Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science-Reference-Cited by-同舟云学术

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Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science

Published:2014-05-04 Issue:3 Volume:40 Page:192-212
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

White J. C.,Wulder M. A.,Hobart G. W.,Luther J. E.,Hermosilla T.,Griffiths P.,Coops N. C.,Hall R. J.,Hostert P.,Dyk A.,Guindon L.

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

http://www.tandfonline.com/doi/pdf/10.1080/07038992.2014.945827

Reference67 articles.

1. Fire as the dominant driver of central Canadian boreal forest carbon balance

2. Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia

3. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

4. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data

5. Lidar calibration and validation for geometric-optical modeling with Landsat imagery

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