[HTML][HTML] Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the …
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …
resource management, carbon accounting, and conservation efforts. This study examines …
[HTML][HTML] Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using modis ndvi and machine learning
Understanding the dynamics of Fractional Vegetation Cover (FVC) is crucial for effective
environmental monitoring and management, especially in regions like Pakistan that are …
environmental monitoring and management, especially in regions like Pakistan that are …
Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data
K Hussain, K Mehmood, SA Anees, Z Ding… - Heliyon, 2024 - cell.com
The increasing pressures of urban development and agricultural expansion have significant
implications for land use and land cover (LULC) dynamics, particularly in ecologically …
implications for land use and land cover (LULC) dynamics, particularly in ecologically …
Comparing machine learning algorithms to predict vegetation fire detections in Pakistan
Vegetation fires have major impacts on the ecosystem and present a significant threat to
human life. Vegetation fires consists of forest fires, cropland fires, and other vegetation fires …
human life. Vegetation fires consists of forest fires, cropland fires, and other vegetation fires …
[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 …
[HTML][HTML] Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience
Understanding the intricate relationship between climate variables and the Normalized
Difference Vegetation Index (NDVI) is essential for effective ecosystem management. This …
Difference Vegetation Index (NDVI) is essential for effective ecosystem management. This …
[HTML][HTML] Assessing Chilgoza Pine (Pinus Gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management …
K Mehmood, SA Anees, M Luo, M Akram… - Trees, Forests and …, 2024 - Elsevier
Forest fires represent a critical global threat to both humans and ecosystems. This study
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …
[HTML][HTML] Spatiotemporal analysis of surface Urban Heat Island intensity and the role of vegetation in six major Pakistani cities
SA Anees, K Mehmood, SIH Raza, S Pfautsch… - Ecological …, 2025 - Elsevier
Abstract The Urban Heat Island (UHI) phenomenon exacerbates thermal discomfort in urban
areas and significantly contributes to urban overheating when combined with climate …
areas and significantly contributes to urban overheating when combined with climate …
Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors
This study investigates the spatiotemporal dynamics of Fractional vegetation cover (FVC)
influenced by environmental changes across diverse landscapes. High-resolution …
influenced by environmental changes across diverse landscapes. High-resolution …
Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables
This study assesses the relationships between vegetation dynamics and climatic variations
in Pakistan from 2000 to 2023. Employing high-resolution Landsat data for Normalized …
in Pakistan from 2000 to 2023. Employing high-resolution Landsat data for Normalized …