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Thermal Infrared Remote Sensing for the Climate Adaption of Landscapes...
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Thermal Infrared Remote Sensing for the Climate Adaption of Landscapes and Urban Areas

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

Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 3848

Special Issue Editors

Prof. Dr. Marion Pause

E-Mail Website
Guest Editor
Institute for Geoinformation and Surveying, Department of Architecture, Facility Management and Geoinformation, Anhalt University of Applied Sciences, Bauhausstrasse 8 (Building 07), 06846 Dessau, Germany
Interests: multi-sensor remote sensing; hyperspectral remote sensing; thermal remote sensing; soil moisture remote sensing; environmental monitoring; in situ/remote sensing integration; remote sensing higher education
Special Issues, Collections and Topics in MDPI journals
Dr. Angela Lausch

E-Mail Website
Guest Editor
Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Permoserstr.15, D-04318 Leipzig, Germany
Interests: remote sensing; functional traits; biodiversity; data mining
Special Issues, Collections and Topics in MDPI journals
Dr. Milena Marković

E-Mail Website
Guest Editor
Department of Ecology, Institute for Biological Research “Siniša Stanković” - National Institute of Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, 11000 Belgrade, Serbia
Interests: biodiversity of plants; ecology of plants; monitoring of vegetation change; LST–vegetation relationship

Special Issue Information

Dear Colleagues,

We are pleased to introduce a new Special Issue which focuses on thermal infrared remote sensing at regional to local scales.  The increasing requirements for climate adaption of landscapes and urban areas require observation to allow spatial planning and monitoring of changes.

The aim of the Special Issue is to showcase a collection of proof-of-principle and proof-of-concept studies that are applicable for local authorities and linked to the SI key topics.

Research articles, scientifically based and presented proof-of-principle and proof-of-concept case reports, and review articles.

The land surface temperature (LST) and its spatial distribution and temporal dynamics play a key role in climate adaption of landscapes and urban areas. Imaging based on thermal infrared remote sensing from satellite and airborne platforms has achieved advancements in sensor development and methods for data analysis. New TIR satellite missions are being scheduled by earth observation agencies.

The demand for spatially explicit LST observations for climate adaption of landscapes and urban areas is increasing at the local and regional management scale as it provides key information for spatial planning.

Therefore, key topics are:

  • Advances in thermal infrared remote sensing techniques applicable to local and regional management scale, i.e., sensors and methods for high spatial and spectral resolution TIR observations
  • Scientifically based case reports of airborne and UAV-based TIR campaigns, i.e., to study and visualise the feedback of green infrastructure and LST, soil moisture estimation, and soil erosion in agriculture
  • Approaches for multi-source data integration, i.e., to calculate emissivity, and the combination of NIR, SWIR, TIR hyperspectral data
  • Studies using TIR-based observations for data assimilation into local climate, plant growth, or hydrological models.

Dr. Marion Pause
Dr. Angela Lausch
Dr. Milena Marković
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

  • Thermal infrared remote sensing
  • Multi-source remote sensing
  • TIR UAV campaigns
  • TIR airborne campaigns
  • TIR satellite missions
  • Land surface temperature
  • Emissivity calculation
  • Green infrastructure Soil moisture Soil erosion Regional scale Climate adaption Urban planning

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

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Research

21 pages, 7484 KiB  
Article
Monitoring of Spatiotemporal Change of Green Spaces in Relation to the Land Surface Temperature: A Case Study of Belgrade, Serbia
by Milena Marković, Jasmin Cheema, Anica Teofilović, Slavica Čepić, Zorica Popović, Jelena Tomićević-Dubljević and Marion Pause
Remote Sens. 2021, 13(19), 3846; https://doi.org/10.3390/rs13193846 - 26 Sep 2021
Cited by 11 | Viewed by 2815
Abstract
Understanding the relationship between land use and land cover and thermal environment has recently become an emerging issue for urban planners and policy makers. We chose Belgrade, as a case study, to present a cost- and time-effective framework for monitoring spatiotemporal changes of [...] Read more.
Understanding the relationship between land use and land cover and thermal environment has recently become an emerging issue for urban planners and policy makers. We chose Belgrade, as a case study, to present a cost- and time-effective framework for monitoring spatiotemporal changes of green spaces in relation to the land surface temperature (LST). Time series analysis was performed using Landsat 5 TM and Landsat 8 OLI/TIRS imagery from 1991 to 2019 with an approximate 5-year interval (18 images in total). Spectral vegetation indices and supervised land cover classifications were used to examine changes of green spaces. The results showed a fluctuating trend of the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI). The highest values were recorded in 2019, indicating vegetation recovery in the last decade. A significant positive correlation was determined between the spectral vegetation indices and the amount of precipitation during growing season. The land cover classification showed that the share of vegetated and bare land decreased by 11.74% during the study period. The most intensive conversion of green and bare land into built-up land cover occurred in the first decade (1991–2000). To assess spatiotemporal changes in the LST, Landsat Collection 2 Surface Temperature products were used. We found a negative correlation between change in the spectral vegetation indices and change in the LST. This indicates that the reduction in vegetation was associated with an increase in the LST. The municipalities that were the most affected in each decade were also identified with our framework. The findings of this study are of great relevance for actions targeting an improvement in urban thermal comfort and climate resilience. Full article
(This article belongs to the Special Issue Thermal Infrared Remote Sensing for the Climate Adaption of Landscapes and Urban Areas)
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