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Applying Remote Sensing for Sustainable Land Use Changes

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 5391

Special Issue Editor


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Guest Editor
Department of Physical Geography, Faculty of Science and Technology, University of Debrecen, 4032 Debrecen, Hungary
Interests: data mining; machine learning; remote sensing; satellites; aerial photographs
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Landscape change can be natural and can be relevant, even drastic (due to wildfires, volcano eruptions, etc.), but usually, changes have anthropogenic driving forces. Land-use change is one of the most crucial points in human-induced detrimental processes. Large natural or semi-natural areas had been transformed into urban areas and ploughlands, decreasing the biodiversity and conditions of runoff, erosion, etc. Remote sensing is an efficient method in monitoring fast with a favorable cost–benefit ratio. Satellites and aerial surveys including aircraft and unmanned aerial systems (UASs) provide a diverse source of remotely sensed data for evaluation. The processing environment is also an important part of the evaluation, and new algorithms, higher calculation capacity, and shorter processing time ensure new possibilities in scientific research, too. Both cases can result in an unfavored state, which should be identified and managed. This Special Issue aims to help decision-makers with relevant topics on each level (local, regional and global), which point to slower or faster, smaller or larger land-use changes, meaning the risk for sustainability in the short or long run.

Prof. Dr. Szilárd Szabó
Guest Editor

Manuscript Submission Information

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Keywords

  • changes of land use in different scales revealed by satellites, aircrafts or UASs
  • land use change and biodiversity
  • urban sprawl
  • land use transformations
  • natural disasters
  • watershed management and flood risk
  • methodological questions
  • thematic accuracy and detected changes
  • land use models

Published Papers (2 papers)

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Research

21 pages, 5733 KiB  
Article
Subregion-Scale Geothermal Delineation Based on Image Analysis Using Reflection Seismology and Well Data with an Outlook for Land Use
by Erika Buday-Bódi, Ali Irfan, Richard William McIntosh, Zsolt Zoltán Fehér, József Csajbók, Csaba Juhász, László Radócz, Arnold Szilágyi and Tamás Buday
Sustainability 2022, 14(6), 3529; https://doi.org/10.3390/su14063529 - 17 Mar 2022
Cited by 1 | Viewed by 2356
Abstract
The role of geothermal energy is smaller in the global energy mix than what its potential would indicate, but it can be improved by incorporating geothermal energy potential assessments into spatial planning. For adequate decision support and sustainable utilisation, subregion-scale assessments should be [...] Read more.
The role of geothermal energy is smaller in the global energy mix than what its potential would indicate, but it can be improved by incorporating geothermal energy potential assessments into spatial planning. For adequate decision support and sustainable utilisation, subregion-scale assessments should be applied due to the high variability in geothermal characteristics. Different GIS tools were used for the interpretation and integration of the different spatial data into one model showing areas with their geothermal characteristics on maps. Considering the present study site with a size of 83 km × 103 km located in NE Hungary, 39 2D reflection seismic sections and high-resolution geological data of 137 thermal wells were interpreted in OpendTect and then in ArcGIS to define spatial differences in geothermal potential. It was found that nine geothermal subregions (GSRs) can be distinguished in the present study site based on the applied GIS algorithms. Each GSR was characterised and land-use structure was studied based on Corine Land Cover 2018. The exploitation of water with at least 30 °C is possible in all GSRs, while the maximum achievable temperature and reservoir geometry vary; a subregion-scale delineation framework is required for regional planning. Full article
(This article belongs to the Special Issue Applying Remote Sensing for Sustainable Land Use Changes)
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19 pages, 9131 KiB  
Article
Multispectral Analysis of Small Plots Based on Field and Remote Sensing Surveys—A Comparative Evaluation
by József Csajbók, Erika Buday-Bódi, Attila Nagy, Zsolt Zoltán Fehér, András Tamás, István Csaba Virág, Csaba Bojtor, Fanni Forgács, Attila Miklós Vad and Erika Kutasy
Sustainability 2022, 14(6), 3339; https://doi.org/10.3390/su14063339 - 12 Mar 2022
Cited by 6 | Viewed by 2422
Abstract
Remote sensing is an efficient method of monitoring experiments rapidly and by enabling the collection of significantly more detailed data, than using only field measurements, ensuring new possibilities in scientific research. A small plot field experiment was conducted in a randomized block design [...] Read more.
Remote sensing is an efficient method of monitoring experiments rapidly and by enabling the collection of significantly more detailed data, than using only field measurements, ensuring new possibilities in scientific research. A small plot field experiment was conducted in a randomized block design with winter oat (Avena sativa L.) varieties in Debrecen, Hungary in the 2020/2021 cropping year. Multiple field measurements and aerial surveys were carried out examining the response of oat on Silicon and Sulfur foliar fertilization treatments thereby monitoring their effects on the physiology, production and stress tolerance. Parallel application of in situ (elevation, soil pH, NDVI, SPAD, chlorophyll content) and aerial (NDVI, NDRE) surveys including unmanned aerial vehicles (UAVs) provided a diverse source of data for evaluation. Both the oat varieties (88.9%) and the foliar fertilization treatments (87.5%) were correctly classified and clearly separated with the discriminant analysis based on measured data. The Pearson correlation analysis showed a very strong positive connection (r = 0.895–1.00) between the NDVI values measured using a hand-held system and UAV-installed camera, except the third measurement time, where the correlation was weaker (r = 0.70). Our results indicate that field experiments can be effectively supported by UAVs. Full article
(This article belongs to the Special Issue Applying Remote Sensing for Sustainable Land Use Changes)
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