scholarly journals Morphometric Analysis and Prioritization of Microwatershed of Bisalpur Reservoir using Geospatial Techniques

2019 ◽  
Vol 8 (12) ◽  
pp. 2991-2997
Keyword(s):  
Natural Resources ◽  
Morphometric Analysis ◽  
Rainwater Harvesting ◽  
Thermal Emission ◽  
Flow Direction ◽  
Stream Length ◽  
Geospatial Techniques ◽  
Sediment Yields ◽  
Shuttle Radar Topographic Mission ◽  
Elevation Model

Limited natural resources and their wide utilization with increasing population is a major concern. Conservation of natural resources is of prime importance for sustainable development and to mitigate the demand and supply gap between resources. Rivers are major source of water, Morphometric analysis of watershed covers the drainage networks and parameters such as drainage area, gradient and relief. Morphometric analysis is significant for prediction of floods, soil erosion and sediment yields. Present study covers linear aspects of Morphometric analysis in Bisalpur Reservoir by using Geospatial techniques. Watershed delineation, flow accumulation, flow direction, Flow length followed by Stream ordering have been accomplished by using Hydrology tool in ArcGIS 10.2.2 Software. Advanced space-borne Thermal Emission and Reflection Radiometer (ASTER) and Shuttle Radar Topographic Mission (SRTM) Digital Elevation model (DEM) have been used for preparation of linear aspects of Morphometric parameters. Drainage characteristic have been calculated such as stream length, mean stream length and Bifurcation Ratio for basin evolution studies, such studies are extremely useful for planning rainwater harvesting and Watershed Management

scholarly journals HYDROLOGIC ASSESSMENT OF FOOD USING SWAT AS GEOSPATIAL TECHNIQUES IN THE CATCHMENT AREA OF TERENGGANU MALAYSIA

2020 ◽  
Vol 4 (2) ◽  
pp. 90-95
Author(s):  
Ibrahim Sufiyan ◽  
Magaji J.I ◽  
A.T. Ogah
Keyword(s):  
Catchment Area ◽  
Assessment Tool ◽  
Thermal Emission ◽  
Geospatial Techniques ◽  
Digital Elevation ◽  
Risk Zones ◽  
Global Catastrophe ◽  
Elevation Model ◽  
Soil Water Assessment Tool ◽  
Water Assessment

Risks and hazards are two important issues currently threatening humanity and the environment. Flood has claimed many lives and destroyed properties in Malaysia and Africa and Nigeria. It is global catastrophe. The application of geospatial science is, therefore, very important advantages that it offers solutions to flood. This stud uses of Advanced Space-borne Thermal Emission and Reflection Radiometer Digital Elevation Model (ASTER-DEM), and the Soil Water Assessment Tool (SWAT) in visualizing floods disaster risk. The whole catchment area of Terengganu has been delineated. The 25 sub-basins have been identified and the flood risk zones have been modeled. The complete watersheds are characterized by different sub-basins and Hydrologic Respond Units (HRUs) which can be viewed in 3D environment.

scholarly journals A geomorphology-based approach for digital elevation model fusion – case study in Danang city, Vietnam

2014 ◽  
Vol 2 (2) ◽  
pp. 403-417 ◽  
Author(s):  
T. A. Tran ◽  
V. Raghavan ◽  
S. Masumoto ◽  
P. Vinayaraj ◽  
G. Yonezawa
Keyword(s):  
Spatial Information ◽  
Thermal Emission ◽  
Accuracy Assessment ◽  
Weighted Averaging ◽  
Normal Vector ◽  
Landform Classification ◽  
Shuttle Radar Topographic Mission ◽  
Digital Elevation ◽  
Elevation Data ◽  
Elevation Model

