Uncertainty of forest biomass estimates in North temperate forests due to allometry: Implications for remote sensing

Remote Sensing

Volumn 5, Issue 6, 2013, Pages 3007-3036

  Ahmed, Razi ^a   Siqueira, Paul ^b   Hensley, Scott ^a   Bergen, Kathleen ^c  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b University of Massachusetts   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Allometry; Biomass; Harvard forest; Howland forest; Uncertainty

Indexed keywords

ABOVE GROUND BIOMASS; ALLOMETRIC EQUATIONS; ALLOMETRY; GLOBAL CLIMATE MODEL; HARVARD FORESTS; HOWLAND FOREST; TEMPORAL HETEROGENEITIES; UNCERTAINTY;

BIOLOGY; BIOMASS; CLIMATE CHANGE; ERRORS; ESTIMATION; FORESTRY; REMOTE SENSING;

UNCERTAINTY ANALYSIS;

BIOLOGY; FORESTS; REMOTE SENSING; SEASONAL VARIATION;

EID: 84880443320     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5063007     Document Type: Article

References (5)

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2. Freedman, B.; Duinker, P.; Barclay, H.; Morash, R.; Prager, U. Forest Biomass and Nutrient Studies in Central Nova Scotia; Information Report; M-X-134; Maritimes Forest Research Centre: Fredericton, NB, Canada, 1982.
3. Honer, T. Weight Relationships in Open- and Forest-Grown Balsam Fir Trees; Misc. Publication-IUFRO Section 25; University of Maine: Orono, ME, USA, 1971; pp. 65-78.
4. Jokela, E.J.; van Gurp, P.K.; Briggs, R.D.; White, E.H. Biomass estimation equations for norway spruce in New York. Can. J. For. Res. 1986, 16, 413-415.
5. Pastor, J.; Bockheim, J. Biomass and production of an aspen-mixed hardwood-spodosol ecosystemin Northern Wisconsin. Can. J. For. Res. 1981, 11, 132-138