scholarly journals Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan

2021 ◽  
Vol 13 (13) ◽  
pp. 2621
Author(s):  
Zhanzhuo Chen ◽  
Min Huang ◽  
Daoye Zhu ◽  
Orhan Altan
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Planning ◽  
Land Use Changes ◽  
Arable Land ◽  
Cultivated Land ◽  
Land Resources ◽  
Forest Protection ◽  
Land Protection ◽  
The Past

As the second largest island in Japan, Hokkaido provides precious land resources for the Japanese people. Meanwhile, as the food base of Japan, the gradual decrease of the agricultural population and more intensive agricultural practices on Hokkaido have led its arable land use to change year by year, which has also caused changes to the whole land use pattern of the entire island of Hokkaido. To realize the sustainable use of land resources in Hokkaido, past and future changes in land use patterns must be investigated, and target-based land use planning suggestions should be given on this basis. This study uses remote sensing and GIS technology to analyze the temporal and spatial changes of land use in Hokkaido during the past two decades. The types of land use include cultivated land, forest, waterbody, construction, grassland, and others, by using the satellite images of the Landsat images in 2000, 2010, and 2019 to achieve this goal to make classification. In addition, this study used the coupled Markov-FLUS model to simulate and analyze the land use changes in three different scenarios in Hokkaido in the next 20 years. Scenario-based situational analysis shows that the cultivated land in Hokkaido will drop by about 25% in 2040 under the natural development scenario (ND), while the cultivated land area in Hokkaido will remain basically unchanged in cultivated land protection scenario (CP). In forest protection scenario (FP), the area of forest in Hokkaido will increase by 1580.8 km2. It is believed that the findings reveal that the forest land in Hokkaido has been well protected in the past and will be protected well in the next 20 years. However, in land use planning for future, Hokkaido government and enterprises should pay more attention to the protection of cultivated land.

scholarly journals Geospatial assessment of land use and land cover dynamics in the mid-zone of Ghana

2020 ◽  
Vol 62 (4) ◽  
pp. 288-305
Author(s):  
Addo Koranteng ◽  
Isaac Adu-Poku ◽  
Emmanuel Donkor ◽  
Tomasz Zawiła-Niedźwiecki
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Forest Cover ◽  
Anthropogenic Activities ◽  
Arable Land ◽  
Rapid Urbanization ◽  
The Past ◽  
Open Forest

AbstractLand use and land cover (LULC) terrain in Ghana has undergone profound changes over the past years emanating mainly from anthropogenic activities, which have impacted countrywide and sub-regional environment. This study is a comprehensive analysis via integrated approach of geospatial procedures such as Remote Sensing (RS) and Geographic Information System (GIS) of past, present and future LULC from satellite imagery covering Ghana’s Ashanti regional capital (Kumasi) and surrounding districts. Multi-temporal satellite imagery data sets of four different years, 1990 (Landsat TM), 2000 (Landsat ETM+), 2010 (Alos and Disaster Monitoring Constellation-DMC) and 2020 (SENTINEL), spanning over a 30-year period were mapped. Five major LULC categories – Closed Forest, Open Forest, Agriculture, Built-up and Water – were delineated premised on the prevailing geographical settings, field study and remote sensing data. Markov Cellular Automata modelling was applied to predict the probable LULC change consequence for the next 20 years (2040). The study revealed that both Open Forest and Agriculture class categories decreased 51.98 to 38.82 and 27.48 to 20.11, respectively. Meanwhile, Built-up class increased from 4.8% to 24.8% (over 500% increment from 1990 to 2020). Rapid urbanization caused the depletion of forest cover and conversion of farmlands into human settlements. The 2040 forecast map showed an upward increment in the Built-up area up to 35.2% at the expense of other LULC class categories. This trend from the past to the forecasted future would demand that judicious LULC resolutions have to be made to keep Ghana’s forest cover, provide arable land for farming activities and alleviate the effects of climate change.

scholarly journals Relating the Land-Use Changes to the Invasion of Pneumatopteris afra in Nigeria Using Remote Sensing

2020 ◽  
Vol 28 (4) ◽  
Author(s):  
Gbenga Festus Akomolafe ◽  
Zakaria Rahmad
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Changes ◽  
Forest Products ◽  
Classification Systems ◽  
The Past ◽  
Classification Technique ◽  
Bare Land ◽  
Landsat Satellite ◽  
Broad Classification