Abstract. Global digital elevation models (DEM) are considered a source of vital spatial information and find wide use in several applications. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global DEM (GDEM) and Shuttle Radar Topographic Mission (SRTM) DEM offer almost global coverage and provide elevation data for geospatial analysis. However, GDEM and SRTM still contain some height errors that affect the quality of elevation data significantly. This study aims to examine methods to improve the resolution as well as accuracy of available free DEMs by data fusion techniques and evaluating the results with a high-quality reference DEM. The DEM fusion method is based on the accuracy assessment of each global DEM and geomorphological characteristics of the study area. Land cover units were also considered to correct the elevation of GDEM and SRTM with respect to the bare-earth surface. The weighted averaging method was used to fuse the input DEMs based on a landform classification map. According to the landform types, the different weights were used for GDEM and SRTM. Finally, a denoising algorithm (Sun et al., 2007) was applied to filter the output-fused DEM. This fused DEM shows excellent correlation to the reference DEM, having a correlation coefficient R2 = 0.9986, and the accuracy was also improved from a root mean square error (RMSE) of 14.9 m in GDEM and 14.8 m in SRTM to 11.6 m in the fused DEM. The results of terrain-related parameters extracted from this fused DEM such as slope, curvature, terrain roughness index and normal vector of topographic surface are also very comparable to reference data.

scholarly journals Modelo Digital de Elevação Hidrologicamente Consistente para a bacia do rio Doce: Elaboração e Análise (Conditioning hydrographic digital elevation model to rio Doce watershed: preparation and analysis)

2016 ◽  
Vol 9 (6) ◽  
pp. 1978
Author(s):  
Fernando Angelo Couto Cardoso ◽  
Deborah Luiza Poletto de Paula ◽  
Roberto Cezar de Almeida Monte Mor ◽  
James Lacerda Maia ◽  
Eliane Maria Vieira
Keyword(s):  
Digital Elevation Model ◽  
Thermal Emission ◽  
Flow Direction ◽  
Minas Gerais ◽  
Espírito Santo ◽  
Maximum Value ◽  
Digital Elevation ◽  
Elevation Model ◽  
Color Composite ◽  
Espirito Santo

O presente trabalho tem como objetivo a delimitação da bacia hidrográfica do rio Doce, que se encontra nos estados de Minas Gerais e Espírito Santo, e a elaboração do MDEHC em comparação com o MDE da mesma área, para a delimitação das Áreas de Preservação Permanente de topo de morro. Para a delimitação da bacia e a elaboração do modelo foi empregado o SIG ArcGIS e como base de dados o GDEM do ASTER e hidrografia disponibilizada pela ANA, foi empregada uma composição colorida do satélite LandSat RGB-345, para a verificação dos resultados e correção das falhas detectadas durante a execução do trabalho. Os resultados obtidos demonstraram a necessidade de modelos com qualidade satisfatória, para o correto desenvolvimento da metodologia de geração do modelo hidrológico, visto que houve variação na direção de fluxo com a mudança do MDE para o MDEHC. Também houve variação nos valores de altitude, dos dois modelos, enquanto que o valor o valor máximo obtido no MDEHC foi de 2637 m contra 2868 m no MDE. Esta variação na altitude é devida ao emprego da ferramenta para a eliminação das depressões espúrias, demonstrando que esta deve ser empregada com cautela. A variação no limite gerado com o MDEHC, em relação ao limite da ANA, demonstrou a necessidade da implementação de uma rotina computacional no SIG para a delimitação de bacias onde o exutório é constituído por uma região.     A B S T R A C T This study aims at delineation of rio Doce watershed, located in states of Minas Gerais and Espirito Santo, and the preparation of the Conditioning Hydrografic Digital Elevation Model (CHDEM), for the delineation of areas of permanent preservation on top of hills. For the delineation of the watershed and the development of the model was used the software ArcGIS® and as database the Global Digital Elevation Map (GDEM) of the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) including the Hydrography provided by Agência Nacional de Águas (ANA). It was made a color composite Landsat RGB-345 satellite, for the verification of the results and correction of faults detected during the execution of the work. The results showed the need for models with satisfactory quality to correct development of the hydrological model generation methodology, as there was variation in the flow direction with the change of the DEM for CHDEM. There was also variation in altitude values ​​of the two models, while the maximum value obtained in CHDEM was 2637 m against 2868 m in DEM. This variation in altitude is due to the use of the tool to eliminate spurious depressions, demonstrating that this should be used with caution. The variation in the boundary generated using CHDEM in relation to the ANA limit, showed the necessity of implementing a Geographic Information System (GIS) computational routine for delineation the watersheds where mouth comprises a region. Keywords: Hidrologyc model, ASTER, Geoprocessing.   

