ArticlePlants (Basel, Switzerland)2024
Examining the Sensitivity of Satellite-Derived Vegetation Indices to Plant Drought Stress in Grasslands in Poland.
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of AnnualBiology · 2026Article
- Comparative evaluation of vegetation indices for water and heat stress detection and monitoring across land cover types.Scientific reports · 2026Article
- Ranking land degradation drivers in eastern Inner Mongolia using partial order theory and Hasse diagram analysis.Scientific reports · 2026Article
- Field-based hyperspectral characterization of wetland plant diversity and vitality in Burullus Lagoon (Nile Delta, Egypt).PloS one · 2026Article
- Unlocking the synergistic potential of sensor technologies in grassland research.Discover sensors · 2025Review
- Mapping management intensity types in grasslands with synergistic use of Sentinel-1 and Sentinel-2 satellite images.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In this study, the emphasis is on assessing how satellite-derived vegetation indices respond to drought stress characterized by meteorological observations. This study aimed to understand the dynamics of grassland vegetation and assess the impact of drought in the Wielkopolskie (PL41) and Podlaskie (PL84) regions of Poland. Spatial and temporal characteristics of grassland dynamics regarding drought occurrences from 2020 to 2023 were examined. Pearson correlation coefficients with standard errors were used to analyze vegetation indices, including NDVI, NDII, NDWI, and NDDI, in response to drought, characterized by the meteorological parameter the Hydrothermal Coefficient of Selyaninov (HTC), along with ground-based soil moisture measurements (SM). Among the vegetation indices studied, NDDI showed the strongest correlations with HTC at r = -0.75, R
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Registered trials
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