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Remote Sens. 2012, 4(12), 3721-3740; doi:10.3390/rs4123721

Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress

1
Environmental Remote Sensing & Geoinformatics Department, University of Trier, Behringstraße, 54286 Trier, Germany
2
Geobotany Department, University of Trier, Behringstraße, 54286 Trier, Germany
*
Author to whom correspondence should be addressed.
Received: 3 October 2012 / Revised: 20 November 2012 / Accepted: 20 November 2012 / Published: 26 November 2012
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Abstract

In order to monitor dryness stress under controlled conditions, we set up an experiment with beech seedlings in plant pots and built a platform for observing the seedlings with field imaging spectroscopy. This serves as a preparation for multi-temporal hyperspectral air- and space-borne data expected to be available in coming years. Half of the trees were watered throughout the year; the other half were cut off from water supply for a five-week period in late summer. Plant health and soil, as well as leaf water status, were monitored. Moreover, hyperspectral images of the trees were acquired four times during the experiment. Results show that the experimental imaging setup is well suited for recording hyperspectral images of objects, like the beech pots, under natural illumination conditions. The high spatial resolution makes it feasible to discern between background, soil, wood, green leaves and brown leaves. Furthermore, it could be shown that dryness stress is detectable from an early stage even in the limited spectral range considered. The decline of leaf chlorophyll over time was also well monitored using imaging spectroscopy data. View Full-Text
Keywords: hyperspectral; multi-temporal; field measurements; PLSR; scale effects hyperspectral; multi-temporal; field measurements; PLSR; scale effects
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Buddenbaum, H.; Stern, O.; Stellmes, M.; Stoffels, J.; Pueschel, P.; Hill, J.; Werner, W. Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress. Remote Sens. 2012, 4, 3721-3740.

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