scholarly journals AUTOMATED MAPPING OF PERMANENT PRESERVATION AREAS ON HILLTOPS

CERNE ◽  
2016 ◽  
Vol 22 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Guilherme de Castro Oliveira ◽  
Elpidio Inacio Fernandes Filho

ABSTRACT Permanent Preservation Areas (PPAs) on hilltops are among the many areas protected by the New Forest Code in Brazil. Mapping of these involves difficult interpretation and application of the Law, as well a complex task of translating it in map algebra. This paper aims to present, in detail, a methodological model for delimitation of PPAs on hilltops, according to the Brazilian new Forest Code (NFC, Law 12,651/2012). The model was developed in Model Builder for ArcGIS 10.2, and is able to map the PPAs in any digital terrain model. However, field validations are required to verify its efficiency. There is need for legal standardization of criteria that may cause subjectivity in delimitation. The organization of these data on a large scale is very important, as example, to the Rural Environmental Registry, which provides georeferencing of all rural properties and its protected areas in Brazil.

Author(s):  
F.-O. Tapia-Silva ◽  
A.-I. Contreras-Silva ◽  
E.-R. Rosales-Arriaga

The Usumacinta basin is characterized by aboundance of natural and scenic resources. It also houses a vast biodiversity (wich also means invaluable genetic resources). Its river is the longest in Mexico (main channel length of 927 km). Therefore it is one of the most productive regions of the country in terms of ecosystem services (such as habitat for biodiversity, maintenance of wetlands, water flows generation, carbon sequestration, soil retention, etc.) that are directly related to the hydrological functioning. During the last centuries, human activities on the Usumacinta basin have drastically changed its geomorphology and vegetation cover. As a result the hydrological cycle has been greatly modified. Therefore, it is necessary to conduct studies in order to support planning activities and implementation of public policies, as well as, to generate a permanent scientific ecosystem monitoring system. <br><br> This paper presents the results of a study focused on estimating the water balance of this frontier basin. Satellite and field data is used. Variables as vegetation cover (generated by classification of Landsat and MODIS), digital terrain model (SRTM), surface temperature (MODIS), potential evaporation, precipitation and runoff measurements were processed. Various techniques of Remote Sensing, geospatial models (as SSEB and the model for definition of surface hydrological connectivity) and spatial analysis (geostatistics and map algebra) were implemented. The results were integrated into the environment of a Geographic Information System. These are estimates of actual evapotranspiration, soil moisture and runoff, among other biophysical parameters. For the lower part of the basin a balance was performed to estimate inputs of water from runoff and precipitation to the large amount of wetlands in the area. Additionally, areas generating runoff and areas in which most of the precipitaion infiltrates were also mapped. The geo-information obtained is requiered for purposes of planning and land management.


2020 ◽  
Vol 15 (02) ◽  
pp. 201-219
Author(s):  
José Guilherme de Oliveira ◽  
Alexei Nowatzki ◽  
Leonardo José Cordeiro Santos

