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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 …
Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest
Abstract We used the Cellular Automata Markov (CA-Markov) integrated technique to study
land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab …
land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab …
ResMorCNN model: hyperspectral images classification using residual-injection morphological features and 3DCNN layers
Hyperspectral imagery is widely used for analyzing substances and objects, specifically
focusing on their classification. The advancement of processing capabilities and the …
focusing on their classification. The advancement of processing capabilities and the …
Machine learning algorithms for satellite image classification using Google Earth Engine and Landsat satellite data: Morocco case study
Earth observation data have proven to be a valuable resource of quantitative information
that is more consistent in time and space than traditional land-based surveys. Remote …
that is more consistent in time and space than traditional land-based surveys. Remote …
Road extraction from satellite images using attention-assisted UNet
These days, extracting information from remote sensing data has a great impact on various
aspects of our lives, such as infrastructure and urban planning, transportation and traffic …
aspects of our lives, such as infrastructure and urban planning, transportation and traffic …
[HTML][HTML] Evaluation of soil texture classification from orthodox interpolation and machine learning techniques
The current investigation examines the effectiveness of various approaches in predicting the
soil texture class (clay, silt, and sand contents) of the Rawalpindi district, Punjab province …
soil texture class (clay, silt, and sand contents) of the Rawalpindi district, Punjab province …
[HTML][HTML] Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions
Elevation gradients significantly influence net primary productivity (NPP), but the relationship
between elevation, climate variables, and vegetation productivity remains underexplored …
between elevation, climate variables, and vegetation productivity remains underexplored …
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India
The urgency to protect natural water resources in a sustainable manner has risen as water
scarcity and global climate change continue to worsen. Among various methods of collecting …
scarcity and global climate change continue to worsen. Among various methods of collecting …
Wind turbine gearbox oil temperature feature extraction and condition monitoring based on energy flow
X Bai, S Han, Z Kang, T Tao, C Pang, S Dai, Y Liu - Applied Energy, 2024 - Elsevier
Abstract Supervisory Control and Data Acquisition (SCADA) data is widely used for wind
turbine gearbox condition monitoring (WTGCM) due to its easy access and low cost, thus …
turbine gearbox condition monitoring (WTGCM) due to its easy access and low cost, thus …
Assessing climatic impacts on land use and land cover dynamics in Peshawar, Khyber Pakhtunkhwa, Pakistan: a remote sensing and GIS approach
This study investigates the land use and land cover (LULC) changes in Peshawar, Pakistan,
from 2002 to 2022, and their relationship with local climate patterns. Utilizing a combination …
from 2002 to 2022, and their relationship with local climate patterns. Utilizing a combination …