Within-Species Benefits of Back-projecting Airborne Laser Scanner and Multispectral Sensors in Monospecific Pinus sylvestris Forests-Reference-Cited by-同舟云学术

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Within-Species Benefits of Back-projecting Airborne Laser Scanner and Multispectral Sensors in Monospecific Pinus sylvestris Forests

Published:2013-01 Issue:1 Volume:46 Page:491-509
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Valbuena Rubén¹,De-Blas Alejandro²,Martín-Fernádez Susana²,Maltamo Matti³,Nabuurs Gert-Jan¹,Manzanera José Antonio²

Affiliation:

1. European Forest Institute HQ, Torikatu 34, 80100 Joensuu, Finland

2. Technical University of Madrid, School of Forestry, Ciudad Universitaria s/n, 28040 Madrid, Spain

3. University of Eastern Finland, Faculty of Forest Sciences, PO Box 111 - Joensuu, Finland

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.5721/EuJRS20134629

Reference51 articles.

1. 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

2. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches

3. Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion

4. Airborne laser scanning: basic relations and formulas

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1. Remote sensing for the Spanish forests in the 21st century: a review of advances, needs, and opportunities;Forest Systems;2019-06-07

2. Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale;Remote Sensing;2019-04-03

3. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?;European Journal of Remote Sensing;2019-01-01

4. Valuation of growing stock using multisource GIS data, a stem quality database, and bucking simulation;Canadian Journal of Forest Research;2018-08

5. Most similar neighbor imputation of forest attributes using metrics derived from combined airborne LIDAR and multispectral sensors;International Journal of Digital Earth;2017-10-13

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