[HTML][HTML] Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques
BE Taiwo, AA Kafy, AA Samuel, ZA Rahaman… - Environmental and …, 2023 - Elsevier
Abstract The Federal University of Technology at Akure (FUTA) in Nigeria is experiencing
ongoing development that is leading to the replacement of agricultural and forestry land …
ongoing development that is leading to the replacement of agricultural and forestry land …
[HTML][HTML] Remote sensing-derived land surface temperature trends over South Asia
Spatiotemporal changes in land surface temperature (LST) over South Asia were estimated
using MODIS (moderate resolution imaging spectroradiometer) data from 2000 to 2021. We …
using MODIS (moderate resolution imaging spectroradiometer) data from 2000 to 2021. We …
Predicting long term regional drought pattern in Northeast India using advanced statistical technique and wavelet-machine learning approach
Shahfahad, S Talukdar, B Ghose, ARMT Islam… - Modeling Earth Systems …, 2024 - Springer
Understanding drought and its multifaceted challenges is crucial for safeguarding food
security, promoting environmental sustainability, and fostering socio-economic well-being …
security, promoting environmental sustainability, and fostering socio-economic well-being …
Modeling of impact assessment of super cyclone Amphan with machine learning algorithms in Sundarban Biosphere Reserve, India
Coastal areas play an important role in the global food and economic system, but are
vulnerable to a number of coastal hazards such as cyclones and storm surges. The …
vulnerable to a number of coastal hazards such as cyclones and storm surges. The …
Estimation of drought trends and comparison between SPI and SPEI with prediction using machine learning models in Rangpur, Bangladesh
ML Akter, MN Rahman, SA Azim… - Geology, Ecology …, 2023 - Taylor & Francis
This study investigates drought trends, SPI-SPEI comparisons, and predictions in Rangpur,
Bangladesh, from 1979 to 2020. We employed Modified Mann-Kendall for trend analysis …
Bangladesh, from 1979 to 2020. We employed Modified Mann-Kendall for trend analysis …
Assessing livelihood vulnerability to climate variability in the Himalayan region: a district-level analysis of Jammu Province, India
Managing climate change-induced impacts on livelihoods in the Himalayan belt is a
challenging task. This is because livelihoods are highly vulnerable to climate change and …
challenging task. This is because livelihoods are highly vulnerable to climate change and …
Application of hybrid ANN techniques for drought forecasting in the semi-arid region of India
The intensity and frequency of diverse hydro-meteorological disasters viz., extreme
droughts, severe floods, and cyclones have increasing trends due to unsustainable …
droughts, severe floods, and cyclones have increasing trends due to unsustainable …
Groundwater drought risk assessment in the semi-arid Kansai River basin, West Bengal, India using SWAT and machine learning models
Increasing concerns over groundwater drought risks, which threaten water availability and
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
adversely impact ecosystems, agriculture, and human activities, underscore the necessity of …
[HTML][HTML] Monitoring invasive pines using remote sensing: a case study from Sri Lanka
W Nandasena, L Brabyn… - Environmental Monitoring …, 2023 - Springer
Production plantation forestry has many economic benefits but can also have negative
environmental impacts such as the spreading of invasive pines to native forest habitats …
environmental impacts such as the spreading of invasive pines to native forest habitats …
Correlation analysis of different optical remote sensing indices for drought monitoring: a case study of Canton Sarajevo, Bosnia and Herzegovina
Droughts are second to hurricanes the world's most costly weather events. Damage caused
by droughts in certain countries is measured in tens of billions of dollars per year. Timely …
by droughts in certain countries is measured in tens of billions of dollars per year. Timely …