Analysis Of Land Use Change Research Articles

Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin

Exploring the dynamics of land resource distribution within major river basins is pivotal for informing ecological conservation efforts and fostering sustainable development. The Yellow River Basin is a crucial region for human activities and economic development in China. This study meticulously examines the evolution of land use patterns across the seven principal urban agglomerations within the Yellow River Basin from 1990 to 2020. Employing the Multiscale Geographically Weighted Regression (MGWR) model, the research rigorously scrutinizes the multi-scale spatial heterogeneity of cultivated land dynamics within urban agglomerations during the years 2010 and 2020. The results show pronounced disparities in land utilization among urban agglomerations, with upstream areas predominantly characterized by grass and downstream regions dominated by cultivated land. Noteworthy is the significant expansion of construction land, particularly manifesting dynamic shifts over time. Furthermore, the driving mechanisms exhibit discernible scale variations, with evident spatial heterogeneity in their impact on cultivated land changes.

鄂尔多斯土地利用变化及驱动力分析

鄂尔多斯土地利用变化及驱动力分析

A Spatio-Temporal Groundwater Fluoride Contamination Assessment to Infer the Hydro-geochemical Analysis of Punjab Satluj Floodplain

Punjab Satluj Floodplain is a Hydro-geologically, ecologically, and economically very precious resource-rich landscape. This area is fragile due to flood risk; since its inception, it has attracted lots of economic and sociocultural activities that adversely affect hydro-geochemical conditions. Spatial and statistical analysis of land use and land cover change reveals that from 1975 to 2011, this landscape experienced 56.55 % land use and land cover transformation. Maximum transformation is noticed in the agricultural and built-up areas. In 1975, agricultural and built-up areas covered 47057.11 hectares (45.13 %) and 469.5 hectares (0.45 %), respectively, of the Punjab Satluj floodplain, which was expanded and covered 91011.36 hectares (87.28 %) and 6495.7 hectares (6.24 %) respectively in 2011. Adversities of these values can be estimated from the groundwater contamination analysis that reveals the specific electrical conductance (EC), nitrate (NO3), potassium (K), calcium (Ca), magnesium (Mg), sodium (Na), and fluoride (F) contamination in the water exceed its permissible consumption limits and effects ecological health. The present research work is the epigram of the hydrogeochemical condition of the Punjab Satluj floodplain concerning the spatial distribution of fluoride contamination and its proximate causes.

Impact Analysis of Land Use Changes on Inundation Map In The Ciliwung River Watershed

Impact Analysis of Land Use Changes on Inundation Map In The Ciliwung River Watershed

Landslide Susceptibility Analysis of Jugal Rural Municipality, Sindhupalchok

Hilly and mountainous areas of Nepal, with challenging terrain, young geology, and heavy monsoon rainfall, are susceptible to landslides and slope instability. To analyze and prepare landslide susceptibility maps, this study selects a typical hilly area, the Jugal Rural Municipality in Sindhupalchok district. Twelve factors contributing to landslides were considered, including slope, aspect, elevation, geology, land use, proximity to roads and drainage, plan curvature, profile curvature, NDVI (Normalized Difference Vegetation Index), soil type and rainfall. Moreover, 286 landslides were identified using high-resolution satellite imagery and field verification as the landslide inventory. These landslides were then randomly divided into two sets: 70% for training and 30\% for validation. Bivariate statistical analysis was performed using factor maps and the landslide inventory map. Notably, the analysis revealed a Prediction Rate (PR) of 9.35 for 'Land use', the highest among all factors considered. Since land use is a dynamic factor, we recommend conducting an analysis of land use changes and their impact on landslide susceptibility. Such an assessment would be invaluable during the planning and execution phases of development projects in Nepal's disaster-prone regions.

Analysis of land use change using remote sensing and GIS techniques in the Cazaderos forest, Loja province, Southern Ecuador

The predominant aim of the current study has been to determine land use change over a period of eight years in the Cazaderos dry forest in the province of Loja in Ecuador using remote sensing and GIS techniques. The methodology employed included the application of supervised classification of multispectral satellite imag-es applied to freely available Landsat 8 images using Catalyst image processing software and the application of the Object Analysis technique, which is presented as the methodological protocol in remote sensing that offers the highest level of accuracy. This process was accompanied by complementary Geographical Infor-mation System (GIS) techniques that allowed spatialization and quantification of the resulting information. The Cazaderos dry forest in the period of analysis has suffered a significant spatial fragmentation dominated by the current presence of bare soils that were previously covered by dense shrubs and have undergone a process of deforestation. During the period 2013 - 2021 the deforestation process extended to an area of 1273.95 ha corresponding to 15.21% of the total surface of the study area while reforestation reached 1426.86 ha corresponding to 17.04% of the total surface.

