scholarly journals Multi-temporal Land Use Land Cover (LULC) change analysis of a dry semi-arid river basin in western India following a robust multi-sensor satellite image calibration strategy

Heliyon ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. e01478 ◽  
Author(s):  
Anjan Roy ◽  
Arun B. Inamdar
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Satellite Image ◽  
Western India ◽  
Land Use Land Cover ◽  
Change Analysis ◽  
Lulc Change ◽  
Multi Temporal ◽  
Semi Arid

scholarly journals Remote Sensing and GIS Application for Land use/ Land cover Change Analysis: Case Study of Jarmet Wet-Land and its Surrounding Environments in Western Ethiopia

2019 ◽  
Author(s):  
Amanuel Kumsa ◽  
Professor Sileshi Nemomissa ◽  
Asmamaw (PhD) Legas ◽  
Dessalegn Gurmessa
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Environmental Change ◽  
Land Cover Change ◽  
Natural Resource ◽  
Accuracy Assessment ◽  
Land Use Land Cover ◽  
Change Analysis ◽  
Lulc Change

Wetlands are one of the crucial natural resources. They provide invaluable biodiversity resources, aid in water quality improvement, support ground water recharge, help in moderating climate change and support flood control. Environment is in the other hand, where we live and something, we are very familiar with our day to day life. Geographic Information Systems (GIS), Remote Sensing and Global Positioning System (GPS) were a useful tool for wetland and environmental change analysis and to improve on the classification accuracy. This study investigates population and environmental change of Jarmet wetland and its surrounding area change analysis over the period of 1972 to 2015. The purpose of this study was to show land use/ land cover change of Jarmet wetland and its surrounding environment over years as a response to population growth. For this purpose, multi-temporal satellite imageries (Landsat MSS 1972, TM1986, ETM+ 2000, 2005 and 2015 and SRTM 2000) were obtained and used for LULC change analysis, elevation analysis and change detection analysis. ERDAS Imagine 2015, ARC GIS 10.5.1, Global Mapper11, ENVI 5.0 and DNR Garmin softwares were used to process the image data and accuracy assessment analysis. The result of LULC showed that there is spatial reduction in wetland, forest, Shrubland and grassland in the period of 43 years (1972-2015) by -1,722.8 ha, -296.2 ha, -1,718.7 ha and -661.9 ha respectively, due to increase in the farmland and plantation area as a response to overpopulation, lack of environmental policy implementation and irresponsible for natural resource degradation. The accuracy assessment of LULC change are done for recent satellite image showed the overall accuracy of 84.06% with Kappa index 75.19% this means this classification is accurately classified and handle greater than 75% of error. Finally, this study suggests that create strictly natural resource conservation law, stopping illegal expansion of farmland, educating society about the value of natural resource especially wetland and create a source of income for society rather than farming.

scholarly journals Assessing the Spatio-Temporal Pattern of Land Use and Land Cover Changes in Osun Drainage Basin, Nigeria

2019 ◽  
Vol 12 (1-2) ◽  
pp. 41-50 ◽  
Author(s):  
Eniola Damilola Ashaolu ◽  
Jacob Funso Olorunfemi ◽  
Ifatokun Paul Ifabiyi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Pattern ◽  
Forest Cover ◽  
Drainage Basin ◽  
Anthropogenic Activities ◽  
Satellite Image ◽  
Land Use Land Cover ◽  
Lulc Change ◽  
Spatio Temporal

Abstract Over the years, Osun drainage basin has witnessed tremendous increase in population, and urbanization that have changed the landscape of the area. This study evaluated the spatio-temporal pattern of land use/land cover change (LULC) in the study area, and made hydrological inferences. Landsat imageries were acquired from USGS-EROS satellite image database for the period 1984, 2000 and 2015, while the Digital Elevation Model (DEM) was obtained from Shuttle Radar Topography Mission (SRTM) of the National Aeronautics and Space Agency (NASA). Supervised image classification using the Maximum Likelihood Algorithm in Erdas Imagine was adopted to classified the land use/land cover of the study area into seven classes. Elevation, aspect and slope of the study area were processed from DEM using ArcGIS. Modules for Land Use Change Evaluation (MOLUSCE) plugin in QGIS was used to simulate the basin future LULC change, using change driving factors of population, elevation, aspect and slope of the study area. There was about 234% increase in built up areas and 89.22% in crop/shrubs between 1984 and 2015. The most significant decrease in LULC occurred in forest (58.75%) and wetland (84.69%) during this period. The predicted future LULC change suggests that only about 12% of the basin will remain under forest cover by the year 2046. The results underscored the increasing anthropogenic activities in the basin that influenced recharge rate, surface runoff, incidences of soil erosion, etc., in Osun drainage basin. The planting of the lost native trees was recommended for the sustainability of the basin’s ecosystem.

scholarly journals An Examination of Land Use and Land Cover Changes in Muvattupuzha River Basin using GIS

2019 ◽  
Vol 8 (3) ◽  
pp. 7957-7960
Keyword(s):  
Land Use ◽  
Land Cover ◽  
River Basin ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Human Beings ◽  
Land Utilization ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Main Factor

Land is the most important natural resources as far as human beings are concerned. The utilization of land is changing due to the emerging growth of population. The consequences due to change in land use not only affect human beings but at the same time affect the ecosystem also. The emerging effect of change of land use due to urbanization results in flooding and drought condition. This study has been carried out to understand the land use and land cover changes using GIS in a semi-arid region, Kerala, India. For this, the study area has been selected as Muvattupuzha River Basin. Land use land cover changes studies are very much important for planners as well as economists for better land utilization. It has been concluded from the study that built up area has increased during the study period from 110.9 km2 to 504.42 km2 , which indicates that urbanization is the main factor which causes the bi-variational changes of land and flood occurrence.

