scholarly journals Land cover and land use change in karst region Devetashko plateau

2021 ◽  
Vol 33 ◽  
pp. 51-78
Author(s):  
Georgi Jelev ◽  
Dilyana Stefanova ◽  
Petar Stefanov
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Digital Data ◽  
Karst Region ◽  
Data Sets ◽  
Mapping Unit ◽  
Corine Land Cover ◽  
Karst Waters

The Corine Land Cover (CLC) is a digital data about land cover which is distributed into 44 classes whereas for the territory of Bulgaria the CLC classes are 36. The minimal mapping unit is 25 hectares (for 2D objects and 100 m for linear objects). Data sets for the years 1990, 2000, 2006, 2012, and 2018 are available, as well as for the changes which have occurred between each couple of years (1990–2000, 2000–2006, 2006–2012, and 2012–2018). The great data sets provide to track over a nearly 30-year period of land cover changes in model karst regions which are strongly vulnerable to anthropogenic and natural influences. This paper considers the changes in the land cover types on the Devetashko plateau – a typical karst plateau in North Bulgaria. Land cover and land use changes affect directly the processes of modern karst-genesis, the soil-vegetation cover, the quantity and quality of underground karst waters.

scholarly journals PRODUCING INFORMATION FOR CORINE DATABASE BY USING CLASSIFICATION METHOD: A CASE STUDY OF SAZLIDERE BASIN, ISTANBUL

2017 ◽  
Vol IV-4/W4 ◽  
pp. 357-362
Author(s):  
F. B. Sarıyılmaz ◽  
N. Musaoğlu ◽  
N. Uluğtekin
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landsat Images ◽  
Mapping Unit ◽  
Corine Land Cover ◽  
Land Cover Data ◽  
Image Pixels ◽  
Analysis Of The Images ◽  
Agricultural Areas

The Sazlidere Basin is located on the European side of Istanbul within the borders of Arnavutkoy and Basaksehir districts. The total area of the basin, which is largely located within the province of Arnavutkoy, is approximately 177 km2. The Sazlidere Basin is faced with intense urbanization pressures and land use / cover change due to the Northern Marmara Motorway, 3rd airport and Channel Istanbul Projects, which are planned to be realized in the Arnavutkoy region. Due to the mentioned projects, intense land use /cover changes occur in the basin. In this study, 2000 and 2012 dated LANDSAT images were supervised classified based on CORINE Land Cover first level to determine the land use/cover classes. As a result, four information classes were identified. These classes are water bodies, forest and semi-natural areas, agricultural areas and artificial surfaces. Accuracy analysis of the images were performed following the classification process. The supervised classified images that have the smallest mapping units 0.09 ha and 0.64 ha were generalized to be compatible with the CORINE Land Cover data. The image pixels have been rearranged by using the thematic pixel aggregation method as the smallest mapping unit is 25 ha. These results were compared with CORINE Land Cover 2000 and CORINE Land Cover 2012, which were obtained by digitizing land cover and land use classes on satellite images. It has been determined that the compared results are compatible with each other in terms of quality and quantity.

scholarly journals Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012

Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Achim Ahrens ◽  
Seán Lyons
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Sprawl ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Unconditional Convergence ◽  
Corine Land Cover ◽  
Remote Areas ◽  
Using Data

In this article, we first summarise trends of land use changes and urbanisation in Ireland since 1990 using data from the Corine Land Cover program. In doing so, we compare the developments in Ireland with other European countries. Second, we propose a statistical test for the presence of sprawl using conditional and unconditional convergence tests. The two-part empirical analysis allows us to establish that Ireland has experienced a substantial loss of non-urban land in recent decades. Furthermore, a significant share of urban land use has been extended to remote areas, thereby exacerbating sprawl.

scholarly journals Land Use Changes in Iberian Peninsula 1990–2012

Land ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 99 ◽  
Author(s):  
David Fernández-Nogueira ◽  
Eduardo Corbelle-Rico
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Agricultural Intensification ◽  
Forest Cover ◽  
Land Use Changes ◽  
The Other ◽  
Corine Land Cover ◽  
Main Research ◽  
Research Questions ◽  
The One

This work aims to provide a comprehensive, wall-to-wall analysis of land use/cover changes in the continental areas of Portugal and Spain between 1990 and 2012. This overall objective is developed into two main research questions: (1) Whether differences between the extent and prevalence of changes exist between both countries and (2) which are the hotspots of change (areas where a given land use/cover transition dominates the landscape) in each country. We used Corine Land Cover in three different points in time (1990, 2000, 2012) to explore eight characteristic land cover transitions and carried out a cluster analysis at LAU2 level (municipalities in Spain, parishes in Portugal) that allowed to identify the areas in which each transition was dominant. The main findings include the decline of agricultural area and the increase of urbanized and artificial covers in both countries, but different trends followed by forest cover, with an increase in Spain and a decrease in Portugal. At the same time, the spatial analysis provided an overview of the main gradients of change related to tensions between agricultural intensification–extensification, on the one hand, and deforestation–afforestation, on the other.

scholarly journals Land Use Changes Monitoring with CORINE Land Cover Data

2017 ◽  
Vol 245 ◽  
pp. 052049 ◽  
Author(s):  
Iwona Cieślak ◽  
Karol Szuniewicz ◽  
Katarzyna Pawlewicz ◽  
Szymon Czyża
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Corine Land Cover ◽  
Land Cover Data

scholarly journals Land use classification and land use change analysis using satellite images in Lojing, Kelantan.

