Relief Map Research Articles

“Men don’t feel comfortable with successful female leaders”: exploring participatory exclusion in community-based fisheries management, South Coast of Kenya

While community-based fisheries management (CBFM) is promoted as a promising approach to achieving sustainable fisheries management, its inclusiveness is increasingly questioned in the literature. Studies that explore the inclusion of gender along other intersectional social identities in CBFM are scarce. This research gap may limit a comprehensive understanding of power dynamics in fisheries settings, while reinforcing exclusive approaches in fisheries governance. In this study, we draw on literature on participatory exclusion, intersectionality and lived experiences, to examine gender-inclusiveness in CBFM through a case study on the South Coast of Kenya. We applied qualitative data collection methods, combining participant observation, semi-structured interviews (n=18), focus group discussions (n=6) and relief maps (n= 32). Our findings indicate that women’s participation in CBFM is limited and systematically lower than men’s participation. Barriers to women’s participation in CBFM are complex and interlaced, including socio-cultural, economic, and institutional barriers, and specific restrictions to women’s access to leadership. In addition, our findings highlight the intersected nature of lived experiences related to CBFM places and suggest that CBFM may sustain and reinforce social inequalities in fishing communities. Overall, our results tend to confirm the relevance of the participatory exclusion concept to CBFM in coastal Kenya. Our study demonstrates the importance of applying an intersectional framework to study the complexity of power relationships in CBFM contexts, as well as fisheries management and governance. We conclude by providing key recommendations towards inclusive management approaches in fisheries settings.

Terrain analysis in forested areas: consequences of using DSM instead of DTM

Abstract. Relief mapping through dense tropical forest is a challenge, which can be met by processing radar images. Various global digital elevation models (DEMs) are available, either free or paid, the most widely used methods for producing them at global scale being photogrammetry and short wavelength radar interferometry. However, the resulting DEMs do not directly represent the ground surface but rather the canopy or something in between. Since most users need terrain models for a variety of applications in geoscience, water management etc. but use such canopy models for lack of anything better, it was relevant to assess the consequences of this inappropriate but unavoidable choice. This paper presents a study carried out in the Brazilian Amazon, where an airborne P-band radar interferometric DEM was used as a reference based on its accuracy assessed in previous studies. A well-established DEM (SRTM) and newer ones (Copernicus and Fabdem), as well as a DEM obtained from aerial X-bands radar data, were compared to the reference according to different criteria related to elevation (accuracy and a typical application, i.e., dam filling simulation) and to slope at different scales (accuracy and a typical application, i.e., terrain classification). The results highlighted the risks of using short wavelengths to represent the terrain and emphasized the importance of slope in different resolution scales.

Geophysical and geospatial insights into surface and subsurface characteristics for groundwater potential analysis, Ras Sudr, West Sinai, Egypt

Ras Sudr has garnered significant interest owing to various initiatives aimed at expanding and developing this area. It holds considerable strategic importance, serving as a key development hub in Sinai and a focal point for tourism destination. Moreover, it has a remarkable event with flashfloods which can be utilized for groundwater or direct usage. Integrating geophysical and geospatial analyses to study the surface and subsurface characteristics as well as identify groundwater potential areas in Ras Sudr, west-central Sinai is the main objective of this study. Firstly, geophysical data including gravity and magnetic methods have a crucial importance in qualitative and quantitative interpretation of the subsurface elements. Filtering techniques were implemented to distinguish between regional and residual anomalies. Geophysical data were subjected to the radial average power spectrum technique and 3D Euler deconvolution to identify the depth of the subsurface sources. The structure pattern that characterizes the interested region was defined by employing bandpass filter and edge detection appoarches using residual anomaly maps, regional anomaly maps, tilt derivatives and total horizontal gradient maps reflecting four distinct structural trends; NW-SE parallel to the Gulf of Suez, NEE-SWW parallel to the Syrian arc system, N-S parallel to the the Nile Valley, and NNE-SSW parallel to the Gulf of Aqaba. A basement relief map was constructed using 3D magnetic modelling showing that the depth of the basement ranges from 1.6 to 6.3 km. Secondly, the remote sensing data including Sentienl-2 and SRTM datasets were employed to extract the surface analyses in the GIS environment to develop the occurrence of groundwater potentiality utilizing seven factors; LU-LC, soil, geology, slope, drainage network and lineament density and rainfall data of the study area which were ranked from 1 to 5 and weighted according to their effective contribution to the infiltration of groundwater using AHP-GIS based multi criteria method. The resulting Groundwater Potential zone (GWPZ) was categorized into five zones from poor to excellent and validated using 41 observed wells. A significant quantity of wells was identified in the areas of high potential located to the west of the region, while five wells were situated within the moderate potential zone. Thereby, the GWPZ map identifying locations with viable groundwater resources suitable for habitation, development and economic plans in Sinai for decision makers.