Coupling analysis of land use change with landscape ecological risk in China: A multi-scenario simulation perspective

The continuous change of global land use and intense human activities lead to the constant change of landscape ecological risk (LER). The increase of LER will pose a serious threat to human welfare and sustainable development. In previous studies, there were few studies on coupling coordination between land use intensity (LUI) and LER in multi-scenario simulation. Therefore, it is of a certain significance to study the coupling and coordination relationship between LUI and LER in a long-term multi-scenario simulation in the future for the sustainable use of land resources and the management of ecological risk. Based on the multi-scenario land use simulation data of China in 2010, 2050, and 2100, this study selects the comprehensive index of land use intensity, landscape pattern index, spatial autocorrelation, and coupling coordination methods to analyze the spatio-temporal characteristics of LUI and LER from 2010 to 2100, as well as the coupling coordination relationship between them. The results show that the overall LUI of China remains stable at around 200 from 2010 to 2100, with a spatial distribution that is “low in the northwest and high in the southeast.” The LUI of China decreases under the balanced resources scenario and global environmental protection scenario, while the regional economic development scenario and regional environmental protection scenario exhibit an increasing trend. The overall LER in China is approximately 0.150, with a spatial distribution that is “high in the north and low in the south.” The four scenarios exhibit a downward trend from 2010 to 2100. There is significant spatial dependence between LUI and LER in China, with the largest number of counties exhibiting reluctant coordination between the two (accounting for nearly 45%), while their interaction and mutual influence remain strong. Thus, this study may contribute to understanding this relationship and to creating effective landscape ecological risk management policies.

Simulation and Analysis of Land Use Change in Jianghuai Hilly Area Based on PLUS Model

Simulation and Analysis of Land Use Change in Jianghuai Hilly Area Based on PLUS Model

Analiza zmian użytkowania gruntów na podstawie map katastru austriackiego: Studium przypadku pisarzowa, województwo małopolskie, Polska

Aim of the study: The purpose of this work is to analyze the changes in land use that have occurred in a selected area from 1846 to 2022. The analysis was conducted on the basis of Austrian cadastral maps and the current cadastral map. Material and methods: A historical analysis of land use changes was conducted in the area of the village of Pisarzowa, located in the Lesser Poland Voivodeship, Limanowa County, Limanowa commune. For the analysis, scans of Austrian cadastral maps from 1846 obtained from the National Archives in Kraków were used. As comparative data, a digital cadastral map obtained from the Limanowa County Office of Geodetic and Cartographic Documentation was used. Spatial analyses were conducted using the geoprocessing tools of the QGIS program. Results and conclusions: The analysis resulted in a comparison of the areas of the individual land uses in 1846 and 2022. The observed land use changes confirm the increase in the area of built-up and urbanized land, as well as the increase in the area of forest and wooded and shrubland land at the expense of the area of agricultural land. A map of areas in Pisarzowa was created, where changes in land use have occurred over the years. Over a period of 176 years, more than half of the land in the analyzed area remained in its original form of use.

Pluriverse in science: Discourses of Amazonian land-use change and socio-environmental (in)justice

In the Brazilian Amazon region, social, economic, and political changing structures have increased the pressure on land, generating inequalities for the region's most vulnerable residents. Simultaneously, scientific knowledge production has increased and documented the region's different realities. This document presents a scientific discourse analysis of land-use change in the Amazonian region and its interaction with socio-environmental (in)justice, considering the pluriversal perspective. We respond to the main questions: Do hierarchies in scientific knowledge production contribute to silencing subaltern voices and hiding a pluriverse approach when writing about Amazonia land issues? And if so, how? A systematic literature review was conducted using the scientific dissemination platforms Scielo, Scopus, and WoS. The results show a disproportionate representation of some stakeholders, and some states are used as near-total representatives for the Amazonia region. Furthermore, consideration of pluriversal perspectives in the articles does not guarantee high sensibility for heterogeneity of local contexts or for making subaltern voices heard.

Analysis of land use and land cover change using machine learning algorithm in Yola North Local Government Area of Adamawa State, Nigeria.

