SBAS-InSAR based validated landslide susceptibility map** along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
Deep learning and machine learning models for landslide susceptibility map** with remote sensing data
Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …
and China that holds socio-economic and strategic significance. However, KKH has extreme …
PS-InSAR-based validated landslide susceptibility map** along Karakorum Highway, Pakistan
Landslide classification and identification along Karakorum Highway (KKH) is still
challenging due to constraints of proposed approaches, harsh environment, detail analysis …
challenging due to constraints of proposed approaches, harsh environment, detail analysis …
Integrated spatial analysis of forest fire susceptibility in the Indian western himalayas (IWH) using remote sensing and GIS-based fuzzy AHP approach
Forest fires have significant impacts on economies, cultures, and ecologies worldwide.
Develo** predictive models for forest fire probability is crucial for preventing and …
Develo** predictive models for forest fire probability is crucial for preventing and …
Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery
Q Wang, C Xu, J Xu - Transactions in GIS, 2024 - Wiley Online Library
The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai‐
Tibet Plateau in China, are characterized by intense tectonic activity and widespread …
Tibet Plateau in China, are characterized by intense tectonic activity and widespread …
The generative adversarial neural network with multi-layers stack ensemble hybrid model for landslide prediction in case of training sample imbalance
Abstract Gilgit-Baltistan, Pakistan, is particularly susceptible to landslides due to various
geological, tectonics, meteorological, and anthropogenic factors consequently. However, the …
geological, tectonics, meteorological, and anthropogenic factors consequently. However, the …
Landslide Detection and Map** using Remote Sensing U-Net Model In Leh-Ladakh Region
G Kour, N Rathour - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
Landslides pose significant risks to communities and infrastructure, making detection,
monitoring, and prediction crucial for effective risk management. Remote sensing …
monitoring, and prediction crucial for effective risk management. Remote sensing …
SUSCETIBILIDADE A DESLIZAMENTOS PELO MÉTODO ESTATÍSTICO BIVARIADO NA BACIA HIDROGRÁFICA DO RIACHO DO SILVA, MACEIÓ, ALAGOAS …
WM Gama, NA de Melo Falcão - Revista Contexto Geográfico, 2023 - seer.ufal.br
A cartografia de deslizamento, a partir do método estatístico bivariado, é a peça
fundamental para medidas de prevenção de danos materiais e perdas de vidas na bacia …
fundamental para medidas de prevenção de danos materiais e perdas de vidas na bacia …
[CITATION][C] Susceptibilidad de remociones en masa en las comunas de Concepción, Chiguayante y Hualqui. Región del Biobío, Chile.
FA Baltierra Suazo - 2023 - Universidad de Concepción