Everyday reality of children in rural Catalonia (Spain): experiences and emotions

ABSTRACT The pandemic has been the catalyst for many families with young children to leave the urban environment and settle in rural areas, attracted by discourses that are in tune with the imported and classic ‘ideal of rural childhood’: natural environment, freedom, autonomy, mutual help, peace and quiet. However, we do not know to what extent this ideal construction of childhood in rural areas corresponds nowadays to the everyday reality of children. In this article we analyse the daily experiences and emotions of children in rural areas of Catalonia (Spain). By applying a qualitative methodology that allows children to express themselves, we provide a critical reading of the current rural areas based on children’s lived experiences. The use of the relief map as a methodological tool makes possible to graphically capture children’s emotions related to places. The research fills a gap on the current rural childhood experiences in non-Anglo-Saxon contexts, places the concept of the rural ideal in the Catalan environment and provides insight into the diversity of rural childhoods based on children’s experiences and emotions.

Clarification of the structure of the Parfenov horizon based on generalization of the results of regional seismic surveys within the Angara–Lena oil and gas region

The results of regional geological exploration at the expense of the federal budget in the territory of the Angara–Lena oil and gas region from 2006 to 2017 are analyzed. Based on a comprehensive interpretation of data from geophysical surveys of wells and seismic surveys, relief maps of the roof of the Chora Formation, thicknesses and sandiness of the Parfenov gas-bearing horizon were updated. Based on the interpretation of a complex of GIS data, seismic exploration and deep drilling, a conclusion was made about the nature of the change in the sand content of the Parfenov gas-bearing horizon.

Analysis of drainage morphometry and spectral indices using earth observation datasets in Palar River basin, India

In this research we analyzed the morphometric parameter of Palar River basin by using the satellite data from open sources for monitoring drainage network. Palar River basin covers 1972.27 sq.km areas with elevation of 226.9 m as highest and 38.01 m lowest above mean sea level. In this research it detected that Palar River basin having 5th order stream with drainage density of 0.40 km/km2 and drainage pattern of dendritic to rectangular. We also draw aspect map, relief map and slope map for the research area by using digital elevation model (DEM) data of 30 m resolution. In this research we also employed spectral indices like normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and soil adjusted vegetation index (SAVI) for the vegetation, water and soil characteristics of the research area. In this research it found that there are major changes in land use/land cover as water bodies and land during these periods of 15 years. Highly positive correlation show between morphometric parameter and spectral indices. In this research groundwater level data for the year 2005 and 2020 are used to validation the study. This research work is very useful in developing solutions for dealing with different types of drought and management of groundwater extraction plans.

