Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data
Around 350 million hectares of land are affected by wildfires every year influencing the
health of ecosystems and leaving a trail of destruction. Accurate information over burned …
health of ecosystems and leaving a trail of destruction. Accurate information over burned …
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling
Aerosols have adverse health effects and play a significant role in the climate as well. The
Multiangle Implementation of Atmospheric Correction (MAIAC) provides Aerosol Optical …
Multiangle Implementation of Atmospheric Correction (MAIAC) provides Aerosol Optical …
[图书][B] Multisensor data fusion and machine learning for environmental remote sensing
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …
understanding of interactions between natural systems and the man-made environment …
Monitoring Mangrove forest landcover changes in the coastline of Bangladesh from 1976 to 2015
This study used multi-date Landsat images to quantify mangrove cover changes in the
whole of Bangladesh from 1976 to 2015. Images were pre-processed with an atmospheric …
whole of Bangladesh from 1976 to 2015. Images were pre-processed with an atmospheric …
Sensitivity of various topographic data in flood management: Implications on inundation mapping over large data-scarce regions
Topographic data in the form of digital elevation models (DEMs) play a significant role in
flood management. Despite the increasing availability of DEMs for large regions, there is a …
flood management. Despite the increasing availability of DEMs for large regions, there is a …
Detection and analysis of drought over Turkey with remote sensing and model-based drought indices
B Khorrami, O Gündüz - Geocarto International, 2022 - Taylor & Francis
Under the severe impacts of climate change, drought has become one of the most
undesirable and complex natural phenomena with critical consequences for the …
undesirable and complex natural phenomena with critical consequences for the …
Support vector machines to map rare and endangered native plants in Pacific islands forests
It is critical to know accurately the ecological and geographic range of rare and endangered
species for biodiversity conservation and management. In this study, we used support vector …
species for biodiversity conservation and management. In this study, we used support vector …
Tracking urban expansion using random forests for the classification of landsat imagery (1986–2015) and predicting urban/built-up areas for 2025: A Study of the …
BF Frimpong, F Molkenthin - Land, 2021 - mdpi.com
Kumasi is a nodal city and functions as the administrative and economic capital of the
Ashanti region in Ghana. Rapid urbanization has been experienced inducing the …
Ashanti region in Ghana. Rapid urbanization has been experienced inducing the …
Improving the quantification of fine particulates (PM2. 5) concentrations in Malaysia using simplified and computationally efficient models
Air pollution assessment in urban and rural areas is really challenging due to high spatio-
temporal variability of aerosols and pollutants and the uncertainties in measurements and …
temporal variability of aerosols and pollutants and the uncertainties in measurements and …
[HTML][HTML] 3D lithological mapping of borehole descriptions using word embeddings
In recent years the exponential growth in digital data and the expansion of machine learning
have fostered the development of new applications in geosciences. Natural Language …
have fostered the development of new applications in geosciences. Natural Language …