[HTML][HTML] Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using modis ndvi and machine learning

SA Anees, K Mehmood, A Rehman, NU Rehman… - Environmental and …, 2024 - Elsevier
Understanding the dynamics of Fractional Vegetation Cover (FVC) is crucial for effective
environmental monitoring and management, especially in regions like Pakistan that are …

[HTML][HTML] Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions

K Mehmood, SA Anees, A Rehman, NU Rehman… - Trees, Forests and …, 2024 - Elsevier
Elevation gradients significantly influence net primary productivity (NPP), but the relationship
between elevation, climate variables, and vegetation productivity remains underexplored …

[HTML][HTML] Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions

G Geng, Q Gu, H Zhou, B Zhang, Z He, R Zheng - Ecological Informatics, 2025 - Elsevier
Timely and reliable crop yield estimation is vital for ensuring both global and regional food
security. Previous studies have primarily used process-based crop models or statistical …

[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 …

[HTML][HTML] Improved estimation of non-photosynthetic vegetation cover using a novel multispectral slope difference index with soil information, Sentinel-1 data, and …

X Chen, Y Ding, X Zheng, C Xu, Z Wu, Q **e - Ecological Informatics, 2024 - Elsevier
Non-photosynthetic vegetation (NPV) plays a crucial role in vegetation–soil ecosystems by
influencing the dynamic uptake of carbon, water, and nutrients. The accurate estimation of …

[HTML][HTML] Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection …

E Wang, T Huang, Z Liu, L Bao, B Guo, Z Yu, Z Feng… - Remote Sensing, 2024 - mdpi.com
Estimation of forest above-ground biomass (AGB) using multi-source remote sensing data is
an important method to improve the accuracy of the estimate. However, selecting remote …

[HTML][HTML] Derivation of Allometric Equations and Carbon Content Estimation in Mangrove Forests of Malaysia

WR Khan, M Giani, S Bevilacqua, SA Anees… - Environmental and …, 2025 - Elsevier
Mangrove forests play a vital role in carbon sequestration and climate change mitigation, yet
comprehensive data on their carbon storage capacity in Malaysia remain limited. This study …

[HTML][HTML] Investigating the Spatial Pattern of White Oak (Quercus alba L.) Mortality Using Ripley's K Function Across the Ten States of the Eastern US

S Khadka, HS He, S Bardhan - Forests, 2024 - mdpi.com
White oak mortality is a significant concern in forest ecosystems due to its impact on
biodiversity and ecosystem functions. Understanding the factors influencing white oak …

[HTML][HTML] Aboveground biomass inversion of forestland in a **sha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study …

Z Liu, T Huang, Y Wu, X Zhang, C Liu, Z Yu, C Xu… - Ecological …, 2024 - Elsevier
It is crucial to develop a comprehensive method for estimating the aboveground biomass
(AGB) of trees, shrubs, grasslands, and sparse tree areas in ecologically fragile dry, hot …

Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors

SA Anees, K Mehmood, WR Khan, F Shahzad… - Earth Science …, 2025 - Springer
This study investigates the spatiotemporal dynamics of Fractional vegetation cover (FVC)
influenced by environmental changes across diverse landscapes. High-resolution …