Special Issue "Mapping the Dynamics of Forest Plantations in Tropical and Subtropical Regions from Multi-Source Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 December 2015)
Prof. Xiangming Xiao
Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, 101 David L. Boren Blvd., Norman, Oklahoma 73019-5300, USA
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Interests: applications of remote sensing and gis in ecosystems science and natural resources; land use and cover changes; ecosystem service assessment; biogeochemistry of terrestrial ecosystems; ecosystem modeling at large spatial scales; integrated impact assessment of climate change; ecology and epidemiology of infectious diseases.
Dr. Jinwei Dong
With the development of the economy, areas of industrial forest plantations have expanded enormously in recent years across tropical and subtropical regions in the world. The main species include rubber, oil palm, teak, eucalyptus, acacia, pine and bamboo. The rapid expansion of these forest plantations is likely to have substantial impacts on biodiversity, terrestrial carbon cycle, hydrology and climate. However, our capacity to better understand and predict these impacts is still constrained by lack of accurate and updated data on spatial distribution, area, and dynamics of forest plantations.
Satellite remote sensing plays an important role in mapping spatial distribution and temporal dynamics of forests and plantations. A number of studies have used optical satellite images (Landsat and MODIS) to identify and map industrial forest plantations, e.g., rubber plantations, oil palm plantations, eucalyptus plantations, teak, acacia, and bamboo, and the main difficulty to map industrial forest plantations is the similar spectral characteristics between natural forests and forest plantations. Recently, a number of studies have evaluated the potential of synthetic aperture radar (SAR) and Light Detection and Ranging (LiDAR) images to map plantations as well. However, these studies are not systematic and so far no high quality maps of plantations are available on the regional, continental and global scales.
This special issue aims to review and synthesize the latest progress in plantation mapping algorithms, spatio-temporal changes of plantations, and their impacts on the environment and climate. Prospective authors are invited to contribute to this special Issue of Remote Sensing by submitting an original manuscript. Contributions may focus on, but are not limited to:
1) New and improved algorithms for mapping plantations, including type, stand age, phenology, structure, and biomass;
2) Application of multi-sensor and multi-scale remote sensing on plantation mapping;
3) Process and pattern of plantation expansion;
4) Likely effects of plantation expansion on biodiversity, carbon, water and climate;
5) Citizen science and crowdsourcing in land cover mapping.
Prof. Xiangming Xiao
Dr. Jinwei Dong
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly journal published by MDPI.