Polina Lemenkova- Research Fellow at University of Bologna
Polina Lemenkova
- Research Fellow at University of Bologna
Cartographer
About
763
Publications
389,557
Reads
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4,663
Citations
Introduction
I am cartographer with strong experience in marine research and data analysis (natural, engineering and technical science). My research interests include remote sensing, geophysics, programming, scripting (Python, R, GMT, GRASS GIS) and mapping. I authored 170+ articles, 90+ conference papers and reviewed 700+ manuscripts, and received multiple international research awards: DAAD, ÖAD, Erasmus Mundus, Swiss ESKAS, Taiwan STRA, Chinese CSC, Finland CIMO, AWI Antarctic cruise, TÜBİTAK, etc.
Current institution
Additional affiliations
November 2024 - March 2025
September 2023 - September 2024
Position
- Associate Researcher
Description
- Involved in RA II ConSense, WP GEOHUM: ‘Geospatial data assimilation toolbox’ and ‘Settlement / Urban structure analysis’. Using ArcGIS Pro for satellite image processing (detecting buildings on VHR images SPOT and World Imagery digital archive). Supporting data synchronization, digitalization, organization and management for spatial services.
August 2021 - September 2023
Position
- Researcher
Description
- Writing journal papers; image analysis for mapping landscapes using scripting tools: R for image classification and computing vegetation indices; Python libraries for terrain modelling; GRASS GIS and GMT for cartographic visualization, image processing & data analysis. Areas: Congo, Côte d'Ivoire, CAR, Egypt, Sudan, Nigeria, Burkina Faso, Mali, Panama, Algeria. Développement de l'extraction automatique du signal sismographiqie a partir du données historiques archivées sur des supports papiers.
Editor roles
Central European Journal of Geography and Sustainable Development
Position
- Editorial Board Member
Education
September 2024 - May 2025
Field of study
- Corso di lingua italiana dall’08 ottobre al 21 dicembre 2024, livello B1.3. Corso di lingua italiana dal 3 marzo al 27 maggio 2025, Livello B2.
September 2023 - February 2024
Field of study
- Sprachenzentrum (Wintersemester 2023/2024): 1) Deutsche Wissenschaftssprache mündlich, Niveau C1 (4 ECTS); 2) Deutsch als Fremdsprache Oberstufe 1, Niveau C1 (4.5 ECTS); 3) Academic Skills: Reading and Writing level C1.1 (4 ECTS).
September 2021 - September 2023
Field of study
- French Language: Le cours de français langue étrangère de 60h niveau perfectionnement (niveau C1 du cadre européen de référence) organisé par ULB Langues de septembre à décembre 2022. Le cours de français de 60h niveau avancé-2 de février à mai 2022.
Publications
Publications (763)
This manuscript presents a comprehensive analysis of the eco-hydrology of an Alpine mountain forest. The data series contains monitoring aspects to find effects of the role of fog during mixed rain-fog situations and particularly in an old-grown forest with presence of lichens. This research is a contribution to eco-physiology of forests and their...
Boreal coniferous mountain forests mitigate climate through biophysical and biochemical processes, especially water balance. The link between forests and climate includes direct and nonlinear interactions with atmospheric composition, hydrologic cycle, and water balance. At the same time, forests are fragile ecosystems with high importance as water...
This work presents the use of remote sensing data for land cover mapping with a case of Central Apennines, Italy. The data include 8 Landsat 8-9 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) satellite images in six-year period (2018–2024). The operational workflow included satellite image processing which were classified into raster ma...
This study has presented the estimate of the catchment-level water balance by assessing components separately using different field methods of a subalpine forest in South Tyrol region (north Italy). The techniques of geospatial analysis, statistical modelling and mapping were used for analysis of environmental and hydrological variables in conifero...
This study presents environmental analysis of the Yangtze River Basin, Wuhan region of central China, performed using machine learning (ML) methods of Remote Sensing (RS) data classification. The workflow is performed using Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS) scripting software for processing Lan...
Image processing using Machine Learning (ML) and Artificial Neural Network (ANN) methods was investigated by employing the algorithms of Geographic Resources Analysis Support System (GRASS) Geographic Information System GIS with embedded Scikit-Learn library of Python language. The data are obtained from the United States Geological Survey (USGS) a...
