Skip to Main Content
A temporal analysis of urban forest carbon storage using remote sensingAuthor(s): Soojeong Myeong; David J. Nowak; Michael J. Duggin
Source: Remote Sensing of Environment. 101: 277-282.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (233.49 KB)
DescriptionQuantifying the carbon storage, distribution, and change of urban trees is vital to understanding the role of vegetation in the urban environment. At present, this is mostly achieved through ground study. This paper presents a method based on the satellite image time series, which can save time and money and greatly speed the process of urban forest carbon storage mapping, and possibly of regional forest mapping. Satellite imagery collected in different decades was used to develop a regression equation to predict the urban forest carbon storage from the Normalized Difference Vegetation Index (NDVI) computed from a time sequence (1985-1999) of Landsat image data. This regression was developed from the 1999 field-based model estimates of carbon storage in Syracuse, NY.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationMyeong, Soojeong; Nowak, David J.; Duggin, Michael J. 2006. A temporal analysis of urban forest carbon storage using remote sensing. Remote Sensing of Environment. 101: 277-282.
Keywordscarbon storage, urban forest, urban environment, NDVI
- Improving the precision of dynamic forest parameter estimates using Landsat
- High-resolution forest carbon stocks and emissions in the Amazon
- Modeling percent tree canopy cover: a pilot study
XML: View XML