The dynamic use of land that results from urbanization has an impact on the urban ecosystem. Yola North Local Government Area (Yola North LGA) of Adamawa state, Nigeria, has experienced tremendous changes in its land use and land cover (LULC) over the past two decades due to the influx of people from rural areas seeking for the benefits of its economic activities. The goal of this research is to develop an efficient and accurate framework for continuous monitoring of land use and land cover (LULC) change and quantify the transformation in land use and land cover pattern over a specific period (between 2002 and 2022). Land sat images of 2002, 2012, and 2022 were obtained, and the Support Vector Machine classification method was utilized to stratify the images. Land Change Modeler (LCM) tool in Idrissi Selva software was then used to analyze the LULC change. SVM produced a good classification result for all three years, with 2022 having the highest overall accuracy of 95.5%, followed by 2002 with 90% and 2012 with 87.7% which indicates the validity of the algorithm for future predictions. The results showed that severe land changes have occurred over the course of two decades in built-up (37.32%), vegetation (forest, scrubland, and grassland) (-3.27%), bare surface (-33.47%), and water bodies (-0.59%). Such changes in LULC could lead to agricultural land lost and reduced food supply. This research develops a robust framework for continuous land use monitoring, utilizing machine learning and geo-spatial data for urban planning, natural resource management, and environmental conservation. In conclusion, this study underscores the efficacy of support vector machine algorithm in analyzing complex land use and land cover changes.

Land use changes and residential area expansion in South Tangerang City, Indonesia

PurposeThe purpose of the study is to analyze changes in land use, specifically residential area expansion, in South Tangerang City and identify the factors that influence land use change.Design/methodology/approachThe study used remote sensing methods in ArcGIS 10.8 for data analysis and processing, including spatial analysis and identification of land use changes. The study analyzed satellite images from 2010 and 2020 to identify changes in land use in South Tangerang City over the ten-year period.FindingsThe study found that the most significant land use changes in South Tangerang City between 2010 and 2020 were the reduction of mixed plantation area and the expansion of residential areas. The study identified the development of small townships by private developers as the main factor that influenced land use change in South Tangerang City.Research limitations/implicationsThe study has several limitations, including a focus on only one aspect of land use change (i.e. residential area expansion), limited scope of the study area (South Tangerang City) and a reliance on remote sensing methods for data analysis.Practical implicationsThe findings of the study can be used by policymakers and city planners to develop sustainable land use planning strategies that balance the need for urban development with environmental and social concerns. By understanding the factors that drive land use changes in South Tangerang City, policymakers can develop policies that encourage sustainable urban growth and development while preserving natural resources and protecting the environment.Social implicationsThe study has social implications as the expansion of residential areas in South Tangerang City indicates a growing demand for housing in the area. The study highlights the importance of developing affordable and sustainable housing solutions to meet the needs of the growing population in South Tangerang City. Additionally, the study emphasizes the importance of understanding the social and economic factors that drive land use change and their implications for the well-being of local communities.Originality/valueThe residential area development in South Tangerang City is driven by private developers who make small independent cities that have all facilities in one area. These small cities attract people to reside and also drive high population growth in South Tangerang City, considering it is a buffer city of Jakarta that has good infrastructure development.

Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks

Predicting the future landscape of Dhanbad District: an analysis of land-use change and urban sprawl through cloud computing and neural networks

High-resolution mapping of land use changes in Norwegian hydropower systems

The Transition towards sustainable energy systems requires phasing out fossil fuels. Hydropower is a key source of renewable energy and can contribute to reaching a 100 % low carbon-based energy system. Uncertainty remains about land cover changes due to hydropower deployment with a widespread perception of major losses in the land from inundation and associated habitat loss in the surrounding areas due to improved access and recreational use. Norway has a dominant share of hydropower generation in Europe with knowledge gaps in the associated land cover changes. We conducted one of the first retrospective analyses of land use change associated with hydropower development in Norway during the last 80 years. Using remote sensing data, we performed object-based analysis on sets of aerial images representing land systems before and after hydropower construction. We quantified the change in the land due to development of 40 hydropower schemes representing 24 % of the total Norwegian installed capacity. Our analysis revealed that 88 % of analyzed reservoirs were developed by regulating or expanding natural lakes. Vegetation growth was observed in the surrounding regions of 22 of 40 schemes, while urbanization was limited to only 0.9 % of the total surrounding area, primarily located within 400 m from reservoir's borders. Our findings provide insights into interaction between land use change and hydropower development in Norway. Our work provides a basis for further assessment of relevant environmental impacts and can be used to quantify expected land changes due to an increase in Norway's hydropower with integration into the European energy market.

Analysis of Land Use Change on Environmental Degradation: A Literature Review in Urban Areas

This research presents a literature review on the analysis of land use change in urban areas and its impact on environmental degradation. Rapid and uncontrolled land use change in urban areas has resulted in the conversion of green land into residential, commercial, and industrial zones, with impacts such as urban heat island, air and water pollution, and loss of natural habitats. This research used a descriptive qualitative approach. The type of research used was a literature study. The results of this study show that it is important to have an in-depth understanding of land use change trends, their impacts on the environment, and their implications for urban sustainability. The results highlight the need for wise regional planning, sustainable natural resource management, and policies that consider environmental aspects to address the challenges of environmental degradation in urban areas.

