Predicting Land Use Changes in Philadelphia Following Green Infrastructure Policies
نویسندگان
چکیده
منابع مشابه
Land use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model
Analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. In this study, the land use maps in the Ardabil plain in north-west part of Iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. T...
متن کاملTransport and land-use policies in Delhi.
Current transportation policies in mega-cities worldwide lead to major threats to health through traffic injuries, air pollution, noise, reduction in physical activities, and adverse impact on urban quality of life. In addition, a large section of the population in cities in low-income countries has to live in informal-sector, substandard housing. Many transportation policies fail to take enoug...
متن کاملland use and land cover spatiotemporal dynamic pattern and predicting changes using integrated ca-markov model
analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. in this study, the land use maps in the ardabil plain in north-west part of iran for four periods (1989, 1998, 2009 and 2013) are extracted and analyzed through remote sensing technique, using the land-sat satellite images. t...
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Substantial population growth and urbanization arbitrarily banning the exploitation of natural resources and environmental factors adversely impacts the environment and resources necessary for nutrition and healthy life styles. The secret to success and survival of ecosystems depends on a stable, continuous monitoring of the environment. The SWOT model has been developedto consider all int...
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ژورنال
عنوان ژورنال: Land
سال: 2019
ISSN: 2073-445X
DOI: 10.3390/land8020028