scholarly journals Seasonal Variability of Waterlogging in Rangpur City Corporation Using GIS and Remote Sensing Techniques

2021 ◽  
Vol 6 (2) ◽  
pp. 143
Author(s):  
Md. Naimur Rahman ◽  
Sajjad Hossain Shozib
Keyword(s):  
Remote Sensing ◽  
Seasonal Variation ◽  
Water Distribution ◽  
Drainage System ◽  
Landsat 8 ◽  
Monsoon Period ◽  
Gis And Remote Sensing ◽  
Creative Commons ◽  
Post Monsoon ◽  
Raster Analysis

Waterlogging hazard is a significant environmental issue closely linked to land use for sustainable urbanization. NDWI is widely and effectively used in identifying and visualizing surface water distribution based on satellite imagery. Landsat 7 ETM+ and Landsat 8 OLI TIRS images of pre and post-monsoon (2002, 2019) have been used. The main objective of this study is to detect the seasonal variation of waterlogging in Rangpur City Corporation (RPCC) in 2002 and 2019. In the present study, we used an integrated procedure by using ArcGIS raster analysis. For pre and post-monsoon, almost 93% accuracy was obtained from image analysis. Results show that in 2002 during the pre and post-monsoon period, waterlogged areas were about 159.58 km2 and 32.32 km2, respectively, wherein in 2019, the changes in waterlogged areas are reversed than 2002. In 2019, during pre-monsoon, waterlogged area areas were 122.79 km2, and during post-monsoon, it increased to 127.05 km2. The research also depicts that the trend of the waterlogging situation largely depends on seasonal rainfall and a flawed drainage system. Keywords : Seasonal variation; Waterlogging; Remote sensing; GIS; Rangpur City Corporation   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

scholarly journals Delineating surface and sub surface waterlogged area using RS & GIS: a case study of Rachna Doab

2017 ◽  
Vol 5 (2) ◽  
pp. 81
Author(s):  
Hannan Mehmood ◽  
Mobushir Riaz Khan ◽  
Muhammad Amin ◽  
Rizwan Ali
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Landsat 8 ◽  
Monsoon Period ◽  
Groundwater Levels ◽  
Water Index ◽  
Post Monsoon ◽  
Waterlogged Area ◽  
Gis Environment

Remote sensing (RS) combined with Geographical Information Systems (GIS) offers fabulous contrasting option to routine mapping strategies in observing and mapping of surface and sub-surface waterlogged areas. In the present study, a pre-monsoon and post-monsoon surface waterlogged area was delineated in the four districts of Rachna doab, using Landsat 8 data acquired for the year 2014. Modified Normalized Difference Water Index (MNDWI) was used mainly to delineate surface waterlogged areas. Perennial surface waterlogged areas were assessed for the study area by incorporating the waterlogged areas derived for both the pre-monsoon and post-monsoon seasons under GIS environment. Result shows that the total surface waterlogged area in pre-monsoon is 5,861 ha, which is 0.51 % of study area and for post-monsoon the surface waterlogging is 8,661 ha, which is 0.75% of study area respectively. Perennial surface waterlogging is 3,573 ha, which is 0.30% of the study area. Maximum waterlogged area was observed in Gujranwala district followed by Hafizabad, Sheikhupura and Nankana Sahib respectively. Further, waterlogged areas caused by rise in groundwater level were also assessed spatially under ArcGIS environment using the piezometric data pertaining of pre-monsoon and post-monsoon seasons for the year 2014 which were spread all over the study area. The analysis of both the seasons of groundwater levels indicates that the area under critical category during pre-monsoon period was 47,309 ha, which is 4% of the total area. Area under most critical category during post-monsoon period increased from 47,309 to 131,070 ha, which is 11% of the total. The study shows utility of remote sensing and GIS for evaluation of waterlogging areas especially where waterlogging situations occurs because of excessive irrigation and accumulation of rain and floodwater.

scholarly journals Morphotectonic Analysis of the Upper Guajira, Colombia. A GIS and Remote Sensing Approach

2020 ◽  
Author(s):  
Juan David Solano Acosta ◽  
Ana Ibis Despaigne Diaz ◽  
Jillian Pearse
Keyword(s):  
Remote Sensing ◽  
Drainage System ◽  
Landsat 8 ◽  
South American ◽  
Distribution Analysis ◽  
Alos Palsar ◽  
Gis And Remote Sensing ◽  
Digital Elevation ◽  
Drainage Channels ◽  
Geological Map

