Map presentation of changes in Europe’s artificial surfaces for the periods 1990–2000 and 2000–2006

2013 ◽  
Vol 5 (2) ◽  
Author(s):  
Jan Feranec ◽  
Tomas Soukup
Keyword(s):  
Land Cover ◽  
Human Activities ◽  
Satellite Images ◽  
Spatial Awareness ◽  
Corine Land Cover ◽  
Soil Sealing ◽  
The Third ◽  
The World ◽  
Artificial Surfaces ◽  
Dark Blue

AbstractThe landscapes of the world are constantly changing under the influence of human activities leading to the growth of artificial surfaces. The covering of soil by artificial surfaces is referred to as soil sealing. Aerial and satellite images or data derived from them (for instance CORINE land cover — CLC data used here) provide important information that makes it possible to assess the occurrence, area and rate of soil sealing. As the term sealed soil cannot be wholly identified with the content of the appropriate CLC classes, the term land cover flow urbanization (LCFU) will be used here. The essence of this study is the demonstration and documentation of the trends of the LCFU in Europe for the periods 1990–2000 and 2000–2006 on a single map. This may contribute to a better spatial awareness of the ongoing transformation of landscape under the effects of human activities in an pan-European context. Changes in the LCFU can be seen on a map, compiled from 3 × 3 km squares at an all-European scale, using colours and their hues, to fulfil the role both of identification and classification. The colour method employed makes it possible to perceive three groups of LCFU changes on two time horizons, that is, whether the rate of LCFU in 2000–2006 increased or remained the same (hues of red); or dropped compared to the 1990–2000 period (hues of light to dark blue). The third group represents the LCFU with rates higher or lower than the average (countries with changes recorded in only one time horizon are presented in dark and light magenta colours).

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 Comparison of CORINE Land Cover Data with National Statistics and the Possibility to Record This Data on a Local Scale—Case Studies from Slovakia

2020 ◽  
Vol 12 (15) ◽  
pp. 2484
Author(s):  
Vladimír Falťan ◽  
František Petrovič ◽  
Ján Oťaheľ ◽  
Ján Feranec ◽  
Michal Druga ◽  
...  
Keyword(s):  
Land Cover ◽  
Case Studies ◽  
Agricultural Land ◽  
Local Level ◽  
Hierarchical Level ◽  
Minimum Width ◽  
Corine Land Cover ◽  
The Third ◽  
National Statistics ◽  
Local Case

Monitoring of land cover (LC) provides important information of actual land use (LU) and landscape dynamics. LC research results depend on the size of the area, purpose and applied methodology. CORINE Land Cover (CLC) data is one of the most important sources of LU data from a European perspective. Our research compares official CLC data (third hierarchical level of nomenclature at a scale of 1:100,000) and national statistics (NS) of LU in Slovakia between 2000 and 2018 at national, county, and local levels. The most significant differences occurred in arable land and permanent grassland, which is also related to the recording method and the development of agricultural land management. Due to the abandonment of agricultural areas, a real recorded increase in forest cover due to forest succession was not introduced in the official records of Land register. New modification of CLC methodology for identifying LC classes at a scale of 1:10,000 and fifth hierarchical level of CLC is firstly applied for local case studies representing lowland, basin, and mountain landscape. The size of the least identified and simultaneously recorded area was established at 0.1 ha the minimum width of a polygon was established at 10 m, the minimum recorded width of linear elements such as communications was established at 2 m. The use of the fifth CLC level in the case studies areas generated average boundary density 17.2 km/km2, comparing to the 2.6 km/km2 of the third level. Therefore, when measuring the density of spatial information by the polygon boundary lengths, the fifth level carries 6.6 times more information than the third level. Detailed investigation of LU affords better verification of national statistics data at a local level. This study also contributes to a more detailed recording of the current state of the Central European landscape and its changes.

scholarly journals Assessment of Smog Pattern and its Effects on Visibility in Lahore Using Remote Sensing and GIS

2019 ◽  
Vol 10 (2) ◽  
pp. 55-59 ◽  
Author(s):  
Zartab Jahan ◽  
Faiza Sarwar ◽  
Isma Younes ◽  
Rakhshanda Sadaf ◽  
Adeel Ahmad
Keyword(s):  
Remote Sensing ◽  
Air Pollution ◽  
Human Activities ◽  
Satellite Images ◽  
Research Work ◽  
Remote Sensing And Gis ◽  
Considerable Reduction ◽  
The World ◽  
Lahore City