A região noroeste do estado do Paraná ao longo dos últimos 50 anos vem sofrendo diversos impactos decorrentes de processos erosivos lineares, ravinas e voçorocas principalmente. A ocorrência desses processos está associada a dois fatores: o histórico de ocupação da região, bem como as características pedológicas locais, principalmente a textura dos solos e sua distribuição nas vertentes. O método adotado para o mapeamento de suscetibilidade é uma adaptação do proposto por Crepani et al. (2001). Esse autor define que a suscetibilidade de uma área é definida pela soma das vulnerabilidades dos componentes do meio físico. Para a realização do trabalho foram selecionados os atributos topográficos declividade e perfil de curvatura; na pedologia, as tipologias de solo. Os resultados foram discretizados em 5 classes: Muito baixa, baixa, média, alta e muito alta suscetibilidade. As áreas de suscetibilidade a erosão Alta e Muito alta, representam 24% do município, sendo que nessas porções se concentram 26% das erosões, o tipo de solo em conjunto com as características topográficas fazem essa área mais propicia naturalmente a ocorrência dos processos erosivos. A classe de moderada suscetibilidade a erosão representam cerca de 40% do município e 54% das feições erosivas se concentra nessa unidade. Palavras-chave: Erosão; Modelo Digital de Terreno; Álgebra de Mapas.   USE OF TOPOGRAPHIC ATTRIBUTES IN THE EROSIVE SUSCEPTIBILITY MAPPING IN THE RURAL AREA OF THE MUNICIPALITY OF PARANAVAÍ – PR Abstract The northwest region of the state of Paraná over the last 50 years has suffered several impacts and consequences of linear erosives, ravines and gullies mainly. The occurrence of these processes is mainly associated with two factors: the occupation history of the region, as well as local soil characteristics, mainly the soil texture and a distribution of soils along the slopes. The methodology adopted for the mapping of susceptibility to erosion follows a line of thought developed by Crepani et al. (2001). This proposal defines that the vulnerability of an area is defined by the sum of the vulnerabilities of the components of the physical environment. For the accomplishment of the methodology were selected, to represent the geomorphology, the topographic attributes: slope, curvature plane and profile; for pedology, soil typologies were selected.  The results were discretized in 5 classes, from environments less susceptible to the most susceptible.  The areas of susceptibility to erosion High and Very high, summed represent 24% of the municipality, being that in these portions it concentrates 26% of the area of the erosions, once in these areas the type of soil together with the topographic characteristics make it  more propitious to the occurrence of linear erosive processes.The moderate susceptibility to erosion class represent about 40% of the municipality and 54% of the area of ​​erosive features is concentrated in this unit. Keywords: Erosions; Digital Terrain Model; Map Algebra.   UTILIZACIÓN DE ATRIBUTOS TOPOGRÁFICOS EN EL MAPEO DE SUSCEPTIBILIDAD EROSIVA EN EL ÁREA RURAL DEL MUNICIPIO DE PARANAVAÍ – PR Resumen  La región noroeste del estado de Paraná en los últimos 50 años viene sufriendo impactos producto de procesos erosivos lineales, regueros y cárcavas principalmente. La ocurrencia de estos procesos está asociada a dos factores: el modo de ocupación de la región y las características pedológicas locales, principalmente la textura de los suelos y su distribución en las vertientes. El método adoptado para el mapeo de susceptibilidad es una adaptación del propuesto por Crepani et al. (2001). Este autor especifica que la susceptibilidad de un área está definida por la suma de las vulnerabilidades de los componentes del medio físico. Para realizar este trabajo fueron seleccionados los atributos topográficos declividad y perfil de curvatura; en la pedología, las tipologías de suelo. Los resultados fueron representados en 5 clases: muy baja, baja, media, alta y muy alta susceptibilidad. Las áreas de susceptibilidad a erosión alta y muy alta, representan el 24% del municipio, sumado a ello en esas porciones se concentran el 26% de las erosiones, por lo tanto el tipo de suelo en conjunto con las características topográficas hacen de esas áreas las más propicias naturalmente a la ocurrencia de procesos erosivos. La clase de moderada susceptibilidad a erosión representa cerca del 40% del municipio y el 54% de los rasgos erosivos se concentran en esa unidad. Palabras claves: Erosión; Modelo Digital del Terreno; Álgebra del Mapas.


2012 ◽  
Vol 33 (2) ◽  
pp. 50-54 ◽  
Author(s):  
Birutė Ruzgienė ◽  
Edita Aleknienė

