A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape-Reference-Cited by-同舟云学术

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A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape

Published:2012-04-25 Issue:2 Volume:185 Page:1215-1235
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Lausch Angela,Pause Marion,Merbach Ines,Zacharias Steffen,Doktor Daniel,Volk Martin,Seppelt Ralf

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-012-2627-8.pdf

Reference53 articles.

1. Bannari, A., Khurshid, K. S., Staenz, K., & Schwarz, J. W. (2007). A comparison of hyperspectral chlorophyll indices for wheat crop chlorophyll content estimation using laboratory reflectance measurements. IEEE Transactions on Geoscience and Remote Sensing, 45, 3063–3074.

2. Baraldi, A., Durieux, L., Simonetti, D., Conchedda, G., Holecz, F., & Blonda, P. (2010). Automatic spectral-rule-based preliminary classification of radiometrically calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery—part I: system design and implementation. IEEE Transactions on Geoscience and Remote Sensing, 48, 1326–1354.

3. Baret, F., Clevers, J. G. P. W., & Steven, M. D. (1995). The robustness of canopy gap fraction estimates from red and near-infrared reflectances: a comparison of approaches. Remote Sensing of Environment, 54, 141–151.

4. Carter, G. (1994). Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal of Remote Sensing, 15, 697–703.

5. Chen, C.-M., Hepner, G. F., & Forster, R. R. (2003). Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surfaces. ISPRS ISPRS—International Society for Photogrammetry and Remote Sensing, 58, 19–30.

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