scholarly journals UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 397-404 ◽  
Author(s):  
C. Parente ◽  
M. Pepe
Keyword(s):  
Remote Sensing ◽  
Laser Scanner ◽  
Volume Estimation ◽  
Engineering Project ◽  
Airborne Laser Scanner ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Volumetric Accuracy ◽  
Elevation Model

<p><strong>Abstract.</strong> The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landslide can be performed by Photogrammetry &amp;amp; Remote Sensing (PaRS) techniques. Indeed, depending on the method and technology used for the survey, a different level of accuracy is achievable. The estimate of the quantity of the terrain implicated in the landslide influences the type of geological and geotechnical approach, the civil engineering project on the area and of consequence, the costs to sustain for a community. According to the experiences and recommendations reported in the ASPRS guidelines, an example of the approach used to estimate volumetric accuracy concerning one of the most important landslide in Europe is shown in this paper. In this case study, the dataset is constituted by a Digital Elevation Model (DEM) obtained by photogrammetric (stereo-images) method (pre-landslide) and another by Airborne Laser Scanner (after-landslide). By the comparisons of Airborne Laser Scanner (ALS) and photogrammetry DEMs obtained from successive surveys, it has been possible to produce maps of differences and of consequence, to calculate the volume of the terrain (eroded or accumulated). In order to calculate the uncertainty of volume, a procedure that takes in account even the different accuracy achievable in the vegetation area is explained and discussed.</p>

scholarly journals Airborne Laser Scanner: principles of operation, recent uses in Brazil and regulatory issue from laws and parameters in Brazil and in the USA

2016 ◽  
Vol 6 (7) ◽  
pp. 338
Author(s):  
Carlos Henrique Sopchaki ◽  
Tony Vinicius Moreira Sampaio
Keyword(s):  
Digital Elevation Model ◽  
Spatial Resolution ◽  
Laser Scanner ◽  
Airborne Laser Scanner ◽  
Regulatory Issue ◽  
Regulatory Documents ◽  
Airborne Laser ◽  
Digital Elevation ◽  
The Usa ◽  
Elevation Model

DEM generated from LIDAR are being increasingly used in various fields of science. Thus, this article presents a review of the operation of the LIDAR and makes a survey of some recent research using that product in Brazil in order to identify methodologies for assigning spatial resolution of the survey and also the DEM. Also has been approached issue of standards and legislation for assigning spatial resolution both for the survey conducted via Airborne Laser Scanner, as for the Digital Elevation Model generated from the survey. The results showed that in Brazil, there is no standardized procedure with regard to the allocation of spatial resolution and is no shortage of laws and norms that regulate the activity in the country, unlike other countries with several regulatory documents in this area.

scholarly journals Spatially consistent imputations of forest data under a semivariogram model

2016 ◽  
Vol 46 (9) ◽  
pp. 1145-1156 ◽  
Author(s):  
Victor Felix Strîmbu ◽  
Liviu Teodor Ene ◽  
Erik Næsset
Keyword(s):  
Objective Function ◽  
Laser Scanner ◽  
Data Types ◽  
Semivariogram Model ◽  
Airborne Laser Scanner ◽  
Airborne Laser ◽  
Target Values ◽  
The Difference ◽  
Southern Norway

This study proposes a method to perform spatially consistent imputations of forest data to serve simulation studies where spatial autocorrelation is expected to have an effect (e.g., sampling simulations and forest scenario analysis). Starting with a nearest neighbour imputation, an optimization process brings the spatially comprehensive data to a desired state, controlled by a target semivariogram and a target histogram. The target values for both parameters may be approximated using empirical data and are combined in the objective function used by the optimization algorithm. Here, we demonstrate a case study using wall-to-wall airborne laser scanner data, satellite data, and field observations for an 852 ha forest area in southern Norway. Different combinations of data types and target parameters were tested, and the target values were reached in most cases. In some cases, with a more restrictive objective function, the semivariogram did not completely converge to its target values, yet still had a convergence of at least 93%, expressed by the difference reduction between initial and target values. The results recommend the proposed method as a practical means to generate spatially explicit forest data when a particular distribution and well-defined spatial dependence are required.

scholarly journals A glacier inventory for South Tyrol, Italy, based on airborne laser-scanner data

2009 ◽  
Vol 50 (53) ◽  
pp. 46-52 ◽  
Author(s):  
Christoph Knoll ◽  
Hanns Kerschner
Keyword(s):  
Laser Scanner ◽  
Glacier Area ◽  
Scanner Data ◽  
Equilibrium Line Altitude ◽  
Glacier Inventory ◽  
New Approach ◽  
Airborne Laser Scanner ◽  
South Tyrol ◽  
Airborne Laser ◽  
Digital Elevation

AbstractA new approach to glacier inventory, based on airborne laser-scanner data, has been applied to South Tyrol, Italy: it yields highly accurate results with a minimum of human supervision. Earlier inventories, from 1983 and 1997, are used to compare changes in area, volume and equilibrium-line altitude. A reduction of 32% was observed in glacier area from 1983 to 2006. Volume change, derived from the 1997 and 2006 digital elevation models, was –1.037 km3, and an ELA rise of 54 m, to almost 3000 m a.s.l., was calculated for this period. Losses vary widely for individual glaciers, but have accelerated for all South Tyrolean glaciers since the first inventory in 1983.

