Assessment of Groundwater Vulnerability Using Lulc Map and DRASTIC Technique in Bahr AL-Najaf Area, Middle of Iraq

Groundwater is the greatest significant source of water in the Bahr Al-Najaf area. In this research the DRASTIC technique has been utilized, to produce a map of ground water vulnerability for the area. Because of the relation between LULC (Land Use and Land Cover) and groundwater pollution, the LULC map was applied with the standard DRASTIC technique to confirm accuracy of vulnerability for pollution. A LULC map is extracted from Enhanced Thematic Mapper (TM) satellite imagery utilizing several methods in GIS. The LULC map shows that three portions of LULC can be recognized (Agricultural land, Wet land and Barren land). The LULC map was weighted and rated then changed to LULC index map. That index map is a supplementary factor that was combined to the standard DRASTIC technique to modify DRASTIC vulnerability in study area. The final vulnerability was obtained by the DRASTIC technique that varies from (70 to 140). The LULC index map as a modified DRASTIC with ranging of (95-175). The modified LULC of DRASTIC technique has a higher correlation (Pearson’s factor) 0.87 per concentration of nitrate values and is suggested as the best suitable technique to be utilized for the area of study.

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Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽

10.3390/geosciences11080312 ◽

2021 ◽

Vol 11 (8) ◽

pp. 312

Author(s):

Barbara Wiatkowska ◽

Janusz Słodczyk ◽

Aleksandra Stokowska

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Satellite Imagery ◽

Urban Areas ◽

Agricultural Land ◽

Urban Expansion ◽

Landsat 8 ◽

Rate Of Increase ◽

Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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The Mapping of Land Use Using Object-Based Image Analysis (OBIA) in Klaten Regency

E3S Web of Conferences ◽

10.1051/e3sconf/202020206036 ◽

2020 ◽

Vol 202 ◽

pp. 06036

Author(s):

Nurhadi Bashit ◽

Novia Sari Ristianti ◽

Yudi Eko Windarto ◽

Desyta Ulfiana

Keyword(s):

Remote Sensing ◽

Land Use ◽

Image Analysis ◽

Satellite Imagery ◽

Agricultural Land ◽

Scale Parameter ◽

Land Use Classification ◽

Object Based Image Analysis ◽

Object Based ◽

Sentinel 2

Klaten Regency is one of the regencies in Central Java Province that has an increasing population every year. This can cause an increase in built-up land for human activities. The built-up land needs to be monitored so that the construction is in accordance with the regional development plan so that it does not cause problems such as the occurrence of critical land. Therefore, it is necessary to monitor land use regularly. One method for monitoring land use is the remote sensing method. The remote sensing method is much more efficient in mapping land use because without having to survey the field. The remote sensing method utilizes satellite imagery data that can be processed for land use classification. This study uses the sentinel 2 satellite image data with the Object-Based Image Analysis (OBIA) algorithm to obtain land use classification. Sentinel 2 satellite imagery is a medium resolution image category with a spatial resolution of 10 meters. The land use classification can be used to see the distribution of built-up land in Klaten Regency without having to conduct a field survey. The results of the study obtained a segmentation scale parameter value of 60 and a merge scale parameter value of 85. The classification results obtained by 5 types of land use with OBIA. Agricultural land use dominates with an area of 50% of the total area.

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Spatio-Temporal Variation Analysis of Landscape Pattern Response to Land Use Change from 1985 to 2015 in Xuzhou City, China

Sustainability ◽

10.3390/su10114287 ◽

2018 ◽

Vol 10 (11) ◽

pp. 4287 ◽

Cited By ~ 6

Author(s):

Yantao Xi ◽

Nguyen Thinh ◽

Cheng Li

Keyword(s):