scholarly journals Analysis of GIS Based Morphometric Parameters and Hydrological Changes in Indrawati River Sub-Basin of Godawari Basin, Chhattisgarh, India

2020 ◽  
pp. 72-81
Author(s):  
Adikant Pradhan ◽  
T. Chandrakar ◽  
A. Kerketta ◽  
S. K. Nag ◽  
S. C. Mukherjee
Keyword(s):  
Morphometric Analysis ◽  
Overland Flow ◽  
Thermal Emission ◽  
Quantitative Description ◽  
Eastern Ghats ◽  
Mobile Belt ◽  
Elongation Ratio ◽  
Large Area ◽  
Stream Length ◽  
Basin Surface

Basin is main carrying surface of rainwater collected from basin area and moves to main drain as river system. The basin surface characteristic governs the movement, storage and drainage in basin due to rainwater. Morphometric analysis is a quantitative description of a basin with important aspect of the basin character. Godawari basin divided into five sub-basins. Indrawati is main tributary river of Godawari originated from Mardiguda, Dandakarnya range of Kalahandi district, Odisha. The basin includes BastarCraton covering a large area (>2105 km2) in Central India, bounded by two Mesoproterozoic mobile belts, the Eastern Ghats Mobile Belt (EGMB) to the east, Satpura Mobile Belt to the northwest, and two major Palaeozoic tectonic features the Godavari Graben to the southwest and the Mahanadi Graben in the northeast. The basin has been extracted using Advanced Space borne Thermal Emission and Reflection Radiometer (ASTERGDEM)30 m (USGS, 2012) images by giving pour points and it has been projected on WGS 1984 UTM zone 45 for the morphometric analysis was used. Morphometric analysis expresses various aspects of basin characters which are 8 stream order (u), 85636 stream number, 42259.27 Stream length (Lu) (km), 0.493 Mean Stream length (Lsm), 3.144 Bifurcation ratio (Rb), 0.002 Length of overland flow (Lg), 0.110 drainage density (Dd), 3.088 Stream frequency (Fs), 1.220 Form factor (Ff), 2.634 Circulatory ratio (Rc), 0.0040 Elongation ratio (Re), 6.348 Leminscate method (k) and 1.758Reliefratio of Indrawati basin.

scholarly journals A geomorphology based approach for digital elevation model fusion – case study in Danang City, Vietnam

2014 ◽  
Vol 2 (1) ◽  
pp. 255-296 ◽  
Author(s):  
T. A. Tran ◽  
V. Raghavan ◽  
S. Masumoto ◽  
P. Vinayaraj ◽  
G. Yonezawa
Keyword(s):  
Digital Elevation Model ◽  
Spatial Information ◽  
Thermal Emission ◽  
Accuracy Assessment ◽  
Weighted Averaging ◽  
Landform Classification ◽  
Shuttle Radar Topographic Mission ◽  
Digital Elevation ◽  
Elevation Data ◽  
Elevation Model

Abstract. Global Digital Elevation Model (DEM) is considered as vital spatial information and finds wide use in several applications. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global DEM (GDEM) and Shuttle Radar Topographic Mission (SRTM) DEM offer almost global coverage and provide elevation data for geospatial analysis. However, GDEM and SRTM still contain some height errors that affect the quality of elevation data significantly. This study aims to examine methods to improve the resolution as well as accuracy of available free DEMs by data fusion technique and evaluating the results with high quality reference DEM. The DEM fusion method is based on the accuracy assessment of each global DEM and geomorphological characteristics of the study area. Land cover units were also considered to correct the elevation of GDEM and SRTM with respect to the bare earth surface. Weighted averaging method was used to fuse the input DEMs based on landform classification map. According to the landform types, the different weights were used for GDEM and SRTM. Finally, a denoising algorithm (Sun et al., 2007) was applied to filter the output fused DEM. This fused DEM shows excellent correlation to the reference DEM having correlation coefficient R2 = 0.9986 and the accuracy was also improved from Root Mean Square Error (RMSE) 14.9 m in GDEM and 14.8 m in SRTM into 11.6 m in fused DEM.