scholarly journals CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE

2016 ◽  
Vol 40 (5) ◽  
pp. 959-964
Author(s):  
Mauro José Alixandrini Junior ◽  
Josmar Oliveira Valadares ◽  
Carlos Loch
Keyword(s):  
Laser Scanner ◽  
Digital Processing ◽  
Forest Monitoring ◽  
Vector Data ◽  
Vegetative Cover ◽  
Airborne Laser Scanner ◽  
Airborne Laser ◽  
Digital Elevation ◽  
Exotic Vegetation ◽  
Coherent Relationship

ABSTRACT This research was aimed at providing a study of digital elevation models from Airborne Laser Scanner (ALS) data. The goal was to improve the forest monitoring, or more specifically, arboreal canopy monitoring, which contains the most elevated vegetation of the forest. It is also described as the surface above the canopy top. The region of rain forest between the states of São Paulo and Paraná in Brazil was analyzed. The proposed method employs the ALS system that provides information related to different vegetative cover bedding, to analyze it and reach to estimate for the most elevated stage. The methodology is based on differentiating the identified surfaces in the original set of data. It uses these surfaces with a raster, which was obtained from an interpolation of different sets of points from the surfaces of interest. The raster structure, unlike vector data, allows for processes linked to the digital processing of images. It enables implementation of digital filters over the data. The method helped in reducing the influence of errors during classification and achieving the theoretical surface. The results revealed a coherent relationship with anthropogenic influence such as the introduction of exotic vegetation. We concluded that arboreal vegetation could be an index of conservation for environmental registration and licensing organizations.

scholarly journals Geomorphological conditions of formation of landslides hazards in the Western Caucasus and methods of their monitoring

2020 ◽  
Vol 26 (2) ◽  
pp. 264-274
Author(s):  
Elena Voskresenskaya ◽  
Ivan Voskresensky ◽  
Sergey Sokratov ◽  
Alexander Suchilin ◽  
Alexander Shnyparkov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Slope Angle ◽  
Laser Scanner ◽  
Potential Hazard ◽  
Western Caucasus ◽  
Digital Elevation ◽  
Site Use ◽  
The Western Caucasus ◽  
Elevation Model

Toppling, falling and sliding of slopes are widespread in the mountains of the Western Caucasus. The slope hazards on Aibga Ridge and in the Mzymta river basin determine the ecological and geomorphological conditions for construction and operation of first of all, the linear infrastructures (roads and railways). Investigation considered the characteristic of the recent gravity-induced processes and corresponding slopes, including topples, falls, slides and spreads. According to the research results, ecological-geomorphological zoning (allocation of ecological-geomorphological sub-zones) was carried out. The base for the sub-zones regionalization were the morphometric characteristics: the relative excess (m) between the conjugate landforms and slope angle. The possibilities of applying modern techniques for monitoring and preventing of dangerous slope processes were investigated. The monitoring technique for high-precision fixation of “movements” of dangerous slopes was considered, which included several stages of applying modern hardware tools (ground-based and aerospace remote sensing): preliminary allocation of sections along a linear object that represent a potential hazard; ground-based sensing, in which various geodetic instruments (laser robotic total station, laser scanner, digital stereo-camera, etc.) are positioned on a reference marks of geodetic control network to monitor object of interest; analysis of satellite imagery data from various satellites (Landsat, Pléiades, ALOS, Sentinel) and transforming them into the adopted coordinate system of the research site; use of unmanned aerial vehicles (UAVs) for local large-scale remote sensing, which allows to obtain large-scale ortho-photo-maps and digital elevation model of the surface of an investigated area.

Improving bioclimatic envelop modeling for Lichens through remote sensing based substratum correction: A study over Indian Himalaya

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
C. P. Singh ◽  
R. Bajpai ◽  
R. P. Singh ◽  
D. K. Upreti
Keyword(s):  
Remote Sensing ◽  
Predictive Accuracy ◽  
Geographic Area ◽  
Jammu And Kashmir ◽  
Indian Himalaya ◽  
Novel Approach ◽  
Digital Elevation ◽  
Average Probability ◽  
Niche Area ◽  
Elevation Model

In alpine Himalaya, the niche map of lichens and its characteristics is a gap area. A novel approach of improving the bioclimatic envelop through use of remote sensing inputs was employed. The 19 bioclimatic indices and digital elevation model were used for training niche models through occurrence records of 33 lichen species across Indian Himalaya. Substratum correction was carried out using LU/LC data. About 45% of the total geographic area studied is found to be very conducive (with niche probability > 70%) for the growth of lichens with predictive accuracy of 91% ascertained through cross-validation. Jammu and Kashmir is having highest niche area (36.02%); however, average probability niche score is highest in Uttarakhand (81.08). Area between 27o - 28o N latitude is having highest area however average probability score is highest in 30o - 31o N. Overall maximum niche area (35.50 %) is found in the regions dominated by alpine meadow, alpine grasslands and parts of cold deserts. The potential use lies in reporting yet to be explored lichens in the Indian Himalaya.

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