scholarly journals Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement

2022 ◽  
Vol 14 (1) ◽  
pp. 219
Author(s):  
Dorothée James ◽  
Antoine Collin ◽  
Antoine Mury ◽  
Rongjun Qin
Keyword(s):  
Control Point ◽  
Habitat Mapping ◽  
Slope Aspect ◽  
Coastal Habitat ◽  
Topographic Position Index ◽  
Landform Classification ◽  
Surface Models ◽  
Position Index ◽  
The Impact

The evolution of the coastal fringe is closely linked to the impact of climate change, specifically increases in sea level and storm intensity. The anthropic pressure that is inflicted on these fragile environments strengthens the risk. Therefore, numerous research projects look into the possibility of monitoring and understanding the coastal environment in order to better identify its dynamics and adaptation to the major changes that are currently taking place in the landscape. This new study aims to improve the habitat mapping/classification at Very High Resolution (VHR) using Pleiades–1–derived topography, its morphometric by–products, and Pleiades–1–derived imageries. A tri–stereo dataset was acquired and processed by image pairing to obtain nine digital surface models (DSM) that were 0.50 m pixel size using the free software RSP (RPC Stereo Processor) and that were calibrated and validated with the 2018–LiDAR dataset that was available for the study area: the Emerald Coast in Brittany (France). Four morphometric predictors that were derived from the best of the nine generated DSMs were calculated via a freely available software (SAGA GIS): slope, aspect, topographic position index (TPI), and TPI–based landform classification (TPILC). A maximum likelihood classification of the area was calculated using nine classes: the salt marsh, dune, rock, urban, field, forest, beach, road, and seawater classes. With an RMSE of 4 m, the DSM#2–3_1 (from images #2 and #3 with one ground control point) outperformed the other DSMs. The classification results that were computed from the DSM#2–3_1 demonstrate the importance of the contribution of the morphometric predictors that were added to the reference Red–Green–Blue (RGB, 76.37% in overall accuracy, OA). The best combination of TPILC that was added to the RGB + DSM provided a gain of 13% in the OA, reaching 89.37%. These findings will help scientists and managers who are tasked with coastal risks at VHR.

scholarly journals Multiscale Landforms Classification Based on UAV Datasets

2018 ◽  
Vol 3 (2) ◽  
pp. 128
Author(s):  
Jean A. Doumit
Keyword(s):  
Unmanned Aerial Vehicles ◽  
High Spatial Resolution ◽  
Topographic Position Index ◽  
Topographic Slope ◽  
Morphometric Features ◽  
Surface Models ◽  
Very High Spatial Resolution ◽  
Position Index ◽  
Very High

<p><em>The advance uses of Unmanned Aerial Vehicles (UAV) in geosciences by producing very high spatial resolution Digital Surface Models (DSMs), the various UAV flight altitudes led to different scales DSM. In this paper, we analyzed terrain forms using Topographic Position Index (TPI), landforms extracted by Iwahashi and Pike method and morphometric features</em><em> </em><em>of three different spatial resolutions DSM processed from different UAV flights height datasets of the same study area.</em></p><p><em>Topographic </em><em>P</em><em>osition </em><em>I</em><em>ndex (TPI) is an algorithm for measuring topographic slope positions and to automate landform classi?cations,</em><em> </em><em>Iwahashi and Pike had developed an unsupervised method for classification of Landforms and we have used the techniques developed by Peuker and Douglas, a method classifying terrain surfaces into 7 classes.</em><em></em></p><em><em>Landforms extracted from the three indices listed above at the three flight heights of 120, 240 and 360 meters and compared with each other to understand the generalization of different scale and to highlight which landforms are more affected by the scale changes.</em><br /></em>

scholarly journals Landform classification using GIS techniques. The case of Kimi municipality area, Euboea Island, Greece.

2016 ◽  
Vol 47 (1) ◽  
pp. 264 ◽  
Author(s):  
I. Ilia ◽  
D. Rozos ◽  
I. Koumantakis
Keyword(s):  
Spatial Analysis ◽  
Power Index ◽  
Stream Power ◽  
Topographic Wetness Index ◽  
Wetness Index ◽  
Topographic Position Index ◽  
Landform Classification ◽  
Essential Parameter ◽  
Position Index ◽  
Stream Power Index

The main objective of this paper is to classify landforms in Kimi municipality area of Euboea Island, Greece using advanced spatial techniques. Landform categories were determined by conducting morphometric analysis through the use of advanced GIS functions. In particular, the process of classifying the landscape into landform categories was based on Topographic Position Index (TPI). The main topographic elements such as slope inclination, aspect, slope shape (curvature), topographic wetness index and stream power index were obtained from the DEM file of the study area. Landform classification was obtained using TPI grids and the classes were related with the geological pattern and the land cover by sophisticated spatial analysis function. The knowledge obtained from the present study could be useful in identifying areas prone to land degradation and instability problems in which landforms are identified as an essential parameter