Comprehensive geospatial mapping and monitoring of an eastern coalfield in India

Geospatial mapping and monitoring are crucial for designing slopes in opencast mining, as failure can result in significant economic and life loss. To overcome these issues, the present investigation evaluated the Digital Elevation Model (DEM) generated using high resolution Cartosat-1 satellite imagery. Simultaneously, mapping of shaded relief map, aspect map and slope maps was done for the monitoring of Shatabdi opencast coal mine of Jharia region, an eastern coalfield region of India. Shaded relief map was categorized in to low, moderate and high categories and maximum area was covered by moderate to high shades. The constructed aspect map encompasses the range between 0 and 360 degrees of direction, with categorization and representation through distinct colors. The slope map was classified into various categories based on degrees of slope, including very gentle, gentle, moderate, moderately steep, steep, and very steep slopes. The maps were ground validated using Differential Global Positioning System (DGPS) collected data points by field visit in the region. For opencast mines to operate safely and profitably, slope stability in different stages of mining must be mapped and monitored. The study synthesizes data from diverse sources, highlighting the role of geospatial technology in addressing multiple research gaps within the mining industries prior to leveraging Cartosat-1 satellite data. Slope mapping and monitoring of coalfield regions are crucial to reducing construction costs, mitigation of natural hazard risks like flooding and landslides, and effective conservation of natural resources such as soils, vegetation, and water systems. The present study benefits policymakers, environmental planners and government in formulating policies to ensure safety, reliability, and enhance the economic growth of workers and the country.

Особенности проведения мониторинга атмосферного загрязнения с использованием данных мобильного измерительного комплекса

One of the main problems facing humanity is the fight against air pollution. The atmosphere is an extremely vulnerable component of the environment. It absorbs all pollution from land, sea, and air transport; energy and agriculture; and heavy and light industry. Global climate change is also associated with an increase in toxic pollutants and greenhouse gases in the atmosphere. Delay in carrying out measures to cleanse the atmosphere can be fatal. A mandatory element of these activities is the monitoring of atmospheric pollution. The development of new tools for monitoring, modeling pollution, and presenting results, including the creation of software, is an urgent task. The article provides a classification of atmospheric pollution models and shows that pollution also depends on the meteorological parameters of the environment. To monitor atmospheric pollution and meteorological parameters, a software and tool system has been created that covers all stages of the study: collection, processing, and presentation of data. Data collection is carried out using a mobile measuring system based on a UAZ vehicle. “Interface” software has been developed to enter data into a computer. The processing of monitoring data and the creation of a model are carried out based on the Group Method of Data Handling (GMDH). A multi-layer electronic monitoring map was created to display the results. The map allows us to display maps of individual air pollutants, an air quality map, relief maps and their derivatives, and a map depicting the area. All software was developed specifically for this study using the MATLAB programming environment.

Construction, Control and Optimization of Stacked Relief Maps

Construction, Control and Optimization of Stacked Relief Maps

Monumentalizing Landscapes: Ontologies of Scale and Guatemalan National Consolidation

ABSTRACT: In 1905, Manuel Estrada Cabrera, one of Guatemala's most infamous dictators, inaugurates a gargantuan relief map, one of Latin American's most dramatic cartographic projects of the time. In 1882, the nation had relinquished vast regions of its territory to Mexico. This exemplified the region's fragility in the face of continuous Central American civil wars and a commercial weakness that rendered Guatemala vulnerable to foreign intervention, both political and economic. In this context, Guatemalan was faced with foundational narrative voids and a lack of any semblance of national identity. In this essay I contend that the state turned to the nation's volcanic geography as a solution: its dramatic landscapes could serve as both settings and protagonists for an alternative spatial narrative. I argue that the relief map can be read as an ideal fossilized artifact capturing these symbolic operations imposed by Guatemala's creole liberal elite within the complex global and national spatial dynamics of the time. In its monumentality, the map attempted to symbolically tap into and domesticate the power of the nation's landscape for the sake of national consolidation: a case of the natural sublime turned cultural/political sublime. In the process, and underlying these symbolic spatial operations, the State inflicted unprecedented violence on nature and rendered invisible entire sections of the population. The project ultimately fails, however, because the semantic power of a volcanic landscape is predicated on a chaotic and volatile land that had seeped into popular and political imagination through a long history of natural disasters and corresponding social turmoil.