scholarly journals DISTRICT-WISE CHANGE ANALYSIS OF LAND USE-LAND COVER IN DELHI TERRITORY USING REMOTE SENSING & GIS

2017 ◽  
Vol 10 (2) ◽  
pp. 201-213
Author(s):  
Surya Prakash Pattanayak ◽  
Sumant Kumar Diwakar
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Remote Sensing Data ◽  
High Growth ◽  
Temporal Analysis ◽  
Land Use Land Cover ◽  
Change Analysis ◽  
Multi Temporal

Digital change detection is the process that helps in determining the changes associated with Land use and Land cover properties with reference to geo-referenced multi-temporal remote sensing data. It helps in identifying change between two or more dates that is uncharacterized of normal variation. This work is an attempt to assess the district-wise changes in land use/land cover in Delhi, India. The study made use of LISS -III imageries of 2008 and 2012 year. The images were classified using Maximum Likelihood classification method. The output can be useful in many applications such as Land use changes, habitat fragmentation, rate of deforestation, urban sprawl and other cumulative changes through spatial and temporal analysis. The study shows that Delhi land cover from 2008 to 2012 a major rapid changes in the landscape as there is high growth in the fallow and built up area. Agriculture land and forest area has reduced marginally and water body is showing almost stagnant condition over time.

scholarly journals Evaluating Changes in Land Use Land Cover using Remote Sensing Satellite Data and GIS (A Case Study in Patna Municipal Corporation Area) Patna, Bihar

2020 ◽  
pp. 346-353
Author(s):  
Mohammad Ahmad ◽  
Nikhat Hassan Munim
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Image ◽  
Land Use Land Cover ◽  
Rural And Urban ◽  
Multi Temporal ◽  
Color Composite ◽  
Irs P6 Liss Iv

Evaluation of land use land cover (LULC) change is an essential aspect of development in rural and urban sectors. This paper investigates the changes in LULC aspects of an environmentally vulnerable Patna Municipal Corporation (PMC) area in the middle-Ganga Plain, India. We offer Remote Sensing (RS), and Geographic Information System (GIS) techniques delineated LULC types include water bodies, agriculture land, fallow land, wasteland, built-up land and vegetation of the study area. LULC mapping of the study area was done through False Color Composite (FCC) Satellite image Resourcesat-1 (IRS P6 LISS-IV) and Resourcesat 2A (IRS-R2A LISS-IV) with 5.8-meter spatial resolution data of the year 2007 and 2018 respectively. The supervised classification and maximum likelihood equation were used to classified two multi-temporal images. Then temporal changes were detected by comparison between two LULC classified maps of 2007 and 2018, which was produced independently. Patna Municipal Corporation (PMC) area, Patna is one of the environmentally vulnerable areas under the threat of environmental and ecological degradation as a result of human activities due to improper land cover management. The main objective of using change detection is an important technique to detect changes in LULC over time in PMC, Patna between 2007-2018, and it is significant for updating land cover or natural resource management. The interpretation of this study has substantial changes in LULC occurred in the Patna Municipal Corporation (PMC) area, Patna within the period 2007-2018, related to urbanisation and economic development. The analysis outcome indicates the most remarkable changes occurred an increase in Built-up, (+) 21.86 % between 2007-2018, whereas the area of cropland and vegetation decreased (-) 8.95 % and (-) 5.8% respectively between 2007-2018. In the spatial distribution pattern, other changes have also occurred. This study will give the benefit in future action plans in land use and urban development and avoid LULC changes without proper planning. It will be most significant for the natural environment.

scholarly journals Effect of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in Northwest China

2016 ◽  
Author(s):  
Jing Yin ◽  
Fan He ◽  
YuJiu Xiong ◽  
GuoYu Qiu
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Cover ◽  
Transition Zone ◽  
Surface Runoff ◽  
Climate Changes ◽  
Northwest China ◽  
Land Use Land Cover ◽  
Lulc Change ◽  
Semi Arid

Abstract. Water resources, which are substantially affected by land use/land cover (LULC) and climate changes, are a key limiting factor for ecosystems in arid and semi-arid regions exhibiting high vulnerability. It is crucial to assess the impact of LULC and climate changes on water resources in these areas. However, conflicting results on the effect of the LULC and climate changes on runoff have been reported for relatively large basins, e.g., in the Jinghe River Basin (JRB), a typical large catchment (> 45000 km2) located in a semi-humid and arid transition zone on the central Loess Plateau, Northwest China. In this study, we focused on quantifying both the combined and isolated impacts of LULC and climate changes on surface runoff. It is hypothesized that under climatic warming and drying conditions, LULC change, which is primarily caused by intensive human activities, such as the conversion of cropland to forest and grassland program (CCFGP), will alter runoff markedly in the JRB. The Soil and Water Assessment Tool (SWAT) was adopted to perform simulations. The simulated results indicated that although runoff increased very little between the 1970s and the 2000s due to the combined effects of LULC and climate changes, LULC and climate changes affected surface runoff differently in each decade, i.e., runoff increased with elevated precipitation between the 1970s and the 1980s (precipitation contributed 88 % to the increased runoff). Thereafter, runoff decreased and became increasingly influenced by LULC change, with a 44 % contribution between the 1980s and the 1990s and a 71 % contribution between the 1990s and the 2000s. Our findings revealed that large-scale LULC under the CCFGP since the late 1990s has had an important effect on the hydrological cycle and that the conflicting findings on the effect of the LULC and climate changes on runoff in relatively large basins are likely caused by uncertainty in hydrological simulations.

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