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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 37, 2011 - Issue 6
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Research Articles

Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

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Pages 596-611 | Received 30 Sep 2011, Accepted 06 Dec 2011, Published online: 02 Jun 2014

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Agen Qiu, Yi Yang, Dongchao Wang, Shenghua Xu & Xiao Wang. (2020) Exploring parameter selection for carbon monitoring based on Landsat-8 imagery of the aboveground forest biomass on Mount Tai. European Journal of Remote Sensing 53:sup1, pages 4-15.
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Pablito M. López-Serrano, Carlos A. López-Sánchez, Juan G. Álvarez-González & Jorge García-Gutiérrez. (2016) A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation. Canadian Journal of Remote Sensing 42:6, pages 690-705.
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David Pont, Mark O. Kimberley, Rod K. Brownlie, Charles O. Sabatia & Michael S. Watt. (2015) Calibrated tree counting on remotely sensed images of planted forests. International Journal of Remote Sensing 36:15, pages 3819-3836.
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Rubén Valbuena, Alejandro De-Blas, Susana Martín-Fernádez, Matti Maltamo, Gert-Jan Nabuurs & José Antonio Manzanera. (2013) Within-Species Benefits of Back-projecting Airborne Laser Scanner and Multispectral Sensors in Monospecific Pinus sylvestris Forests. European Journal of Remote Sensing 46:1, pages 491-509.
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