Study of land potential based on soil characteristics using interpolation and scoring methods for non agricultural uses: a case study in Wonosalam, Jombang District, East Java

The state asset land managed by UPN "Veteran" East Java is located in the Wonosalam District based on land certificate data issued by the Jombang BPN covering 13.5 hectares. Currently more than 50% of the land has not been used optimally to support learning, research and community service. The problems that arise in utilizing land assets to support learning, research and community service are 1) the legal boundaries of land ownership are not yet clear, 2) there is no land use master plan to support the learning process, 3) there is no potential data that can be used. prepare use and development plans. Against the background of the problems above, this research aims to map the potential of state land assets by "spatial interpolation, scoring and weight overlay" of land characteristics. Interpolation is a way of calculating the area of several representative measurement points, while scoring and "Weight Overlay" is a facility provided by ArcMap GIS which combines input spatial data with weighting (weight factor) and scoring. Land unit maps are obtained from overlaying relief, geology, slope and land use maps. Interpolation, Scoring and Weight Overlay of the nine land characteristics yielded a potential land asset for buildings, good category 16.61% (44,130.38 m2); moderate 25.66% (67,382.75 m2) and bad 7.523% (19,784.88 m2). Playing field potential, good category 54.73% (71,865.05 m2) and medium 45.27% (59,432.62 m2). Potential for road infrastructure development in the good category 32.38% (42513.74 m2); Moderate 42.68% (56035.24 m2) and Bad 24.94% (32748.69 m2), and all of these potentials are in Slightly Flat topography (Slope, 0-3%) to hilly (Slope, 15-25%).

Making Different Topographic Maps with the Surfer Software Package

The main objective of this study is to describe the preparation of topographic maps using the Surfer software. A total of 159 regularly distributed Ground Control Points (GCPs) were collected with the use of the Differential Global Positioning System (DGPS). Seven methods (Contour Map, Post Map, 3D Surface Map, 3D Wireframe Maps, Grid Vector-1 Map, Color Relief Map, and Shaded Relief Maps) at the Surfer environment were used to prepare the topographic maps at the Mukhtar Village near the Al-Fallujah City. Contour lines with other features were superimposed on the DEM layer, which refers to the topography of the terrain inside this study area. The accuracy of the database's results was estimated, essential maps were given, and the results were efficient and effective. The most appropriate method to represent topographic maps was proposed, each of these techniques has been enough to provide us with a general understanding of the subject area.

Porphyry and skarn Cu prospectivity of Sumatra with GIS spatial modelling techniques

Although Sumatra Island hosts only one mid-sized, economically viable porphyry Cu deposit and a few exploited Cu-rich polymetallic skarns, studies indicate that more Cu resources remain to be discovered. This contribution integrated geochemical, structural, and relief evidential layers with the fuzzy logic- and weights-of-evidence (WoE) methods to produce mineral prospectivity maps that show a strong correlation between the generated favourable areas and the existing porphyry and skarn Cu prospects, as well as potentially new exploration districts throughout Sumatra. Moreover, a local singularity fractal map of Cu-enriched zones reduces the proposed target areas and cross-validates the results of the fuzzy model. The inclusion of relief data in the modelling filters out signal noise arising from other evidential layers and overcomes the over-fitting issue encountered in the model that excluded a relief map. The resulting Cu potential maps can thus be used as base maps for regional porphyry and skarn Cu exploration.

