Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment
The present work aimed at the spatiotemporal analysis of Land Surface Temperature (LST)
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
[HTML][HTML] Assessment and prediction of meteorological drought using machine learning algorithms and climate data
Monitoring drought in semi-arid regions due to climate change is of paramount importance.
This study, conducted in Morocco's Upper Drâa Basin (UDB), analyzed data spanning from …
This study, conducted in Morocco's Upper Drâa Basin (UDB), analyzed data spanning from …
Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine
Urbanization is a significant global problem affecting many regions facing climate change.
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
Wetland identification through remote sensing: insights into wetness, greenness, turbidity, temperature, and changing landscapes
Wetlands are important in many ways, including hydrological cycles, ecosystem diversity,
climate change, and economic activity. Despite the Ramsar Convention's awareness …
climate change, and economic activity. Despite the Ramsar Convention's awareness …
Identification and map** of groundwater recharge zones using multi influencing factor and analytical hierarchy process
F Meng, MI Khan, SAA Naqvi, A Sarwar, F Islam… - Scientific Reports, 2024 - nature.com
The management of groundwater systems is essential for nations that rely on groundwater
as the principal source of communal water supply (eg, Mohmand District of Pakistan). The …
as the principal source of communal water supply (eg, Mohmand District of Pakistan). The …
County-level corn yield prediction using supervised machine learning
The main objectives of this study are (1) to compare several machine learning models to
predict county-level corn yield in the study area and (2) to compare the feasibility of machine …
predict county-level corn yield in the study area and (2) to compare the feasibility of machine …
Assessing access to safe drinking water in flood-affected areas of District Nowshera, Pakistan: A case study towards achieving sustainable development goal 6.1
Access to safe drinking water is one of the most vital targets of sustainable development
goal (6.1). However, climate change has become a significant challenge to safe water …
goal (6.1). However, climate change has become a significant challenge to safe water …
Exploring rangeland dynamics in Punjab, Pakistan: integrating LULC, LST, and remote sensing for ecosystem analysis (2000–2020)
ABSTRACT Rangelands, covering 40% of Earth's land surface, play a crucial role in global
ecosystem services and local livelihoods. In Punjab, Pakistan, these ecosystems face …
ecosystem services and local livelihoods. In Punjab, Pakistan, these ecosystems face …
Force and power requirement for development of cumin harvester: a dynamic approach
An experimental setup was developed for simulating the field conditions to determine the
force and power required for cutting cumin crops in dynamic conditions. The effect of cutter …
force and power required for cutting cumin crops in dynamic conditions. The effect of cutter …
[HTML][HTML] Develo** Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab
Carbon neutrality is an important goal for addressing global warming. It can be achieved by
increasing carbon storage and reducing carbon emissions. Vegetation plays a key role in …
increasing carbon storage and reducing carbon emissions. Vegetation plays a key role in …