Islam, 2009 - Google Patents
Bank erosion and movement of river channel: A study of Padma and Jamuna Rivers in Bangladesh using remote sensing and GISIslam, 2009
View PDF- Document ID
- 9459444555096007422
- Author
- Islam M
- Publication year
- Publication venue
- Division of Geoinformatics, Royal Institute of Technology, Stockholm, Sweden
External Links
Snippet
Bangladesh is a riverine, flood prone country. Erosion and deposition of river banks by water flow and flood are natural phenomena which cause channel movement. Remote sensing and geographic information systems provide tools for quantitative and qualitative land cover …
- 240000002853 Nelumbo nucifera 0 title abstract description 74
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
- G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
- G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Serran et al. | New mapping techniques to estimate the preferential loss of small wetlands on prairie landscapes | |
Lang et al. | Assessment of C-band synthetic aperture radar data for mapping and monitoring Coastal Plain forested wetlands in the Mid-Atlantic Region, USA | |
Tehrany et al. | Remote sensing data reveals eco-environmental changes in urban areas of Klang Valley, Malaysia: contribution from object based analysis | |
Emran et al. | Coastline change and erosion-accretion evolution of the Sandwip Island, Bangladesh | |
Yue et al. | Variations in the lake area, water level, and water volume of Hongjiannao Lake during 1986–2018 based on Landsat and ASTER GDEM data | |
Surampudi et al. | Mapping and assessing spatial extent of floods from multitemporal synthetic aperture radar images: a case study on Brahmaputra River in Assam State, India | |
Konko et al. | Multitemporal analysis of coastal erosion based on multisource satellite images in the south of the Mono Transboundary Biosphere Reserve in Togo (West Africa) | |
Ashtekar et al. | Utility of normalized difference water index and GIS for mapping surface water dynamics in sub-upper Krishna Basin | |
Rapinel et al. | Fine-scale monitoring of long-term wetland loss using LiDAR data and historical aerial photographs: The example of the couesnon floodplain, France | |
Sadek et al. | Low‐Cost Solutions for Assessment of Flash Flood Impacts Using Sentinel‐1/2 Data Fusion and Hydrologic/Hydraulic Modeling: Wadi El‐Natrun Region, Egypt | |
Oșlobanu et al. | Built-up area analysis using Sentinel data in metropolitan areas of Transylvania, Romania | |
Van Leeuwen et al. | Towards a continuous inland excess water flood monitoring system based on remote sensing data | |
Islam | Bank erosion and movement of river channel: A study of Padma and Jamuna Rivers in Bangladesh using remote sensing and GIS | |
Arshad et al. | A remote sensing technique detecting and identifying water activity sites along irrigation canals. | |
Jakovljević et al. | Water body extraction and flood risk assessment using Lidar and open data | |
Sudalaimuthu et al. | Development of digital elevation model for assessment of flood vulnerable areas using Cartosat‐1 and GIS at Thamirabarani river, Tamilnadu, India | |
Komárková et al. | Spectral enhancement of imagery for small inland water bodies monitoring: utilization of UAV-based data | |
Saha et al. | Flood vulnerability assessment by remote sensing and GIS based applications in West Bengal: A review | |
Asad et al. | Use of remote sensing for urban impervious surfaces: a case study of Lahore | |
Subedi et al. | Small water bodies detection and evaluation using normalized Difference Water Index (NDWI) from Landsat image in Western Terai, Nepal | |
Mardiatno et al. | Identification of flood-prone area using remotely sensed data-Case in Tanjung Selor City, North Kalimantan | |
Heckel et al. | The first sub-meter resolution digital elevation model of the Kruger National Park, South Africa | |
Sipelgas et al. | Mapping recurrent flooding zone along estonian inland waters from Sentinel-1 and-2 | |
Misbari et al. | Geo-analytical hierarchy process for flood risk mapping using moderate resolution of satellite images | |
Fuazi et al. | Identifying shoreline changes in Tanjung Burung Forest Reserve and its impact on mangrove stands using geospatial technique |