PROCEDURE OF TENDENCY MAP ON THE BASIS OF GEOGRAPHICAL INFORMATION SYSTEM OF JALILABAD CADASTRY DISTRICT

2021 ◽  
Vol 66 (05) ◽  
pp. 77-80
Author(s):  
Narmin Zakir Najafova ◽  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Erosion ◽  
Moisture Content ◽  
Point Of View ◽  
Geographical Information ◽  
Agricultural Crops ◽  
Digital Elevation ◽  
Elevation Model ◽  
High Yields

As the inclination increases, soil erosion and, in general, the process of erosion on the slopes intensifies, the moisture content of the soil and soil-forming rocks decreases, the growth of agricultural crops and pastures weakens, and productivity decreases. Taking all this into account, we have developed a slope map with degrees based on the digital elevation model of the Jalilabad cadastral region (DEM file). Slope study and mapping is one of the key measures to protect soils from erosion as well as to combat erosion. When the slope reaches 3-4°, the washing of the soil is even faster. It is not recommended to plow the fields when the slope is 8-10° and more. From this point of view, as a result of our research, the inclination of the Jalilabad cadastral region has been studied. The lowest inclination range in the study area is 0-20. Low inclination is observed mainly in the plains of Jalilabad cadastral region. As you ascend to the heights, there is an increase in inclination. Taking into account the propensity in agriculture can lead to high yields. Key words: Inclination, Slope, Erosion, Geographic Information System (GIS), ESRI, ArcGis

Food Submergence Calculation and Analysis Using Digital Elevation Model and Geographical Information System

2014 ◽  
Vol 571-572 ◽  
pp. 792-795
Author(s):  
Xiao Qing Zhang ◽  
Kun Hua Wu
Keyword(s):  
Information System ◽  
Digital Elevation Model ◽  
Flood Control ◽  
Large Scale ◽  
Geographical Information ◽  
Economic Losses ◽  
Model Data ◽  
Digital Elevation ◽  
Elevation Model ◽  
Digital Elevation Model Data

Floods usually cause large-scale loss of human life and wide spread damage to properties. Determining flood zone is the core of flood damage assessment and flood control decision. The aim of this paper is to delineate the flood inundation area and estimate economic losses arising from flood using the digital elevation model data and geographic information system techniques. Flood extent estimation showed that digital elevation model data is very precious to model inundation, however, in order to be spatially explicit flood model, high resolution DEM is necessary. Finally, Analyses for the submergence area calculation accuracy.

scholarly journals Soil loss estimation using geographic information system in enfraz watershed for soil conservation planning in highlands of Ethiopia

2016 ◽  
Vol 5 (2) ◽  
pp. 21-30 ◽  
Author(s):  
Gizachew Tiruneh ◽  
Mersha Ayalew
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Loss ◽  
Satellite Images ◽  
Geographic Information ◽  
Rainfall Erosivity ◽  
Gis And Remote Sensing ◽  
Digital Elevation ◽  
Elevation Model ◽  
Soil Loss Rate

Accelerated soil erosion is a worldwide problem because of its economic and environmental impacts. Enfraz watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia, which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, about 92.31% (5914.34 ha) of the watershed was categorized none to slight class which under soil loss tolerance (SLT) values ranging from 5 to 11 tons ha-1 year-1. The remaining 7.68% (492.21 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss. The total and an average amount of soil loss estimated by RUSLE from the watershed was 30,836.41 ton year-1 and 4.81 tons ha-1year-1, respectively.Int. J. Agril. Res. Innov. & Tech. 5 (2): 21-30, December, 2015

DISASTER RECOVERY THROUGH PREDICTION OF SAFE ROUTE USING DEM LEVELS

2017 ◽  
Vol 10 (13) ◽  
pp. 20
Author(s):  
Sangavi Vp ◽  
N Mounika ◽  
S Graceline Jasmine
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Digital Elevation Model ◽  
Tamil Nadu ◽  
Java Application ◽  
Digital Elevation ◽  
Safe Area ◽  
Elevation Model ◽  
Evacuation Route ◽  
Model Layer

When a disaster occurs, the normal commutation routes are disrupted. People get stuck at these disaster points and would be in trouble, hence people in those areas find it difficult to communicate and evacuation route to safe area is unknown. The aim of the paper is to predict safe routes to reach the refuge point from the disaster point. The prototype was developed using Arc geographic information system runtime SDK for Java Application and APIs in Eclipse. The system was developed with digital elevation model layer, and route layer for India basemap focused to Tamil Nadu. The safe route is found based on the elevation values of the area from the disaster point to a safe point. The developed system could be used by the relief providers to reach the disaster point and rescue victims.