This article presents the application of novel cartographic methods of vegetation mapping with a case study of the Rif Mountains, northern Morocco. The study area is notable for varied geomorphology and diverse landscapes. The methodology includes ML modules of GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, and ‘r.random’ with algorithms of supervis...
This article presents the application of novel cartographic methods of vegetation mapping with a case study of the Rif Mountains, northern Morocco. The study area is notable for varied geomorphology and diverse landscapes. The methodology includes ML modules of GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, and ‘r.random’ with algorithms of supervis...
This study analyses geological landforms and land cover types of Niger using spaceborne data. A landlocked African country rich in geological structures, Niger is notable for contrasting environmental regions which were examined and compared: 1) lowlands (Niger River basin); 2) Aïr Mountains; and 3) Djado Plateau. The methodology is based on machin...
This study analyses geological landforms and land cover types of Niger using spaceborne data. A landlocked African country rich in geological structures, Niger is notable for contrasting environmental regions which were examined and compared: 1) lowlands (Niger River basin); 2) Aïr Mountains; and 3) Djado Plateau. The methodology is based on machin...
This study analyses geological landforms and land cover types of Niger using spaceborne data. A landlocked African country rich in geological structures, Niger is notable for contrasting environmental regions which were examined and compared: 1) lowlands (Niger River basin); 2) Aïr Mountains; and 3) Djado Plateau. The methodology is based on machin...
Questa presentazione parla delle biblioteche di Bologna, Italia. La città di Bologna vi propone di visitare biblioteche con ottime collezioni di libri. La biblioteca Salaborsa è una principale biblioteca pubblica di Bologna con una grande collezione di libri. Salaborsa comprende 12.000 m2 di spazio e più di 100.000 volumi di libri su temi diversi....
Cet article présente la mise en œuvre des approches cartographiques intégrées pour la cartographie environnementale du Burundi, Afrique de l’Est. Suivi des différents types de couverture terrestre par télédétection est présenté dans cet article par les méthodes de GRASS SIG. Les questions méthodologiques des scripts cartographiques sont discutées a...
This paper presents the implementation of the integrated cartographic approach for environmental mapping of Burundi, East Africa. Monitoring different types of land cover in Africa by remote sensing is presented using GRASS SIG methods. The series of thematic maps of vegetation and habitat types, landscapes, topographic, geomorphic and geological c...
Cet article présente la mise en œuvre des approches cartographiques intégrées pour la cartographie environnementale du Burundi, Afrique de l’Est. Suivi des différents types de couverture terrestre par télédétection est présenté dans cet article par les méthodes de GRASS SIG. Les questions méthodologiques des scripts cartographiques sont discutées a...
L'extraction automatique des caractéristiques du paysage est de plus en plus rendue possible grâce à l'utilisation croissante des algorithmes SIG et des méthodes avancées d'analyse des données géospatiales. L'article aborde le potentiel du SIG GRASS pour l'analyse de la géométrie des unités de paysage à travers le calcul de données raster. Les donn...
This paper presents the application of the scripting algorithm GRASS GIS for calculation and visualization of vegetation indices using satellite data. The data include satellite images Landsat-8 OLI/TIRS covering tropical rainforests of central Angola. The images were acquired in July 2013 and July 2023. The methodology is based on using module 'i....
This paper addresses the problem of mapping land cover types in Senegal and recognition of vegetation systems in the Saloum River Delta on the satellite images. Multi-seasonal landscape dynamics were analyzed using Landsat 8-9 OLI/TIRS images from 2015 to 2023. Two image classification methods were compared, and their performance was evaluated in t...
The study presents mapping of land cover changes in Guinea-Bissau using remote sensing data. Study area includes tidal floodplains of the rivers Geba, Caceu, and Rio Grande de Buba. Satellite images Landsat 8-9 OLI/TIRS were classified and analysed to evaluate landscape dynamics from 2017 to 2023. The methodology is based on GRASS GIS modules “i. c...
This paper evaluates the potential of using artificial intelligence (AI) and machine learning (ML) approaches for classification of Landsat satellite imagery for environmental coastal mapping. The aim is to identify changes in patterns of land cover types in a coastal area around Cheetham Wetlands, Port Phillip Bay, Australia. The scripting approac...
