Integrating Remote Sensing Techniques, Geographical Information Systems (GIS), and Stochastic Models for Monitoring Land Use and Land Cover (LULC) Changes in the Northern Coastal Region of Nayarit, Mexico

The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.

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Evaluating Land Use and Land Cover Change in the Gaborone Dam Catchment, Botswana, from 1984–2015 Using GIS and Remote Sensing

Sustainability ◽

10.3390/su11195174 ◽

2019 ◽

Vol 11 (19) ◽

pp. 5174 ◽

Cited By ~ 7

Author(s):

Botlhe Matlhodi ◽

Piet K. Kenabatho ◽

Bhagabat P. Parida ◽

Joyce G. Maphanyane

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Water Resource Management ◽

Driving Forces ◽

Landsat Imagery ◽

Global Environmental Change ◽

Geographical Information ◽

Lulc Changes ◽

Bare Land

Land use land cover (LULC) change is one of the major driving forces of global environmental change in many developing countries. In this study, LULC changes were evaluated in the Gaborone dam catchment in Botswana between 1984 and 2015. The catchment is a major source of water supply to Gaborone city and its surrounding areas. The study employed Remote Sensing and Geographical Information System (GIS) using Landsat imagery of 1984, 1995, 2005 and 2015. Image classification for each of these imageries was done through supervised classification using the Maximum Likelihood Classifier. Six major LULC categories, cropland, bare land, shrub land, built-up area, tree savanna and water bodies, were identified in the catchment. It was observed that shrub land and tree savanna were the major LULC categories between 1984 and 2005 while shrub land and cropland dominated the catchment area in 2015. The rates of change were generally faster in the 1995–2005 and 2005–2015 periods. For these periods, built-up areas increased by 59.8 km2 (108.3%) and 113.2 km2 (98.5%), respectively, while bare land increased by 50.3 km2 (161.1%) and 99.1 km2 (121.5%). However, in the overall period between 1984 and 2015, significant losses were observed for shrub land, 763 km2 (29.4%) and tree savanna, 674 km2 (71.3%). The results suggest the need to closely monitor LULC changes at a catchment scale to facilitate water resource management and to maintain a sustainable environment.

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INVESTIGATION OF TEMPORAL CHANGE OF LAND USE IN ELMALI BASIN USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlvi-4-w5-2021-373-2021 ◽

2021 ◽

Vol XLVI-4/W5-2021 ◽

pp. 373-378

Author(s):

H. Menteşe ◽

A. Eymen

Keyword(s):

Remote Sensing ◽

Land Use ◽

Information Systems ◽

Geographical Information Systems ◽

Temporal Change ◽

Geographical Information ◽

Support Vector ◽

Landsat 8 ◽

Marmara Region ◽

Gis And Remote Sensing

Abstract. The sustainable use of water and soil, which are indispensable for living things, is closely related to the concept of land use. While land use is becoming gradually modern as a necessity of the age, urbanization and industrialization are also gaining great importance. So much so that, in Turkey, where agriculture-based economy was emphasized until the 1980s, interest in exports of industrial products has increased in recent years and industrial investments especially in the Marmara region have increased considerably. This situation has increased job opportunities due to the industrialization developing in the region and has led to an increase in the population in parallel. The structure process has accelerated in order to meet the needs of the increasing population.Basin areas, which contain a wide variety of classes, are among the regions that are highly affected by these changes. Within the scope of the study, Elmalı Basin, which is used to supply potable and utility water to the province of Istanbul, was chosen as the study area. Within the scope of the research, the temporal change of the land use in Elmalı Basin has been investigated by using Landsat-8 satellite with a spatial resolution of 30 meters for the years 2013, 2015, 2018 and 2020 taking advantage of Geographical Information Systems (GIS) and Remote Sensing (RS) technologies. Classification was made with support vector machines, one of the controlled classification methods on satellite images, and the changes in land use were evaluated by comparing the images of working years.

