scholarly journals Assessment of soil erosion hazard and its mapping using GIS technologies

2021 ◽  
pp. 18-31
Author(s):  
Hleb S. Lazovik ◽  
Antonina A. Topaz
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing Data ◽  
Water Erosion ◽  
Integrated Map ◽  
Sensing Data ◽  
Erosion Hazard ◽  
Gis Technologies ◽  
Erosion Processes ◽  
Integral Indicator

The article presents a method for creating a territory erosion hazard integrated map using RUSLE integral model, Earth remote sensing data and GIS technologies. The studies carried out on this topic are presented, the analysis of which has shown a more active use of integral indicators of water-erosion processes in foreign scientific works. Urgency of updating methodology for studying erosion processes has been substantiated. Theoretical foundations of the application of integral models of soil erosion are given, the application of the RUSLE model is substantiated, and the optimal way of using this model is proposed. The research methodology has been developed, consisting of primary processing of remote sensing data, calculation of the factors of erosion development and creation of a territory erosion hazard integrated map. Based on the processing of aerial photography materials, a point cloud, a digital elevation model and an orthomosaic map of the study area were created. The results of the geoinformation analysis of the remote sensing data, which included calculation of the soil erodibility factor and the topographic factor, are presented. Based on the integral indicator of watererosion hazard, a complex map of the erosion hazard of the territory has been created. Main patterns of geographical distribution of the values of the integral indicator of the water-erosion hazard of the territory are revealed, devised methodology is assessed. It was found that the schematic map reflects the general pattern of water erosion processes: they are more active in places where more dissected relief is spread. Influence of the soil factor on the pattern of the schematic map is shown: the pattern in the territories occupied by sod-podzolic loamy soils qualitatively differs from the pattern on the lands where sod-podzolic sandy loam soils are widespread. Patterns on the schematic map of different parts of the developed linear forms of relief, formed by temporary streams, are described. It is shown that the proposed method can be used to assess the water-erosion hazard of the territory. The need to take into account a larger number of factors and to refine the assessment of existing ones is concluded.

scholarly journals Features of Visual Decoding of Water Erosion by Remote Sensing Data

2020 ◽  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Water Erosion ◽  
Object Identification ◽  
Aerial Photographs ◽  
Linear Forms ◽  
Sensing Data ◽  
Erosion Processes ◽  
Sheet Erosion

Purpose: analysis of the features of visual decoding of eroded soils and erosion processes according to remote sensing data. Methods. Remote sensing, field, comparative geographical, historical, cartographic, GIS analysis. Results. The main attention in the article is paid to the features of visual decoding of linear forms of erosion. Comparative analysis of aerial photographs of 1943 and modern satellite imagery for the Kharkov region shown that in the second half of the 20th century the growth of gullies was almost stopped due to large-scale anti-erosion measures carried out at that time. Currently the main erosion losses occur in sheet erosion and small gully erosion. The article provides a list of decoding features that determine linear forms of erosion in the images. It is shown problems that can arise during automatic decoding. As an example of artifact formations requiring the participation of a human analyst in the decryption process, the so-called "Turkish Wall" is shown, the traces of which can be erroneously diagnosed as a manifestation of linear erosion Conclusions. Automatic decoding of water erosion processes and an inventory of erosion landforms requires the obligatory monitoring of a qualified analyst to eliminate object identification errors.

scholarly journals METHODOLOGY DEVELOPMENT FOR CALCULATING THE AREA OF GREENERY IN A CITY, USING REMOTE SENSING DATA

2021 ◽  
pp. 170-181
Author(s):  
Olga S. Sergeeva ◽  
◽  
Semen P. Pirozhkov ◽  
Keyword(s):  
Remote Sensing ◽  
Urban Environment ◽  
Remote Sensing Data ◽  
Green Spaces ◽  
Space Images ◽  
Important Indicator ◽  
Sensing Data ◽  
Environment Quality ◽  
Gis Technologies ◽  
Green Areas

