Assessing remotely-sensed aboveground biomass estimates in the Sierra National Forest

Mark Chopping, Rocio Duchesne, Malcolm North

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mapped estimates of forest aboveground biomass (AGB) at regular intervals are important in carbon cycle studies. In the southwestern United States, there have been extensive changes to forests over the last decade, due to wildfire, climate-driven insect outbreaks and disease, increasing forest-human interaction, resource exploitation, and increasing aridity [1]. Earlier estimates of AGB based on MISR geometric-optical model cover and height retrievals were found to be highly compatible with US Forest Service maps constructed using empirical relationships and MODIS vegetation index data [2][3]. However, these maps were not validated against field data. This paper reports on efforts to assess mapped estimates of forest AGB in the Sierra National Forest, California, against field inventory data.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1041-1044
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - 4 Nov 2014
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

OtherJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

  • biomass
  • carbon
  • forest

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    Chopping, M., Duchesne, R., & North, M. (2014). Assessing remotely-sensed aboveground biomass estimates in the Sierra National Forest. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1041-1044). [6946606] (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6946606