scholarly journals The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal

2018 ◽  
Vol 7 (10) ◽  
pp. 390 ◽  
Author(s):  
Bruno Meneses ◽  
Eusébio Reis ◽  
Rui Reis ◽  
Maria Vale
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Pixel Size ◽  
Territorial Development ◽  
European Environment Agency ◽  
Corine Land Cover ◽  
Mainland Portugal ◽  
Environment Agency ◽  
Factor Form ◽  
Effects Of Land Use

Multiple land use and land cover (LUC) datasets are available for the analysis of LUC changes (LUCC) in distinct territories. Sometimes, different LUCC results are produced to characterize these changes for the same territory and the same period. These differences reflect: (1) The different properties of LUC geoinformation (GI) used in the LUCC assessment, and (2) different criteria used for vector-to-raster conversion, namely, those deriving from outputs with different spatial resolutions. In this research, we analyze LUCC in mainland Portugal using two LUC datasets with different properties: Corine Land Cover (CLC 2006 and 2012) and LUC official maps of Portugal (Carta de Ocupação do Solo, COS 2007 and 2010) provided by the European Environment Agency (EEA) and the General Directorate for Territorial Development (DGT). Each LUC dataset has undergone vector-to-raster conversion, with different resolutions (10, 25, 50, 100, and 200 m). LUCC were analyzed based on the vector GI of each LUC dataset, and with LUC raster outputs using different resolutions. Initially, it was observed that the areas with different LUC types in two LUC datasets in vector format were not similar—a fact explained by the different properties of this type of GI. When using raster GI to perform the analysis of LUCC, it was observed that at high resolutions, the results are identical to the results obtained when using vector GI, but this ratio decreases with increased cell size. In the analysis of LUCC results obtained with raster LUC GI, the outputs with pixel size greater than 100 m do not follow the same trend of LUCC obtained with high raster resolutions or using LUCC obtained with vector GI. These results point out the importance of the factor form and the area of the polygons, and different effects of amalgamation and dilation in the vector-to-raster conversion process, more evident at low resolutions. These findings are important for future evaluations of LUCC that integrate raster GI and vector/raster conversions, because the different LUC GI resolution in line with accuracy can explain the different results obtained in the evaluation of LUCC. The present work demonstrates this fact, i.e., the effects of vector-to-raster conversions using various resolutions culminated in different results of LUCC.

scholarly journals Dynamika zmian użytkowania ziemi małych miast województwa śląskiego

2019 ◽  
pp. 45-57
Author(s):  
Agnieszka Majorek
Keyword(s):  
Land Cover ◽  
European Environment Agency ◽  
Corine Land Cover ◽  
Environment Agency

Współczesne miasta coraz częściej bardzo wyraźnie odczuwają, że przestrzeń jest zasobem ograniczonym. Potrzeba bardziej racjonalnego użytkowania gruntów jest powszechnie znana, stąd prowadzony jest monitoring zmian zachodzących w użytkowaniu terenu. W opracowaniu przedstawiono wyniki analizy zmian użytkowania terenu małych miast województwa śląskiego na podstawie danych pochodzących z Corine Land Cover na przestrzeni lat 1990–2018. Badanie zostało przeprowadzone w oparciu o wskaźniki skonstruowane przez European Environment Agency, związane z recyklingiem gruntów. Ponadto przeanalizowano kierunki rozwoju przestrzennego małych miast, wskazując na ogólną charakterystykę zaobserwowanych zmian.

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 Long-term effects of land use/land cover change on surface runoff in urban areas of Beijing, China

2013 ◽  
Vol 8 (1) ◽  
pp. 084596 ◽  
Author(s):  
Zhongchang Sun ◽  
Xinwu Li ◽  
Wenxue Fu ◽  
Yingkui Li ◽  
Dongsheng Tang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Surface Runoff ◽  
Urban Areas ◽  
Land Use Land Cover ◽  
Long Term Effects ◽  
Effects Of Land Use ◽  
Beijing China

scholarly journals Using OpenStreetMap to Create Land Use and Land Cover Maps

2019 ◽  
pp. 1100-1123
Author(s):  
Cidália Costa Fonte ◽  
Joaquim António Patriarca ◽  
Marco Minghini ◽  
Vyron Antoniou ◽  
Linda See ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Level Of Detail ◽  
Bottom Up ◽  
Corine Land Cover ◽  
Online System ◽  
Urban Regions ◽  
The World ◽  
Future Work ◽  
Land Cover Maps

OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. Yet the application of OSM to land use and land cover (LULC) mapping is still largely unexploited due to problems with inconsistencies in the data and harmonization of LULC nomenclatures with OSM. This chapter outlines an automated methodology for creating LULC maps using the nomenclature of two European LULC products: the Urban Atlas (UA) and CORINE Land Cover (CLC). The method is applied to two regions in London and Paris. The results show that LULC maps with a level of detail similar to UA can be obtained for the urban regions, but that OSM has limitations for conversion into the more detailed non-urban classes of the CLC nomenclature. Future work will concentrate on developing additional rules to improve the accuracy of the transformation and building an online system for processing the data.

scholarly journals Effects of Land Use/Land Cover Changes on Selected Soil Physical and Chemical Properties in Shenkolla Watershed, South Central Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Belayneh Bufebo ◽  
Eyasu Elias
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Soil Fertility ◽  
Soil Properties ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Forest Land ◽  
South Central ◽  
Effects Of Land Use ◽  
Poor Management

Land use change from natural ecosystems to managed agroecosystems is one of the main causes of soil fertility decline. Severe soil erosion caused by agricultural expansion and poor management worsened soil nutrient depletion in cultivated outfields (crop lands). This study was conducted to examine the effects of land use and land cover changes (LU/LC) on selected soil physicochemical properties in the Shenkolla watershed. A total of 40 top soil samples at 0–20 cm depth were collected from four land use/land cover types (forest land, grazing land, cultivated outfield, and cultivated homestead garden fields). The analysis of variance (ANOVA) was applied to determine differences in soil parameters among land use types. Treatment means comparison was determined using the least significant difference (LSD) at 0.05 level of significances. The result indicated that there were significant P<0.05 differences among the four LU/LC types for soil characteristics. For most parameters evaluated, the most favorable soil properties were observed in the forest land, followed by homestead garden fields, while the least favorable soil properties were found in intensively cultivated outfields. Increase in the extent of cultivated land at the expense of forest cover associated with poor management has promoted significant loss of soil quality in intensively cultivated outfields. Reducing the land cover conversion and adopting proper management practices of the soil commonly used in homestead garden fields are very crucial in order to improve soil fertility in intensively cultivated outfields.

scholarly journals The Use of Geographic Databases for Analyzing Changes in Land Cover—A Case Study of the Region of Warmia and Mazury in Poland

2020 ◽  
Vol 9 (6) ◽  
pp. 358
Author(s):  
Iwona Cieślak ◽  
Andrzej Biłozor ◽  
Anna Źróbek-Sokolnik ◽  
Marek Zagroba
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Data ◽  
Landscape Fragmentation ◽  
Water Bodies ◽  
Corine Land Cover ◽  
Land Cover Data ◽  
Land Use Types ◽  
Over Time

This article analyzes the applicability of spatial data for evaluating and monitoring changes in land use and their impact on the local landscape. The Coordination of Information on the Environment (CORINE) Land Cover database was used to develop a procedure and an indicator for analyzing changes in land cover, and the continuity of different land use types. Changes in land use types were evaluated based on land cover data. The results were analyzed over time to track changes in the evaluated region. The studied area was the Region of Warmia and Mazury in Poland. The preservation of homogeneous land cover plays a particularly important role in areas characterized by high natural value and an abundance of forests and water bodies. The study revealed considerable changes in land cover and landscape fragmentation in the analyzed region.

Simulation of the climatic effects of land use/land cover changes in eastern China using multi-model ensembles

2017 ◽  
Vol 154 ◽  
pp. 1-9 ◽  
Author(s):  
Xianliang Zhang ◽  
Zhe Xiong ◽  
Xuezhen Zhang ◽  
Ying Shi ◽  
Jiyuan Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Eastern China ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Climatic Effects ◽  
Model Ensembles ◽  
Effects Of Land Use
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