ROZTOCHIA LANDFORM MORPHOTYPES

2020 ◽  
pp. 52-72
Keyword(s):  
Semantic Analysis ◽  
Slope Position ◽  
Pixel Size ◽  
Slope Gradient ◽  
Morphological Classification ◽  
Morphometric Measurements ◽  
Topographic Position Index ◽  
Position Index ◽  
English Speaking

The issues of relief morphotype classification have not been solved yet, as there are no clear criteria for their selection. The article proposes to use semantic-oriented morphometric relief analysis for relief classifying. The algorithm of its implementation is as follows: 1) reasonable classificating taxonomic relief units; 2) defining their semantic names; 3) evaluating and selecting the morphometric descriptors of identified morphotypes. The study is based on the results of field landscape observations in the Ukrainian part of The Roztochia, which were accompanied by instrumental morphometric measurements and landscapes panoramic photographing. For morphometric analysis of The Roztochia, the digital relief model (DEM) of SRTM 30 version 2.1 with pixel size (60x60 m) has been used, for its Ukrainian part the authors have built DEM on the basis of synthesized horizontals of topographic maps of scale 1:10000 and 1: 25000, laying of horizontals 1 m and 5 m, pixel size (15x15 m). By means of ArcGis 10.0 software package, the following models have been created: slope gradient, horizontal dismemberment, vertical dismemberment (relative elevation), aspect, elevation levels, thalwegs, watersheds, Landform Classificaton, Slope Position Classificaton, Topographic Position Index. The analysis of these models made it possible to select identification descriptors for selecting meso-relief units, i.e. area (according to R. Dikau (1990)), relative elevation, mean slope, compactness. It has been established that the meso-relief gradation of subcategory “B” in The Roztochia differs slightly in area from the “standard” one after R. Dicau and is in range of 105–108 m2. This proves that the morphometric descriptors of the morphological classification of the relief units need to be determined according to the features of the region separately for plains, heighlands and mountains. The semantic analysis made it possible to give names to the selected units of meso-relief. The main names of relief units, used in Polish and Ukrainian literature have been analyzed, and their English-speaking counterparts have been found. The map of The Ukrainian Roztochia meso-relief has been created. The following meso-relief units are distinguished: high-gradient hill, medium-gradient hill, lawe gradient hill, knoll, ridge, escarpment, longitudinal depression, upper plain, lower plain, basin, valley. Nearly 70% of the region is occupied with hill. Keywords: landform morphotype; mesorelief; Roztochia; semantics.

scholarly journals Ambientes de ocorrência do porífero Oncosclera jewelli no Parque Estadual Do Tainhas, Planalto Meridional do RS: uma análise geomorfométrica

2021 ◽  
Vol 43 ◽  
pp. e41
Author(s):  
Francine De Oliveira Maciel ◽  
Clódis De Oliveira Andrades-Filho ◽  
Pâmela Boelter Herrmann ◽  
Mateus Da Silva Reis ◽  
Erli Schneider Costa ◽  
...  
Keyword(s):  
Buffer Zone ◽  
Aerial Images ◽  
Slope Aspect ◽  
Rio Grande Do Sul ◽  
Freshwater Sponge ◽  
Entire Study ◽  
Topographic Position Index ◽  
Position Index ◽  
Geological Map ◽  
Entire Study Area

Tainhas State Park embraces locations of occurrence of freshwater sponge Oncosclera jewelli. Our objective is to indicate the areas of potential occurrence of the species from factors related to the geomorphometric signature of the occurance points along the Tainhas River in the Park and its buffer zone. Connections and data analysis were performed from the construction and manipulation of a geographic database, in SIGs SPRING-5.4.3 and QGIS-2.18, containing: a) MDEs from Topodata, Embrapa and Alos bases, obtained by remote orbitals sensors for the entire study area, and MDE obtained by drone-generated aerial images of the geomorphometric variables: slope, aspect and topographic position index; b) geological map of Rio Grande do Sul; c) land use and coverage map, based on images from the GeoEye satellite. The results demonstrated that the species occurs exclusively on the lithological unit of Serra Geral Formation. The plain is marked by terrain of low slope and south and east orientation and flattened plains. The Potential Occurrence Map of the species was generated, demonstrating that approximately 4.5% of the total length of watercourse stretches in the study area meet the analyzed geomorphometric conditions.

scholarly journals Morphological and Morphometrical Analyses Reveal the Avalanche Influence over the Talus Cones in the Rybi Potok Valley, Tatra Mountains

2015 ◽  
Vol 49 (1) ◽  
Author(s):  
Michał Lempa ◽  
Ryszard J. Kaczka ◽  
Zofia Rączkowska
Keyword(s):  
Morphometric Parameters ◽  
Roughness Coefficient ◽  
Tatra Mountains ◽  
Research Knowledge ◽  
Physical Weathering ◽  
Topographic Position Index ◽  
Maximal Height ◽  
Position Index ◽  
The Impact

