Applications of GIS & RS for Wetland Management in Mudigere Taluk, Chikkamagalur District, Karnataka

2018 ◽  
Vol 6 (9) ◽  
pp. 54
Author(s):  
N. S. Satish ◽  
C. G. Shruthi ◽  
Kiran B. M
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Functional Analysis ◽  
Land Cover ◽  
Wetland Management ◽  
Anthropogenic Activities ◽  
Large Body ◽  
Population Increase ◽  
Water Runoff ◽  
Land Use Land Cover

'Wetland' denotes a large body of water surrounded by land, whether natural or artificial,permanent or temporary with water that is lentic or lotic. Wetlands perform some useful functions in the maintenance of overall balance of nature. Due to economic growth,urbanization,population increase and industrialization, more and more waste materials were discharged in to it, make it unfit for any uses. Hence to maintain the ecological balance,it is imperative to preserve these wetlands to make it fit for various purposes. Study is being undertaken in Mudigere taluk of Chikkamagaluru District, to identify the number of wetlands in the taluk and to assess the status of wetlands), Geographic Information System(GIS) is used to develop a system for the functional analysis of wetlands and to estimate the rainfall and runoff pattern using land-use/land-cover on wetlands and associated ecosystems .The study involves a detailed investigation of physical and chemical water quality parameters of 7 lake, carried out for a period of three months from March to May, the result reveals that the water is not polluted only turbidity exceeds the permissible limit due storm water runoff and 2 lakes have attended the Eutrophic condition due to agriculture run-off, sewage pollution and anthropogenic activities. A System for the Functional Analysis of Wetland using GIS,remote sensing data, topographical maps. Rainfall and Runoff pattern is estimated using land-use/land-cover, Soil using GIS and Remote Sensing Technique.

ASSESSMENT OF LAND COVER CHANGES DUE TO ANTHROPOGENIC CAUSES IN THE MOUNTAINOUS AREA OF ISHKOMAN WATERSHED, GILGIT, PAKISTAN

2021 ◽  
Vol 14(63) (1) ◽  
pp. 25-46
Author(s):  
Komal NABI ◽  
Karamat ALI ◽  
Muhammad Irfan ASHRAF ◽  
Areeba Binte IMRAN ◽  
Naveed AHMAD
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Temporal Changes ◽  
Population Increase ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Community Perception ◽  
Land Type ◽  
Land Use Dynamics

Remote Sensing (RS) provides the best ways to monitor temporal changes and to understand land use dynamics. Remote sensing analysis can be further enhanced when community perception regarding major drivers of change is integrated. The present study was an attempt to assess the land use land cover changes in the Ishkoman watershed in the Ghizer district. The study explored Landsat-5 and Landsat-8 images to assess the LULC dynamics from 1998 to 2018, and also used questionnaires for community perception regarding LULC changes in the past two decades. Supervised classification was used to monitor changes between 1998 and 2018 and the maximum likelihood technique was used to categorize the pixels into six classes: vegetation/forest area, bare rocks, water bodies, glaciers/snow area, rivers, water, and agriculture. Regarding the questionnaires, the correlation matrix and regression models were developed between independent variables (population, land type cleared, and extra land required for new family members) and dependent variables (land use dynamics factors and socio-economic variables). The results showed that all six land cover classes have shown temporal changes between 1998-2018 and the most significant change was observed in forests and pastures (which decreased from 18.7% to 5.9 %). Similarly, glaciers, water, rivers, and agriculture have changed from 13.1, 6.5, 9.3, 1.5 to 15.8, 4.0, 11.32, 3.1, respectively between 1998-2018. The largest change was observed in bare rocks which increased from 50.2 % to 60.06%. Moreover, temporal NDVI analysis showed a decrease in vegetation cover (conversion to bare rocks) between 1998-2018. The questionnaire results revealed that the highest correlation was shown between population increase and decrease in crop production (R2 = -0.348), whereas the lowest correlation was found in population increase and population access to bus stops (R2 = -0.167). Similarly, the highest correlation was found between access to roads and markets (R2 = 0.349) and dependent variable (land type cleared), whereas the lowest correlobserved in access to water resources (R2 = -0.021). The study concluded that land use land cover has been significantly changed from 1998 to 2018 in the Ishkoman Watershed. The study suggested more in-depth research to examine land use land cover changes at finer scales by using high resolution satellite imagery, and conducting details surveys regarding the underlying anthropogenic causes of land use dynamics.

scholarly journals Geo-spatial Analysis of Land Use Land Cover (LULC) Changes in Oluwa Forest Reserve and its Environs

2021 ◽  
Vol 25 (7) ◽  
pp. 1257-1262
Author(s):  
E.O. Toyinbo ◽  
R.A. Fasasi ◽  
C.F. Agbor ◽  
C.O. Fakorede
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Anthropogenic Activities ◽  
Management Tool ◽  
Primary Forest ◽  
Land Use Land Cover ◽  
Forest Reserve ◽  
Lulc Changes

