ArticleScientific reports2024
Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Hyperspectral imaging-based early stress and disease detection for sustainable crop management.Planta · 2026Review
- Effects of climate change and anthropogenic activities on vegetation coverage changes in the Taihang Mountains, China.Scientific reports · 2026Article
- Two decades of climate cropping patterns and groundwater change in semi-arid northwestern India.Scientific reports · 2026Article
- Uncovering the spatio-temporal patterns and drivers of 30 years of greening in South UK landscapes.Landscape ecology · 2026Article
- Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study From Langtang National Park, Nepal Himalaya.Ecology and evolution · 2026Article
- Vegetation dynamics and associated driving mechanisms in the water source area of the central route of the South-to-North Water Diversion, China during 2000-2022.Scientific reports · 2025Article
- Monitoring Long-Term Vegetation Dynamics in the Hulun Lake Basin of Northeastern China Through Greening and Browning Speeds from 1982 to 2015.Plants (Basel, Switzerland) · 2025Article
- Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023.Scientific reports · 2025Article
- Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project.Ecology and evolution · 2025Article
- Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment.Scientific reports · 2025Article
- Quantifying the impact of precipitation fluctuations on forest growth in Northeast China.Frontiers in plant science · 2025Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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 climate variables from CHIRPS and ERA5 datasets, our approach leverages Google Earth Engine (GEE) for efficient processing. It combines statistical methodologies, including linear regression, Mann-Kendall trend tests, Sen's slope estimator, partial correlation, and cross wavelet transform analyses. The findings highlight significant spatial and temporal variations in NDVI, with an annual increase averaging 0.00197 per year (p < 0.0001). This positive trend is coupled with an increase in precipitation by 0.4801 mm/year (p = 0.0016). In contrast, our analysis recorded a slight decrease in temperature (- 0.01011 °C/year, p < 0.05) and a reduction in solar radiation (- 0.27526 W/m
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