Land Use ◽

Landscape Pattern ◽

Urban Areas ◽

Vegetation Index ◽

Agricultural Land ◽

Local Level ◽

Land Use Changes ◽

Landscape Patterns ◽

Rapid Urbanization ◽

Barren Land

Rapid urbanization has dramatically spurred economic development since the 1980s, especially in China, but has had negative impacts on natural resources since it is an irreversible process. Thus, timely monitoring and quantitative analysis of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential. This study aimed to inspect spatiotemporal characteristics of landscape pattern responses to land use changes in Xuzhou, China durfing the period of 1985–2015. In this context, we propose a new spectral index, called the Normalized Difference Enhanced Urban Index (NDEUI), which combines Nighttime light from the Defense Meteorological Satellite Program/Operational Linescan System with annual maximum Enhanced Vegetation Index to reduce the detection confusion between urban areas and barren land. The NDEUI-assisted random forests algorithm was implemented to obtain the land use/land cover maps of Xuzhou in 1985, 1995, 2005, and 2015, respectively. Four different periods (1985–1995, 1995–2005, 2005–2015, and 1985–2015) were chosen for the change analysis of land use and landscape patterns. The results indicate that the urban area has increased by about 30.65%, 10.54%, 68.77%, and 143.75% during the four periods at the main expense of agricultural land, respectively. The spatial trend maps revealed that continuous transition from other land use types into urban land has occurred in a dual-core development mode throughout the urbanization process. We quantified the patch complexity, aggregation, connectivity, and diversity of the landscape, employing a number of landscape metrics to represent the changes in landscape patterns at both the class and landscape levels. The results show that with respect to the four aspects of landscape patterns, there were considerable differences among the four years, mainly owing to the increasing dominance of urbanized land. Spatiotemporal variation in landscape patterns was examined based on 900 × 900 m sub-grids. Combined with the land use changes and spatiotemporal variations in landscape patterns, urban growth mainly occurred in a leapfrog mode along both sides of the roads during the period of 1985 to 1995, and then shifted into edge-expansion mode during the period of 1995 to 2005, and the edge-expansion and leapfrog modes coexisted in the period from 2005 to 2015. The high value spatiotemporal information generated using remote sensing and geographic information system in this study could assist urban planners and policymakers to better understand urban dynamics and evaluate their spatiotemporal and environmental impacts at the local level to enable sustainable urban planning in the future.

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Groundwater Vulnerability Mapping in Urbanized Hydrological System Using Modified Drastic Model and Sensitivity Analysis

Environmental and Engineering Geoscience ◽

10.2113/eeg-1967 ◽

2018 ◽

Vol 24 (3) ◽

pp. 293-304 ◽

Cited By ~ 1

Author(s):

Ismail Chenini ◽

Adel Zghibi ◽

Mohamed Haythem Msaddek ◽

Mahmoud Dlala

Keyword(s):

Land Use ◽

Vadose Zone ◽

Vulnerability Assessment ◽

Groundwater Vulnerability ◽

Vulnerability Index ◽

Drastic Model ◽

Groundwater Vulnerability Mapping ◽

Groundwater Vulnerability Assessment ◽

Modified Drastic ◽

The Impact

Abstract The groundwater vulnerability assessment is normally applied to rural watersheds. However, urbanization modifies the hydrogeological processes. A modified DRASTIC model was adopted to establish a groundwater vulnerability map in an urbanized watershed. The modified DRASTIC model incorporated a land-use map, and net recharge was calculated taking into account the specificity of the urban hydrogeological system. The application of the proposed approach to the Mannouba watershed demonstrates that the groundwater vulnerability indexes range from 80 to 165. The study's results shows that 30 percent of the Mannouba watershed area has a high vulnerability index, 45 percent of the area has a medium index, and 25 percent of the study area has a low vulnerability index. To specify the effect of each DRASTIC factor on the calculated vulnerability index, sensitivity analyses were performed. Land use, topography, and soil media have an important theoretical weight greater than the effective weight. The impact of the vadose zone factor has the most important effective weight and affects the vulnerability index. The sensitivity assessment explored the variation in vulnerability after thematic layer removal. In this analysis, the removal of hydraulic conductivity and impact of vadose zone modified the vulnerability index. Groundwater vulnerability assessment in urbanized watersheds is difficult and has to consider the impact of urbanization in the hydrogeological parameters.

