Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset

M Shamsuzzoha, R Shaw, T Ahamed - Remote Sensing Applications …, 2024 - Elsevier
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) …

Shoreline change assessment in the coastal region of Bangladesh delta using tasseled cap transformation from satellite remote sensing dataset

M Shamsuzzoha, T Ahamed - Remote Sensing, 2023 - mdpi.com
Bangladesh is a global south hotspot due to climate change and sea level rise concerns. It is
a highly disaster-prone country in the world with active deltaic shorelines. The shorelines …

A review of remote sensing applications in agriculture and forestry to establish big data analytics

ST Arab, MM Islam, M Shamsuzzoha, KF Alam… - … regional perspectives in …, 2022 - Springer
The advancement of remote sensing provides a new opportunity for a data analytical
platform for robust decision-making based on near real-time datasets derived from satellites …

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 …

[HTML][HTML] Assessment of land use land cover changes for predicting vulnerable agricultural lands in river basins of Bangladesh using remote sensing and a fuzzy expert …

KF Alam, T Ahamed - Remote Sensing, 2022 - mdpi.com
The aim of this study was to assess the LULC changes over 26 years from 1995 to 2021 to
find the most changed land use conditions within the 25 km territory of the main river …

Rice yield loss area assessment from satellite-derived NDVI after extreme climatic events using a fuzzy approach

M Shamsuzzoha, R Noguchi… - Agricultural Information …, 2022 - jstage.jst.go.jp
Extreme weather events pose high risks for agricultural production and cause yield losses in
South and Southeast Asia. Tropical cyclones frequently cause significant yield losses in …

Assessment of Shoreline and Agricultural Land Use Changes in the Onshore Coastal Region of Bangladesh Delta Using Satellite Remote Sensing and GIS

M Shamsuzzoha, T Ahamed - Remote Sensing Application II: A Climate …, 2024 - Springer
Bangladesh is a global south hotspot due to climate change and sea level rise concerns. It is
a highly disaster-prone country in the world with active deltaic shorelines. The shorelines …

Evaluating geomorphological changes and coastal flood vulnerability of the Nijhum Dwip Island using remote sensing techniques

MA Hasan, AN Mayeesha, MZA Razzak - Remote Sensing Applications …, 2023 - Elsevier
This research critically assesses the spatiotemporal changes in morphology of the Nijhum
Dwip Island caused by the dynamic wave action of the Bay of Bengal. Using image analysis …

Delineation of groundwater potential zones using geospatial and MCDM approaches in urban areas of Anantapur District, AP, India

BN Anusha, BP Kumar, M Rajasekhar, KR Babu - Urban Climate, 2022 - Elsevier
One of the most important practises for the long-term management of groundwater resources
is the delineation of groundwater potential zones. Prospecting for groundwater with sufficient …

Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR

S Mansour, M Alahmadi, S Darby, J Leyland… - International journal of …, 2023 - Elsevier
Tropical cyclones are a highly destructive natural hazard that can cause extensive damage
to assets and loss of life. This is especially true for the many coastal cities and communities …