These slides present a case study on landslide risk assessment for National Civil Protection Management in Low Austria. The research has been performed using ArcGIS-based approach. Research goal consists in improving the national landslide disaster control by evaluating the expected number of people affected by landslides. Research aim is to assess...
These slides present a case study on landslide risk assessment for National Civil Protection Management in Low Austria. The research has been performed using ArcGIS-based approach. Research goal consists in improving the national landslide disaster control by evaluating the expected number of people affected by landslides. Research aim is to assess...
This presentation proposes research on mapping landscapes of Africa using remote sensing data: detecting spatio-temporal environmental dynamics from the satellite images. The presentation is held on 13 June at the University of Salzburg. The presented research covers the problem of extracting knowledge and information from Earth Observation (EO) da...
This presentation proposes research on mapping landscapes of Africa using remote sensing data: detecting spatio-temporal environmental dynamics from the satellite images. The presentation is held on 13 June at the University of Salzburg. The presented research covers the problem of extracting knowledge and information from Earth Observation (EO) da...
This work presents a case study of floods in Bangladesh using GIS analysis and deep learning. Floods are the natural hazard with the globe coverage and high frequency. Flood risk management involves segments of water use (potable water, industrial use, irrigation, recreation, energy production) and analysis. Flood risk analysis is computed in terms...
This work presents a case study of floods in Bangladesh using GIS analysis and deep learning. Floods are the natural hazard with the globe coverage and high frequency. Flood risk management involves segments of water use (potable water, industrial use, irrigation, recreation, energy production) and analysis. Flood risk analysis is computed in terms...
Monitoring rainforests in West Africa is necessary for natural resource management. Remote sensing is valuable for mapping tropical ecosystems and evaluation of landscape heterogeneity. This study presents landscape analysis in Sierra Leone which affects wildlife habitats and biodiversity. Methods include modules “r.mapcalc”, “r.li.mps”, “r.li.edge...
Le développement de techniques de programmation et de langages de script intégrés aux SIG a amélioré le traitement des images satellitaires pour obtenir des informations spatiales à partir des données de télédétection. Dans cet article, l'efficacité de l'intégration des données multi-temporelles d'observation spatiale avec des techniques de script...
The study is focused on mapping geophysical settings on the margins of the Philippine Sea Plate (PSP). Active volcanism and seismic situation along the margins of the Philippine Sea Basin (PSB) shows earthquake events demonstrating high seismicity of the region caused by tectonic plate subduction. The aim was to perform cartographic mapping of the...
This study presents the environmental mapping of the Chilika Lake coastal lagoon, India, using satellite images Landsat 8-9 OLI/TIRS processed using machine learning (ML) methods. The largest brackish water coastal lagoon in Asia, Chilika Lake, is a wetland of international importance included in the Ramsar site due to its rich biodiversity, produc...
Seismographs have recorded ground motion since the end of the 19th century until digital recordings became available in the 1970s. Pre-digital seismic records were typically created by using ink on white paper, scratching black-smoked paper, or by using light on photographic paper. With most of these legacy seismic data now stored in archives and e...
Mapping spatial data is essential for the monitoring of flooded areas, prognosis of hazards and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world’s largest river delta and is prone to floods that impact social–natural systems through losses of lives and damage to infrastructure and landscapes. Millions of people living in...
Mapping coastal regions is important for environmental assessment and for monitoring spatio-temporal changes. Although traditional cartographic methods using a geographic information system (GIS) are applicable in image classification, machine learning (ML) methods present more advantageous solutions for pattern-finding tasks such as the automated...
The objective of this research is to evaluate Landsat OLI/TIRS multi-spectral images, and fusion of GRASS GIS, GMT and QGIS software for land cover mapping in Guinea, West Africa. The scenes of Landsat imagery were acquired on February 2014, 2018 and 2023. Land cover data were used from FAO for validation of classes. The images were classified into...
Certificate of my German Course 'Deutsch als Fremdsprache Oberstufe I', Niveau C1 in Salzburg, Universität Salzburg.
Certificate of my German Course 'Deutsche Wissenschaftssprache mündlich', Niveau C1 in Salzburg, Universität Salzburg.
Academic Skills: Reading and Writing level C1.1
This paper presents an R-based approach to mapping dynamics of the flooded areas in the Inner Niger Delta (IND), Mali, using time series analysis of Landsat 8-9 satellite images. As the largest inland wetland in West Africa, the habitats of IND offers high potential for biodiversity of the flood-dependent e c o systems. IND is one of the most produ...