This article discusses the possibility of using Earth remote sensing data and GIS technologies for assessing the area of green spaces in a city. Green areas are an important indicator of the urban environment quality. Quantitative information on such areas is necessary to calculate the total index of the urban environment quality, which is provided annually to the state statistics authorities. Various methods of obtaining such data are possible, including by decoding orthophotomaps, aerial photography, and mobile laser scanning. GIS technologies provide ample opportunities in this area: they allow one to create electronic maps, attributive databases, and maintain up-to-date information. The paper provides an example of using space images to calculate green areas in one of the microdistricts in the city of Perm. We describe the technique for recalculating the number of trees in a landscaping area; assess the planting areas of general and limited use and the total area of green spaces in the microdistrict; calculate the share of green areas and the greening level of the microdistrict, which are necessary for calculating the urban environment quality index. The technique proposed in this work can significantly reduce the time and labor costs for finding indicators of the urban environment greening.

scholarly journals Monitoring of erosion processes development with the use of archival remote sensing data

2013 ◽  
Vol 4 (4) ◽  
pp. 447-459
Author(s):  
I.I. Nugmanov ◽  
E.V. Nugmanova ◽  
O.V. Luneva ◽  
I.Yu. Chernova
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Erosion Processes

scholarly journals Application of GIS Technologies to Improve the Efficiency of HPP Cascades Simulation Model

2020 ◽  
pp. 732-744
Author(s):  
Anna Yu. Arestova ◽  
Sergey V. Mitrofanov ◽  
Anastasiya G. Rusina ◽  
Alexey A. Kolesnikov
Keyword(s):  
Remote Sensing ◽  
Simulation Model ◽  
Block Diagram ◽  
Remote Sensing Data ◽  
Hydroelectric Power ◽  
Calculation Algorithm ◽  
Earth Remote Sensing ◽  
Sensing Data ◽  
Gis Technologies ◽  
Power Stations

The paper presents the calculation algorithm for water-energy regime of a hydroelectric power stations cascade. The block diagram of the algorithm is given for implementing the simulation model and automating the process of regime calculating. The proposed algorithm allows to evaluate the efficiency of the cascade operation, as well as to optimize the regime according to various criteria. Additionally, an option is proposed to integrate GIS monitoring data into the calculation algorithm. The sources and characteristics of Earth remote sensing data that can be used to build the model are presented

Remote sensing data and field survey activities for monitoring the evolution of forest systems after coppicing and soil erosion: A case study in Sardinia (Italy)

2020 ◽  
Author(s):  
Filippo Giadrossich ◽  
Antonio Ganga ◽  
Sergio Campus ◽  
Ilenia Murgia ◽  
Irene Piredda ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Vegetation Indices ◽  
Monitoring Network ◽  
Remote Sensing Data ◽  
Forest Stands ◽  
Sensing Data ◽  
Long Term Monitoring ◽  
Term Monitoring

<p>The practice of coppicing is debated in the literature for the risk factors associated with soil erosion. Although erosion experiments provide useful data for estimating the susceptibility to soil erosion, there are many open questions that cannot be solved in isolated experiments, but which can be assessed by activating a long-term monitoring process. In this way, it is possible to correctly frame the spatial and temporal scale of soil erosion in coppice forests. </p><p>The aim of the work is to evaluate the effectiveness of the use of remote sensing data in combination with field data, for monitoring the evolution of forest stands interested by coppicing in relation to soil erosion. </p><p>We have installed a long-term monitoring network for erosion estimation, while Sentinel-2C satellite data were used for the period 2016-2018. Starting from this dataset, a selection of vegetation indices was calculated and compared to the morphological and topographical parameters of the study area, as well as the above-ground data collected during field activities. Using the Canonical Correspondences Analysis (CCA) the relationships between the matrix of vegetation indices, topographic and vegetational parameters and the respective performances of this protocol have been explored in order to describe the evolution of the forest stands in the study area associated to soil losses.</p>

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