Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hoque, MAA"'
Globally, the frequency, intensity, and damage rate of floods have increased extensively in the last few decades. The present study proposes a spatial-based multi-criteria approach integrating mitigation capacity to map the degree of flood risk. Floo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::c186aad634dc00e85dd2fcd3634b2c5a
https://hdl.handle.net/10453/168491
https://hdl.handle.net/10453/168491
Floods are considered one of the most destructive natural hydro-meteorological disasters across the world. The present study attempts to assess flood susceptibility of the Brahmaputra floodplain of Bangladesh using Deep Boost, Deep Learning Neural Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::f894defc7f91d5969958e677fe405ae0
https://hdl.handle.net/10453/171082
https://hdl.handle.net/10453/171082
Groundwater is one of the most dynamic and renewable natural resources found in the earth’s crust. A spatio-temporal assessment of groundwater potential zone (GWPZ) incorporating different seasons is essential to generate detailed information of gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::66c93530b1178f3aa7919e02f9470693
https://hdl.handle.net/10453/154789
https://hdl.handle.net/10453/154789
© 2019 Elsevier B.V. Drought is a damaging and costly natural disaster that frequently affects many climatic regions in the world. A multi-criteria-based approach for integrated spatial drought vulnerability mapping that combines all drought categor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::1c1d1fe77529c27bed0d01ce23b04d11
https://hdl.handle.net/10453/139931
https://hdl.handle.net/10453/139931
© 2019 Elsevier Ltd The eastern coastal region of Bangladesh, which has a 377 km-long coastline, is highly vulnerable to multi-hazardous events, such as tropical cyclones, coastal floods, coastal erosion and salinity intrusion. The vulnerability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::96d68a13403043f28c2dc0aa3b09f2af
https://hdl.handle.net/10453/135869
https://hdl.handle.net/10453/135869
© 2019 Elsevier B.V. Tropical cyclones frequently affect millions of people, damaging properties, livelihoods and environments in the coastal region of Bangladesh. The intensity and extent of tropical cyclones and their impacts are likely to increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::646316f14b38ba44c8b9886f99d5be39
https://hdl.handle.net/10453/139282
https://hdl.handle.net/10453/139282
© 2018 Elsevier Ltd Tropical cyclones are one of the most catastrophic natural disasters, regularly affecting coastal areas across the world. The intensity and extent of impacts by these disasters have remained very high throughout history. An appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::ebd82bce617a7d0a14e7125489862d65
https://hdl.handle.net/10453/132874
https://hdl.handle.net/10453/132874
Tropical cyclones are among the most dangerous and devastating natural disasters affecting life, property and environment. The use of remote sensing and spatial analysis has significantly increased to manage the on-ground impacts of these disasters w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::2be56373d9a958669f18504178658064
https://hdl.handle.net/10453/162235
https://hdl.handle.net/10453/162235
Tropical cyclones and their often devastating impacts are common in many coastal areas across the world. Many techniques and dataset have been designed to gather information helping to manage natural disasters using satellite remote sensing and spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::3b0344978a9a87bd555c8d0e1e5aad0b
https://hdl.handle.net/10453/161845
https://hdl.handle.net/10453/161845