LIDAR AND NEW DISCOVERIES OF HILLFORTS IN LATVIA

In the last four years, an explosion-like process of discovering new hillforts has been observed. This has been made possible due to the public availability of LIDAR relief maps and point-cloud data collected in the scanning process. This paper aims to describe the practical process of working with LIDAR data in discovering, describing and registering new hillforts, as well as look for answers to the question of why have so many hillforts (77 in the time from 2018 until 2021) only been discovered now and using remote sensing data. The paper gives an insight into the process of collaboration between professional archaeologists and history enthusiasts that spend countless hours going through LIDAR maps looking for relief transformations characteristic of hillforts. The result of this collaboration is an impressive number on new hillfort sites that change our views on settlement patterns and social processes in Latvian prehistory, especially in the Latgale region. This region has by far the highest number of new hillfort sites and it seems that the reasons for only discovering these hillforts with remote sensing data is related to the ethnic history of the region and the loss of hillfort folklore because of demographic and migration processes.

Using unmanned aerial vehicles and geographic information systems for mapping the soil cover of the territory

The article presents the results of soil mapping of the territory using unmanned aerial vehicles and geographic information systems. Data from a geomorphological study of the site are provided. Using leveling survey and SRTM survey data in the QGIS geographic information environment, a digital relief map of the territory with a cross-section height of 1 meter was created. It was found that the height range varies from 53.72 to 61.46 meters above sea level. Data from a geobotanical survey of the territory, carried out with an adjustment for the accuracy of identifying the boundaries of plant associations using aerial photography from a UAV, are presented. 30 plant associations were identified. A study of the morphological and physicochemical properties of soils in the mapped area was carried out. A digital geobotanical and soil map was created in the QGIS geographic information environment. It was revealed that the soil cover is represented by sod-podzolic medium-humus soils of heavy texture with a clear differentiation of the soil profile by the content of the silt fraction. The soils have a strongly acidic reaction of the environment (pHKCl 4.36). The degree of acidity decreases with depth. The value of hydrolytic acidity, depending on the horizon, varies within 5.49-5.84 mmol (eq)/100 g, reaching maximum values in the podzolic horizon. Differentiation of the values of the cation exchange capacity and the degree of saturation of the bases along the profile was revealed, the minimum values are characteristic of the eluvial horizon.

INVESTIGATION OF GRASSLANDS IN THE MOUNTAIN AREA THROUGH OPEN SOURCE SOLUTIONS. CASE STUDY

The grasslands in the mountainous area of Romania are located in places that are difficult to access and therefore difficult to investigate through field studies; furthermore, the data collected in this way are punctual. As an alternative solution, there is the possibility of accessing Open Source data and software through which scientific information can be extracted from different spheres of research and continuous images can be obtained, over the entire surface of interest. In this context, the purpose of the research was to apply Open Source solutions for extracting "basic" information (location, delimitation and framing in the area, relief, geology, soils and so on) for the Ps Baru grassland, in the Tulişa mountains. The workflow was applied with Open Source software and data, taken from profile platforms and can be extended for any grasslands, regardless of their location or size. As a result of the research, it was found that: the grassland is located in the Tulişa Mountains, has an area of 309 ha and is surrounded by forest, which can be interpreted as an alarm signal about the risk of afforestation to which it is subjected. The grassland is located between 1200 - 1600 m altitude, and the relief is fragmented by the valleys of some rivers. Exploitation roads are present on the counter lines. Based on the longitudinal and transversal profiles, but also through the analysis of the generated relief maps, it was observed that the land slopes from the southwest to the northeast. In the subsoil of the analyzed grassland, the Tulişa Series and the Sebeş Series are predominantly present, and from a pedological aspect, two types of soil predominate, respectively districambosol and rendzin, on smaller surfaces. The use of Open Source data, for the characterization of grassland surfaces, offers a series of advantages: the possibility of using data sets of different types based on the complex characterization of the investigated surface can be done; free use of programs and data; the possibility of extracting the data without going to the field.

