HYPERSPECTRAL DATA FOR FOREST INVENTORIES. Henning Aberle, M.Sc. Bogor & Jakarta, Indonesia March 2014
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1 T HE E C O L O G I C A L A N D E C O N O M I C C H A L L E N G E S OF M A N A G I N G F O R E S T E D L A N D S C A P E S IN A G L O B A L C O N T E X T - F O C U S : A S I A HYPERSPECTRAL DATA FOR FOREST INVENTORIES Henning Aberle, M.Sc. Bogor & Jakarta, Indonesia March 2014 G e o r g - A u g u s t - U n i v e r s i t y G ö t t i n g e n F a c u l t y o f F o r e s t S c i e n c e s a n d F o r e s t E c o l o g y C h a i r o f F o r e s t I n v e n t o r y a n d R e m o t e S e n s i n g
2 BACKGROUND Forests are dynamic and complex systems with important ecological, social and commercial functions. Knowledge about forest stocks is crucial Knowledge about forest species is crucial Knowledge about forest condition is crucial Remote Sensing, Field Measurements Project topic: Describing the biophysically forest structure using hyperspectral radiation measurements
3 STUDY SITE C i t y o f G ö t t i n g e n LANDSAT 7 ETM+, , RGB: 7-5-2, GAPFILLED, CONTRAST ENHANCED - 3 -
4 STUDY SITE Autumn Summer - 4 -
5 STUDY SITE Tree species composition in the forest: Derived from a subset (n=580) of permanent inventory plots 29 species occur high diversity other deciduous other coniferous - 5 -
6 WHAT IS HYPERSPECTRAL? Compared to multispectral : increased number of bands (~3-10 vs. 60-<360!) finer resolution Large spectral range additional information EARTHOBSERVATORY.NASA.GOV - 6 -
7 REMOTE SENSING AISA Eagle & Hawk hyperspectral airborne camera system: N 9 km Flight stripe: 2 m GSD 368 bands 8 GB file size 4 km 3D data cube Spectral signatures of single pixels - 7 -
8 REMOTE SENSING AISA Eagle & Hawk hyperspectral airborne camera system: - 8 -
9 NEARBY SENSING ASD High Resolution Field Spectroradiometer 3-9 -
10 NEARBY SENSING Many ways to measure... MILTON ET AL.,
11 NEARBY SENSING Example of 4 different land cover classes: GROUND SPECTRA,ASD FIELDSPEC 3,
12 NEARBY SENSING Measuring at a different scale: leaf level without atmospheric influences ASDI.COM
13 NEARBY SENSING Leaf optical properties of Small-Leaved Lime (Tilia cordata)
14 NEARBY SENSING How to get leaves? Canopy walk: Climate tower:
15 FOREST SPECTROSCOPY Leaf spectra of the main species LEAF SPECTRA, ASD FIELDSPEC 3,
16 PHENOLOGY Seasonality in reflectances Ash Beech Hornbeam (Fraxinus excelsior) (Fagus sylvatica) (Carpinus betulus)
17 CONCLUSIONS The utilization of hyperspectral data can be a powerful tool On leaf level species are more similar than on crown level Appearances/reflectances of tree leaves highly change during growing season not just green Species specific differences in phenological reflectance ADDITIONAL STEPS: Link to remotely sensed data, comparison Species discrimination on different scales (crown, leaf) Using spectra as input for modelling plots and stands
18 Henning Aberle Georg-August-University Göttingen Faculty of Forest Sciences and Forest Ecology Burckhardt-Institute Chair of Forest Inventory and Remote Sensing
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