A review of landcover classification with very-high resolution remotely sensed optical images—Analysis unit, model scalability and transferability
As an important application in remote sensing, landcover classification remains one of the
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …
[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
and the ecosystem services people rely on. This is why it is necessary to track and monitor …
[HTML][HTML] Global building morphology indicators
F Biljecki, YS Chow - Computers, Environment and Urban Systems, 2022 - Elsevier
Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …
environmental analyses, and many other domains. As the availability and quality of data on …
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities
Abstract Knowledge of building height is critical for understanding the urban development
process. High-resolution optical satellite images can provide fine spatial details within urban …
process. High-resolution optical satellite images can provide fine spatial details within urban …
[HTML][HTML] Enabling country-scale land cover map** with meter-resolution satellite imagery
High-resolution satellite images can provide abundant, detailed spatial information for land
cover classification, which is particularly important for studying the complicated built …
cover classification, which is particularly important for studying the complicated built …
[HTML][HTML] Global trends and local variations in land take per person
Globally, urban areas are growing at a faster rate than their population, potentially reducing
environmental sustainability due to undesirable land take in (semi) natural and agricultural …
environmental sustainability due to undesirable land take in (semi) natural and agricultural …
[HTML][HTML] 3D building reconstruction from single street view images using deep learning
Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …
built environment, but their acquisition remains complex and topical. Approaches to …
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
This study presents two machine learning models, namely, the light gradient boosting
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …
[HTML][HTML] Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020
X Meng, X Gao, S Li, S Li, J Lei - Ecological indicators, 2021 - Elsevier
Desertification is one of the most serious ecological and environmental problems in arid
regions. Low-cost, wide-ranging, and high-precision methods are essential for the …
regions. Low-cost, wide-ranging, and high-precision methods are essential for the …
Assessing the scale effect of urban vertical patterns on urban waterlogging: An empirical study in Shenzhen
Y Huang, J Lin, X He, Z Lin, Z Wu, X Zhang - … Impact Assessment Review, 2024 - Elsevier
Waterlogging disasters seriously affect residents' lives. Investigating the factors affecting
waterlogging is crucial for mitigating waterlogging. Although waterlogging is closely related …
waterlogging is crucial for mitigating waterlogging. Although waterlogging is closely related …