Results 41 to 50 of about 7,458 (261)

A Novel Urban Composition Index Based on Water-Impervious Surface-Pervious Surface (W-I-P) Model for Urban Compositions Mapping Using Landsat Imagery

open access: yes, 2020
Monitoring urban compositions spatially and temporally is a crucial issue for urban planning and management. Nowadays, remote sensing techniques have been widely applied for urban compositions extraction.
Qingwei Liu, Lihao Zhang, Yugang Tian
core   +1 more source

Expansion of Urban Impervious Surfaces in Xining City Based on GEE and Landsat Time Series Data

open access: yesIEEE Access, 2020
Urban expansion is often studied in large cities such as Beijing, Shanghai, and Guangzhou, while scant attention is paid to smaller cities such as Xining.
Xiaomin Cao   +3 more
doaj   +1 more source

Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network

open access: yesInternational Journal of Digital Earth
Monitoring the spatiotemporal distribution of urban impervious surface is an essential indication for measuring the urbanization process. Optical and synthetic aperture radar (SAR) images are key data sources in urban impervious surface extraction ...
Songjing Guo   +4 more
doaj   +1 more source

SSUIS: a research model for predicting suspended solids loads in stormwater runoff from urban impervious surfaces

open access: yes, 2012
Suspended solids from urban impervious surfaces (SSUIS) is a spreadsheet-based model that predicts the mass loading of suspended solids (SS) in stormwater runoff generated from impervious urban surfaces.
Brodie, Ian M.
core   +1 more source

Legacy effects of redlining on the distribution of greenspaces in US cities

open access: yesFrontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo   +4 more
wiley   +1 more source

Coal Mining as a Driver of Land Use and Land Cover Change and Degradation: A Case in Moatize City, Mozambique

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite   +2 more
wiley   +1 more source

Urban‐driven homogenization of aquatic subsidy size structure cascades to riparian predator communities

open access: yesOikos, EarlyView.
The export of emergent aquatic insects is a critical energy subsidy for terrestrial food webs. While urbanization is known to alter stream communities, its effects on the size structure of these insect subsidies and the subsequent consequences for riparian predators remain poorly understood.
Charles Gagnon   +2 more
wiley   +1 more source

Is Urbanization Good for the Climate? A Cross-County Analysis of Impervious Surface, Affluence, and the Carbon Intensity of Well-Being

open access: yesSocius, 2020
We contribute to literature exploring the socioecological impact of urban development as a multidimensional project, one in which changes to landscape features complement changes in demographic and administrative measures to co-constitute the ...
Patrick Trent Greiner   +2 more
doaj   +1 more source

The application of remote sensing to identify and measure sealed soil and vegetated surfaces in urban environments [PDF]

open access: yes, 2010
Soil is an important non-renewable source. Its protection and allocation is critical to sustainable development goals. Urban development presents an important drive of soil loss due to sealing over by buildings, pavements and transport infrastructure.
Kampouraki, Maria
core  

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

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