scholarly journals Evaluasi Tingkat Akurasi Digital Elevation Model (DEM) SRTM dan ASTER GDEM dalam Pemodelan Daerah Aliran Sungai (DAS) Ciliwung

2019 ◽  
Vol 24 (2) ◽  
pp. 105
Author(s):  
Ade Suhendar Sutisna ◽  
Haryono Putro
Keyword(s):  
Digital Elevation Model ◽  
River Basin ◽  
Thermal Emission ◽  
Srtm Dem ◽  
Shuttle Radar Topographic Mission ◽  
Aster Gdem ◽  
Digital Elevation ◽  
Regression Test ◽  
Accuracy Result ◽  
Elevation Model

Availability of Digital Elevation Model (DEM) dataset and Geographic Information System (GIS), makes the watershed properties can be extracted automatically. There are two DEM providers which are freely accessible for research purposes and commonly use that is the Shuttle Radar Topographic Mission (SRTM) - DEM (30m) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model Version 2 (GDEM V2). Based on the result of modeling conducted at Ciliwung River Basin with Qgis application, area generated from SRTM data is 5% smaller than Ciliwung River Basin which obtained from BPDAS Ciliwung-Citarum as a reference, while the result of ASTER-GDEM data is 87% larger than reference. Linear Regression Test and t-Test performed on three segments of the watershed shows that the upstream of both samples gives a good accuracy result that is R2 = 0,999; P = 0,499 (SRTM) and R2 = 0,999; P = 0,481 (ASTER-GDEM), while in the middle and downstream segments respectively for both samples are SRTM with R2 = 0,993; P = 0,413 and R2 = 0,734; P = 0,088; and then ASTER-GDEM with R2 = 0,784; P = 0,00038 and R2 = 0,376; P = 1,27209 x10-22.

scholarly journals Morphometric analysis of the drainage network in the Vitosha Mountain (preliminary results)

2021 ◽  
Vol 82 (3) ◽  
pp. 210-212
Author(s):  
Petko Bozhkov
Keyword(s):  
Morphometric Analysis ◽  
Drainage Density ◽  
Morphometric Parameters ◽  
Topographic Maps ◽  
Drainage Network ◽  
Stream Length ◽  
Digital Elevation ◽  
Elevation Model ◽  
Channel Segment

The aim of the following case study is to analyze quantitatively the drainage network in the Vitosha Mountain, SW Bulgaria. Drainage network is outlined from topographic maps and extracted from digital elevation model (DEM). Several morphometric parameters are calculated – drainage density, channel-segment frequency, total stream length, etc. Hierarchy of tributaries and main rivers is also discussed.

scholarly journals Line Generalization Evaluation on Contour Map Generated From SRTM and ASTER GDEM

2018 ◽  
Vol 2 (1) ◽  
pp. 88-97
Author(s):  
Totok Wahyu Wibowo
Keyword(s):  
Digital Elevation Model ◽  
Thermal Emission ◽  
Contour Line ◽  
Topographic Map ◽  
Contour Map ◽  
Thematic Map ◽  
Shuttle Radar Topographic Mission ◽  
Aster Gdem ◽  
Digital Elevation ◽  
Elevation Model

