Discrimination of Settlement and Industrial Area Using Landscape Metrics in Rural Region

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Discrimination of Settlement and Industrial Area Using Landscape Metrics in Rural Region

Detailed and precise information of land-use and land-cover (LULC) in rural area is essential for land-use planning, environment and energy management. The confusion in mapping residential and industrial areas brings problems in energy management, environmental management and sustainable land use development. However, they remain ambiguous in the former rural LULC mapping, and this insufficient...

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Assessment of the Conservation Area Network Development in Markazi Province Using Landscape Metrics

Prioritization and selection of sample areas from the whole nature is necessary to protect biodiversity. The main purpose of this study was to evaluate the development of a network of conservation areas in Markazi province using landscape metrics. For this purpose, we used MaxEnt, Marxan, Fragstat softwares and eight conservation criteria. Results were compared by using simulated sorting, greed...

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Rural Settlement Subdivision by Using Landscape Metrics as Spatial Contextual Information

Multiple policy projects have changed land use and land cover (LULC) in China’s rural regions over the past years, resulting in two types of rural settlements: new-fashioned and old-fashioned. Precise extraction of and discrimination between these two settlement types are vital for sustainable land use development. It is difficult to identify these two types via remote sensing images due to the...

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Detecting and Modelling the Trend of Change in the Forest Land Use in Garasu Watershed Area Using Landscape Metrics

Detecting, predicting and quantifying the trends of landscape pattern change in the forests of Gharasu watershed area are necessary so as to assess the crises or prevent them. To this aim, the land use maps belonging to the years 1987, 2002 and 2018 were classified through the maximum likelihood method, and the forest area changes were estimated. Then, through the Geomod model and the forest ch...

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2016

ISSN: 2072-4292

DOI: 10.3390/rs8100845