Deep learning techniques in extreme weather events: A review
Extreme weather events pose significant challenges, thereby demanding techniques for
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …
The superiority of the Adjusted Normalized Difference Snow Index (ANDSI) for mapping glaciers using Sentinel-2 multispectral satellite imagery
Accurate monitoring of glaciers' extents and their dynamics is essential for improving our
understanding of the impacts of climate and environmental changes in cold regions. The …
understanding of the impacts of climate and environmental changes in cold regions. The …
Deep learning in the mapping of agricultural land use using Sentinel-2 satellite data
Continuous observation and management of agriculture are essential to estimate crop yield
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …
Ore-waste discrimination using supervised and unsupervised classification of hyperspectral images
M Abdolmaleki, M Consens, K Esmaeili - Remote Sensing, 2022 - mdpi.com
Ore and waste discrimination is essential for optimizing exploitation and minimizing ore
dilution in a mining operation. The conventional ore/waste discrimination approach relies on …
dilution in a mining operation. The conventional ore/waste discrimination approach relies on …
Historical and projected evolutions of glaciers in response to climate change in High Mountain Asia
L Yang, G Zhao, X Mu, Y Liu, P Tian - Environmental Research, 2023 - Elsevier
Glacier changes are regarded as the conspicuous icon of climate change in High Mountain
Asia (HMA) alpine environments. Multi-temporal glacier coverage is essential for mass …
Asia (HMA) alpine environments. Multi-temporal glacier coverage is essential for mass …
[HTML][HTML] Application of Artificial Intelligence in Glacier Studies: A State-of-the-Art Review
S Nurakynov, A Merekeyev, Z Baygurin, N Sydyk… - Water, 2024 - mdpi.com
Assessing glaciers using recent and historical data and predicting the future impacts on
them due to climate change are crucial for understanding global glacier mass balance …
them due to climate change are crucial for understanding global glacier mass balance …
Modeling permafrost distribution using geoinformatics in the Alaknanda Valley, Uttarakhand, India
The Indian Himalayan region is experiencing frequent hazards and disasters related to
permafrost. However, research on permafrost in this region has received very little or no …
permafrost. However, research on permafrost in this region has received very little or no …
Analyzing trend and forecasting of temperature and rainfall in Shimla district of Himachal Pradesh, India using non-parametric and bagging REPTree machine …
The changing pattern of climate variables has caused extreme weather events and severe
disasters, especially in mountainous regions. Such events have a detrimental impact on …
disasters, especially in mountainous regions. Such events have a detrimental impact on …
[HTML][HTML] Exploring potential glacial lakes using geo-spatial techniques in Eastern Hindu Kush Region, Pakistan
M Sarwar, S Mahmood - Natural Hazards Research, 2024 - Elsevier
The study aimed to investigate the potential glacial lakes in response to climate change and
the associated risk of glacial lake outburst floods (GLOFs). Remote sensing data and GIS …
the associated risk of glacial lake outburst floods (GLOFs). Remote sensing data and GIS …
An integrated deep learning and object-based image analysis approach for mapping debris-covered glaciers
Evaluating glacial change and the subsequent water stores in high mountains is becoming
increasingly necessary, and in order to do this, models need reliable and consistent glacier …
increasingly necessary, and in order to do this, models need reliable and consistent glacier …