Up-to-date mapping technologies are in the middle of transition from analytical to digital. The usage of new methods and technologies implies the desire to increase mapping capability. Despite that, analytical and digital methods may be used simultaneously, thus getting more efficient results. The research objective is to present some aspects of functionality of both digital and analytical photogrammetric mapping approaches in generating 3D geodata. The experimental results show which of the two methods could lead to a more flexible mapping production in consideration of the following criteria: accuracy, flexibility, time and cost. The main result of investigations shows, that the orthophoto generation is successfully using fully automatic systems. The digital terrain models created by two technologies are almost the same due to time-consuming. Therefore more time is required for the Digital Photogrammetric System when the terrain is rougher. Despite the fact that digital photogrammetric mapping technology drastically develops, there is no doubt that analytical photogrammetry is still a significant production system for large‐scale mapping. The results demonstrate that there is not too much difference in accuracy between the analytical and the digital 14 μm pixel size images processing. The interpretation capability of experimental test area in the Digital Photogrammetric System was more complicated as it was by the analytical plotter. Two systems integrations have been foreseen. Digital terrain model obtained by the analytical plotter can be transferred to digital mapping system for orthophoto generation.


Author(s):  
D. Wierzbicki ◽  
M. Kedzierski ◽  
A. Fryskowska

Over the past years a noticeable increase of interest in using Unmanned Aerial Vehicles (UAV) for acquiring low altitude images has been observed. This method creates new possibilities of using geodata captured from low altitudes to generate large scale orthophotos. Because of comparatively low costs, UAV aerial surveying systems find many applications in photogrammetry and remote sensing. One of the most significant problems with automation of processing of image data acquired with this method is its low accuracy. This paper presents the following stages of acquisition and processing of images collected in various weather and lighting conditions: aerotriangulation, generating of Digital Terrain Models (DTMs), orthorectification and mosaicking. In the research a compact, non-metric camera, mounted on a fuselage powered by an electric motor was used. The tested area covered flat, agricultural and woodland terrains. Aerotriangulation and point cloud accuracy as well as generated digital terrain model and mosaic exactness were examined. Dense multiple image matching was used as a benchmark. The processing and analysis were carried out with INPHO UASMaster programme. Based on performed accuracy analysis it was stated that images acquired in poor weather conditions (cloudy, precipitation) degrade the final quality and accuracy of a photogrammetric product by an average of 25%.


2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Łukasz Halik ◽  
Maciej Smaczyński ◽  
Beata Medyńska-Gulij

<p><strong>Abstract.</strong> The attempt to work out the geomatic workflow of transforming low-level aerial imagery obtained with unmanned aerial vehicles (UAV) into a digital terrain model (DTM) and implementing the 3D model into the augmented reality (AR) system constitutes the main problem discussed in this article. The authors suggest the following workflow demonstrated in Fig. 1.</p><p>The series of pictures obtained by means of UAV equipped with a HD camera was the source of data to be worked out in the final stage of the geovisualization. The series was then processed and a few point clouds were isolated from it, being later used for generating test 3D models.</p><p>The practical aim of the research conducted was to work out, on the basis of the UAV pictures, the 3D geovisualization in the AR system that would depict the heap of the natural aggregate of irregular shape. The subsequent aim was to verify the accuracy of the produced 3D model. The object of the study was a natural aggregate heap of irregular shape and denivelations up to 11 meters.</p><p>Based on the obtained photos, three point clouds (varying in the level of detail) were generated for the 20&amp;thinsp;000-meter-square area. The several-centimeter differences observed between the control points in the field and the ones from the model might corroborate the usefulness of the described algorithm for creating large-scale DTMs for engineering purposes. The method of transformation of pictures into the point cloud that was subsequently transformed into 3D models was employed in the research, resulting in the scheme depicting the technological sequence of the creation of 3D geovisualization worked out in the AR system. The geovisualization can be viewed thanks to a specially worked out mobile application for smartphones.</p>


Author(s):  
Marta Kuzma ◽  
Marcin Lisowski

This paper presents the application of digital terrain model in developing a relief model. The digital terrain model served as the basis for the relief model. The research has taken into account the subject of combining different data in order to develop a numerical model of the land − surveying, bathymetry, maps. Another issue addressed was the one of vertical scale or exceeding it in the developed model. Its appropriate selection allows the correct representation of the terrain geomorphology. The paper presents research in carrying out relief model of Szczesliwicki Park in Warsaw. The results show the link between the vertical scale or exceeding it and the accuracy (correctness) of relief model in large-scale descriptions. In addition, a verification of models was made with the use of a scanner that uses structural light.


