Resources
Displaying 1351 - 1355 of 2258A Deep Neural Networks Approach for Augmenting Samples of Land Cover Classification
Land cover is one of key indicators for modeling ecological, environmental, and climatic processes, which changes frequently due to natural factors and anthropogenic activities. The changes demand various samples for updating land cover maps, although in reality the number of samples is always insufficient. Sample augment methods can fill this gap, but these methods still face difficulties, especially for high-resolution remote sensing data.
Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China
Chinese croplands have changed considerably over the past decades, but their impacts on the environment remain underexplored. Meanwhile, understanding the contributions of human activities to vegetation greenness has been attracting more attention but still needs to be improved. To address both issues, this study explored vegetation greening and its relationships with Chinese cropland changes and climate. Greenness trends were first identified from the normalized difference vegetation index and leaf area index from 1982–2015 using three trend detection algorithms.
Mapping Landscape Potential for Supporting Green Infrastructure: The Case of a Watershed in Turkey
Green infrastructure (GI) is a strategic planning approach that can contribute to solutions for ecological, social, and environmental problems. GI also aims to conserve natural and semi-natural landscapes and enhance ecological networks. Within the scope of spatial planning, urban and rural landscape units can be integrated through GI planning. In this study, we propose a method to calculate the landscape potential and map GI in the lower Büyük Menderes River Basin, Turkey.
New Indicators of Spatial Chaos in the Context of the Need for Retrofitting Suburbs
The article is dedicated to the phenomenon of spatial chaos in the suburban areas of Polish cities, which, due to uncontrolled scattering of buildings (urban sprawl), require urgent retrofitting. These activities should contribute to the gradual densification of buildings and the more frequent functioning of suburbanites in the local environment, close to the place of residence.
A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience
During the last decade, the concept of urban resilience has been increasingly implemented in urban planning, with the main aim to design urban development strategies. Urban resilience is a multi-dimensional and dynamic concept. When applied to urban planning, it consists of studying cities as complex socio-economic systems. Municipalities are currently working to undertake appropriate actions to enrich the resilience of cities. Moreover, several difficulties concern the evaluation of the impacts over time of the strategies designed to enhance urban resilience.