Results 11 to 20 of about 227,565 (305)

Drainage pattern recognition method considering local basin shape based on graph neural network

open access: yesInternational Journal of Digital Earth, 2023
Drainage pattern recognition is crucial for geospatial understanding and hydrologic modelling. Currently, drainage pattern recognition methods employ geometric measures of overall and local features of river networks but lack measures of river basin unit
Wenning Wang   +7 more
doaj   +2 more sources

The usefulness of alos-palsar dem data for drainage extraction in semi-arid environments in The Iishana sub-basin

open access: yesJournal of Hydrology: Regional Studies, 2019
Study region: The study area is the Iishana sub-basin located in north-central Namibia. The basin is characterised by low-lying interconnected ephemeral drainage networks locally known as Iishana.
Johanna Ngula Niipele, Jianping Chen
doaj   +3 more sources

Identification of drainage basin borders at local spatial scale [PDF]

open access: yesВопросы лесной науки, 2019
The basin concept to nature management is used in various studies on ecological monitoring of terrestrial ecosystems. The objective of this study is to identify the borders of drainage basins on the territory of Pechora-Ilych Nature Reserve and its ...
A.S. Plotnikova, A.O. Kharitonova
doaj   +1 more source

Analysis of Snow Cover in River Drainage basin Based on MODIS Data [PDF]

open access: yesE3S Web of Conferences, 2019
In this paper, MODIS snow cover remote sensing data and Geographic Information System (GIS) technology were used to analyze extraction methods of the snow cover area information.
Abudurexiti Xieraili, Maimaiti Meiliguli
doaj   +1 more source

Implementation of space imageries, remote sensing and GIS techniques in the geological and geomorphological analysis of Wadi Fatima drainage basin, Saudi Arabia

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2023
This research aims to apply various digital image processing methods of satellite imageries and remote sensing techniques in the geological and geomorphological analysis of Wadi Fatima area, Saudi Arabia.
Adel Zein Bishta, Ebrahim Zahed Qudsi
doaj   +1 more source

Seasonal surface drainage of sloping farmland : a review of its hydrogeomorphic impacts [PDF]

open access: yes, 2015
The combination of runoff-generating areas (saturated soils) and overland flow concentration in features such as drainage ditches makes sloping farmland vulnerable to soil erosion.
Alt   +67 more
core   +2 more sources

Temporal and spatial variations in maximum river discharge from a new Russian data set [PDF]

open access: yes, 2007
Floods cause more damage in Russia than any other natural disaster, and future climate model projections suggest that the frequency and magnitude of extreme hydrological events will increase in Russia with climate change.
Lammers, Richard B.   +4 more
core   +3 more sources

Morphotectonic Analysis of the Muchkundi River Basin, Ratnagiri District, Maharashtra, India: A Remote Sensing and GIS Approach. [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Muchkundi River basin is located on the Central West Coast of India, in Ratnagiri district, Maharashtra. Remote sensing techniques using IRS-P6 satellite images are useful tools for morphotectonic analysis of a drainage basin.
P. P. Bagul, O. Parab, M. A. Herlekar
doaj   +1 more source

Constructal view of scaling laws of river basins [PDF]

open access: yes, 2006
River basins are examples of naturally organized flow architectures whose scaling properties have been noticed long ago. Based on data of geometric characteristics, Horton [Horton, R.E., 1932. Drainage basin characteristics. EOS Trans. AGU 13, 350–361.],
Reis, A. Heitor
core   +1 more source

Hydrological inferences through morphometric analysis of lower Kosi river basin of India for water resource management based on remote sensing data

open access: yesApplied Water Science, 2018
Satellite based remote sensing technology has proven to be an effectual tool in analysis of drainage networks, study of surface morphological features and their correlation with groundwater management prospect at basin level. The present study highlights
Praveen Kumar Rai   +3 more
doaj   +1 more source

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