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High velocity lower crust with anomalous rheological parameters under the Red Sea Passive Margin, SW Saudi Arabia – insight into the evolution of the Hijaz-Asir Escarpment Zone

SUMMARY The Red Sea Passive Margin (RSPM) in SW Saudi Arabia is characterized by two morphological provinces; the Red Sea Coastal Plains (RSCP) and the Hijaz-Asir Escarpment Zone (HAEZ) at the Arabian Shield Edge (ASE). Of these, the HAEZ is conspicuous by its seaward-facing heights of > 3 km. Based on the available receiver function analysis (REF) results from 25 seismic stations, we first present the Moho relief map underlying the RSPM to demonstrate that: (i) the transitional crust under the coastal region is 20–25 km thick which steadily increases landward to attain a thickness of ∼40 km below ASE, across an intervening region of depressed Moho with depths of 45–52 km. The latter exhibits significant regional extent and displays a close correlation with the topography of the HAEZ, suggesting a tectonic control on its formation. Eight rheological parameters for the upper as well as the lower crust are computed from the REF data, namely; Vp, Vp/Vs, density (ρ), Lame's first constant (λ), Lame's second constant (μ), Poisson's ratio (σ), bulk modulus (K) and acoustic impedance (AI). Their 2-D distribution for the lower crust unravels, for the first time, a high velocity lower crust (HVLC) underneath the HAEZ. The rheological character of the HVLC is further elucidated by investigating the relations between six rheological parameters: Vp–Vp/Vs, Vp/Vs–lower crustal thickness (hLC), Vs/ρ–hLC, λ–ρ, σ–ρ and λ–μ. The results indicate that lithology of the lower crust varies from diorite–felsic gneiss under RSCP to gabbro–diabase and mafic gneiss under HAEZ. We conjecture that the HVLC is an outcome of the exchange of materials from the subcrust at the hinterland of the RSPM directly underlying the HAEZ. Deep seismic control can only resolve the finer details of such crustal transformation.

Mapping and Assessment of Geological Lineaments with the Contribution of Earth Observation Data: A Case Study of the Zaer Granite Massif, Western Moroccan Meseta

The Zaer granitic massif is one of the most important Variscan granitoids in the Central Zone of the Western Moroccan Meseta. It is characterized by a deformation which is manifested by a network of fractures of different scales. Thanks to the technology currently available, many geological studies rely heavily on the mapping of geological lineaments, especially in structural geology. This has become more reliable with access to earth observation data using optical and radar sensors as well as the various remote sensing techniques. Therefore, the objective of this work is to determine the potential of Landsat 8, ASTER, Sentinel 2 and radar Sentinel 1 datasets using the automatic method to extract lineaments. Furthermore, this work focuses on quantitative lineament analysis to determine lineament trends and subsequently compare them with global and regional tectonic movement trends. The lineaments obtained through different satellite images were validated by including the shaded relief maps, the slope map, the correlation with the pre-existing faults in the geological maps as well as the field investigation. Comparison of these results indicates that Sentinel 1 imagery provides a better correlation between automated extraction lineaments and major fault zones. Thus, Sentinel 1 data is more effective in mapping geological lineaments. The final lineament map obtained from the VH and VV polarizations shows two major fault systems, mainly oriented NE-SW and NW-SE to NNW-SSE.

Innovative solution for relief printing without limiting heights

Abstract. By following technological developments in 3D printing, IGN experimented in 2015 with an ink jet-based relief printing solution, proposed by the Océ company. The first result was presented at the International Cartographic Conference in Rio de Janeiro in 2015, for the Belle-Ile map. The proposed technology solved several essential needs for relief mapping: high printing resolution, large size, colorimetric respect, ... But it still faced two problems: still high printing costs for the general public (compared to the prices of thermoformed maps produced in multiple copies) and still limited printing heights (less than 2–3 cm). In 2022, IGN proposed an innovative solution to overcome the problem of limiting printing heights, without increasing production costs. The new solution combines the previous ink jet relief printing technology with the Stratoconception® technology existing in the 3D printing domain. The solution is presented in detail in this paper with an example result.