Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya)

Güngöroğlu, Cumhur; Kavgacı, Ali; Coşgun, Ufuk; Çalıkoğlu, M. Erem; Örtel, Erdal; Balpinar, Neslihan

doi:10.1080/01426397.2017.1386776

Cited by 6 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Landscape character can promote a better understanding of landscape resources [2] and help avoid the homogeneous evolution of the landscape that leads to the loss of uniqueness and a sense of place [3,4]. Identifying landscape characteristics, mapping their types, making judgments based on landscape character assessment (LCA), specific development, and utilisation methods are accepted core methods of landscape characterisation in Europe [5][6][7][8]. These approaches provide information for research on the landscape, territorial planning, and land management [9], and provide a basic framework for the systematic monitoring and assessment of landscape changes [3,7,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Identifying Terrestrial Landscape Character Types in China

Pan

et al. 2022

Land

View full text Add to dashboard Cite

Landscape character assessment (LCA) is a widely used tool that integrates natural, cultural, and perceptual attributes to identify and portray landscape. In this study, we used the LCA method to identify the landscape characteristics of China at the national scale. Furthermore, we applied cultural and landscape structural factors along with spatial transmission to improve the identification system. First, we incorporated all the parameters in the assessment. We selected 15 landscape character factors from four factor types including nature, culture, spatial geographic co-ordinates, and landscape structure. These parameters were analysed using multilevel overlay and spatial connection tools in ArcGis 10.2, which resulted in 2307 landscape description units (LDUs). Second, the spatial structure properties of the LDUs were determined using a semivariogram and the moving window method in ArcGis 10.2 and Fragstats 4.2 software, respectively. Third, for visualisation, we applied the principal component analysis (PCA) using the SPSS software and elbow and k-means clustering methods using MATLAB to determine 110 landscape character types (LCTs) of China’s entire terrestrial landscape. Finally, we determined 1483 landscape character areas through semiautomatic segmentation and manual visual correction using eCognition. Based on the unique characteristics of the entire terrestrial landscape of China, a set of ideas and methods for the overall identification of LCTs was proposed. Our findings can be used to optimise territorial spatial planning and landscape protection and management, and promote multiscale land-use studies in China.

show abstract

Section: Introductionmentioning

confidence: 99%

Identifying Terrestrial Landscape Character Types in China

Pan

et al. 2022

Land

View full text Add to dashboard Cite

show abstract

“…As demonstrated by Qiang and Lam (2015) and Aguejdad et al (2017), the use of remote sensing in monitoring and modelling land use and cover change associated with urbanisation are of great importance in understanding how these changes interact with ecological and social processes. The use of spatial tools to illustrate explicit land changes is helpful in making land use management decisions and sustainable landscape (Gounaridis, 2016;Güngöroğlu et al, 2017;Sharma et al, 2018).The approach presented can act as a baseline to continuously monitor land change and to assist ongoing and upcoming land change mapping initiatives.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the impact of urbanisation on agricultural and forest areas in the coastal zone of Mostaganem (western Algeria)

Mostari

Benabdeli

Ferah

2021

Ekológia (Bratislava)

View full text Add to dashboard Cite

The accelerated and uncontrolled urbanisation in the coastal zone of Mostaganem is exclusively at the expense of agricultural and natural areas and is reflected in the aggravation of their degradation. The study area is a 62-km-long littoral to the west of Mostaganem and includes 11 municipalities. The Corine Land Cover nomenclature was used by exploiting data from Landsat satellite images over a 30-year period. The exploitation of statistics related to agricultural and forestry areas reveals a worrying dynamics. All spaces are under pressure mainly due to urbanisation. The phenomena of urbanization and coastalisation and the development of seaside tourism have increased the pressures on natural heritage to the point of compromising it. The analysis identified seven thematic object classes for the study area. An assessment of the dynamics of urban, forest and agricultural areas is an informative indicator of the sustainability of natural areas in the coastline of Mostaganem. The cultivated areas measured from 42,356 ha in 1985 to 38,301 ha in 2015,forest formations from 8207 ha to 9298 ha and urbanised areas from 2604 ha to 5049 ha. The dramatic land use change stimulated by rapid urbanisation in the study areas has resulted in a fundamental change in the landscape pattern. The thematic maps and the results obtained through different periods show that the predominant agricultural landscape has been gradually converted into urban areas.

show abstract

Geomorphic influences on land use/cover diversity and pattern

Wang

Cheng

2023

CATENA

View full text Add to dashboard Cite

Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya)

Cited by 6 publications

References 19 publications

Identifying Terrestrial Landscape Character Types in China

Identifying Terrestrial Landscape Character Types in China

Assessment of the impact of urbanisation on agricultural and forest areas in the coastal zone of Mostaganem (western Algeria)

Geomorphic influences on land use/cover diversity and pattern

Contact Info

Product

Resources

About