Classification of forest volume resources using ERS tandem coherence and JERS backscatter data-Reference-Cited by-同舟云学术

Classification of forest volume resources using ERS tandem coherence and JERS backscatter data

Published:2004-02 Issue:4 Volume:25 Page:751-768
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Tansey K. J.¹,Luckman A. J.²,Skinner L.²,Balzter H.³,Strozzi T.⁴,Wagner W.⁵

Affiliation:

1. a Global Vegetation Monitoring Unit , Joint Research Centre of the European Commission , TP. 440, Ispra (VA), I-21020, Italy E-mail:

2. b Department of Geography , University of Wales , Swansea, Wales, UK

3. c Section for Earth Observation , Centre for Ecology and Hydrology (CEH) , Monks Wood, Cambridgeshire, UK

4. d GAMMA Remote Sensing , Muri (BE), Switzerland

5. e Institute of Photogrammetry and Remote Sensing , Vienna University of Technology , Vienna, Austria

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/0143116031000149970

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5. Balzter H Talmon E Yu J. J Quegan S Gaveau D Gluck M Nilsson S Tansey K Oeskog A Roth A Schmullius C 2000 Accuracy assessment of a large-scale forest map of Central Siberia derived from multi-sensor satellite-borne Synthetic Aperture Radar interferometry (InSAR) In Accuracy 2000: Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 12–14 July 2000, Amsterdam, edited by G. B. M. Heuvelink and M. J. P. M. Lemmens (Delft: Delft University Press), pp. 31–34

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