AbstractIntense physical weathering engenders formation of scree cones at the foot of slopes dissected by couloirs. Combination of several geomorphic processes operating within the slope results in formation of cones of a polygenetic character (talus-alluvial cones, rockfall talus cones, or – in particular cases, talus-alluvial-avalanche cones). This study was aimed at determination of morphometric parameters characteristic for particular morphogenetic types of the cones in the Rybi Potok Valley in the High Tatra Mountains. For the purpose of the research, knowledge about the terrain and available cartographic materials (geological, geomorphological and topographical maps, LiDAR data) were employed. In the studied valley, 24 cones were selected and for each of them, morphogenetic types and morphometric parameters (surface, minimal and maximal height, roughness coefficient, Topographic Position Index) were determined. The correlations between different parameters enabled establishment and determination of the combination of morphometric parameters typical for the particular types of the cones. The impact of snow avalanches on one of the cones (at the mouth of Żleb Żandarmerii) was identified. This cone has morphometric parameters dissimilar to those of the other cones in the studied valley. It is the only cone in the valley which was classified as the avalanche cone.

scholarly journals GIS-based Landform Classification of Eneoli thic Archaeological Sites in the Plateau-plain Transition Zone (NE Romania): Habitation Practices vs. Flood Hazard Perception

2019 ◽  
Vol 11 (8) ◽  
pp. 915 ◽  
Author(s):  
Mihu-Pintilie ◽  
Nicu
Keyword(s):  
Transition Zone ◽  
Large Scale ◽  
Flood Hazard ◽  
Predictive Modelling ◽  
Archaeological Site ◽  
Morphological Data ◽  
Hazard Perception ◽  
Topographic Position Index ◽  
Landform Classification ◽  
Position Index

The landforms of the Earth’s surface ranging from large-scale features to local topography are factors that influence human behavior in terms of habitation practices. The ability to extract geomorphological settings using geoinformatic techniques is an important aspect of any environmental analysis and archaeological landscape approach. Morphological data derived from DEMs with high accuracies (e.g., LiDAR data), can provide valuable information related to landscape modelling and landform classification processes. This study applies the first landform classification and flood hazard vulnerability of 730 Eneolithic (ca. 5000–3500 BCE) settlement locations within the plateau-plain transition zone of NE Romania. The classification was done using the SD (standard deviation) of TPI (Topographic Position Index) for the mean elevation (DEV) around each archaeological site, and HEC-RAS flood hazard pattern generated for 0.1% (1000 year) discharge insurance. The results indicate that prehistoric communities preferred to place their settlements for defensive purposes on hilltops, or in the close proximity of a steep slope. Based on flood hazard pattern, 8.2% out of the total sites had been placed in highly vulnerable areas. The results indicate an eco-cultural niche connected with habitation practices and flood hazard perception during the Eneolithic period in the plateau-plain transition zone of NE Romania and contribute to archaeological predictive modelling.

ON THE CLASSIFICATION OF DIGITAL TECHNOLOGIES IN CIVIL PROCESS

2019 ◽  
pp. 27-35
Author(s):  
Alexandr Neznamov
Keyword(s):  
Information Processing ◽  
Scientific Community ◽  
Digital Technologies ◽  
Significant Feature ◽  
Legal Proceedings ◽  
Civil Process ◽  
Civil Proceedings ◽  
Processing Information ◽  
The Impact

Digital technologies are no longer the future but are the present of civil proceedings. That is why any research in this direction seems to be relevant. At the same time, some of the fundamental problems remain unattended by the scientific community. One of these problems is the problem of classification of digital technologies in civil proceedings. On the basis of instrumental and genetic approaches to the understanding of digital technologies, it is concluded that their most significant feature is the ability to mediate the interaction of participants in legal proceedings with information; their differentiating feature is the function performed by a particular technology in the interaction with information. On this basis, it is proposed to distinguish the following groups of digital technologies in civil proceedings: a) technologies of recording, storing and displaying (reproducing) information, b) technologies of transferring information, c) technologies of processing information. A brief description is given to each of the groups. Presented classification could serve as a basis for a more systematic discussion of the impact of digital technologies on the essence of civil proceedings. Particularly, it is pointed out that issues of recording, storing, reproducing and transferring information are traditionally more «technological» for civil process, while issues of information processing are more conceptual.

Influence of internal and external risks on sustainability of financial system of Аltai krai

2018 ◽  
Vol 35 (4) ◽  
pp. 133-136
Author(s):  
R. N. Ibragimov
Keyword(s):  
Sustainable Development ◽  
Financial Stability ◽  
Management Strategy ◽  
Financial System ◽  
Risk Management Strategy ◽  
The Sustainable Development ◽  
The Stability ◽  
The Impact

The article examines the impact of internal and external risks on the stability of the financial system of the Altai Territory. Classification of internal and external risks of decline, affecting the sustainable development of the financial system, is presented. A risk management strategy is proposed that will allow monitoring of risks, thereby these measures will help reduce the loss of financial stability and ensure the long-term development of the economy of the region.

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