My professional portfolio briefly summarizes my skills in in Cartography and Remote Sensing. It includes the selected examples of my works on RS data processing, including satellite image processing, cartographic modelling using DEM and terrain data, case studies on thematic mapping and modelling Earth Observation (EO) data. The illustrations are c...
This presentation deals with the problem of career building and perspectives in Germany. The problem discussed is that today's working life is complex and complicated which makes it difficult to find a way in working life. The main question discussed is on existing dilemma for young people today - careers or training? The reviewed statistics reveal...
Lake Chad, situated in the semi-arid region of African Sahel, plays a vital role in hydrogeological balance of regional ecosystems. It presents an essential water source and provides a habitat for rare wildlife species including migrating waterbirds. However, the lake has shrunk significantly since the 1960s and has continued to reduce in size and...
This study documents the changes in the Land Use/Land Cover (LULC) in the region of saline lakes in north Tunisia, Sahara Desert. Remote sensing data are a valuable data source in monitoring LULC in lacustrine landscapes, because variations in the extent of lakes are visible from space and can be detected on the images. In this study, changes in LU...
In this paper, the climate and environmental datasets were processed by the scripts of Generic Mapping Tools (GMT) and R to evaluate changes in climate parameters, vegetation patters and land cover types in Burkina Faso. Located in the southern Sahel zone, Burkina Faso experiences one of the most extreme climatic hazards in sub-saharan Africa varyi...
This paper presents the object detection algorithms GRASS GIS applied for Landsat 8-9 OLI/TIRS data. The study area includes the Sudd wetlands located in South Sudan. This study describes a programming method for the automated processing of satellite images for environmental analytics, applying the scripting algorithms of GRASS GIS. This study docu...
The volcanic Kerguelen Islands are formed on one of the world’s largest submarine plateaus. Located in the remote segment of the southern Indian Ocean close to Antarctica, the Kerguelen Plateau is notable for a complex tectonic origin and geologic formation related to the Cretaceous history of the continents. This is reflected in the varying age of...
In many civil engineering problems, soil is stabilized by a combination of binders and water. The success of stabilization is evaluated using seismic tests with measured P-wave velocities. Optimization of process, laboratory testing and data modelling are essential to reduce the costs of the industrial projects. This paper reports the optimized wor...
In this research project, the measurements of the ultrasonic P- and S-waves and seismic cone penetration testing (CPT) were applied to identify subsurface conditions and properties of clayey soil stabilized with lime/cement columns in the Stockholm Norvik Port, Sweden. Applied geophysical methods enabled to identify a connection between the resista...
This study presents new maps of the topographic and geophysical setting and seismicity in the region of the Gulf of Panama. The spatial analysis is based on the comparative analysis of the datasets on geoid, free-air gravity anomaly, topography and earthquakes. The cartographic framework is developed using the Generic Mapping Tools (GMT) scripting...
Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022 were classified using GRASS GIS scripts to evaluate changes in the Lorian Swamp wetland, north-eastern Kenya. T...
This paper aims to evaluate the effects of blended binders on the development of strength in moraine soils by optimising the proportion of several binders. We tested three types of soil as a mixture of moraine soils: A (sandy clay), B (clayey silt) and C (silty clay), collected in southern Sweden. The soil was compacted using a modified Proctor tes...
Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating land cover types to identify changes in the endorheic basins of the ephemeral salt lakes Chott Melrhir and Chot...
To optimize the workflow of civil engineering construction in a harbour, this paper developed a framework of the contaminant leaching assessment carried out on the stabilized/solidified dredged soil material. The specimens included the sampled sediments collected from the in situ fieldwork in Arendal and Kongshavn. The background levels of the conc...
Evaluating the subground properties during the initial stage of a construction of building is important in order to estimate the suitability of soil quality to the technical requirements of bearing capacity, resistance to stress, and strength. This study presented the evaluation of the geotechnical properties of soil intended for the construction o...
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on the technical advantages and capabilities of scripting the ‘raster’ and ‘terra’ R-language packages for computin...
In this paper, we present a new framework for improving soil strength using an advanced method of engineering statistics. The materials included clay till collected in Yttre Ringvägen, southern Sweden. Binders included quicklime, slag and ordinary Portland cement used as pure binders and blended mixtures. We first applied the Response Surface Metho...
