object based image analysis (OBIA); geographic information systems (GIS); cartography; geomorphology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of remote sensing data from various sensors, passive and active, spaceborne and airborne, can help the researchers to map in detail the current altitudinal zonation of mountain regions at different scales in a dynamic formula in order to identify the role of climate change and the contribution of anthropogenic factors in ecosystem transformation, especially at the interface areas like the upper treeline, the mixed forests, the forest-agriculture, and the forest–urban interfaces. Earth observation data processing and analysis must be continued with a field validation process of the results in order to search for novel ideas with which to explain the mountain landscape dynamic features.
There is a real need to extend the study areas of the papers to other mountain landscapes of the World. From tropical humid and desert mountains, up to the Mediterranean, temperate, Arctic and Antarctic mountains, are meaning features to be mapped and modeled, to be explained in a dynamic formula, using multisensor and multitemporal data integration. This Special Issue will focus on the advanced ecosystem modeling and mapping of areas ranging from forest zones and alpine/subalpine pastures to the glaciated grounds and the highest peaks, and from the montane agricultural areas to secondary pasture grounds. This will allow us to explain the trajectory of ecosystems under the influence of climate change and the social and economic pressure. Different approaches can focus on searching new uncorrelated or multimodal remote sensing data structures from Earth observation image archives, including historical imagery and declassified data, in order to extract relevant environmental information and to bring original interpretations of landscape changes at different levels of detail.
The topics mainly include but are not limited to the following:
- Mountain ecosystem mapping and vegetation zonation using integrated remote sensing data and field validation, with a special focus on the alpine zone.
- Change detection of transitional belts between mountain vertical zones under different climate conditions, with a special focus on the treeline and timberline ecotones.
- Mapping and modeling the role of soil erosion in mountain ecosystem dynamics.
- Mapping and modeling the relationship between morphodynamic processes and mountain ecosystems (e.g. avalanches, landslides, debris flows, etc.).
- Mapping and modeling of natural and anthropogenic factors contribution to mountain ecosystem dynamics using multisensor and multitemporal remote sensing data.
- Mapping and modeling of the mountain region's agroecosystems for the identification of traditional land management features and the current dynamics of the landscapes.
- Mapping and modeling land cover and land use change with the help of ecosystem related indicators in the context of the emerging infrastructure development in mountain areas (tourism, mining, traffic, hydropower etc.).
- Mapping and modeling of protected features of mountain ecosystems using integrated remote sensing imagery and predicting the dynamics of these areas. Change detection analysis in the mountains protected areas.
- Multi-scale and multi-temporal analysis of the mountain environment through object-based image analysis (OBIA).
Dr. Bogdan Andrei Mihai
Dr. Marcel Torok
Guest Editors
Manuscript Submission Information
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Keywords
- multisensor data
- altitudinal zonation
- soil erosion
- change detection
- dynamic mapping
- data mining
Related Special Issue
- Remote Sensing for Mountain Ecosystems in Remote Sensing (10 articles)
Planned Papers
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: Timberline change modelling (1990s to Present day) in the context of climate change. An integrated approach in Făgăraș-Iezer Mountains, Southern Carpathians
Authors: Bogdan-Andrei Mihai; Carmen Bizdadea; Marina Vîrghileanu; Bogdan Olariu; Ionuț Săvulescu; Ionuț Șandric; Alexandru Nedelea; Răzvan Constantin Oprea
Affiliation: 1 University of Bucharest, Faculty of Geography
2 University of Bucharest, Faculty of Geography, Simion Mehedinți Doctoral School
Abstract: Timberline in Romanian Carpathians is a transition zone between forest ecosystems and the alpine-subalpine pastures ecosystems. The topographical and natural factors combined with an intensive but differenced anthropogenic influence created a transition zone usually defined by a complex spatial pattern between 1400-2300 m, where the competition between Spruce fir (Picea abies) and the subalpine dwarf pine (Pinus mugo) need a special attention. This is related to the last decades trend of forest stands recovery in altitude and the inclusion of subalpine coniferous stand in the newly occurred forest stand.
In this respect, the current approach follows two directions. First is the search for a spectral definition and classification of the similar subalpine dwarf pine stands and of the coniferous stand of spruce fir on multidate and multiseason ESA Sentinels imagery. Second is the testing of the approach in the context of a change detection analysis (1990s to 2023/2024) covering the high mountain region in Făgăraș and Iezer Massifs (2400-2500 m altitude), integrating SPOT XS multispectral pansharpened historical imagery and current ESA Sentinel data at 10 m resolution.
Pixel-based approaches are evaluated in comparison with object-based image analysis, with selected AI algorithms and even the deep learning analysis. The results are evaluated in order to extract the land cover features separating the compact forest stands from the pasture and subalpine zones, showing the competition between forest and alpine ecosystems.
Like almost all mountain areas, meteorological data confirm a general trend in multiannual temperature increases between 800 to 2500 m, and a trend of forest zones positive shift in altitude, already documented by older studies.
An accurate dynamic map of the timberline is designed in order to illustrate the patterns of the changing transition belt under the complex influence of climate change and a differenced anthropogenic activity.