Assessing tropical cyclone risk for improving mitigation strategies in Coastal Odisha, India
Tropical cyclone causes large-scale devastation and destruction in the coastal plains of
India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical …
India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical …
Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset
Tropical cyclones strike massive devastation of agricultural crops in South Asian countries
practically every year. For assessing impacts on primary land use and land cover (LULC) …
practically every year. For assessing impacts on primary land use and land cover (LULC) …
Assessment of cyclone risk and case study of Gaja cyclone using GIS techniques and machine learning algorithms in coastal zone of Tamil Nadu, India
Cyclones can cause devastating impacts, including strong winds, heavy rainfall, storm
surges, and flooding. The aftermath includes infrastructure damage, loss of life …
surges, and flooding. The aftermath includes infrastructure damage, loss of life …
Application of Introducing Damaged Area Index for Cultivated Agricultural Lands Affected by Recurrent Tropical Cyclones Bulbul and Amphan Using Satellite Remote …
M Shamsuzzoha, T Ahamed - Remote Sensing Application II: A Climate …, 2024 - Springer
Abstract South and Southeast Asian countries are prone to cyclones throughout the year
due to climate changes. The damage is also severe due to tidal surges and intrusion of …
due to climate changes. The damage is also severe due to tidal surges and intrusion of …
Assessing Impact of Super Cyclone Amphan on Natural Vegetation in Sundarban Biosphere Reserve, India
Cyclones, floods, and storm surges threaten the fragile Sundarban Biosphere Reserve of
India. Super cyclone Amphan on 20 May 2020, devastated Indian Sundarban. Using support …
India. Super cyclone Amphan on 20 May 2020, devastated Indian Sundarban. Using support …
Development of a Deep Neural Network (DNN) Model for Feature Selection from Satellite Images
Advances in space-based observation, using remotely sensed data, has proved to be an
important tool to monitor the globe, including the areas inaccessible to humans. The …
important tool to monitor the globe, including the areas inaccessible to humans. The …