This project addresses the challenges of vectorising the old seismograms which revitalise the existing archives by R2V
algorithms using ML methods. Challenge of big data in seismic
studies: massif volumes of historical seismograms from ROB exist and present a source of information. Archive old data must be processed, digitised and ‘revitalised’. In...
This project addresses the challenges of vectorising the old seismograms which revitalise the existing archives by R2V algorithms using ML methods. Challenge of big data in seismic studies: massif volumes of historical seismograms from ROB exist and present a source of information. Archive old data must be processed, digitised and ‘revitalised’. In...
The interactions between the geophysical processes and geodynamics of the lithosphere play a crucial role in the geologic structure of the Earth’s crust. The Bangui magnetic anomaly is a notable feature in the lithospheric structure of the Central African Republic (CAR) resulting from a complex tectonic evolution. This study reports on the coherenc...
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to approach this problem is through satellite image processing. In this paper, we primarily focus on...
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of biodiversity on the western coast of Africa. At the same time, climate issues and anthropogenic factors affect vuln...
This study is aimed at evaluating the strength of stabilised soil collected from the Port of Norvik, Stockholm, Sweden, where 350,000 m 3 of clay had to be stabilized. The tests were performed in the laboratory of the Swedish Geotechnical Institute (SGI). The soil was stabilised by binder mixtures using Portland cement clinker (PCC) and lime and li...
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches are based on traditional software with a graphical user’s interface which significantly limits their performance...
This study aimed at evaluating the effect of blended binders on the stabilization of clayey soils intended for use as road and pavement materials in selected regions of Sweden. The stabilization potential of blended binders containing five stabilizers (cement, bio fly ash, energy fly ash, slag and lime) was investigated using laboratory tests and s...
Clay soils can cause significant distress in road construction due to their low strength. Stabilizing such soil improve with binder agents prior to the geotechnical works can significantly its performance and ensure safety and stability of roads while exploitation. This research envisaged the use of five different binders (lime, energy fly ash, bio...
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity. The first algorithm utilizes Generic Mapping Toolset (GMT), which is known as an advanced console-based program for spatial data processing. The modules of GMT combin...
The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to explore strength characteristics of soil stabilised by several binders and evaluated using applied geophysical methods...
Certificate of Reviewing: Journal of African Earth Sciences
Archived seismograms recorded in the 20th century present a valuable source of information for monitoring earthquake activity. However, old data, which are only available as scanned paper-based images should be digitised and converted from raster to vector format prior to reuse for geophysical modelling. Seismograms have special characteristics and...
Evaluation of the representative cartographic techniques demonstrated that there are still considerable challenges facing the methods of marine geodetic, geophysical and bathymetric data visualisation. In an oceanic seafloor formation, the interaction between the geological structural elements and topographical relief can be analysed by advanced ma...
In this study, the stabilization process is introduced to a clayey expansive soil collected in southern Sweden. The tests examined strength parameters of expansive soil stabilized by different binders using combination of both traditional binders (cement and lime) and alternative materials (slag Merit 5000, fly ash from SCA Lilla Edet and fly ash f...
Featured Application
Libraries of the R programming language, including RStoolbox, raster and terra, were used to classify Landsat OLI-TIRS satellite images by k-means clustering and NDVI computation for comparative vegetation mapping of tropical rainforests for the period of 2013–2022 in the three target areas (Bumba, Basoko, Kisangani) of the mid...
Cette présentation décrit l'état actuel du développement du tourisme en Belgique. // This presentation describes current state of tourism development in Belgium.
Leaching behaviour is an important evidence of soil quality. The assessment of leaching of heavy metals from the contaminated soil is vital for environmental applications. However, leaching may differ in soil stabilised by various ratios of binders. In this study we measured leaching behaviour of soil contaminated by As, Cd, Co, Cr, Cu, Hg, Ni, Pb,...
In this paper we propose a new technique of soil stabilization for road construction based on using new alternative binders. The project aims to evaluate the effects of alternative additive materials in soil stabilization contexts for road construction. The alternative binders (slag, energy ash and bio ash as new alternative road construction mater...
