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THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
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THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
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THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA

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THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA
Journal Article

THE NDVI VALUES DIFFERENCES IN RELATION TO CANOPY DENSITY USING SENTINEL-2 LEVEL-2A REMOTE SENSING DATA

2025
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Overview
The stand canopy density data were collected from the Forest Management Plan and validated in the field, while the NDVI data were obtained using the Google Earth Engine platform based on Sentinel-2 Level 2A imagery. The data on stand canopy density were obtained from the Forest Management Plan (FMP) for the respective FMU, whereby the data collected was subsequently verified on site. Normalised Difference Vegetation Index (NDVI), a commonly used indicator in satellite-based vegetation remote sensing, was calculated using the following equation (Rouse et al., 1973): (ProQuest: ... denotes formula omitted.) where, NIR represent the light reflectance in the near-infrared wavelength from 720 to 1300nm, while Red is the light reflectance in red wavelength from 600 to 720 nm reflectance (Naser et al., 2020). Since the data collection was conducted during 2023, the NDVI values were also acquired for the same year. Since no such interventions occurred within the FMU in 2023, the year represented a neutral baseline, allowing the NDVI values to reflect undisturbed canopy conditions.