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Comparatives Study of Soil Organic Carbon (SOC) under Forest, Cultivated and Barren Land: A Case of Chovar Village, Kathmandu

Nepal Journal of Science and Technology ◽

10.3126/njst.v14i2.10422 ◽

2014 ◽

Vol 14 (2) ◽

pp. 103-108 ◽

Cited By ~ 5

Author(s):

S Bhandari ◽

S Bam

Keyword(s):

Land Use ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Forest Soil ◽

Agricultural Land ◽

Soil Depth ◽

Barren Land ◽

C Stocks ◽

Soc Stock ◽

Land Use And Management

The study was carried out in Chovar village of Kritipur Municipality, Kathmandu to compare the soil organic carbon (SOC) of three main land use types namely forest, agricultural and barren land and to show how land use and management are among the most important determinants of SOC stock. Stratified random sampling method was used for collecting soil samples. Walkley and Black method was applied for measuring SOC. Land use and soil depth both affected SOC stock significantly. Forest soil had higher SOC stock (98 t ha-1) as compared to agricultural land with 36.6 t ha-1 and barren land with 83.6 t ha-1. Similarly, the SOC in terms of CO22-1, 79.27 to 22.02 CO2-e ha-1 and 121.11 to 80.74 CO2-1 for 0- 20 cm to 40-60 cm soil depth, respectively. Bulk density (BD) was found less in forest soil compared to other lands at all depths, which showed negative correlation with SOC. The study showed a dire need to increase current soil C stocks which can be achieved through improvements in land use and management practices, particularly through conservation and restoration of degraded forests and soils. DOI: http://dx.doi.org/10.3126/njst.v14i2.10422 Nepal Journal of Science and Technology Vol. 14, No. 2 (2013) 103-108

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Land Use/Land Cover Change Detection using Geoinformatics in Gurugram District, Haryana, India

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b3388.078219 ◽

2019 ◽

Vol 8 (2) ◽

pp. 3753-3755

Keyword(s):

Land Use ◽

Change Detection ◽

Agricultural Land ◽

Water Bodies ◽

Time Range ◽

Barren Land ◽

Irs P6 ◽

Significant Extension ◽

Liss Iii ◽

Irs P6 Liss Iv

The district Gurugram in the state Haryana has seen significant extension & development during the last few years. In this paper, the change in land-use/cover has been estimated with time range of 2007 - 2017 and the change detection was quantified. The land-use/cover data generated through satellite imagery has been classified into five major classes i.e., (i) Built-up land (ii) Water Bodies (iii) Barren Land (iv) Agricultural Land (v) Vegetation. The investigation was helped out through Geoinformatics approach by using IRS-P6- LISS-III sensor of 2007 and IRS-P6-LISS-IV sensor of 2017. Observing of land-use/spread mirrored that changes were more noteworthy in degree over the time range of 10 years in the land under various classes. The most sensational changes are the increase in built-up land and barren land. Apart from this decrease in agricultural, water bodies and vegetation cover area also. Results demonstrates an expansive change in the territory of various land use classifications amid the period from 2007 to 2017.The agriculture land covering an area of about 55.27% in 2007 reduced to 43.42% in 2017. The built up area increased from 15.97 % in 2007 to 30.23 in 2017. The barren land area increased from 6.45 % in 2007 to 16.97 in 2017 The Water bodies decreased from 4.65 % in 2007 to 1.05 % in 2017. The vegetation area has also decreased from 17.66 % in 2007 to 8.33 % in 2017. Urban extension and various anthropogenic exercises have brought genuine misfortunes of agricultural land, vegetation and water bodies.

