The shadow effect on surface biophysical variables derived from remote sensing: a review

SK Alavipanah, M Karimi Firozjaei, A Sedighi… - Land, 2022 - mdpi.com
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …

When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

MM Kuglitsch, A Albayrak, J Luterbacher… - Environmental …, 2023 - iopscience.iop.org
Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-
based models in the field of disaster risk reduction (DRR) contributing to tools such as …

Reliability and consistency assessment of land cover products at macro and local scales in typical cities

W Shi, X Zhao, J Zhao, S Zhao, Y Guo… - … Journal of Digital …, 2023 - Taylor & Francis
Urban areas have higher heterogeneity compared to natural areas, it is crucial to assess fine-
resolution land cover products and discover how they differ in urban areas so that they can …

[HTML][HTML] Urban feature shadow extraction based on high-resolution satellite remote sensing images

L Shi, Y Zhao - Alexandria Engineering Journal, 2023 - Elsevier
With the continuous increase in the resolution of high-resolution remote sensing satellite
images, shadows have increasingly impacted feature target recognition and classification in …

Detection of waste plastics in the environment: application of copernicus earth observation data

S Lavender - Remote Sensing, 2022 - mdpi.com
The detection of waste plastics in the marine and terrestrial environment using satellite Earth
Observation data offers the possibility of large-scale mapping and reducing on-the-ground …

Clustering feature constraint multiscale attention network for shadow extraction from remote sensing images

Y Xie, D Feng, X Shen, Y Liu, J Zhu… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Shadow extraction is an important and challenging task in remote sensing image analysis
because the presence of shadows not only reduces radiation information but also affects the …

The use of deep learning methods for object height estimation in high resolution satellite images

S Glinka, J Bajer, D Wierzbicki, K Karwowska… - Sensors, 2023 - mdpi.com
Processing single high-resolution satellite images may provide a lot of important information
about the urban landscape or other applications related to the inventory of high-altitude …

Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery

J Som-ard, M Immitzer, F Vuolo, C Atzberger - Precision Agriculture, 2024 - Springer
Timely and accurate estimates of sugarcane yield provide valuable information for food
management, bio-energy production,(inter) national trade, industry planning and …

Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

N Ndou, KH Thamaga, Y Mndela, A Nyamugama - Agriculture, 2023 - mdpi.com
Crop characterization is considered a prerequisite to devising effective strategies for
ensuring successful implementation of sustainable agricultural management strategies. As …

SUNDIAL: 3D Satellite Understanding through Direct Ambient and Complex Lighting Decomposition

N Behari, A Dave, K Tiwary… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract 3D modeling from satellite imagery is essential in areas of environmental science
urban planning agriculture and disaster response. However traditional 3D modeling …