Monitoring 60 Years of Land Cover Change in the Marathon  Area, Greece

Gaitanis, Apostolos; Kalogeropoulos, Kleomenis; Detsis, Vassilis; Chalkias, Christos

doi:10.3390/land4020337

Cited by 19 publications

(18 citation statements)

References 35 publications

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“…A series of studies have been undertaken to model the influences of different factors on changes in vegetation cover [10]. Among them, Hyandye et al [11] determined that variations in precipitation, slope aspect, road network density generate changes in land use.…”

Section: Introductionmentioning

confidence: 99%

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

Soto

Román‐Figueroa

Paneque

2019

Land

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The natural salt meadows of Tilopozo in the hyperarid, Atacama Desert of northern Chile, which are located at approximately 2800 m above sea level, are under pressure from industrial activity, and cultivation and grazing by local communities. In this research, the land surface covered by salt meadow vegetation was estimated from normalized difference vegetation indices (NDVI) derived from Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+) and Operational Land Imager (OLI) data from 1985 to 2016. The vegetated area of the Tilopozo salt meadows decreased by 34 ha over the 32-year period studied. Multiple regression models of the area covered by vegetation and climate data and groundwater depths were derived on an annual basis, as well as for both the dry and wet seasons and had R2 values of 83.0%, 72.8% and 92.4% respectively between the vegetated areas modeled and those estimated from remotely sensed data. These models are potentially useful tools for studies into the conservation of the Tilopozo salt meadows, as they provide relevant information on the state of vegetation and enable changes in vegetation in response to fluctuations in climate parameters and groundwater depths to be predicted.

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Section: Introductionmentioning

confidence: 99%

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

Soto

Román‐Figueroa

Paneque

2019

Land

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“…The availability of aerial and satellite imagery in recent years and the development and free distribution of powerful GIS software made easier to perform remote sensing inquires over a specific territory (Rocchini et al, 2012) (Tattoni et al, 2010) (Neteler , Mitasova, 2008). Techniques such as image classification are a consolidated method for studying multi-temporal forest evolution (Gaitanis et al, 2015) (Godone et al, 2014) (Gautam et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

Fine Spatial Scale Modelling of Trentino Past Forest Landscape (Trentinoland): A Case Study of Foss Application

Gobbi

Cantiani

Rocchini

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Trentino is an Italian alpine region (about 6200&thinsp;km2) with a forest coverage exceeding 60% of its whole surface. In the past, forest landscape has changed dramatically, especially in periods of forest over-exploitation.Previous studies in some Trentino sub-regions (Val di Fassa, Paneveggio) have identified these changes and the current trend of forest growth at the expenses of open areas, such as pastures and grasslands, due to the abandonment of rural areas. This phenomenon leads to the rapid Alpine landscape change and profoundly affects the ecological features of mountain ecosystems. To be able to monitor and to take future actions about this trend it is fundamental to know in detail the historical situation of the progressive changes on the land use that occurred over Trentino.The work aims to comprehensively reconstruct the forest cover of whole Trentino at high resolution (5&thinsp;m&thinsp;&times;&thinsp;5&thinsp;m pixels) using a series of maps spanning a long period, consisting in historical maps, aerial images, remote sensed information and historical archives. The datasets were archived, processed and analyzed using the Free and Open Source Software (FOSS) GIS GRASS and QGIS. Historical maps include Atlas Tyrolensis (dated 1770), Theresianischer Kataster (dated 1859) and Italian Kingdom Forest Map (IKFM) of 1936. The aerial imagery dataset includes aerial images taken in 1954, which have been orthorectified during this research, and orthophotos available for years 1973, 1994, 2000, 2006, 2010 and 2016. Remote sensed information includes Landsat and recent Lidar data, while historical archives consist mostly in Forest Management Plans available since around 1950.The versatility of the wide variety of modules supplied from the FOSS GRASS and QGIS enabled to perform a diverse set of analysis and pre-processing (e.g.:orthorectification) on a heterogeneous dataset of input images. We will focus on the different strategies and methodologies implemented in the FOSS GIS used to process the various types of geographic data, challenges for the future of the research and the fundamental role of the FOSS systems in this process.Quantifying forest change in the time-span of our dataset can be used to perform further analysis on ecosystem services, such as protection from soil erosion, and on modification of biome diversity and to create future change scenarios.

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“…According to the studies by [13][14][15], crop and forest resources have been almost completely exhausted all over the world. Thus far, the use of land and the changes in the use of land have been widely investigated, mainly in the context of their effects on the landscape [16][17][18][19][20][21][22][23][24], soil protection [25][26][27][28], climate change [29][30][31][32][33][34], policies used at a local level aimed at protecting crops and forestland [35][36][37] as well as the land's comprehensive reconstruction through land consolidation works [38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas

Wójcik-Leń¹,

Leń

2021

Land

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The main priorities of the common agricultural policies of the European Union (EU) are improvement of the quality of life in rural areas for their inhabitants as well as the optimum utilisation of rural resources. The most efficient tools to improve the management conditions and utilise the potential of land are land consolidation works aimed at creating more favourable management conditions in agriculture and forestry through improving the territorial structure of farms, forests and forestland; the reasonable configuration of land, aligning the limits of real properties with the system of irrigation; and drainage facilities, roads and terrain. The development of agriculture in Poland and its production capacity are considerably differentiated in terms of space. At present, Poland has agricultural areas which, in many respects, have a chance of competing with agriculture in the other member states of the European Union. However, in some areas, agricultural production run by private farms owned by individuals is on the verge of falling below the limit of profitability or falls below the limit of profitability. Currently, Poland lacks tools (strategies) allowing identification of land for intensive agricultural production as well as information about agricultural land that should be developed for non-agricultural purposes. Therefore, it is necessary to develop a methodology for identifying similar areas using available tools that can facilitate reliable identification of the areas relating to the indicated factors. Taxonomic methods can be used for clustering purposes. The study materials are data derived from real property register databases referring to one of the districts (poviats) situated in east-central Poland. As a final result, a method of clustering villages according to similar land-use categories was developed. It was created using two independent statistical methods: Ward’s method and the complete-linkage method. The highest consistency was observed in two groups of identified types of areas sharing very similar characteristics. A high index of similarity of both methods—the so-called Rand index—testified to the reliability of the results of calculations. The results of clustering corresponded to a large extent to actual features defining the use of land in the analysed villages as well as the terrain relief.

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Monitoring 60 Years of Land Cover Change in the Marathon Area, Greece

Cited by 19 publications

References 35 publications

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

Fine Spatial Scale Modelling of Trentino Past Forest Landscape (Trentinoland): A Case Study of Foss Application

Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas

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