This study uses Landsat 8 and Digital Elevation Models (DEM) to show the dominant orientations of digital lineaments and morphotectonic features between measured trends and the tectonic evolution of the Upper Guajira, Colombia, in the northernmost region of the South American plate. Data from Landsat-8 and hillshaded images of three Digital Elevation Model (DEM) images with different resolutions (SRTM: 90m, ASTER-GDEM: 30m and Alos-Palsar: 12.5m), were used for the extraction and mapping of morpholineaments, drainage network and morphological features. Lineaments were analyzed by means of north azimuth frequency, length, density distributions, lithological distributions and geochronological periods. Tectonic control was supported by using the digitized geological map created by the Colombian Geological Service (SGC). Lineaments and faults were analyzed through the interpretation of a Riedel shear model as a result of the transtensional/transpressional tectonic arrangement of the Caribbean and South American plates. The directional trends of lineaments and faults indicate two dominant directions: NE-SW and E-W. The azimuth distribution analysis of measured structures and drainage channels show similar trends, except for some differences in the predominant directions of some drainage channels. The similarity in the orientation of lineaments, faults and drainage system highlights the degree of control exerted by underlying structures on the surface geomorphological features. Drainage channel classification illustrates the morphological and neo-tectonic complexity of the region. The extracted lineaments were divided into five geochronological groups based on the main ages of host rock formations according to the Colombian Geological Service (SGC) geological map. From the Cretaceous onward, the lineament azimuth frequency rotates from a NE-SW trend to a prominent E-W direction, which resembles the translation that Caribbean plate has been undergoing since the Cretaceous. Our results confirm that Remote Sensing techniques are reliable and useful to study the morphotectonic of an area and can be applied to zones of difficult access.

scholarly journals The Application of Geographic Information System (GIS) and Remote Sensing in Quantifying Snow Cover and Precipitation in Kabul Basin

2020 ◽  
Vol 5 (1) ◽  
pp. 80 ◽  
Author(s):  
Qamar Zaman ◽  
Shahid Nawaz Khan
Keyword(s):  
Remote Sensing ◽  
Water Resources ◽  
Snow Cover ◽  
Tropical Rainfall Measuring Mission ◽  
Well Being ◽  
Snow Cover Area ◽  
Hydrologic Modelling ◽  
Gis And Remote Sensing ◽  
Creative Commons ◽  
The People

Water Resources availability is very important to social and economic well-being of the people and has huge impacts on the socio-economic scenarios of a country. Precipitation and snow cover area assessment is some of the major inputs in hydrologic modelling and also for assessing and managing water resources in a basin. The change in the water availability in a basin has huge socio-economic impacts because of the water usage for food production, industries, and many others. The main aim of this study was to measure the snow cover area and precipitation from 2001 to 2015 in the Kabul basin. Moderate Resolution Image Spectroradiometer (MODIS) and Tropical Rainfall measuring Mission (TRMM) data were used to study snow cover area and precipitation respectively during 2001-2015. 8-day snow cover product for 15 years (January) was used to analyse the snow cover while monthly data of TRMM (3B43) were used to analyse the rainfall from 2001-2015. Different image processing techniques were applied on the data retrieved using GIS and Remote Sensing softwares. Initially, SCA was seen increasing, but during the last 3-4 years, it kept decreasing gradually. Rainfall was initially recorded as low, while later on, it was recorded high and reached the highest during 2010. Keywords: MODIS; Snow Cover; TRMM; Precipitation; Kabul Basin; Remote Sensing   Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

scholarly journals Assessment of Land Use and Vegetative Cover in Kano Metropolis (from 1975-2015) Employing GIS and Remote Sensing Technology

2020 ◽  
Vol 27 (2) ◽  
pp. 1-7
Author(s):  
M. Haruna ◽  
M.K. Ibrahim ◽  
U.M. Shaibu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Landsat 8 ◽  
Vegetative Cover ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Agricultural Planning ◽  
Bare Land

This study applied GIS and remote sensing technology to assess agricultural land use and vegetative cover in Kano Metropolis. It specifically examined the intensity of land use for agricultural and non agricultural purpose from 1975 – 2015. Images (1975, 1995 and 2015), landsat MSS/TM, landsat 8, scene of path 188 and 052 were downloaded for the study. Bonds for these imported scenes were processed using ENVI 5.0 version. The result indicated five classified features-settlement, farmland, water body, vegetation and bare land. The finding revealed an increase in settlement, vegetation and bare land between 1995 and 2015, however, farmland decreased in 2015. Indicatively, higher percentage of land use for non agricultural purposes was observed in recent time. Conclusively, there is need to accord surveying the rightful place and priority in agricultural planning and development if Nigeria is to be self food sufficient. Keywords: Geographic Information System, Agriculture, Remote sensing, Land use, Land cover

scholarly journals Remote Sensing Application for Exploring Land Use and Land Cover Dynamics in and Around Chatra Wetland, English Bazar, West Bengal

