REMOTE SENSING AND GIS APPLICATIONS IN FLOOD MANAGEMENT:
Using GIS information is stored in a database that can be graphically displayed for analysis. By overlaying or intersecting different geographical layers, flood prone areas can be identified and targeted for mitigation or stricter floodplain management practices.
Areas where the maximum amount of delineation has been identified and has been pointed out. Rainfall has been the main reason for flooding in areas like koramangla, hebbbal, hsr layout and other nearby areas.
Rainfall data, elevation data, volumetric analysis has been studied using GIS in order to find out the affected areas.
Geo profiling data
- Detailed mapping,
- Developing large scale view
- City morphology studies- time period, asset loss, prone areas of flooding, etc
Flood inundation mapping can be used:
- To define spatial extent of flood inundation.
- To identify the worst flood affected areas.
- To evaluate impact of flooding on environmental concerns, such as, coastlines, forests, open space etc.
- To plan relief operation.
- To assess damage.
Landuse /Landcover maps helps us in detecting changes in terms of land use trends, green cover management and other changes over a period of time. Land cover data documents how much a region is covered by forests, wetlands, impervious surfaces, agriculture and other land and water types.
Landuse shows how people use their landscape weather for development, conservation or mixed uses. The different types of land cover can be managed or used quite differently. Land use cannot be determined from satellite imagery.
Land Cover maps provide information to understand the current landscape . To see the changes over time, land cover maps for several different years are needed. With this information analyst can evaluate past management decisions as well as gain insight into the possible effects of their current decisions before they are implemented.
CHANGE DETECTION USING GIS
Geospatial methodology has been used for this research. For map making and editing GIS software, Quantum GIS has been used. For processing the satellite imageries ERDAS software has been used. Supervised classification techniques has been used in the AOI.
Marat Longri Wildlife Sanctuary, spreading 451.00 sq. kms. is located in Karbi Anglong Autonomous District Council. It is an important component of Dhansiri-Lungding Elephant Reserve. The given data below shows the total area in (sq. km). for different land use patterns for the year 2020. We are making a future predictaibility land use mapping for the year 2030 trying to understand the change and the reasond in land use pattern of the area.
Classification Area in sq.km
Agriculture – 556051.5806 km
Barren Land – 5680063.007 km
Builtup Areas – 27224983.18 km
Dense Forest – 188808433.9 km
Moderate Dense Forest – 80897158.85 km
COMPARATIVE ANALYSIS OF ENVIRONMENTAL CHANGE DETECTION PROFILE -A CASE STUDY OF ORANG NATIONAL PARK - A GEOINFORMATICS APPROACH
Orang National Park is one of the major National park located in the District of Sonitpur and Darrang situated in the northern bank of river Brahmaputra. We have pointed out that Orang National Park is situated between 26 ͦ29’N and 26 ͦ40’ N latitude and 92 ͦ16’ E and 92 ͦ27’E longitude, it covers a large of Sonitpur and Darrang District of Assam with an area of 78.80 sq. kms and it is an crucial breeding ground for varieties of Fishes. Orang National Park is also declared as mini Kaziranga National Park (IUCN) site.
Multi Spectral images from LANDSAT TM and OLI images of the year 1990 and 2019 were used to evaluate forest use changes in the study area. Images were classified into eight LULCC. These includes, Evergreen Forest, Deciduous Forest, Agricultural Land, Barren Land, Wetland, River and Sandbar. Similarly to other national park, Orang National Park is experiencing absent of Forest depletion. The change detection analysis result shows the dynamics of land use types such as Agricultural Land and built up areas are found in the study area.