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Remote Sensing of Human-Environment Interactions along the Urban-Rural Gradient

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 December 2016) | Viewed by 104803

Special Issue Editors


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Guest Editor

Special Issue Information

Dear Colleagues,

The presence and spread of human activities and impacts are major agents of most environmental problems along the urban–rural gradient. The human dimension of environmental change is ruled by a complex interaction of social, political, economic, and cultural factors that are coupled with growing globalization and global climate change. The consequences of human settlements and actions are altering the properties of natural landscapes, ultimately changing patterns of ecosystem processes and biodiversity. Thus, understanding of human–environment interactions is key to sound urban planning, management, mitigation, and conservation strategies. Increasingly, remote sensing data and technologies are being used to analyze, monitor, and model the impact of human settlements and activities on the environment and the impact of environmental changes on human society in the urban–rural space. Advances in the spatial, spectral, and temporal resolutions in remote sensors provide great opportunities to discern discrete patterns, disturbances, trends, and processes, from the macro- to micro-scale of systems of interest. This Special Issue calls for papers that present cutting-edge studies in human–environment interactions along the urban–rural gradient through remotely sensed data and techniques. The following list provides some examples of topics of interest:

  • Mapping of urbanized landscapes including but not limited to access to open green spaces, amount of impervious surfaces, and corridors such as road and rail networks, power lines, or irrigation canals.
  • Tracking urban growth and natural landscape degradation: area, speed, density, direction, and structure.
  • Mapping and analysis of land conversion impacts including rangeland alteration, agricultural intensification, wetland infringement, and deforestation.
  • Monitoring and analysis of land use impacts on biodiversity, endangered species, and invasive species.
  • Analyzing the impacts of urbanization on air and water quality, microclimate, habitat fragmentation, as well as potential environmental hazards such as floods, fires, earthquakes, tornadoes, hurricanes, landslides   and drought.

Prof. Yuhong He
Prof. Qihao Weng
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.


Published Papers (11 papers)

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Research

6257 KiB  
Article
An Analysis of the Discrepancies between MODIS and INSAT-3D LSTs in High Temperatures
Remote Sens. 2017, 9(4), 347; https://doi.org/10.3390/rs9040347 - 5 Apr 2017
8363 KiB  
Article
Urban Expansion and Its Impact on the Land Use Pattern in Xishuangbanna since the Reform and Opening up of China
Remote Sens. 2017, 9(2), 137; https://doi.org/10.3390/rs9020137 - 7 Feb 2017
9422 KiB  
Article
Monitoring Annual Urban Changes in a Rapidly Growing Portion of Northwest Arkansas with a 20-Year Landsat Record
Remote Sens. 2017, 9(1), 71; https://doi.org/10.3390/rs9010071 - 13 Jan 2017
10174 KiB  
Article
Estimation of Building Density with the Integrated Use of GF-1 PMS and Radarsat-2 Data
Remote Sens. 2016, 8(11), 969; https://doi.org/10.3390/rs8110969 - 23 Nov 2016
12835 KiB  
Article
Forms of Urban Expansion of Chinese Municipalities and Provincial Capitals, 1970s–2013
Remote Sens. 2016, 8(11), 930; https://doi.org/10.3390/rs8110930 - 9 Nov 2016
6502 KiB  
Article
Monitoring Urban Dynamics in the Southeast U.S.A. Using Time-Series DMSP/OLS Nightlight Imagery
Remote Sens. 2016, 8(7), 578; https://doi.org/10.3390/rs8070578 - 8 Jul 2016
3421 KiB  
Article
Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection
Remote Sens. 2016, 8(7), 568; https://doi.org/10.3390/rs8070568 - 6 Jul 2016
2961 KiB  
Article
Evaluation of the Chinese Fine Spatial Resolution Hyperspectral Satellite TianGong-1 in Urban Land-Cover Classification
Remote Sens. 2016, 8(5), 438; https://doi.org/10.3390/rs8050438 - 21 May 2016
5742 KiB  
Article
Estimating Tree Frontal Area in Urban Areas Using Terrestrial LiDAR Data
Remote Sens. 2016, 8(5), 401; https://doi.org/10.3390/rs8050401 - 11 May 2016
3683 KiB  
Article
Mapping Urban Land Use by Using Landsat Images and Open Social Data
Remote Sens. 2016, 8(2), 151; https://doi.org/10.3390/rs8020151 - 17 Feb 2016
4788 KiB  
Article
Quantitative Estimation of the Velocity of Urbanization in China Using Nighttime Luminosity Data
Remote Sens. 2016, 8(2), 94; https://doi.org/10.3390/rs8020094 - 26 Jan 2016
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