Special Issue "Vegetation Cover Changes from Satellite Data"
Deadline for manuscript submissions: 30 November 2021.
Interests: vegetation cover dynamics; climate change; tundra vegetation; climate and anthropogenic effects; analysis of optical remote sensing data
Vegetation cover is the most important indicator of ecosystem transformations and landscape history on local, regional, or global scales. The vegetation is one of the easily readable objects for optical remote sensing, as an active pigment keeper. The water content and density combinations of plant shoots and tree crowns open the possibility for SAR instruments analysis. The high-accuracy measurements and time-series stability of RS data are the basis for statistically correct estimations of transformations of vegetation cover. It is more important for hard-to-reach regions in Arctic, taiga, or arid zones, and in monitoring low-intensity changes. The species composition dynamics and plant biomass production are visual processes of ecosystem changes. Past and new disasters of vegetation cover (windfalls, fires, pasture grazing) affect biodiversity.
This Special Issue will accumulate original research on Vegetation Cover Changes at different levels of organization: from local communities to transition landscape zones of biomes. Careful research carried out at the local level can serve as a basis for other researchers to compare and validate their global conclusions. New algorithms for processing and measurement sensors for vegetation cover changes are also welcomed.
Dr. Vladimir Valerievich Elsakov
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 papers will be 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 2400 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.
- Vegetation dynamics as an indicator of global ecosystem transformations
- Climate effects in transition vegetation zones
- Ecological gradients in vegetation cover formation
- Anthropogenic and native disturbances of vegetation cover
- New algorithms and sensors for vegetation cover analysis
- Vegetation cover mapping
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Dmitry V. Ershov1, Natalia V. Koroleva1, Elena I. Belova1, Elena V. Tikhonova1, Tatiana Yu. Braslavskaya1, Egor A. Gavrilyuk1, Igor M. Bavshin2, Anastasia V. Titovets2, Gleb N. Tikhonov3
1Center for Forest Ecology and Productivity RAS, Moscow, Russia
2 National Park «Smolenskoye Poozerie», Smolensk region, Russia
3University of Helsinki, Faculty of Biological and Environmental Sciences, Finland
Contact e-mail: [email protected]
The collapse of the USSR and internal political and socio-economic status in the post-Soviet period in different influenced in the agrarian sector of Russia and Belarus. The forest restoration scale in abandoned agricultural lands (AAL) have considered as an indicator. Satellite data used to monitor and demonstrate this. Our objectives: (1) a comparative analysis of the scale and stages of vegetation cover transformation of ALL in two border test regions over the past 30 years and (2) characterization of restoration successions based on ground data. We used time series of cloudless summer composite Landsat images (1985-2015). Methods of preprocessing and RF-classification of images at four succession stages are described. As a result, the scale of forest restoration and the reasons for ALL have defined. We have collected the ground data in the Russian test plots of ALL, to characterize the structure and floristic composition of young forests in different ecotopic conditions. The phenomenological models of the change of tree species at the middle and late stages of succession were also developed.