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Ecogeomorphological Research Using Satellite Images

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

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 2000

Special Issue Editor


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Guest Editor
Instituto Universitario del Agua y Medio Ambiente, Campus de Espinardo, Universidad de Murcia, Edificio D, s/n, 30001 Murcia, Spain
Interests: hydrology; remote sensing; machine learning; geoinformatics; spatio-temporal statistics; land cover classification; geographic information system

Special Issue Information

Dear Colleagues,

The use of remote sensing to obtain layers of interest to solve ecogeomorphological theoretical and applied problems is an interesting field of study to develop. Water cycle estimates are needed to assess water resources, to characterize the complexity of the cycle, to study habitat availability of different species, and to understand local and global responses to climate change. Estimation of rainfall, soil moisture, actual and potential evapotranspiration, the detection of inundated areas, and also the assessment of erosion risk are important topics involved. Land cover is a key feature to understand all these processes and has been one of the key topics in remote sensing along the last decades. Among the techniques used to improve land cover classification, machine learning techniques, textural information, ancillary variables, mainly terrain features, have been tested. The integration of satellite images from different sources and resolutions with other ancillary information as weather radar, LIDAR, DEMs and derived layers or observations from weather stations is needed. The management of such different information sources is a challenge by itself. Geographic Information Science is the use of data science techniques adapted to manage spatial information is one of the challenges to tackle. The use of predictive models, based on classical statistics or on machine learning  algorithms that are at the same time accurate and scientifically sound is another important challenge.

Prof. Dr. Francisco Alonso-Sarría
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

  • Water cycle
  • Land cover
  • Geographic information science
  • Machine learning

Published Papers (1 paper)

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Research

21 pages, 7552 KiB  
Article
Ecogeomorphological Transformations of Aeolian Form—The Case of a Parabolic Dune, Poland
by Roksana Zarychta, Adrian Zarychta and Katarzyna Bzdęga
Remote Sens. 2021, 13(19), 3937; https://doi.org/10.3390/rs13193937 - 1 Oct 2021
Cited by 1 | Viewed by 1643
Abstract
The range of natural environmental degradation caused by anthropogenic activity may include geomorphological forms such as dunes resulting from the build-up activity of the wind. In effect, such environmental transformation affects changes connected not only with their relief, but also with the presence [...] Read more.
The range of natural environmental degradation caused by anthropogenic activity may include geomorphological forms such as dunes resulting from the build-up activity of the wind. In effect, such environmental transformation affects changes connected not only with their relief, but also with the presence and health of diverse plant and animal inhabitants. The subject of the survey was a parabolic dune with asymmetric shape, the sand of which was subjected to exploitation over many years. Terrain data acquired by means of GNSS (Global Navigation Satellite Systems) served to elaborate the present relief of the surveyed dune and to reconstruct its primary relief. These were mainly places where the impacts of human activities were recorded. For this purpose, ordinary kriging (OK) estimation was performed. Simultaneously, satellite data and UAV (Unmanned Aerial Vehicle) imaging were acquired, and subjected to image fusion in order to acquire near infrared bands (NIR), red, green, blue in high spatial resolution. These in turn were applied so as to estimate the condition of the vegetation overplanting the dune and surrounding terrain. The correctness of the modelling was verified by cross-validation (CV), which disclosed low error values. Such values in present and primary relief were, respectively, mean error (ME) at −0.009 and −0.014, root mean square error (RMSE) at 0.564 and 0.304 and root mean square standardised error (RMSSE) at 0.999 and 1.077. Image fusion, with use of pansharpening allowed a colour-infrared composition (CIR) and a Modified Chlorophyll Absorption in Reflectance Index 1 (MCARI1) to be obtained. Their analysis disclosed that vegetation on the dune is characterised by worse health condition as compared with the surrounding area thereof. The proposed approach enabled the environmental condition of the surveyed dune to be analysed, and thereby it allows for a determination of the consequences of further uncontrolled sand recovery without taking into account the historical cartographic materials customarily considered to be the main source of information. Full article
(This article belongs to the Special Issue Ecogeomorphological Research Using Satellite Images)
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