Mankind’s existence and modification of the landscape have had a profound effect on the natural environment. Anthropogenic activities such as agriculture, mining, deforestation and construction have influenced the shifting patterns of land use. This has resulted in a significant effect on local weather and climate. The use of remote sensing data in recent times has been of immense help in monitoring the changing pattern of vegetation. Therefore this study utilized remote sensing and geographic information system (GIS) methods to identify factors responsible for land use land cover (LULC) changes in Oluwa Forest Reserve between 1984 and 2017. The result showed that Primary forest was reduced by about 5% between 1984 and 2000 and by about 12% between 2000 and 2017 and the non-forest got increased by about 4% and 2% from 1984 to 2000 and from 2000 to 2017 respectively. Future forecast shows that primary forest will decrease by about 3% while the non-forest will increase by 5% by 2034. The results also revealed that the changes in forest cover between 2000 and 2017 were actively influenced by the closeness of settlements to the forest. It is therefore recommended that the findings of this study should be adopted by relevant authorities as a useful forest management tool.

scholarly journals Remote Sensing Techniques in the Investigation of Polluted Soils at Illegal Dumpsites in Yenagoa Metropolis, Bayelsa State, Nigeria

2020 ◽  
pp. 141-146
Author(s):  
Jonathan Lisa Erebi ◽  
Eteh Desmond Rowland ◽  
Bisong Andy Etta
Keyword(s):  
Heavy Metals ◽  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Population Increase ◽  
Human Being ◽  
Land Use Land Cover ◽  
Polluted Soils ◽  
Bare Land ◽  
Remote Sensing Techniques

Remote Sensing Techniques in the evaluation of Polluted soils at illegal dumpsites in urban Soil environment and its effect on human being in Yenagoa metropolis, Bayelsa State compels us to investigate the presences of the following heavy metals, such as Fe, Mn, Cr, Cu, Zn, Ni, Cd, and Pb. The result reveals High-level of heavy metals accumulation at illegal dumpsites. Soil sample by leachate migration from the open dumpsite and all the illegal dumpsites found within the marketplace close to Epie Creek which serves as a significant source of household water and a tributary to River Nun. Our results also show that population increase in migration of human being from villages to the city in land use/land cover map built-up area contains 16.96 km2 with 4%, and bare land 20% in 1992 and 2020 land use/land cover built-up area contain 93.30 km2 with 23% and bare land is 35%. Therefore, the percentage from 1992 to 2020 in built-up area especially by 19% and bare land by 15% thereby water bodies and vegetation decreases. The area lacks environmental law for dumping disposals and the government needs to carry out landfill site suitability for solid waste disposal site using Remote sensing and GIS in other to reduce soil pollution by heavy metals in the area over time.

scholarly journals Land use land cover change in Kashmir Himalaya: Linking remote sensing with an indicator based DPSIR approach

2021 ◽  
Vol 125 ◽  
pp. 107447 ◽  
Author(s):  
Rehana Rasool ◽  
Abida Fayaz ◽  
Mifta ul Shafiq ◽  
Harmeet Singh ◽  
Pervez Ahmed
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Kashmir Himalaya ◽  
Dpsir Approach

scholarly journals Evaluation of the status of land use/land cover change using remote sensing and GIS in Jewha Watershed, Northeastern Ethiopia

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Dereje Gebrie Habte ◽  
Satishkumar Belliethathan ◽  
Tenalem Ayenew
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Catchment Area ◽  
Environmental Conservation ◽  
Land Use Land Cover ◽  
Cultivated Land ◽  
Plantation Forest ◽  
Bare Land

AbstractEvaluation of land use/land cover (LULC) status of watersheds is vital to environmental management. This study was carried out in Jewha watershed, which is found in the upper Awash River basin of central Ethiopia. The total catchment area is 502 km2. All climatic zones of Ethiopia, including lowland arid (‘Kola’), midland semi-arid (‘Woinadega’), humid highland (Dega) and afro alpine (‘Wurch’) can be found in the watershed. The study focused on LULC classification and change detection using GIS and remote sensing techniques by analyzing satellite images. The data preprocessing and post-process was done using multi-temporal spectral satellite data. The images were used to evaluate the temporal trends of the LULC class by considering the years 1984, 1995, 2005 and 2015. Accuracy assessment and change detection of the classification were undertaken by accounting these four years images. The land use types in the study area were categorized into six classes: natural forest, plantation forest, cultivated land, shrub land, grass land and bare land. The result shows the cover classes which has high environmental role such as forest and shrub has decreased dramatically through time with cultivated land increasing during the same period in the watershed. The forest cover in 1984 was about 6.5% of the total catchment area, and it had decreased to 4.2% in 2015. In contrast, cultivated land increased from 38.7% in 1984 to 51% in 2015. Shrub land decreased from 28 to 18% in the same period. Bare land increased due to high gully formation in the catchment. In 1984, it was 1.8% which turned to 0.6% in 1995 then increased in 2015 to 2.7%. Plantation forest was not detected in 1984. In 1995, it covers 1.5% which turned to be the same in 2015. The study clearly demonstrated that there are significant changes of land use and land cover in the catchment. The findings will allow making informed decision which will allow better land use management and environmental conservation interventions.

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