Kaleem Mehmood
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View article: From Trends to Drivers: Vegetation Degradation and Land-Use Change in Babil and Al-Qadisiyah, Iraq (2000–2023)
From Trends to Drivers: Vegetation Degradation and Land-Use Change in Babil and Al-Qadisiyah, Iraq (2000–2023) Open
Land degradation in Iraq’s Mesopotamian plain threatens food security and rural livelihoods, yet the relative roles of climatic water deficits versus anthropogenic pressures remain poorly attributed in space. We test the hypothesis that mu…
View article: Advancing forest fire burn severity and vegetation recovery assessments using remote sensing and machine learning approaches
Advancing forest fire burn severity and vegetation recovery assessments using remote sensing and machine learning approaches Open
View article: Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023
Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023 Open
This study provides a detailed spatiotemporal analysis of vegetation health in Southern Thailand from 2000 to 2023, focusing on the impacts of temperature and water stress on vegetation degradation. Using high-resolution Landsat-derived ke…
View article: Evaluating biomass and carbon stock responses to thinning and pruning in mature Larix principis-rupprechtii Mayr stands: a case study from Northern China
Evaluating biomass and carbon stock responses to thinning and pruning in mature Larix principis-rupprechtii Mayr stands: a case study from Northern China Open
Forestry management practices, such as thinning and pruning, significantly influence biomass accumulation and carbon sequestration, which are critical for climate change mitigation. This study examines the impact of thinning and pruning in…
View article: Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China
Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China Open
Estimating above-ground biomass (AGB) is important for ecological assessment, carbon stock evaluation, and forest management. This research assesses the performance of the machine learning algorithms XGBoost, SVM, and RF using data from th…
View article: Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques
Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques Open
Sub-watershed prioritization using morphometric analysis and multi-criteria decision-making (MCDM) techniques is a systematic approach to identifying and ranking sub-watersheds based on their susceptibility to soil erosion. This helps in i…
View article: Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project
Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project Open
This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an …
View article: Derivation of allometric equations and carbon content estimation in mangrove forests of Malaysia
Derivation of allometric equations and carbon content estimation in mangrove forests of Malaysia Open
View article: Retraction notice to “Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data” [Heliyon 10 (2024) e34710]
Retraction notice to “Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data” [Heliyon 10 (2024) e34710] Open
[This retracts the article DOI: 10.1016/j.heliyon.2024.e34710.].
View article: Spatiotemporal analysis of surface Urban Heat Island intensity and the role of vegetation in six major Pakistani cities
Spatiotemporal analysis of surface Urban Heat Island intensity and the role of vegetation in six major Pakistani cities Open
The Urban Heat Island (UHI) phenomenon exacerbates thermal discomfort in urban areas and significantly contributes to urban overheating when combined with climate change. This study investigates the spatiotemporal patterns of Surface Urban…
View article: Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning
Unveiling fractional vegetation cover dynamics: A spatiotemporal analysis using MODIS NDVI and machine learning Open
Understanding the dynamics of Fractional Vegetation Cover (FVC) is crucial for effective environmental monitoring and management, especially in regions like Pakistan that are sensitive to climate change. This study employs an innovative ap…
View article: Temporal variations in burn severity among various vegetation layers in subtropical Pinus Roxburghii (Chir Pine) forest of Hindu Kush mountain range
Temporal variations in burn severity among various vegetation layers in subtropical Pinus Roxburghii (Chir Pine) forest of Hindu Kush mountain range Open
The Sub-tropical forests of Pinus roxburghii (chir pine) provide various ecosystem services and act as watershed for low lying regions. However, this species is prone to human induced fire primarily due to local communities' dependence for…
View article: Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions
Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions Open
Elevation gradients significantly influence net primary productivity (NPP), but the relationship between elevation, climate variables, and vegetation productivity remains underexplored, particularly in diverse ecological zones. This study …
View article: Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region Open
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient resource management, carbon accounting, and conservation efforts. This study examines the relationship between predictors from Landsat-9 remote sens…
View article: RETRACTED: Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data
RETRACTED: Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data Open
View article: Comparing machine learning algorithms to predict vegetation fire detections in Pakistan
Comparing machine learning algorithms to predict vegetation fire detections in Pakistan Open
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 in this study. Currently, there is a limited amount …
View article: Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables
Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables Open
This study assesses the relationships between vegetation dynamics and climatic variations in Pakistan from 2000 to 2023. Employing high-resolution Landsat data for Normalized Difference Vegetation Index (NDVI) assessments, integrated with …
View article: Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach
Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach Open
The study examines the complex dynamics of changes in LULC over three decades, focused on the years 1992, 2002, 2012, and 2022. The research highlights the significance of comprehending these alterations within the framework of environment…
View article: Assessing the Productivity of the Matang Mangrove Forest Reserve: Review of One of the Best-Managed Mangrove Forests
Assessing the Productivity of the Matang Mangrove Forest Reserve: Review of One of the Best-Managed Mangrove Forests Open
Mangrove ecosystems are crucial for biodiversity and coastal protection but face threats from climate change and human activities. This review assesses the productivity of the Matang Mangrove Forest Reserve (MMFR) in Malaysia, which is rec…
View article: The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory
The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory Open
Introduction This study delves into the spatiotemporal dynamics of land use and land cover (LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to forecast future scenarios from 2031 to 2051. The intent is to …
View article: Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies Open
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 advanced remote sensing techniques comprising Normalized…
View article: Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience
Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience Open
Understanding the intricate relationship between climate variables and the Normalized Difference Vegetation Index (NDVI) is essential for effective ecosystem management. This study focuses on the spatiotemporal dynamics of NDVI and its int…
View article: The stoichiometric characteristics and the relationship with hydraulic and morphological traits of the Faxon fir in the subalpine coniferous forest of Southwest China
The stoichiometric characteristics and the relationship with hydraulic and morphological traits of the Faxon fir in the subalpine coniferous forest of Southwest China Open
High-altitude mountain plants are at risk of extinction due to global warming. Our study examined the stoichiometric characteristics of high-altitude plants in response to a progressively warming climate, as well as exploring potential rel…
View article: Employing Machine Learning Model for Forest Fire Vulnerability Assessment in Sub Tropical Pine Forest
Employing Machine Learning Model for Forest Fire Vulnerability Assessment in Sub Tropical Pine Forest Open
View article: Analysing Lulc Transformations: Insights from a Multilayer Perceptron Neural Network Approach
Analysing Lulc Transformations: Insights from a Multilayer Perceptron Neural Network Approach Open