2019 ◽  
Vol 7 (2) ◽  
pp. 53-60
Author(s):  
Jacqueline John Hiew ◽  
Amal Najihah M. Nor ◽  
Nur Hairunnisa Rafaai ◽  
Nur Hanisah Abdul Malek ◽  
Hasifah Abdul Aziz ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Accuracy Assessment ◽  
Land Use Changes ◽  
Unsupervised Classification ◽  
United States Geological Survey ◽  
Land Use Land Cover ◽  
Land Use Classification ◽  
Change Analysis

Remote sensing is widely used to capture the images of land use/land cover on earth. This paper studies on the land use changes in Lojing, Kelantan in 1989 dan 2006. The land use is then classified, and the classification scheme was adopted from United States Geological Survey (USGS) Land Use/ Land Cover Classification System. Supervised classification method has been used since it was proved by other research to be more accurate compared to unsupervised classification. Accuracy assessment was conducted to calculate the accuracy of the land use map produced so that at the end, a good quality of land use map is produced. The findings of this study is that, there had been an insignificant land use changes between the year 1989 and 2006. The conclusion is, Lojing had been experiencing changes in term of land use due to the increased socioeconomic activities especially agriculture and logging at the highlands of Lojing.

Impact of Land Cover Land Use Changes (LCLUC) on Earth Resources & Human Life – A Literature Survey

2020 ◽  
Author(s):  
Sangeeta Soni ◽  
Dr. Savita Shiwani ◽  
Aman Arora
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Human Life ◽  
Land Use Changes ◽  
Literature Survey

scholarly journals Cropland Abandonment in Slovakia: Analysis and Comparison of Different Data Sources

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 334
Author(s):  
Juraj Lieskovský ◽  
Dana Lieskovská
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Data ◽  
Data Sources ◽  
Communist Regime ◽  
Corine Land Cover ◽  
Cropland Area ◽  
Cropland Abandonment ◽  
Multi Temporal

This study compares different nationwide multi-temporal spatial data sources and analyzes the cropland area, cropland abandonment rates and transformation of cropland to other land cover/land use categories in Slovakia. Four multi-temporal land cover/land use data sources were used: The Historic Land Dynamics Assessment (HILDA), the Carpathian Historical Land Use Dataset (CHLUD), CORINE Land Cover (CLC) data and Landsat images classification. We hypothesized that because of the different spatial, temporal and thematic resolution of the datasets, there would be differences in the resulting cropland abandonment rates. We validated the datasets, compared the differences, interpreted the results and combined the information from the different datasets to form an overall picture of long-term cropland abandonment in Slovakia. The cropland area increased until the Second World War, but then decreased after transition to the communist regime and sharply declined following the 1989 transition to an open market economy. A total of 49% of cropland area has been transformed to grassland, 34% to forest and 15% to urban areas. The Historical Carpathian dataset is the more reliable long-term dataset, and it records 19.65 km2/year average cropland abandonment for 1836–1937, 154.44 km2/year for 1938–1955 and 140.21 km2/year for 1956–2012. In comparison, the Landsat, as a recent data source, records 142.02 km2/year abandonment for 1985–2000 and 89.42 km2/year for 2000–2010. These rates, however, would be higher if the dataset contained urbanisation data and more precise information on afforestation. The CORINE Land Cover reflects changes larger than 5 ha, and therefore the reported cropland abandonment rates are lower.

scholarly journals Understanding Completeness and Diversity Patterns of OSM-Based Land-Use and Land-Cover Dataset in China

2020 ◽  
Vol 9 (9) ◽  
pp. 531
Author(s):  
ShuZhu Wang ◽  
Qi Zhou ◽  
YuanJian Tian
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Quality Assessment ◽  
Socioeconomic Factors ◽  
Reference Dataset ◽  
Diversity Pattern ◽  
Diversity Patterns ◽  
Intrinsic Quality ◽  
Accuracy Measures

OpenStreetMap (OSM) data are considered essential for land-use and land-cover (LULC) mapping despite their lack of quality. Most relevant studies have employed an LULC reference dataset for quality assessment, but such a reference dataset is not freely available for most countries and regions. Thus, this study conducts an intrinsic quality assessment of the OSM-based LULC dataset (i.e., without using a reference LULC dataset) by examining the patterns of both its completeness and diversity. With China chosen as the study area, an OSM-based LULC dataset of the country was first generated and validated by using various accuracy measures. Both its completeness and diversity patterns were then mapped and analyzed in terms of each prefecture-level division of the country. The results showed the following: (1) While the overall accuracy was as high as 82.2%, most complete regions of China were not mapped well owing to a lack of diverse LULC classes. (2) In terms of socioeconomic factors and the number of contributors, higher correlations were noted for diversity patterns than completeness patterns; thus, the diversity pattern is a better reflection of socioeconomic factors and the spatial patterns of contributors. (3) Both the completeness and the diversity patterns can be combined to better understand an OSM-based LULC dataset. These results indicate that it is useful to consider diversity as a supplement for intrinsically assessing the quality of an OSM-based LULC dataset. This analytical method can also be applied to other countries and regions.

scholarly journals Impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand

2012 ◽  
Vol 7 (No. 1) ◽  
pp. 10-17 ◽  
Author(s):  
S. Wijitkosum
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
National Park ◽  
Land Use Changes ◽  
Influential Factors ◽  
Geographical Information ◽  
Adjacent Area ◽  
Erosion Risk ◽  
Study Results

Soil erosion has been considered as the primary cause of soil degradation since soil erosion leads to the loss of topsoil and soil organic matters which are essential for the growing of plants. Land use, which relates to land cover, is one of the influential factors that affect soil erosion. In this study, impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand, were investigated by applying remote sensing technique, geographical information system (GIS) and the Universal Soil Loss Equation (USLE). The study results revealed that land use changes in terms of area size and pattern influenced the soil erosion risk in Pa Deng in the 1990–2010 period. The area with smaller land cover obviously showed the high risk of soil erosion than the larger land cover did.

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