2021 ◽  
Vol 9 (1) ◽  
pp. 15-27
Author(s):  
Saleha Jamal ◽  
Md Ashif Ali
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
United States Geological Survey ◽  
Landsat 8 ◽  
Gis And Remote Sensing ◽  
Erdas Imagine ◽  
Landsat 7 ◽  
Vegetation Water

Wetlands are often called as biological “supermarket” and “kidneys of the landscape” due to their multiple functions, including water purification, water storage, processing of carbon and other nutrients, stabilization of shorelines and support of aquatic lives. Unfortunately, although being dynamic and productive ecosystem, these wetlands have been affected by human induced land use changes. India is losing wetlands at the rate of 2 to 3 per cent each year due to over-population, direct deforestation, urban encroachment, over fishing, irrigation and agriculture etc (Prasher, 2018). The present study tries to investigate the nature and degree of land use/land cover transformation, their causes and resultant effects on Chatra Wetland. To fulfil the purpose of the study, GIS and remote sensing techniques have been employed. Satellite imageries have been used from United States Geological Survey (USGS) Landsat 7 Enhanced Thematic Mapper plus and Landsat 8 Operational Land Imager for the year 2003 and 2018. Cloud free imageries of 2003 and 2018 have been downloaded from USGS (https://glovis.usgs.gov/) for the month of March and April respectively. Image processing, supervised classificationhas been done in ArcGis 10.5 and ERDAS IMAGINE 14. The study reveals that the settlement hasincreased by about 90.43 per cent in the last 15 years around the Chatra wetland within the bufferzone of 2 Sq km. Similarly agriculture, vegetation, water body, swamp and wasteland witnessed asignificant decrease by 5.94 per cent, 57.69 per cent, 26.64 per cent 4.52 per cent and 55.27 per centrespectively from 2003 to 2018.

scholarly journals Application of GIS and remote sensing to build up a map of environmental geological suitability for residential buildings on Thi Vai river basin

2019 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Tuong Van Ngo Thi ◽  
Hoang Anh Nguyen
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Residential Buildings ◽  
Satellite Image ◽  
Landsat 8 ◽  
Environmental Capacity ◽  
Remotely Sensed Data ◽  
Construction Sites ◽  
Gis And Remote Sensing ◽  
Suitability Maps

Geological environment zonation is to divide the areas into relatively homogeneous units based on their natural factors such as hydrology, topography, geology, disasters... to create geoenvironmental units which suit a specific type of exploitation for the purpose of research or regional management. This study presents a process of integrating GIS and remotely sensed data to develop a map of environmental geological zonning for the planning of development of the efective and safety construction sites. Data used in this work include Landsat 8 satellite image classified by application of Fuzzy Logic method to build the map of land use status which includes construction sites, and the GIS data including geology, topography, engineering geology and hydrogeology. The result from this process of integration is the suitability maps of appropriate units for the development of construction sites on the Thi Vai river basin. This map shows 3 different levels of geological environmental condition for development of the construction sites. This result demonstrates the efficiency of the integration of GIS and remote sensing to build tools to assist for the environmental capacity management, for data analysis, and beyond, to identify and incorporate the influencing factors to the subjects of management or research.  

scholarly journals Seasonal Variation on Physiochemical Parameters and Macrophytes Production of Rupa Lake, Kaski, Nepal

2015 ◽  
Vol 26 ◽  
pp. 80-87
Author(s):  
Devendra Kunwar ◽  
Anjana Devkota
Keyword(s):  
Seasonal Variation ◽  
Dissolved Oxygen ◽  
Aquatic Macrophytes ◽  
Growth Form ◽  
Experimental Period ◽  
Monsoon Period ◽  
The Third ◽  
Post Monsoon ◽  
Physiochemical Parameters ◽  
Pokhara Valley

The Rupa lake is the third largest and heavily tampered lake of Pokhara Valley. Physiochemical parameters like, water temperature, pH, dissolved oxygen (DO), total nitrogen (TN) and PO4-P and biomass of aquatic macrophytes were analyzed during pre and post-monsoon. Biomass ranged from 27.25g/m2–389.25g/m2 throughout the experimental period and the highest biomass was observed during post-monsoon period. Regarding the growth form, the highest biomass was represented by emergents (251.16 ± 95.16g/m2) and lowest biomass by submerged species (48.39 ± 7.27g/m2). The lake can be categorized as eutrophic.J. Nat. Hist. Mus. Vol. 26, 2012: 80-87

scholarly journals INVESTIGATION OF TEMPORAL CHANGE OF LAND USE IN ELMALI BASIN USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 373-378
Author(s):  
H. Menteşe ◽  
A. Eymen
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Temporal Change ◽  
Geographical Information ◽  
Support Vector ◽  
Landsat 8 ◽  
Marmara Region ◽  
Gis And Remote Sensing

