Journal article
Using multispectral satellite imagery to estimate leaf area and response to silvicultural treatments in loblolly pine stands
Canadian journal of forest research, Vol.36(6), pp.1587-1596
2006
DOI: 10.1139/x06-030
Abstract
The relationship between leaf area index (LAI) of loblolly pine plantations and the broadband simple ratio (SR) vegetation index calculated from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data was examined. An equation was derived to estimate LAI from readily available Landsat 7 ETM+ data. The equation developed to predict LAI with Landsat 7 ETM+ data was tested with ground LAI measurements taken in 12 plots. The root mean square error of prediction was 0.29, an error of approximately 14% in prediction. The ability of Landsat 7 ETM+ data to consistently estimate SR over time was tested using two scenes acquired on different dates during the winter (December to early March). Comparison between the two images on a pixel-by-pixel basis showed that approximately 96% of the pixels had a difference of <0.5 units of SR (approximately 0.3 units of LAI). When the comparison was made on a stand-by-stand basis (average stand SR), a maximum difference of 0.2 units of SR (approximately 0.12 units of LAI) was found. These results suggest that stand LAI of loblolly pine plantations can be accurately estimated from readily available remote sensing data and provide an opportunity to apply the findings from ecophysiological studies in field plots to forest management decisions at an operational scale.
Details
- Title: Subtitle
- Using multispectral satellite imagery to estimate leaf area and response to silvicultural treatments in loblolly pine stands
- Creators
- Francisco J FLORES - Department of Forestry, North Carolina State University, Raleigh, NC 27695-8008, United StatesH. Lee ALLEN - Department of Forestry, North Carolina State University, Raleigh, NC 27695-8008, United StatesHeather M CHESHIRE - Department of Forestry, North Carolina State University, Raleigh, NC 27695-8008, United StatesJerry M DAVIS - Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, 5134 Jordan Hall, Raleigh, NC 27695-7243, United StatesMontserrat FUENTES - Department of Statistics, North Carolina State University, 209G Patterson Hall, Raleigh, NC 27695-8203, United StatesDaniel KELTING - Department of Forestry, North Carolina State University, Raleigh, NC 27695-8008, United States
- Resource Type
- Journal article
- Publication Details
- Canadian journal of forest research, Vol.36(6), pp.1587-1596
- Publisher
- National Research Council of Canada; Ottawa, ON
- DOI
- 10.1139/x06-030
- ISSN
- 0045-5067
- eISSN
- 1208-6037
- Language
- English
- Date published
- 2006
- Academic Unit
- Biostatistics; Statistics and Actuarial Science; President
- Record Identifier
- 9984065770002771
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