A Preliminary Study on Grazing Pattern of Sheep Transhumance in Turkey

Grazing activities of indigenous sheep breed of the Turkish breed Karakaş and Koçeri which were transhumance flocks were investigated in a typical unimproved mountainous pasture in the East of Turkey. Data were collected from two different flocks on main daily activities (grazing, resting, moving or standing) every fifteen minutes. The characteristics of the pastures around the routes were assessed according to CORINE Land Cover classification system. Standing was a residual activity in both study paths. The animals concentrated their activity mostly on grazing while resting and moving occurred in specific times during the whole grazing period. Once the animals were heading back to their main settlement areas to be milked, grazing activity have been increased. Further studies on grazing behavior and changes in land cover will help to adjust the management strategies to the available natural resources.

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Flickr Geotagged and Publicly Available Photos: Preliminary Study of Its Adequacy for Helping Quality Control of Corine Land Cover

Lecture Notes in Computer Science - Computational Science and Its Applications – ICCSA 2013 ◽

10.1007/978-3-642-39649-6_15 ◽

2013 ◽

pp. 205-220 ◽

Cited By ~ 7

Author(s):

Jacinto Estima ◽

Marco Painho

Keyword(s):

Quality Control ◽

Land Cover ◽

Corine Land Cover ◽

Preliminary Study

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A methodology for a combined use of normalised difference vegetation index and CORINE land cover data for crop yield monitoring and forecasting. A case study on Spain

Agronomie ◽

10.1051/agro:2001111 ◽

2001 ◽

Vol 21 (1) ◽

pp. 91-111 ◽

Cited By ~ 66

Author(s):

Giampiero Genovese ◽

C. Vignolles ◽

T. Nègre ◽

G. Passera

Keyword(s):

Land Cover ◽

Crop Yield ◽

Vegetation Index ◽

Corine Land Cover ◽

Land Cover Data ◽

Combined Use ◽

Normalised Difference Vegetation Index ◽

Monitoring And Forecasting ◽

Yield Monitoring

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

Land ◽

10.3390/land10040334 ◽

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.

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Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

Remote Sensing ◽

10.3390/rs13061060 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1060

Author(s):

Luc Baudoux ◽

Jordi Inglada ◽

Clément Mallet

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Time Frame ◽

Superior Performance ◽

Land Cover Mapping ◽

Visual Interpretation ◽

Remote Sensing Images ◽

Corine Land Cover ◽

Land Cover Map ◽

By Products

CORINE Land-Cover (CLC) and its by-products are considered as a reference baseline for land-cover mapping over Europe and subsequent applications. CLC is currently tediously produced each six years from both the visual interpretation and the automatic analysis of a large amount of remote sensing images. Observing that various European countries regularly produce in parallel their own land-cover country-scaled maps with their own specifications, we propose to directly infer CORINE Land-Cover from an existing map, therefore steadily decreasing the updating time-frame. No additional remote sensing image is required. In this paper, we focus more specifically on translating a country-scale remote sensed map, OSO (France), into CORINE Land Cover, in a supervised way. OSO and CLC not only differ in nomenclature but also in spatial resolution. We jointly harmonize both dimensions using a contextual and asymmetrical Convolution Neural Network with positional encoding. We show for various use cases that our method achieves a superior performance than the traditional semantic-based translation approach, achieving an 81% accuracy over all of France, close to the targeted 85% accuracy of CLC.

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Comparative Assessment of the Built-Up Area Expansion Based on Corine Land Cover and Landsat Datasets: A Case Study of a Post-Socialist City

Remote Sensing ◽

10.3390/rs12132137 ◽

2020 ◽

Vol 12 (13) ◽

pp. 2137 ◽

Cited By ~ 1

Author(s):

Ilinca-Valentina Stoica ◽

Marina Vîrghileanu ◽

Daniela Zamfir ◽

Bogdan-Andrei Mihai ◽

Ionuț Săvulescu

Keyword(s):