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Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework

Remote Sensing ◽

10.3390/rs13163337 ◽

2021 ◽

Vol 13 (16) ◽

pp. 3337

Author(s):

Shaker Ul Din ◽

Hugo Wai Leung Mak

Keyword(s):

Land Use ◽

Support Vector Machine ◽

Land Cover ◽

Land Cover Change ◽

Agricultural Land ◽

Urban Expansion ◽

Support Vector ◽

Land Use Land Cover ◽

Landsat Images ◽

Barren Land

Land-use/land cover change (LUCC) is an important problem in developing and under-developing countries with regard to global climatic changes and urban morphological distribution. Since the 1900s, urbanization has become an underlying cause of LUCC, and more than 55% of the world’s population resides in cities. The speedy growth, development and expansion of urban centers, rapid inhabitant’s growth, land insufficiency, the necessity for more manufacture, advancement of technologies remain among the several drivers of LUCC around the globe at present. In this study, the urban expansion or sprawl, together with spatial dynamics of Hyderabad, Pakistan over the last four decades were investigated and reviewed, based on remotely sensed Landsat images from 1979 to 2020. In particular, radiometric and atmospheric corrections were applied to these raw images, then the Gaussian-based Radial Basis Function (RBF) kernel was used for training, within the 10-fold support vector machine (SVM) supervised classification framework. After spatial LUCC maps were retrieved, different metrics like Producer’s Accuracy (PA), User’s Accuracy (UA) and KAPPA coefficient (KC) were adopted for spatial accuracy assessment to ensure the reliability of the proposed satellite-based retrieval mechanism. Landsat-derived results showed that there was an increase in the amount of built-up area and a decrease in vegetation and agricultural lands. Built-up area in 1979 only covered 30.69% of the total area, while it has increased and reached 65.04% after four decades. In contrast, continuous reduction of agricultural land, vegetation, waterbody, and barren land was observed. Overall, throughout the four-decade period, the portions of agricultural land, vegetation, waterbody, and barren land have decreased by 13.74%, 46.41%, 49.64% and 85.27%, respectively. These remotely observed changes highlight and symbolize the spatial characteristics of “rural to urban transition” and socioeconomic development within a modernized city, Hyderabad, which open new windows for detecting potential land-use changes and laying down feasible future urban development and planning strategies.

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Land use Change In Khageri Watershed, Chitwan

The Third Pole Journal of Geography Education ◽

10.3126/ttp.v8i0.11512 ◽

2014 ◽

pp. 51-56 ◽

Cited By ~ 1

Author(s):

Keshav Raj Dhakal

Keyword(s):

Land Use ◽

Agricultural Land ◽

Land Use Pattern ◽

Remarkable Change ◽

Grazing Land ◽

Barren Land ◽

Sandy Area ◽

The Third ◽

Development Region ◽

And Migration

This paper is an attempt to analyze land use pattern and its changes between 1978/79 and 1999 in Khageri watershed located in Central Development Region, Nepal. This watershed has mainly been covered with forest followed by agricultural land. The proportion of other land use categories like grazing land, sandy area, and barren land and water bodies is limited. The pattern of land use has been changing in this area. Resettlement program after eradication of malaria and migration of population from other parts of the country are the main causes of this change. The resettlement in the watershed of population from Padampur VDC further accelerated the change. The most remarkable change was from forest to agricultural land. The sandy area has also been increased due to lateral cutting and floods of the Khageri River and deforestation.DOI: http://dx.doi.org/10.3126/ttp.v8i0.11512 The Third Pole: Journal of Geography Vol.8-10, pp. 51-56: 2010

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Influence of land use change on the waterbird community of Sihwa Lake, Republic of Korea

Avian Research ◽

10.1186/s40657-020-00221-w ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Eunjae Lee ◽

Junghee Sagong ◽

Yohan Lee

Keyword(s):

