Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data-Reference-Cited by-同舟云学术

Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data

Published:2016-12 Issue: Volume:186 Page:626-636
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Ene Liviu Theodor,Næsset Erik,Gobakken Terje^ORCID,Mauya Ernest William,Bollandsås Ole Martin,Gregoire Timothy G.,Ståhl Göran,Zahabu Eliakimu

Funder

Royal Norwegian Embassy in Tanzania

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference73 articles.

1. Overview of Miombo woodlands in Tanzania;Abdallah,2007

2. Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design;Andersen,2009

3. Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the upper Tanana Valley of interior Alaska;Andersen;West. J. Appl. For.,2011

4. Monitoring selective logging in western Amazonia with repeat lidar flights;Andersen;Remote Sens. Environ.,2014

5. Pinnacle user's manual;Anon,1999

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