ANALISIS PERUBAHAN PENGGUNAAN LAHAN DI DAS BATANG TABIR KABUPATEN MERANGIN, PROVINSI JAMBI (Land Use Change Analysis in Batang Tabir Watershed Merangin Regency, Jambi Province)

A continuous land use change in a watershed will affect the hydrological characteristics of the watershed. The Batang Tabir watershed has experienced a decrease in its carrying capacity shown by an increase in the frequency of flooding and the area of flood inundation. This study analyzes the land use changes in the Batang Tabir watershed, Merangin Regency, Jambi Province. The data used are DEM, topographic maps, river network maps, and Landsat imagery. Analysis of land use change used the Maximum Likelihood Classification (MLC) and the accuracy of image interpretation was carried out through the Kappa accuracy test. The land use prediction using the ANN model. The results showed that the rate of land use change increased in secondary forests, built-up areas, agriculture, and open areas; primary forests, paddy fields, and shrubs continued to decline. It is predicted in the year 2030, the trend will be the same; the built-up areas, agriculture, and secondary forests will increase, while primary forests, paddy fields, shrubs, and open areas will decrease.

Temporal Analysis of Land Use and Land Cover Changes in Vizianagaram District, Andhra Pradesh, India using Remote Sensing and GIS Techniques

Land use and land cover change (LULCC) has become a significant global concern due to its wide-ranging environmental, social and economic impacts. This literature review aims to provide a comprehensive overview of the key ideas, drivers, consequences and approaches to studying LULCC. By synthesizing various research articles, this review offers insights into the causes and impacts of LULCC, as well as the methods used to analyze and monitor these changes. The review also highlights the importance of understanding LULCC dynamics for sustainable land management and policy making. Between 2017 and 2022, the LULC categories underwent several changes. Data acquisition process for satellite imagery combining Sentinel-2 digital remote sensing data digital remote sensing data through the Copernicus Open Access Hub. The spectral resolution is 10, 20, and 30 meters respectively, while the spatial resolution is 10 meters which was used for the LULC analysis of the study area. This analysis underscores the importance of LULCC monitoring to inform sustainable land management practices and conservation efforts. The trends identified provide a basis for further investigation into the underlying drivers of these changes and their potential impacts on ecosystems, water resources and human well-being. Continued monitoring and proactive measures are essential to mitigate adverse impacts and promote sustainable land use in the future.

Analysis and Forecast of Land Use and Carbon Sink Changes in Jilin Province, China

Based on the land use data changes in Jilin Province in 2011, 2014, 2017, and 2020, this paper analyzes the land use changes during 2011–2020 through the land use transfer matrix, calculates the changes in carbon sinks of recent years, and then uses the CA–Markov model to predict the land use types and carbon sinks in Jilin Province in 2030 and discusses the driving factors. The results show that cultivated land and forest land are the two major land use types in Jilin Province, and the area of cultivated land, water bodies, and artificial ground in the province increased from 2011 to 2020; the increased area of artificial ground was mainly converted from cultivated land, accounting for 70.34% of the total converted area. The area of forest land is mainly converted along with the area of cultivated land, and grassland is mainly converted to arable areas, accounting for 84.96% of the total converted area. Water bodies and wasteland are mainly converted to cropland and artificial ground, and the area of artificial ground undergoing transfer is smaller. The change in carbon sinks mainly comes from woodland carbon sinks and grassland carbon sinks. In 2030, compared with 2020, the area of woodland, grassland, and wasteland and the corresponding carbon sink is predicted to decrease, among which the area and carbon sink of woodland decrease the most. The factors for land use type change include the slope factor, road factor, township center, and socio-economic drivers.

Analysis of land use change and its driving forces in Nanjing metropolitan area

As the earliest inter-provincial metropolitan area started to be built in China, the Nanjing metropolitan area has become an important issue worthy of study in this region after 20 years of development. In order to quantify the characteristics of land use change and its driving factors, ArcGIS was used to calculate the land use transfer matrix and analyze the land use change in Nanjing metropolitan area for two time periods from 2000 to 2010 and 2010 to 2020, and the driving factors of land use change in the study area were explored by the method of principal component analysis. The results show that the Nanjing metropolitan area is dominated by arable land, forest land and water bodies, which account for more than 80% of the total area; the area of arable land decreases significantly and the area of construction land continues to increase during the study period, and the area of arable land transformed into construction land is the most numerous among the land use change types. The increase in population, socio-economic development and changes in climatic factors are the main driving factors for land use type conversion in the Nanjing metropolitan area. This study provides a theoretical basis for the sustainable and high-quality development of land resources and the coordinated development of human-land relations in the Nanjing metropolitan area.

Land-Use Change and Driving Force Analysis of Wetland in Poyang Lake Based on Remote Sensing

Land-Use Change and Driving Force Analysis of Wetland in Poyang Lake Based on Remote Sensing