University of Twente Student Theses
Comparing the accuracy of remote sensing methods for estimating foliar pigments across tree species and years using DESIS imagery
Soto Balvanera, Jessica (2023) Comparing the accuracy of remote sensing methods for estimating foliar pigments across tree species and years using DESIS imagery.
|
PDF
1MB |
| Abstract: | This study addresses gaps in the robustness of traditional models under diverse conditions and newly released high spectral resolution satellite imagery. It conducts a comparative analysis of established statistical methods, including partial least squares regression (PLSR) and narrowband vegetation indices (VIs), on DESIS hyperspectral satellite data to assess their adaptability across various tree species over a two-year period. A significant finding of the study is the varying accuracy of these methods across species, specifically between deciduous species and conifers. The research highlights the importance of the 500-510 nm green and 667.9-688.4 nm red spectral regions for deciduous species, alongside the 645-655 nm red spectrum and NIR bands at 827.2 nm and 927.9 nm for conifers. PLSR demonstrated good accuracy in estimating canopy chlorophylls and carotenoids in deciduous species (e.g., R2 = 0.66 and RMSE = 0.40 for chlorophylls content in 2020), but this accuracy varied across species and years. Conversely, indices like the narrowband Datt derivative index (nDD) provided consistency but lacked accuracy. Employing VIs, a strong correlation was found between the 680-780 nm red edge region and the foliar pigments contents, consistent across years and species. The findings of this study emphasize the complexities involved in modelling canopy pigment content, emphasizing the necessity for species-specific methodologies and the integration of multi-temporal data in statistical models, to improve the retrieval accuracy of canopy pigments content and allow the accurate monitoring of stress and disturbance in forest ecosystems in an era of climate change and biodiversity loss. |
| Item Type: | Essay (Master) |
| Faculty: | ITC: Faculty of Geo-information Science and Earth Observation |
| Subject: | 38 earth sciences, 43 environmental science |
| Programme: | Geoinformation Science and Earth Observation MSc (75014) |
| Link to this item: | https://purl.utwente.nl/essays/97835 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page