Multi-flow direction algorithms for extracting drainage network based on digital elevation model

2007 ◽  
Author(s):  
Yu Zhang ◽  
Yongxue Liu ◽  
Zhenjie Chen
Keyword(s):  
Digital Elevation Model ◽  
Flow Direction ◽  
Drainage Network ◽  
Digital Elevation ◽  
Elevation Model

scholarly journals Delineation of Drainage Network and Estimation of Total Discharge using Digital Elevation Model (DEM).

2019 ◽  
Author(s):  
Rana Muhammad Imran ◽  
Abdul Rehman ◽  
Muhammad Muzamil Khan ◽  
Muhmmad Rahat Jamil ◽  
Usman Abbas ◽  
...  
Keyword(s):  
Fresh Water ◽  
Digital Elevation Model ◽  
Flow Direction ◽  
Drainage Network ◽  
Rapid Urbanization ◽  
Agriculture Industry ◽  
Gis Tools ◽  
Digital Elevation ◽  
Elevation Model ◽  
Total Discharge

The rapid urbanization and the population growth, have increased the demands of fresh water to manage various tasks from domestic to industrial scales. Various man driven sectors such as agriculture, industry and water filtration plants, require fresh water to cater the need of increasing population. Therefore, the management of available fresh water reservoirs is of great importance to save water for a sustainable future “save water save life”. Digital elevation model (DEM) is efficient to extract the drainage network, basin boundaries and to evaluate the volume of fresh water available in study site. We used Arc hydro tools in Arc GIS interface for extraction of drainage network in the study site. Flow direction and accumulation were computed according to Z-value of individual pixel available in the raster grid. A total 127 streams were extracted against 127 catchments. We observed that the catchments bearing steep slopes were incised in comparison to gentle slopes which were mostly eroded. We evaluated the total discharge in cusec using Q=CIA, where the coefficient ‘C’ of rainfall was substituted as 0.76 for each catchment having rocky soil type. The total discharge was estimated as 10871 cusec. GIS tools proved efficient to map watershed in the study site.

Lowlands Mapping in Forest Guinea

2013 ◽  
Vol 4 (1) ◽  
pp. 20-34 ◽  
Author(s):  
S. Saïdi ◽  
A. Camara ◽  
L. Gazull ◽  
M. Passouant ◽  
M. Soumaré
Keyword(s):  
Surface Topography ◽  
Digital Elevation Model ◽  
Low Cost ◽  
Mapping Method ◽  
Drainage Network ◽  
Digital Elevation ◽  
Agricultural Potential ◽  
Forested Areas ◽  
Main Index ◽  
Elevation Model

This article presents a lowland mapping method for the Forested Guinea (Guinée Forestière) using a 30 m resolution Digital Elevation Model (DEM) that is currently the best option to analyze large forested areas. This low cost DEM method applies surface topography analysis processes to better discriminate areas with stagnant and/or accumulated water. The main index selected is the immediate proximity of flat areas to drainage network, the former with slope gradients not exceeding 5% (2.86°). The mapped lowlands potential cover a surface of 4516 km2, i.e., 10% of the total area of the region with hydro-agricultural potential.

scholarly journals Automated Conflation of Digital Elevation Model with Reference Hydrographic Lines

2020 ◽  
Vol 9 (5) ◽  
pp. 334
Author(s):  
Timofey E. Samsonov
Keyword(s):  
Spatial Analysis ◽  
Digital Elevation Model ◽  
Spatial Data ◽  
Drainage Network ◽  
Map Generalization ◽  
Data Types ◽  
Digital Elevation ◽  
Elevation Data ◽  
Elevation Model ◽  
Different Sources

Combining misaligned spatial data from different sources complicates spatial analysis and creation of maps. Conflation is a process that solves the misalignment problem through spatial adjustment or attribute transfer between similar features in two datasets. Even though a combination of digital elevation model (DEM) and vector hydrographic lines is a common practice in spatial analysis and mapping, no method for automated conflation between these spatial data types has been developed so far. The problem of DEM and hydrography misalignment arises not only in map compilation, but also during the production of generalized datasets. There is a lack of automated solutions which can ensure that the drainage network represented in the surface of generalized DEM is spatially adjusted with independently generalized vector hydrography. We propose a new method that performs the conflation of DEM with linear hydrographic data and is embeddable into DEM generalization process. Given a set of reference hydrographic lines, our method automatically recognizes the most similar paths on DEM surface called counterpart streams. The elevation data extracted from DEM is then rubbersheeted locally using the links between counterpart streams and reference lines, and the conflated DEM is reconstructed from the rubbersheeted elevation data. The algorithm developed for extraction of counterpart streams ensures that the resulting set of lines comprises the network similar to the network of ordered reference lines. We also show how our approach can be seamlessly integrated into a TIN-based structural DEM generalization process with spatial adjustment to pre-generalized hydrographic lines as additional requirement. The combination of the GEBCO_2019 DEM and the Natural Earth 10M vector dataset is used to illustrate the effectiveness of DEM conflation both in map compilation and map generalization workflows. Resulting maps are geographically correct and are aesthetically more pleasing in comparison to a straightforward combination of misaligned DEM and hydrographic lines without conflation.

scholarly journals Uso de Modelo Digital de Elevação Gerados a partir do ASTER GDEM e SRTM para Caracterização da Rede de Drenagem do Município de Renascença no Sudoeste do Estado do Paraná (Use of Digital Elevation Model Generated from the SRTM and ASTER GDEM for...)

