A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
[HTML][HTML] Land use and land cover mapping in the era of big data
We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) mapping including remotely sensed satellite …
data for land use and land cover (LULC) mapping including remotely sensed satellite …
[HTML][HTML] Land use and land cover mapping using deep learning based segmentation approaches and vhr worldview-3 images
Deep learning-based segmentation of very high-resolution (VHR) satellite images is a
significant task providing valuable information for various geospatial applications …
significant task providing valuable information for various geospatial applications …
Progress in urban greenery mitigation science–assessment methodologies advanced technologies and impact on cities
Urban greenery is a natural solution to cool cities and provide comfort, clean air and
significant social, health and economic benefits. This paper aims to present the latest …
significant social, health and economic benefits. This paper aims to present the latest …
Prediction of short-term ultrafine particle exposures using real-time street-level images paired with air quality measurements
Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …
various factors. We developed prediction models for short-term UFP exposures using street …
Remote Sensing, natural hazards and the contribution of ESA Sentinels missions
D Poursanidis, N Chrysoulakis - Remote Sensing Applications: Society and …, 2017 - Elsevier
Natural hazards are phenomena with a large spatial dimension and impact. Their mapping
and monitoring can be recorded only by using satellite remote image platforms. The range of …
and monitoring can be recorded only by using satellite remote image platforms. The range of …
[HTML][HTML] Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery
The increasing availability of high resolution imagery has triggered the need for automated
image analysis techniques, with reduced human intervention and reproducible analysis …
image analysis techniques, with reduced human intervention and reproducible analysis …
[HTML][HTML] Unique bee communities within vacant lots and urban farms result from variation in surrounding urbanization intensity
FS Sivakoff, SP Prajzner, MM Gardiner - Sustainability, 2018 - mdpi.com
We investigated the relative importance of vacant lot and urban farm habitat features and
their surrounding landscape context on bee community richness, abundance, composition …
their surrounding landscape context on bee community richness, abundance, composition …
GeoDMA—Geographic data mining analyst
Remote sensing images obtained by remote sensing are a key source of data for studying
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
[HTML][HTML] Mapping roofing with asbestos-containing material by using remote sensing imagery and machine learning-based image classification: A state-of-the-art …
Building roofing produced with asbestos-containing materials is a significant concern due to
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …
its detrimental health hazard implications. Efficiently locating asbestos roofing is essential to …