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 …

Climate-adaptive potential crops selection in vulnerable agricultural lands adjacent to the Jamuna River basin of Bangladesh using remote sensing and a fuzzy expert …

KF Alam, T Ahamed - Remote Sensing, 2023 - mdpi.com
Agricultural crop production was affected worldwide due to the variability of weather causing
floods or droughts. In climate change impacts, flood becomes the most devastating in deltaic …

[HTML][HTML] Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

V Tiwari, MG Tulbure, J Caineta, MD Gaines… - Journal of …, 2024 - Elsevier
High-resolution mapping of rice fields is crucial for understanding and managing rice
cultivation in countries like Bangladesh, particularly in the face of climate change. Rice is a …

Temporal and spatial change in vegetation and its interaction with climate change in Argentina from 1982 to 2015

Q Long, F Wang, W Ge, F Jiao, J Han, H Chen… - Remote Sensing, 2023 - mdpi.com
Studying vegetation change and its interaction with climate change is essential for regional
ecological protection. Previous studies have demonstrated the impact of climate change on …

Rice yield prediction model using normalized vegetation and water indices from Sentinel-2A satellite imagery datasets

AM Htun, M Shamsuzzoha, T Ahamed - Asia-Pacific Journal of Regional …, 2023 - Springer
Yield predictions prior to harvesting crops is significant for agricultural decision-making. This
study aimed to predict rice yield at the stage prior to harvesting using crops and soil …

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) …

Remote sensing-based paddy yield estimation using physical and FCNN deep learning models in Gilan province, Iran

E Asmar, MH Vahidnia, M Rezaei, E Amiri - Remote Sensing Applications …, 2024 - Elsevier
The intertwined relationships between agriculture, the environment, and society have
ushered in fresh challenges for rice cultivation in Iran, encompassing issues like water …

[HTML][HTML] Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?

SYY Jewan, A Singh, L Billa, D Sparkes, E Murchie… - Horticulturae, 2024 - mdpi.com
The objective of this research was to assess the feasibility of remote sensing (RS)
technology, specifically an unmanned aerial system (UAS), to estimate Bambara groundnut …

Application of Remote Sensing in the Analysis of Climate Extremes Due to Global Climate Change

KF Alam, M Shamsuzzoha, ST Arab… - … Sensing Application II: A …, 2024 - Springer
In this chapter, several remote sensing applications involving different analytical approaches
are illustrated to assess the resulting vulnerability and impacts of climate extremes such as …

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 …