In recent times, many parts of the world are experiencing drastic levels of air pollution, which includessmog, the mixture of fog and smoke, polluted air formed by human activities like burning of coal, excessive use ofvehicles and many others. During November 2016, Lahore city also experienced the smog due to increased level of airpollutants. In earlier studies, very limited research work has been done related to smog, therefore, this research is aimedto study the pattern of smog in Lahore and its impact on visibility through remote sensing and GIS. Satellite images ofMODIS and Landsat OLI, of November, 2016 is used to study the pattern of smog, whereas the visibility data wasacquired from Pakistan Meteorological Department (PMD). For the processing and analysis of data ERDAS IMAGINE14 and ArcGIS 10.1 software were used. The findings of this research reveal that the dense smog cover on 2nd, 3rd,and 4th November 2016 leads to the considerable reduction in visibility. As on 2nd November’16, it was only 111.6meters (m) while during bright days it was recorded more than 300 m or 400 m.

scholarly journals Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

2020 ◽  
Vol 12 (8) ◽  
pp. 1323 ◽  
Author(s):  
Alexandru Rusu ◽  
Adrian Ursu ◽  
Cristian Constantin Stoleriu ◽  
Octavian Groza ◽  
Lilian Niacșu ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Structural Changes ◽  
Economic Modeling ◽  
Main Trend ◽  
Land Use Patterns ◽  
Corine Land Cover ◽  
Use Patterns ◽  
Artificial Surfaces ◽  
Large Farms

During the last 30 years, the Romanian economy has faced different challenges due to structural readjustments, overcoming crisis and globalization. The share of primary and secondary sectors in the gross domestic product have strongly decreased, while the services have taken off. The main objective for this study is to observe how these economic readjustments can be assessed and measured using the Corine Land Cover datasets from 1990, 2000, 2006, 2012 and 2018 (with special observation on the range 2006 and 2018, after Romania was included in European Union). Despite some of the methodological limitations (like the minimum surface change), the Corine Land Cover turned out to be a powerful tool and it allowed us to detect an intense correlation between the socioeconomic and the structural trends in land use, in specific spatial contexts. The artificial surfaces are constantly increasing and this trend is rather visible as a distance function to the major Romanian cities. The most interesting changes occurred in the case of the agricultural polygons. The main trend emphasized by our analysis regards the redeployment of large farms in areas of agronomic and environmental territorial optimum. Such is the case for vineyards (after a decline during 2000–2006) and for annual cultures. All these changes in land-use patterns are too complex to be encompassed by a single methodology, which is why we used different tools, ranging from spatial analysis to geo-economic modeling, in order to detect how the Corine Land Cover datasets might be used for a better understanding of the Romanian economic readjustments.

scholarly journals CREATION OF A HIGH-RESOLUTION PRODUCT CLC2006_BACKDATING BY A BACKWARD LOOK FROM THE DIGITAL LAND COVER MODEL DLM-DE2009 TO 2006 - A CONTRIBUTION TO THE GERMAN CORINE LAND COVER 2012 PROJECT WITHIN A BOTTOM-UP APPROACH

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1093-1100
Author(s):  
M. Keil ◽  
T. Esch ◽  
S. Feigenspan ◽  
M. Marconcini ◽  
A. Metz ◽  
...  
Keyword(s):  
Land Cover ◽  
Time Series Data ◽  
Arable Land ◽  
Series Data ◽  
Corine Land Cover ◽  
Soil Sealing ◽  
Retrospective View ◽  
Federal Environment Agency ◽  
Land Survey ◽  
Environment Agency

For the update 2012 of CORINE Land Cover, in Germany a new approach has been developed in order to profit from the higher accuracies of the national topographic database. In agreement between the Federal Environment Agency (UBA) and the Federal Agency for Cartography and Geodesy (BKG), CLC2012 has been derived from an updated digital landscape model DLM-DE, which is based on the Official Topographical Cartographic Information System ATKIS of the land survey authorities. The DLM-DE 2009 created by the BKG served as the base for the update 2012 in the national and EU context, both under the responsibility of the BKG. <br><br> In addition to the updated CLC2012, a second product, the layer "CLC_Change" (2006-2012) was also requested by the European Environment Agency. The objective of the project part of DLR-DFD was to contribute the primary change areas from 2006 to 2009 in the phase of method change using the refined 2009 geometry of the DLM-DE 2009 for a retrospective view back to 2006. A semiautomatic approach was developed for this task, with an important role of AWiFS time series data of 2005 / 2006 in the context of separation between grassland – arable land. Other valuable datasets for the project were already available GMES land monitoring products of 2006 like the soil sealing layer 2006. The paper describes the developed method and discusses exemplary results of the CORINE backdating project part.