2011 ◽  
Vol 4 (2) ◽  
pp. 365 ◽  
Author(s):  
Julio Caetano Tomazoni ◽  
Elisete Guimarães ◽  
Tayoná Cristina Gomes ◽  
Taisller Guimarães da Silva
Keyword(s):  
Digital Elevation Model ◽  
Digital Elevation Models ◽  
Drainage System ◽  
Drainage Network ◽  
Aster Data ◽  
Aster Gdem ◽  
Drainage Networks ◽  
Digital Elevation ◽  
Elevation Model ◽  
Spot 5

Este trabalho avalia a adequação do uso de modelos digitais de elevação, provenientes da manipulação de dados altimétricos da missão SRTM e do instrumento imageador ASTER, para atualização de mapas da rede de drenagem do município de Renascença PR. Para caracterização da rede de drenagem a partir de dados SRTM e ASTER utilizou-se o software SPRING 5.1.7. A rede hidrográfica, obtida por esses dois métodos foi cruzada com a malha hidrográfica extraída de cartas geográficas do exército e imagens ortorretificadas do satélite SPOT 5. Os resultados demonstram que a rede de drenagem, obtida a partir de dados SRTM e ASTER, não é satisfatória por não determinar a grande maioria dos cursos d’água de primeira e segunda ordens. Já os de terceira, quarta e quinta ordens, que são identificados, na grande maioria estão localizados fora do curso real encontrados pelas cartas do exército e imagens ortorretificadas. Os dados demonstram que a vegetação das matas ciliares são captadas pelo SRTM e ASTER e interferem nas variações de altitude e por conseguinte no mau delineamento das redes de drenagem.Palavras chaves – Rede de drenagem; hidrografia; modelos digitais de elevação; SRTM, ASTER.  Use of Digital Elevation Model Generated from the SRTM and ASTER GDEM for Characterization of Drainage  ABSTRACTThis paper assesses the suitability of using digital elevation models, resulting from manipulation of altimetric mission SRTM and ASTER instrument, to update maps of the drainage network in the municipality of Renaissance PR. To characterize the drainage network from SRTM and ASTER data used the software SPRING 5.1.7. The hydrographic network, obtained by these two methods was crossed with a mesh extracted from hydrographic maps of the army and orthorectified images of the SPOT 5 satellite. The results show that the drainage system, derived from SRTM and ASTER data is not satisfactory because they do not determine the vast majority of streams of first and second orders. Already the third, fourth and fifth orders, which are identified in the vast majority are located outside the actual course of the letters found by the army and orthorectified images. The data show that the riparian vegetation are acquired by SRTM and ASTER and interfere with the variations in altitude and therefore the bad design of drainage networks. Keywords - Drainage network; hydrography; digital elevation models; SRTM; ASTER GDEM.

scholarly journals Penerapan Algoritma Multiple Flow Diection Untuk Pemodelan Genangan Banjir

2021 ◽  
Author(s):  
Mohamad Arif Suryawan ◽  
Ery Muchyar Hasiri
Keyword(s):  
Digital Elevation Model ◽  
Flow Direction ◽  
Digital Elevation ◽  
Elevation Model

Genangan air sering kali terjadi pada daerah rendah karena volume air hujan yang besar. Genangan air dalam jumlah besar dapat mengakibatkan banjir, oleh karena itu diperlukan simulasi genangan air dengan bantuan aplikasi komputer. Penelitian ini bertujuan untuk mengetahui genangan banjir yang terjadi berdasarkan titik-titikketinggian piksel pada peta Digital Elevation Model (DEM), titik-titik ketinggian piksel mewakili ketinggian permukaan tanah. Algoritma Multiple Flow Direction (MFD) digunakan untuk mengetahui arah dan genangan air yang mungkin terjadi pada daerah rendah. Penelitian ini merupakan perancangan sistem dalam bentukpemodelan yang diawali dengan perumusan masalah, studi kepustakaan dan penelitian ekperimental dengan mengembangkan algoritma MFD untuk menentukan arah aliran air. Air akan mengalir ke seluruh area piksel disekelilingnya yang memiliki nilai piksel yang lebih rendah dari piksel awal. Hasil penelitian ini menunjukkandaerah genangan banjir yang terjadi dari beberapa sumber titik awal air mengalir.

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.   

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