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Remote Sensing for Biometeorology

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

Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 4289

Special Issue Editor


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Guest Editor
Department of Ecology, Evolution, and Natural Resources, Grant F. Walton Center for Remote Sensing & Spatial Analysis, School of Environmental and Biological Sciences, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551, USA
Interests: climate change; microclimate; application of remote sensing and GIS to study ecosystem processes, functions, and services; ecosystem modeling

Special Issue Information

Dear Colleagues,

This Special Issue will publish papers that investigate the interactions between climate and biological systems using remote sensing technologies. Remote sensing has been widely used in land surface characterization and classification, but few studies have focused on the feedback of land surface changes to the climate system. We seek papers that examine land/water surface energy balance, albedo, thermal emissivity, water cycle (e.g., ET and fuel moisture), plant physiological parameters, urban heat island, and microclimate through various remote sensing platforms, such as satellites, aircraft, and ground-based imaging systems. We are particularly interested in papers describing the impacts of natural and anthropogenic disturbances (e.g., deforestation/reforestation, urbanization, and controlled environment agriculture) on local and regional climate using remote sensing techniques. Original studies integrating remote sensing-based land–surface fluxes with ecosystem functions and services are welcome for submission. Consultation with the Editor is encouraged before submitting a manuscript.

Prof. Ming Xu
Guest Editor

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

  • Remote sensing
  • Land–surface fluxes
  • Microclimate
  • Energy balance
  • Evapotranspiration
  • Land use/cover change
  • Ecosystem feedbacks to climate

Published Papers (1 paper)

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Research

19 pages, 4617 KiB  
Article
Assessing the Effects of Photovoltaic Powerplants on Surface Temperature Using Remote Sensing Techniques
by Xunhe Zhang and Ming Xu
Remote Sens. 2020, 12(11), 1825; https://doi.org/10.3390/rs12111825 - 05 Jun 2020
Cited by 24 | Viewed by 3988
Abstract
The rapid development of photovoltaic (PV) powerplants in the world has drawn attention on their climate and environmental impacts. In this study, we assessed the effects of PV powerplants on surface temperature using 23 largest PV powerplants in the world with thermal infrared [...] Read more.
The rapid development of photovoltaic (PV) powerplants in the world has drawn attention on their climate and environmental impacts. In this study, we assessed the effects of PV powerplants on surface temperature using 23 largest PV powerplants in the world with thermal infrared remote sensing technique. Our result showed that the installation of the PV powerplants had significantly reduced the daily mean surface temperature by 0.53 °C in the PV powerplant areas. The cooling effect with the installation of the PV powerplants was much stronger during the daytime than the nighttime with the surface temperature dropped by 0.81 °C and 0.24 °C respectively. This cooling effect was also depended on the capacity of the powerplants with a cooling rate of −0.32, −0.48, and −0.14 °C/TWh, respectively, for daily mean, daytime, and nighttime temperature. We also found that the construction of the powerplants significantly decreased the surface albedo from 0.22 to 0.184, but significantly increased the effective albedo (surface albedo plus electricity conversion) from 0.22 to 0.244, suggesting conversion of solar energy to electrical energy is a major contributor to the observed surface cooling. Our further analyses showed that the nighttime cooling in the powerplants was significantly correlated with the latitude and elevation of the powerplants as well as the annual mean temperature, precipitation, solar radiation, and normalized difference vegetation index (NDVI). This means the temperature effect of the PV powerplants depended on regional geography, climate and vegetation conditions. This finding can be used to guide the selection of the sites of PV powerplants in the future. Full article
(This article belongs to the Special Issue Remote Sensing for Biometeorology)
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