The study aimed at using satellite remote sensing in identifying the land-use changes that have occurred in Lafia, Nigeria within the past 35 years, especially in relation to the current and the predicted future invasion of a fern (Pneumatopteris afra). Landsat satellite images OLI/TIRS, ETM+ and TM within the interval of 15 years from 1985 to 2020 were used for the extraction of land-use. Six broad classification systems were used to classify the land-use changes by employing a supervised classification technique. In 1985, the bare land dominated the land-use having an area of 69156 ha while the wetland was the least having an area of 3412 ha. However, in 2020, the built-up area has dominated the land-use of Lafia with an area of 144645 ha (52.21%) while the wetland still remained the least with area of 1477 ha. This is obviously due to the geometric increase in the urbanization of this city. There was a consistent loss of the forests from 1985 to 2020 with an annual rate of loss of 0.46%. This resulted in a loss of 44329 ha of forests in 2020 out of the 47643 ha in 1985. This approximately leads to a total loss of 172,732,045 USD of forest products. The current invasion of Pneumatopteris afra in Lafia was found to fall within the shrub and grasses land-use class. This indicates that the landsat satellite could not detect the wetlands where the plant dominated due to its massive covering. This study calls for immediate conservation of the remaining forests and wetlands in Lafia to prevent further encroachments and invasion by plants.

Land Use Planning and Sustainable Development

2021 ◽  
pp. 330-350
Author(s):  
Mohd Nazish Khan ◽  
Samreen Fatima
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Sustainable Development ◽  
Land Cover ◽  
Land Use Planning ◽  
Cost Effective ◽  
Land Resources ◽  
Gis Technology ◽  
Future Demands ◽  
Processing Techniques

This chapter explores the ability of remote sensing and GIS technology for the preparation of land use land cover plan in an effective manner. It is an established fact that remote sensing products are being widely used for land use and land cover products to facilitate their stakeholders to provide them cost effective and reproducible mechanism to extract meaningful information for the development of infrastructure in particular region at any scale. Remote sensing has produced different high resolution datasets that may be convert into fruitful products by using recently developed image processing techniques. India is vast country, having natural resources as land resources which needs reallocation as per future demands. Present legislation and regulation are hardly enough for sustainable development of land resources.

scholarly journals Evaluation of the Built-Up Area Dynamics in the First Ring of Cluj-Napoca Metropolitan Area, Romania by Semi-Automatic GIS Analysis of Landsat Satellite Images

2020 ◽  
Vol 10 (21) ◽  
pp. 7722
Author(s):  
Bogdan-Eugen Dolean ◽  
Ștefan Bilașco ◽  
Dănuț Petrea ◽  
Ciprian Moldovan ◽  
Iuliu Vescan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Real Estate ◽  
Vegetation Index ◽  
Spatial Databases ◽  
Land Use Changes ◽  
Arable Land ◽  
Complex Model ◽  
Landsat 8 ◽  
Rapid Mapping

The accentuated dynamics of the real estate markets of the last 20 years, determined that a large part of the territories in the immediate vicinity of the big urban centers, to change their category of land use, in an accelerated rhythm. Most of the time, the land use changes according to the market requirements, the predominantly agricultural lands being occupied by constructions with residential or industrial functions. Identifying these changes is a difficult task due to the heterogeneity of spatial databases that come from different real estate development projects, so determining and implementing new methods to track land changes are currently highly required. This paper presents a methodologically innovative index-based approach for the rapid mapping of built-up areas, using Landsat-5, Landsat-7, and Landsat-8 satellite imagery. The approach described in this study differs from other conventional methods by the way the analysis was performed and also by the thematic indices used in the processes of built-up area delineation. The method, structured in a complex model, based on Remote Sensing and GIS techniques, can be divided into three distinct phases. The first stage is related to the pre-processing of the remote sensing data. The second stage involves the calculation of the normalized difference vegetation index (NDVI), the modified normalized difference water index (MNDWI), and the bare soil index (BI) correlated with the extraction of all areas not covered by vegetation; respectively, the elimination from the result of all areas covered by water, bare land, or uncultivated arable land. The result of this stage is represented by a distinct thematic layer that contains only built-up areas and other associated territories. The last step of the model is represented by the validation of the results, which was performed based on statistical methods and also by direct comparison with field reality, obtaining a validation coefficient which is generally above 85% for any of the methods used. The validation process shows us that by applying this method, the fast mapping of the built-up areas is significantly enhanced and the model is suitable to be implemented on a larger scale in any practical and theoretical application that aims at the rapid mapping of the built-up areas and their evolutionary modeling.

scholarly journals Study on Land Use/Cover Change and Ecosystem Services in Harbin, China

2020 ◽  
Vol 12 (15) ◽  
pp. 6076
Author(s):  
Dao Riao ◽  
Xiaomeng Zhu ◽  
Zhijun Tong ◽  
Jiquan Zhang ◽  
Aoyang Wang
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Urban Areas ◽  
Land Use Changes ◽  
Arable Land ◽  
Social Economy ◽  
Land Resources ◽  
The Social ◽  
Coordination Degree