Land Cover ◽

Urban Expansion ◽

Ground Truth ◽

Cost Effective ◽

Planning System ◽

The European Union ◽

Scale Level ◽

Corine Land Cover ◽

Macro Scale ◽

Area Expansion

Monitoring uncontained built-up area expansion remains a complex challenge for the development and implementation of a sustainable planning system. In this regard, proper planning requires accurate monitoring tools and up-to-date information on rapid territorial transformations. The purpose of the study was to assess built-up area expansion, comparing two freely available and widely used datasets, respectively, Corine Land Cover and Landsat, to each other, as well as the ground truth, with the goal of identifying the most cost-effective and reliable tool. The analysis was based on the largest post-socialist city in the European Union, the capital of Romania, Bucharest, and its neighboring Ilfov County, from 1990 to 2018. This study generally represents a new approach to measuring the process of urban expansion, offering insights about the strengths and limitations of the two datasets through a multi-level territorial perspective. The results point out discrepancies between the datasets, both at the macro-scale level and at the administrative unit’s level. On the macro-scale level, despite the noticeable differences, the two datasets revealed the spatiotemporal magnitude of the expansion of the built-up area and can be a useful tool for supporting the decision-making process. On the smaller territorial scale, detailed comparative analyses through five case-studies were conducted, indicating that, if used alone, limitations on the information that can be derived from the datasets would lead to inaccuracies, thus significantly limiting their potential to be used in the development of enforceable regulation in urban planning.

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Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems

Remote Sensing ◽

10.3390/rs13091743 ◽

2021 ◽

Vol 13 (9) ◽

pp. 1743

Author(s):

Daniel Paluba ◽

Josef Laštovička ◽

Antonios Mouratidis ◽

Přemysl Štych

Keyword(s):

Time Series ◽

Land Cover ◽

Forest Type ◽

Incidence Angle ◽

Correction Method ◽

Google Earth ◽

Forest Change ◽

Corine Land Cover ◽

Angle Correction ◽

Wide Range

This study deals with a local incidence angle correction method, i.e., the land cover-specific local incidence angle correction (LC-SLIAC), based on the linear relationship between the backscatter values and the local incidence angle (LIA) for a given land cover type in the monitored area. Using the combination of CORINE Land Cover and Hansen et al.’s Global Forest Change databases, a wide range of different LIAs for a specific forest type can be generated for each scene. The algorithm was developed and tested in the cloud-based platform Google Earth Engine (GEE) using Sentinel-1 open access data, Shuttle Radar Topography Mission (SRTM) digital elevation model, and CORINE Land Cover and Hansen et al.’s Global Forest Change databases. The developed method was created primarily for time-series analyses of forests in mountainous areas. LC-SLIAC was tested in 16 study areas over several protected areas in Central Europe. The results after correction by LC-SLIAC showed a reduction of variance and range of backscatter values. Statistically significant reduction in variance (of more than 40%) was achieved in areas with LIA range >50° and LIA interquartile range (IQR) >12°, while in areas with low LIA range and LIA IQR, the decrease in variance was very low and statistically not significant. Six case studies with different LIA ranges were further analyzed in pre- and post-correction time series. Time-series after the correction showed a reduced fluctuation of backscatter values caused by different LIAs in each acquisition path. This reduction was statistically significant (with up to 95% reduction of variance) in areas with a difference in LIA greater than or equal to 27°. LC-SLIAC is freely available on GitHub and GEE, making the method accessible to the wide remote sensing community.

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The Influence of Climate and Land-Cover Scenarios on Dam Management Strategies in a High Water Pressure Catchment in Northeast Spain

Water ◽

10.3390/w10111668 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1668 ◽

Cited By ~ 4

Author(s):

J. Zabalza-Martínez ◽

S. Vicente-Serrano ◽

J. López-Moreno ◽

G. Borràs Calvo ◽

R. Savé ◽

...

Keyword(s):

Climate Change ◽

Water Management ◽

Land Cover ◽

Water Pressure ◽

Management Strategies ◽

High Water ◽

Climate Change Scenarios ◽

Dam Management ◽

Dam Inflow ◽

Similar Decrease

This paper evaluates the response of streamflow in a Mediterranean medium-scaled basin under land-use and climate change scenarios and its plausible implication on the management of Boadella–Darnius reservoir (NE Spain). Land cover and climate change scenarios supposed over the next several decades were used to simulate reservoir inflow using the Regional Hydro-Ecologic Simulation System (RHESsys) and to analyze the future impacts on water management (2021–2050). Results reveal a clear decrease in dam inflow (−34%) since the dam was operational from 1971 to 2013. The simulations obtained with RHESsys show a similar decrease (−31%) from 2021 to 2050. Considering the ecological minimum flow outlined by water authorities and the projected decrease in reservoir’s inflows, different water management strategies are needed to mitigate the effects of the expected climate change.

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