scholarly journals Semiautomatic land cover mapping according to the 2nd level of the CORINE Land Cover legend

2015 ◽  
Vol 47 (4) ◽  
pp. 203-212 ◽  
Author(s):  
Martyna Golenia ◽  
Bogdan Zagajewski ◽  
Adrian Ochtyra ◽  
Agata Hościło
Keyword(s):  
Land Cover ◽  
Spatial Data ◽  
Satellite Images ◽  
Spatial Databases ◽  
Arable Land ◽  
Network Simulator ◽  
Corine Land Cover ◽  
Artificial Neural ◽  
Surrounding Areas ◽  
Land Cover Maps

Abstract Actual land cover maps are a very good source of information on present human activities. It increases value of actual spatial databases and it is a key element for decision makers. Therefore, it is important to develop fast and cheap algorithms and procedures of spatial data updating. Every day, satellite remote sensing deliver vast amount of new data, which can be semi-automatically classified. The paper presents a method of land cover classification based on a fuzzy artificial neural network simulator and Landsat TM satellite images. The latest CORINE Land Cover 2012 polygons were used as reference data. Three satellite images acquired 21 April 2011, 5 June 2010, 27 August 2011 over Warsaw and surrounding areas were processed. As an outcome of classification procedure, the maps, error matrices and a set of overall, producer and user accuracies and a kappa coefficient were achieved. The classification accuracy oscillates around 76% and confirms that artificial neural networks can be successfully used for forest, urban fabric, arable land, pastures, inland waters and permanent crops mapping. Low accuracies were obtained in case of heterogenic land cover units.

scholarly journals Land cover changes in Poland between 1990 and 2012

Geografie ◽  
2018 ◽  
Vol 123 (1) ◽  
pp. 63-83 ◽  
Author(s):  
Marta Borowska-Stefańska ◽  
Katarzyna Leśniewska-Napierała ◽  
Szymon Wiśniewski
Keyword(s):  
Land Cover ◽  
Spatial Autocorrelation ◽  
Land Surface ◽  
Matrix Form ◽  
Land Cover Changes ◽  
Corine Land Cover ◽  
Artificial Surfaces ◽  
The Matrix

The aim of the article is to assess the intensity and directions of land cover changes in Poland between 1990 and 2012. To achieve this goal, the authors used data from databases such as the CORINE Land Cover (CLC). The changes were analyzed for the first level of data and then presented in the matrix form both as absolute values (ha) and as percentages referring to the total aggregate land surface subject to land cover changes in this period. At the following stage of the analysis attention shifted solely to those fluctuations which referred to artificial surfaces in relation to the municipality or the cadastral unit. Subsequently, a spatial autocorrelation of land cover changes in municipalities in Poland was defined.

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

2017 ◽  
pp. 113-137 ◽  
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 Transformation Through CLC with the Continuous Research Techniques - GIS (Open Code) and RS (Geo-Web Services)

2018 ◽  
Vol 12 (2) ◽  
pp. 147-154
Author(s):  
Florim Isufi ◽  
Shpejtim Bulliqi ◽  
Ardita Hajredini
Keyword(s):  
Land Cover ◽  
Satellite Images ◽  
Research Area ◽  
The European Union ◽  
Practical Application ◽  
Coverage Area ◽  
Corine Land Cover ◽  
Open Source Gis ◽  
Gis Software ◽  
Random Method

Abstract Land cover has always been and still it is one of the main challenges in the field of geography. This study will be focused on “experimentation” of one of the most modern techniques of our time, becoming irreplaceable standard for decision-making in matters of land cover and the square method. Here we are talking about the standard named: CORINE Land Cover, a technique for describing the land cover, initiated by the European Union in 1985. More precisely part of this paper will be the principles of this technique and their practical application, by doing a research through these techniques for specific areas. CORINE Land Cover will be used to explain the coverage area while the square method will be used for the division of the research area. The research area has been designed through random method. In this study are given three study areas along the coastline with an area of 100 km2, by making the entire research area of 300 km2. Each “main” area is divided in sub-areas of 100 ha, while each of these sub-areas is divided into smaller squares with equal area of 1 ha. There are two “main experiments” in this paper: 1. Land cover technique – to design the minimum research area we used the method of square, while for explaining the coverage we used CORINE Land Cover nomenclature. 2. Technology to implement the technique – we used the so called open source GIS software and for satellite images we used Google geo-web service.

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