Land use/cover change (LUCC) and ecosystem service functions are current hot topics in global research on environmental change. A comprehensive analysis and understanding of the land use changes and ecosystem services, and the equilibrium state of the interaction between the natural environment and the social economy is crucial for the sustainable utilization of land resources. We used remote sensing image to research the LUCC, ecosystem service value (ESV), and ecological economic harmony (EEH) in eight main urban areas of Harbin in China from 1990 to 2015. The results show that, in the past 25 years, arable land—which is a part of ecological land—is the main source of construction land for urbanization, whereas the other ecological land is the main source of conversion to arable land. There is no significant change in the value ratio of ESV, however, it is also inclined to the southeast of the study area in spaces like the barycenter of LUCC. The EEH degree has risen from the potential crisis area to the medium coordination degree, and then dropped to the low coordination degree. This shows that although there has been limited change of LUCC, ESV, and EEH in eight main urban areas of Harbin in 25 years, there is a contradiction between the allocation of ecological land and non-ecological land.

scholarly journals The Use of Remote Sensing and GIS to Study Land Use Changes in Barka Wilaya, Oman

2019 ◽  
Vol 10 (1) ◽  
pp. 15
Author(s):  
Eyad H Fadda ◽  
Fatemah Al Shebli ◽  
Ayshah Al Kabi
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Land Degradation ◽  
Urban Areas ◽  
Land Use Changes ◽  
Arable Land ◽  
The Impact ◽  
Fertile Land

Many studies house indicated the increase of the proportion of urban areas over the arable land in many provinces of the Sultanate of Oman. This came as a result of urban growth and development processes taking place since the era of the Renaissance which started in 1970. Consequently, spatial variation in land use is an important issue to be taken into consideration, because lands are being converted to be less productive, due to the lack of raw soil, vegetation, and water as a result of human exploitation of the limited resources in different ways, in addition to the natural factors of droughts and floods and all that will eventually lead to land degradation. Barka province (wilayat) in al Batinah Governorate is one of the provinces, which has been affected by land cover/land use changes due to several reasons. Therefore, this study will focus on the determination of land use changes, whether commercial or residential that have been occurred in the province, in addition to the loss of agricultural areas and fertile land during the period from 1987 to 2015. Remote sensing and geographic information system (GIS) were utilized in order to delineate and to determine the cause of shrinking in the arable land and fertile land. Satellite images were used to detect the change in land use/land cover by applying selective digital image processing techniques such as supervised classification and change detection. Thematic maps were prepared using GIS software with attribute data about the land uses in the study area, which highlights and show the impact of urban growth on land degradation.

Study on the Relationship between Land Use Dynamics and Economic Development - Ecological Environmental in Chongqing

2012 ◽  
Vol 524-527 ◽  
pp. 2688-2693
Author(s):  
Yi Xiao ◽  
Ke Yin
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Land Use Changes ◽  
Arable Land ◽  
Added Value ◽  
Land Resources ◽  
Fixed Asset ◽  
Chongqing Municipality ◽  
Land Use Dynamics ◽  
The Relationship

This paper analyzes the past 10 years, Chongqing, land use changes, And on this basis, study on the relationship between land use dynamics and economic development - ecological environmental. The results show: (1)Between 1999-2008 Chongqing sharp decline in arable land, the area net decrease in 293679.7 hm2, significant increase of construction land, the area net increase 74334.1 hm2. (2)GDP, total fixed asset investment, industrial added value and the construction area was positively correlated, and arable land change was a negative correlation. Show that the economic and social development of Chongqing mainly depends on the development of land resources. (3)In addition, returning land for farming to forestry, construction of the wetland ecosystem, making the Chongqing Municipality, although the value of ecosystem services is rising, but the overall value is still lower.

scholarly journals Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Andong Guo ◽  
Yuqing Zhang ◽  
Qing Hao
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Land Use Changes ◽  
Arable Land ◽  
Current Status ◽  
The Past ◽  
Socioeconomic Data ◽  
The Impact ◽  
Conversion Rules ◽  
Better Than

Changes in land use/cover are among the most prominent impacts that humans have on the environment. Therefore, exploring land use/cover change is of great significance to urban planning and sustainable development. In this study, we preprocessed multiperiod land use and socioeconomic data, combined with spatial zoning, multilayer perception (MLP) artificial neural network, and Markov chain (MC), to construct a cellular automaton model of spatial zoning. Moreover, with the help of ArcGIS 10.2 and TerrSet 18.07 software, we explore the current status of land use and predict future changes. The results showed that drastic changes have occurred among different land use classes in Jinzhou District over the past 13 years owing to the impact of economic development and reclamation projects. Construction land, arable land, and waters have changed by +85.09, −24.42, and −23.62 km2, respectively. By comparing the FoM and Kappa coefficients, we concluded that the prediction accuracy of partitioned MLP-MC is better than that of unpartitioned MLP-MC. Therefore, using the spatial zoning approach to identify the conversion rules among land use classes in different zones can more effectively predict future land use changes and provide a reference for urban planning and policy making.

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