scholarly journals Topography and Geomorphological units impact on the Saidsadiq town expansion ,by Using Geographical information System

2019 ◽  
Vol 7 (1) ◽  
pp. 438-460
Author(s):  
Omed Hamabaqi Hama ameen ◽  
Kawa Jabar Rahman
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Satellite Images ◽  
Geographical Information ◽  
Land Form ◽  
Digital Elevation ◽  
Geomorphological Units ◽  
Elevation Model ◽  
The City ◽  
The Town

The main goal of this investigation is to indicate the influnce of Topographic and Geomorphogical Unit on expansion of Saidsadiq town from (1965 to 2019 ) , and analyse the influnce of the slope and landform upon the directive expansion of the town , with signifying the factors of expansion the town towards the directions dependens on the map of expension with satellite images which have been recieved from (NASA-G DEM VERSION) on (USGS) site with Digital Elevation Model (DEM) by resolution (30 m) on the reaserch area . finally the investigation concludes a set of conclusions and results including the land form limited and restricted the directions of expansions of the town and The City taken the shape of Star ,expandin most of the towns area on the sediment pedimont due to easiness of building houses and connection services upon it.        

scholarly journals Morphometric analysis and watershed prioritization in relation to soil erosion in Dudhnai Watershed

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
W. R. Singh ◽  
S. Barman ◽  
G. Tirkey
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
High Surface ◽  
Drainage Density ◽  
Morphometric Parameters ◽  
Geographical Information ◽  
Gis And Remote Sensing ◽  
Digital Elevation ◽  
Elevation Model

AbstractMorphologic parameters of a watershed could help in segregating critical sub-watersheds for taking up conservation practices and mitigation interventions. Determination of critical watersheds or prioritization of sub-watersheds is inevitable for efficient and sustainable watershed management programs and allocation of its natural resources. The traditional methods of determination of morphologic parameters are time consuming, expensive and requires huge labor. However, the process becomes easier, cheaper and faster with the advent of Geographical Information System (GIS) and remote sensing technologies. In the present study, a combined approach of using toposheet, remotely sensed digital elevation model and morphometric ArcGIS toolbox has been adopted to determine morphometric parameters in Dudhnai river basin, a sub-basin of river Brahmaputra which is prone to both erosion and sedimentation. Seven sub-watersheds of Dudhnai have been prioritized by using the morphometric parameters and ranked them according to its vulnerability to soil erosion. The results of bifurcation ratio, drainage density, drainage intensity and constant of channel maintenance showed that Dudhnai watershed is a well-dissected watershed with less risk to flooding and soil erosion. However, significantly high values of infiltration number and ruggedness number obtained are indicative of very low infiltration which may result in high surface runoff and soil erosion. The study also revealed that channel erosion is stronger than sheet erosion in the basin. The prioritization of the sub-watersheds implied that Chil sub-watershed is the most susceptible sub-watershed that needs greater attention for soil and water conservation measures. The results of the present study could aid various stakeholders who are involved in the watershed development and management programs.

scholarly journals A Novel Rapid Method for Viewshed Computation on DEM through Max-Pooling and Min-Expected Height

2020 ◽  
Vol 9 (11) ◽  
pp. 633
Author(s):  
Zhibin Pan ◽  
Jin Tang ◽  
Tardi Tjahjadi ◽  
Zhihu Wu ◽  
Xiaoming Xiao
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Computational Time ◽  
Line Of Sight ◽  
Practical Application ◽  
Max Pooling ◽  
Digital Elevation ◽  
Visibility Range ◽  
Elevation Model ◽  
Computing Speed

Viewshed computation of a digital elevation model (DEM) plays an important role in a geographic information system, but the required high computational time is a serious problem for a practical application. Hitherto, the mainstream methods of viewshed computing include line-of-sight method, reference planes method, etc. Based on these classical algorithms, a new algorithm for viewshed computation is proposed in this paper: the Matryoshka doll algorithm. Through a pooling operation, the minimum expected height of the DEM is introduced as max-pooling with minimum expected height in the viewshed computing optimization. This is to increase the efficiency and adaptability of the computation of the visibility range. The experimental results demonstrate that the algorithm has obvious advantages in computing speed, but with the accuracy only slightly reduced.

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