This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM-2008, and vector geological layers from the USGS. The data were iteratively processed in the console of GMT, converted by GDAL, formatted, and mapped for geophysical data vis...
In this paper, we propose an advanced scripting approach using Python and R for satellite image processing and modelling terrain in Côte d’Ivoire, West Africa. Data include Landsat 9 OLI/TIRS C2 L1 and the SRTM digital elevation model (DEM). The EarthPy library of Python and ‘raster’ and ‘terra’ packages of R are used as tools for data processing....
Evaluating the structure of soil prior to building construction is valuable in a large variety of geotechnical and civil engineering applications. To built an effective framework for assessing the strength of the stabilised soil, the presented workflow includes a complex approach of simplex lattice design and X-ray diffraction for the analysis of s...
This paper addresses the problem of stabilisation of poor subgrade soil for improving its engineering properties and stiffness. The study aim is to evaluate the effects from single and mixed binders on the gain of strength in sandy soil over the period of curing. We propose an effective non-destructive approach of using P-waves for identifying soil...
This study demonstrated the use of GRASS GIS scripts for satellite image analysis. The aim is to perform topographic and environmental analysis in eastern China, Shandong Province, Qingdao region. Variables include land surface temperature evaluated by correlation between the Landsat ETM+ channels and colour composites. The methodology is based on...
The study investigates the effect of Portland cement and ground granulated blast furnace slag (GGBFS) added in changed proportions as stabilising agents on soil parameters: uniaxial compressive strength (UCS), Proctor compactness and permeability. The material included dredged clayey silts collected from the coasts of Timrå, Östrand. Soil samples w...
Certificate of Reviewing: Spatial Statistics
Certificate of Reviewing: Acta Ecologica Sinica
This research describes a script-based method of Generic Mapping Tools (GMT) for mapping the seismicity, geophysics, geology and topography of Ecuador. The advances of GMT include the following points: (1) automation of workflow; (2) refined aesthetics of graphics; (3) speed console-based mapping; (4) multi-format data handling; (5) advanced syntax...
In the present research, a scripting cartographic technique for the environmental mapping of Ethiopia using climate and topographic datasets is developed. The strength of the Generic Mapping Tools (GMT) is employed for the effective visualisation of the seven maps using high-resolution data: GEBCO, TerraClimate, WorldClim, CRUTS 4.0 in 2018 by cons...
This paper presents a case of the script-based cartographic data processing by the Generic Mapping Tools (GMT) and R language for geophysical mapping. The study area is located in Rwanda, Africa, which is notable for complex geological setting due to its specific location within the East African Rift. The active continental zone of the East African...
This paper presents a GMT scripting technique for mapping seismic moment tensor solutions. The underlying geophysical properties and settings of the Philippine Sea Plate (PSP) situated on the margins of the Pacific Ocean are analysed. Active volcanism and high seismicity of this region located along the margins of the Philippine Sea Basin (PSB) res...
Before digital recordings became available in the 1970s, the ground motion was recorded using ink on white paper, scratching black-smoked paper, or light on photographic paper. While those analog seismic records offer unique continuous observations from the last century, most of them are now stacked and archived in boxes and potentially exposed to...
Certificate of Reviewing: Journal of Hazardous Materials
This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions: Kalahari Desert, Makgadikgadi Pan and Okavango Delta. While desert regions are prone to droughts and periods of extrem...
Integrated geophysical mapping benefits from visualizing multi-source datasets including gravity and satellite altimetry data using 2D and 3D techniques. Applying scripting cartographic approach by R language and GMT supported by traditional mapping in QGIS is presented in this paper with a case study of Iranian geomorphology and a special focus on...
Certificate of Reviewing: Applied Geochemistry
This paper presents an experimental study on the leaching of heavy metals, toxic chemicals and persistent organic pollutants (POPs) – PAH, PCB and HCB – from soil dredged from the coastal area of Västernorrland in northern Sweden. The soil was stabilized with cement/slag. Samples were subjected to modified surface leaching and shake tests using tec...
Questions
Question (1)
Does anybody know how to add correctly shell scripts at RG ? It seems that it does not recognize the extension format. I tried to add .sh files but had to remove the extension eventually, which is not quite correct. And one more question about language identification: it only 'feels' and identifies R, but ignores Python and Octave/MATLAB native .m-files. Does anybody know the solution ? Thanks !