Abstract. The sustainable use of water and soil, which are indispensable for living things, is closely related to the concept of land use. While land use is becoming gradually modern as a necessity of the age, urbanization and industrialization are also gaining great importance. So much so that, in Turkey, where agriculture-based economy was emphasized until the 1980s, interest in exports of industrial products has increased in recent years and industrial investments especially in the Marmara region have increased considerably. This situation has increased job opportunities due to the industrialization developing in the region and has led to an increase in the population in parallel. The structure process has accelerated in order to meet the needs of the increasing population.Basin areas, which contain a wide variety of classes, are among the regions that are highly affected by these changes. Within the scope of the study, Elmalı Basin, which is used to supply potable and utility water to the province of Istanbul, was chosen as the study area. Within the scope of the research, the temporal change of the land use in Elmalı Basin has been investigated by using Landsat-8 satellite with a spatial resolution of 30 meters for the years 2013, 2015, 2018 and 2020 taking advantage of Geographical Information Systems (GIS) and Remote Sensing (RS) technologies. Classification was made with support vector machines, one of the controlled classification methods on satellite images, and the changes in land use were evaluated by comparing the images of working years.

scholarly journals ASSESSING THE IMPACT OF CANAL NETWORK ON SURFACE WATERLOGGING USING REMOTE SENSING DATASETS IN ROHTAK DISTRICT, HARYANA

2018 ◽  
Vol XLII-5 ◽  
pp. 261-266
Author(s):  
S. Kaushik ◽  
P. R. Dhote ◽  
P. K. Thakur ◽  
S. P. Aggarwal
Keyword(s):  
Remote Sensing ◽  
Sar Images ◽  
Monsoon Period ◽  
Band Ratio ◽  
Water Index ◽  
Radar Images ◽  
Post Monsoon ◽  
Normalized Difference Water Index ◽  
Surface Drains ◽  
The Impact

<p><strong>Abstract.</strong> Remote Sensing is a very reliable and expeditious technique for assessment and mapping of surface waterlogged areas. In this study band ratio based NDWI index (Normalized Difference Water Index) was used for extracting water pixels from optical imageries. To overcome the limitation of false positives and cloud penetration associated with optical imageries waterlogged areas was also extracted using SAR (Synthetic Aperture Radar) images. Thresholding of NDWI for optical image and Sigma0 for SAR images was done using their respective histograms to distinguish water and terrestrial features. The total surface waterlogged areas in the district was calculated by integrating the results from both optical and SAR images. It was found that surface waterlogged areas varies temporally from pre-monsoon to post-monsoon period in Rohtak district, Haryana. The surface waterlogged area for pre monsoon period is around 9.7<span class="thinspace"></span>km<sup>2</sup> and for post monsoon period is 17.86<span class="thinspace"></span>km<sup>2</sup>. The canal and surface drain network in the district was digitized using the high resolution Sentinel 2 MSS images. Since most of the canals in the area are unlined a buffer of 500<span class="thinspace"></span>m either side of the canals and surface drains was considered to assess the impact of seepage and leakage from canals and surface drains. It was found that more than 50% of the total surface waterlogged areas fall within this buffer, clearly indicating the contribution of leakages from canals and surface drains on surface waterlogging.</p>

Spatial Characteristics of the Southern Al Jabal Al Akhdar Watersheds: Remote Sensing Approach

2020 ◽  
Vol 3 (1) ◽  
pp. 37-48
Author(s):  
Salah Hamad
Keyword(s):  
Remote Sensing ◽  
Global Climate ◽  
Geographical Information ◽  
Slope Aspect ◽  
Landsat 8 ◽  
The South ◽  
Stream Length ◽  
Spatial Characteristics ◽  
Gis And Remote Sensing ◽  
The North

The present study is to evaluate the spatial characteristics of the watersheds located in Northeast Libya, which is vital since the area is promising for surface water investment in rain-fed agriculture and pastoral activities. The study conducted using Geographical Information System (GIS) and Remote Sensing (RS) data sets: SRTM elevation data, Landsat 8 (OLI) imagery and Global Climate Monitor (GCM) data. SRTM data processed in ArcGIS, where elevations show a progressive decrease towards the South and eleven watersheds delineated (17721km2). Moreover, the perimeter, slope, aspect, and stream length of the watersheds also calculated. The hydrologic divide bounds the watersheds in the North delineated; it extends from the Southwest to the East with a length of 470km. Also, the outlets of the watersheds, which are mostly temporary lakes, those locally known as Balat assessed spatially. Landsat 8 imagery classified by Quantum GIS (QGIS), where five classes identified (alluvial plains, spreading zones, forest, grassland and bare rocks). Furthermore, precipitation and temperature data from the GCM was mapped, where the precipitation shows the highest rates in the North and gradual decrease to the South, unlike the temperature values indicate an increase towards the South and drop in the North.

Sign in / Sign up

Export Citation Format

Share Document