Author(s):  
S. Tripodi ◽  
L. Duan ◽  
F. Trastour ◽  
V. Poujad ◽  
L. Laurore ◽  
...  

<p><strong>Abstract.</strong> Automatic city modeling from satellite imagery is a popular yet challenging topic in remote sensing, driven by numerous applications such as telecommunications, defence and urban mamagement. In this paper, we present an automated chain for large-scale 3D reconstruction of urban scenes with a Level of Detail 1 from satellite images. The proposed framework relies on two key ingredient. First, from a stereo pair of images, we estimate a digital terrain model and a digital height model, by using a novel set of feature descriptors based on multiscale morphological analysis. Second, inspired by recent works in machine learning, we extract in an automatic way contour polygons of buildings, by adopting a fully convolutional network U-Net followed by a polygonization of the predicted mask of buildings. We demonstrate the potential of our chain by reconstructing in an automated way different areas of the world.</p>


Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 265
Author(s):  
Mihnea Cățeanu ◽  
Arcadie Ciubotaru

Laser scanning via LiDAR is a powerful technique for collecting data necessary for Digital Terrain Model (DTM) generation, even in densely forested areas. LiDAR observations located at the ground level can be separated from the initial point cloud and used as input for the generation of a Digital Terrain Model (DTM) via interpolation. This paper proposes a quantitative analysis of the accuracy of DTMs (and derived slope maps) obtained from LiDAR data and is focused on conditions common to most forestry activities (rough, steep terrain with forest cover). Three interpolation algorithms were tested: Inverse Distance Weighted (IDW), Natural Neighbour (NN) and Thin-Plate Spline (TPS). Research was mainly focused on the issue of point data density. To analyze its impact on the quality of ground surface modelling, the density of the filtered data set was artificially lowered (from 0.89 to 0.09 points/m2) by randomly removing point observations in 10% increments. This provides a comprehensive method of evaluating the impact of LiDAR ground point density on DTM accuracy. While the reduction of point density leads to a less accurate DTM in all cases (as expected), the exact pattern varies by algorithm. The accuracy of the LiDAR-derived DTMs is relatively good even when LiDAR sampling density is reduced to 0.40–0.50 points/m2 (50–60 % of the initial point density), as long as a suitable interpolation algorithm is used (as IDW proved to be less resilient to density reductions below approximately 0.60 points/m2). In the case of slope estimation, the pattern is relatively similar, except the difference in accuracy between IDW and the other two algorithms is even more pronounced than in the case of DTM accuracy. Based on this research, we conclude that LiDAR is an adequate method for collecting morphological data necessary for modelling the ground surface, even when the sampling density is significantly reduced.


2020 ◽  
Vol 12 (1) ◽  
pp. 1185-1199
Author(s):  
Mirosław Kamiński

AbstractThe research area is located on the boundary between two Paleozoic structural units: the Radom–Kraśnik Block and the Mazovian–Lublin Basin in the southeastern Poland. The tectonic structures are separated by the Ursynów–Kazimierz Dolny fault zone. The digital terrain model obtained by the ALS (Airborne Laser Scanning) method was used. Classification and filtration of an elevation point cloud were performed. Then, from the elevation points representing only surfaces, a digital terrain model was generated. The model was used to visually interpret the course of topolineaments and their automatic extraction from DTM. Two topolineament systems, trending NE–SW and NW–SE, were interpreted. Using the kernel density algorithm, topolineament density models were generated. Using the Empirical Bayesian Kriging, a thickness model of quaternary deposits was generated. A relationship was observed between the course of topolineaments and the distribution and thickness of Quaternary formations. The topolineaments were compared with fault directions marked on tectonic maps of the Paleozoic and Mesozoic. Data validation showed consistency between topolineaments and tectonic faults. The obtained results are encouraging for further research.


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