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Analysis of dynamic changes in the urbanization of Xixian National New Area and its driving forces

Indoor and Built Environment ◽

10.1177/1420326x18809784 ◽

2018 ◽

Vol 28 (9) ◽

pp. 1181-1189

Author(s):

Yue Chang ◽

Kang Hou ◽

Xuxiang Li ◽

Yue Zhang

Keyword(s):

Remote Sensing ◽

Land Use ◽

Information Systems ◽

Geographical Information Systems ◽

Driving Forces ◽

Geographical Location ◽

Geographical Information ◽

Location Factors ◽

Dynamic Changes ◽

Construction Land

This study analysed the dynamic changes and driving forces in the urbanization from 1997 to 2016 of Xixian, a national new development area in Xi’an City, by using geographical information systems and remote sensing. The results showed that farmland was the main land use type from 1997 to 2004. However, the construction land occupied the largest area from 2011 to 2016. There was a significant expansion in the construction land area (33.24%), unused land (91.10%) and woodland (37.59%) from 1997 to 2016. In addition, in the period from 1997 to 2016, the water body, grassland and farmland were reduced by 52.52%, 31.73% and 23.84%, respectively. The increasing area of construction land was the inevitable result of urbanization. The terrain, policy and geographical location factors are the main driving forces for changes in the land use and urbanization. The planning of Xixian National New Area’s building environment should be linked and connected with the Xi’an main districts. The findings confirmed the applicability and effectiveness of the combined method of geographical information systems and remote sensing for revealing the notable spatio-temporal features in the dynamic changes in the land use and land cover throughout different time periods of Xixian.

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Vulnerability of soils in the watershed of Wadi El Hammam to water erosion (Algeria)

Journal of Water and Land Development ◽

10.1515/jwld-2015-0001 ◽

2015 ◽

Vol 24 (1) ◽

pp. 3-10 ◽

Cited By ~ 2

Author(s):

Mohamed Gliz ◽

Boualem Remini ◽

Djamel Anteur ◽

Mohammed Makhlouf

Keyword(s):

Remote Sensing ◽

Land Use ◽

Information Systems ◽

Geographical Information Systems ◽

Water Erosion ◽

Geographical Information ◽

North West ◽

The North ◽

Control Erosion ◽

Reference Document

Abstract Located in the north west of Algeria, the watershed of Wadi El Hammam is threatened by water erosion that has resulted the silting of reservoirs at cascade: Ouizert, Bouhanifia and Fergoug. The objective of this study is to develop a methodology using remote sensing and geographical information systems (GIS) to map the zones presenting sensibility of water erosion in this watershed. It aims to produce a sensibility map that can be used as a reference document for planners. The methodology presented consists of three factors that control erosion: the slope, the friability material and the land use, which were integrated into a GIS. The derived erosion sensibility map shows three areas of vulnerability to water erosion: low, medium and high. The area of high vulnerability corresponds to sub-basin of Fergoug.

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EXAMINE OF THE IMPACT OF LAND USE ON WATER BASINS USING GEOGRAPHICAL INFORMATION SYSTEMS AND REMOTE SENSING: TERKOS BASIN EXAMPLE

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlvi-4-w5-2021-15-2021 ◽

2021 ◽

Vol XLVI-4/W5-2021 ◽

pp. 15-20

Author(s):

S. Ahi ◽

A. Eymen

Keyword(s):

Remote Sensing ◽

Land Use ◽

Drinking Water ◽

Information Systems ◽

Geographical Information Systems ◽

Satellite Images ◽

Geographical Information ◽

Landsat 8 ◽

Gis And Remote Sensing ◽

The Impact

Abstract. Development movements bring along population movements. Investments in Istanbul make the city of Istanbul even more attractive. With the increasing population, the need for water is increasing day by day. Construction of the 3rd Istanbul Airport within the borders of Terkos Basin, which is one of the important drinking water resources of Istanbul, has caused land use changes in the basin. Geographical Information Systems (GIS) and Remote Sensing techniques have been used to examine this change. The data obtained through Remote Sensing can be easily analyzed in GIS environment.In this study, Landsat 8 satellite images of the years 2013, 2015 and 2020 were preferred in the examination of the temporal change of land use of the Terkos Basin. The satellite images obtained were classified using the controlled classification technique in the Envi program. Satellite images classified for the creation and analysis of land use maps have been transferred to the ArcGIS program. The changes in the classes determined according to the obtained results were examined, and the changes in question were revealed by spatial analysis. Suggestions have been made for the protection of the Terkos drinking water basin and ecosystem, which is extremely important for Istanbul.

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