Land Use ◽

Species Diversity ◽

Species Composition ◽

Agricultural Land ◽

Diversity Index ◽

Republic Of Korea ◽

Species Diversity Index ◽

Barren Land ◽

Waterbird Species ◽

Increasing Trends

Abstract Background Land use and development alter mudflat and wetland habitat availability, although mudflats and wetlands provide important stopover habitats for shorebirds during the spring and autumn migrations and support communities of ducks and geese during the winter months in the Republic of Korea. This study investigated land use changes around Sihwa Lake (Republic of Korea) and evaluated the effect of these changes on waterbird community characteristics. Methods We conducted a land-use-change analysis at the medium-resolution level using land cover maps for 2001, 2007, 2009, and 2014. Also, a tidal stream survey was conducted in Sihwa Lake and the surrounding reclaimed mudflats every season for 10 years (2003–2012) to identify the seasonal and interannual variations in waterbird species composition. To determine the total annual waterbird species and population counts, species diversity index, and interspecies variations, a TRIM (trends and indices for monitoring data) analysis was used. Results Wetland area decreased more than 10% while agricultural land, barren land, and grassland area increased more than 10% due to continuous reclamation activities around Sihwa Lake. Barren land later turned into agricultural land or other land use. Sixty-three species and 566,623 individuals were recorded. The number of species, population size, and species diversity index by year and by species showed decreasing trends that were more marked in spring and summer. Furthermore, seasonal and annual variations in waterbird species composition showed decreasing trends in dabbling ducks, herons, grebes, and shorebirds but diving ducks displayed increasing trends. In particular, shorebirds were reduced to a greater extent than other waterbird species because of the reduction and simplification of the intertidal zone, and shallow waters caused by reclamation and road construction. Conclusions Increased development and construction around Sihwa Lake has altered migratory shorebird populations with a general decline in species diversity and population size. The greatest decline was observed in wading birds, while diving duck populations showed increasing trends.

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Local Perception of Drivers of Land-Use and Land-Cover Change Dynamics across Dedza District, Central Malawi Region

Sustainability ◽

10.3390/su11030832 ◽

2019 ◽

Vol 11 (3) ◽

pp. 832 ◽

Cited By ~ 9

Author(s):

Maggie G. Munthali ◽

Nerhene Davis ◽

Abiodun M. Adeola ◽

Joel O. Botai ◽

Jonathan M. Kamwi ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Land Management ◽

Agricultural Land ◽

Management Strategies ◽

Rural Livelihoods ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Barren Land ◽

Lulc Changes

Research on Land Use and Land Cover (LULC) dynamics, and an understanding of the drivers responsible for these changes, are very crucial for modelling future LULC changes and the formulation of sustainable and robust land-management strategies and policy decisions. This study adopted a mixed method consisting of remote sensing and Geographic Information System (GIS)-based analysis, focus-group discussions, key informant interviews, and semi-structured interviews covering 586 households to assess LULC dynamics and associated LULC change drivers across the Dedza district, a central region of Malawi. GIS-based analysis of remotely sensed data revealed that barren land and built-up areas extensively increased at the expense of agricultural and forest land between 1991 and 2015. Analysis of the household-survey results revealed that the perceptions of respondents tended to validate the observed patterns during the remotely sensed data-analysis phase of the research, with 57.3% (n = 586) of the respondents reporting a decline in agricultural land use, and 87.4% (n = 586) observing a decline in forest areas in the district. Furthermore, firewood collection, charcoal production, population growth, and poverty were identified as the key drivers of these observed LULC changes in the study area. Undoubtedly, education has emerged as a significant factor influencing respondents’ perceptions of these drivers of LULC changes. However, unsustainable LULC changes observed in this study have negative implications on rural livelihoods and natural-resource management. Owing to the critical role that LULC dynamics play to rural livelihoods and the ecosystem, this study recommends further research to establish the consequences of these changes. The present study and future research will support decision makers and planners in the design of tenable and coherent land-management strategies.

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