A contour map is one of many layers that composed Informasi Geospasial Dasar (IGD), which according to Act. No 4 2011 serves as a reference for any thematic map. The provision of contour map at a different level of scale is needed since mapping activities will always refer to map scale based on the mapping area. This research aims to analyze automated contour generation quality to produce 1:50.000 contour map, by means of using open access Digital Elevation Model (DEM) data, such as Shuttle Radar Topographic Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM). The automated contour generation was done by using contour interpolation in Quantum GIS software. Furthermore, simplification and smoothing algorithm was applied to both data, in order to improve their visual appearance. In this case, there are four algorithms used in the study, namely Douglas-Peucker, Visvalingam, Chaikin, and McMaster. Quality assessment, both qualitative and quantitative assessment, was done to each derived contour map to ensure the applicability of the procedure. The result shows that contour map generated from SRTM has a better quality than contour map generated from ASTER GDEM. Nevertheless, both data has a similar pattern on each topographical classes, which tends to produce bad quality contour line in the flat area. The more mountainous the area, the better the contour line. Meanwhile, of all generalization algorithm applied in this study, Chaikin’s algorithm is the best algorithm in terms of smoothing the contour line and improving visual quality, but still doesn’t significantly improved the metric accuracy. The contour line can be either directly added to the Digital Cartographic Model of Topographic Map (Rupabumi Map), or used as compliance data in a thematic map.

scholarly journals A new vector-based global river network dataset accounting for variable drainage density

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Peirong Lin ◽  
Ming Pan ◽  
Eric F. Wood ◽  
Dai Yamazaki ◽  
George H. Allen
Keyword(s):  
Spatial Variability ◽  
Flow Direction ◽  
River System ◽  
Drainage Density ◽  
River Network ◽  
River Networks ◽  
Digital Elevation ◽  
Machine Learning Approach ◽  
Elevation Model ◽  
National Hydrography Dataset

AbstractSpatial variability of river network drainage density (Dd) is a key feature of river systems, yet few existing global hydrography datasets have properly accounted for it. Here, we present a new vector-based global hydrography that reasonably estimates the spatial variability of Dd worldwide. It is built by delineating channels from the latest 90-m Multi-Error-Removed Improved Terrain (MERIT) digital elevation model and flow direction/accumulation. A machine learning approach is developed to estimate Dd based on the global watershed-level climatic, topographic, hydrologic, and geologic conditions, where relationships between hydroclimate factors and Dd are trained using the high-quality National Hydrography Dataset Plus (NHDPlusV2) data. By benchmarking our dataset against HydroSHEDS and several regional hydrography datasets, we show the new river flowlines are in much better agreement with Landsat-derived centerlines, and improved Dd patterns of river networks (totaling ~75 million kilometers in length) are obtained. Basins and estimates of intermittent stream fraction are also delineated to support water resources management. This new dataset (MERIT Hydro–Vector) should enable full global modeling of river system processes at fine spatial resolutions.

scholarly journals Quantitative Geomorphological Analysis & Land Use/ Land Cover Change Detection of Two Sub-Watersheds in NE region of Punjab, India

2014 ◽  
Vol XL-8 ◽  
pp. 371-375 ◽  
Author(s):  
M. Kaur ◽  
S. Singh ◽  
V. K. Verma ◽  
B. Pateriya
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Morphometric Analysis ◽  
Morphometric Parameters ◽  
Geographical Information ◽  
Land Use Land Cover ◽  
Stream Length ◽  
Effective Manner

Morphometric analysis is the measurement and mathematical analysis of the landforms. The delineation of drainage system is of utmost importance in understanding hydrological system of an area, water resource management and it's planning in an effective manner. Morphometric analysis and land use change detection of two sub-watersheds namely Kukar Suha and Ratewal of district Shahid Bhagat Singh Nagar, Punjab, India was carried out for quantitative description of drainage and characterisation. The stream order, stream number, stream length, mean stream length, and other morphometric analysis like bifurcation ratio, drainage density, texture, relief ratio, ruggedness number etc. were measured. The drainage pattern of Kukar Suha and Ratewal is mainly dendritic. The agriculture and settlements came up along the drainage network causes the pattern disturbance in the watershed. The study was undertaken to spotlight the morphometric parameters, their impact on the basin and the land use land cover changes occurred over the period of time. Morphometric parameters such as linear aspect, areal aspect and relief aspect of the watershed are computed. The land use/land cover change was extracted from LISS IV Mx + Cartosat1 PAN data. ASTER data is used to prepare DEM (digital elevation model) and geographical information system (GIS) was used to evaluate various morphometric parameters in ArcGIS10 software.

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