Results 41 to 50 of about 6,314 (245)

Monitoring of subpixel impervious surface dynamics using seasonal time series Landsat 8 OLI imagery

Ecological Indicators, 2023
Since impervious surface is one of the core urban ecological indices, its high-precision time series monitoring at regional or global scales is highly desirable. Spectral features, spatial features, and temporal features have been successfully applied to
Lei Zhang, Ming Zhang, Qian Wang
doaj   +1 more source

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

Oikos, 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, Louis‐Philippe Beauchamp, Eric Harvey   +2 more
wiley   +1 more source

Pesticide exposure of operators during mixing and loading a drone: towards a stratified exposure assessment

Pest Management Science, EarlyView.
Operators are exposed to concentrated formulation during mixing of pesticide into the nurse tank and to an in‐use dilution during loading the drone; stratification of exposure for mixing and loading would inform the exposure assessment approach by applying the appropriate dermal absorption considerations.
Edgars Felkers, Christian J Kuster, Georg Hamacher, Thomas Anft, Maxie Kohler   +4 more
wiley   +1 more source

Using Trail Cameras to Monitor Culvert Connectivity in Wadeable Streams

River Research and Applications, EarlyView.
ABSTRACT Anthropogenic barriers in aquatic habitats have led to fragmentation and decreased fish diversity worldwide. Road crossing barriers such as culverts are a significant source of fragmentation and can impede aquatic organism passage (AOP). Many large extent efforts to inventory road crossing barriers and prioritize restoration efforts do not ...
Lesley Twiner, R. Daniel Hanks, Brandon K. Peoples   +2 more
wiley   +1 more source

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

River 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

An optimization model for the impervious surface spatial layout considering differences in hydrological unit conditions for urban waterlogging prevention in urban renewal

Ecological Indicators
The expansion of impervious surfaces during urbanization, as well as the irrationality of their spatial layout, is one of the main causes of urban waterlogging.
Juchao Zhao, Entong Ke, Bin Wang, Yaolong Zhao   +3 more
doaj   +1 more source

Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico

Remote Sensing in Ecology and Conservation, EarlyView.
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola, Sasha Hills, Simon J. Pittman, Edwin A. Hernández‐Delgado, Antoine Collin, Lisa M. Wedding   +5 more
wiley   +1 more source

Evaluation of urban heat island effects based on fine-resolution mapping of subpixel impervious surface dynamics over four cities in China

International Journal of Applied Earth Observations and Geoinformation
In the context of global urbanization, urban expansion significantly affects urban thermal environment. As a key indicator of urbanization, impervious surfaces are widely used to monitor urban growth.
Wenzhuo Liu, Lei Zhang, Tao He, Ming Zhang   +3 more
doaj   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From WorldView-2 and LiDAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
High-resolution optical imagery can provide detailed information of urban land objects for impervious surface extraction, while airborne light detection and ranging (LiDAR) data can provide height features of land objects.
Mengfan Wu, Xiangwei Zhao, Zhongchang Sun, Huadong Guo   +3 more
doaj   +1 more source