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Estimation of Canopy Height Using an Airborne Ku-Band Frequency-Modulated Continuous Waveform Profiling Radar
- Source :
- IEEE Journal of selected topics in applied earth observations and remote sensing, 11(10):8462728, 3590-3597. IEEE
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- An airborne Ku -band frequency-modulated continuous waveform (FMCW) profiling radar terms as Tomoradar provides a distance-resolved measure of microwave radiation backscattered from the canopy surface and the underlying ground. The Tomoradar waveform data are acquired in the southern Boreal Forest Zone with Scots pine, Norway spruce, and birch as major species in Finland. A weighted filtering algorithm based on statistical properties of noise is designed to process the original waveform. In addition, another algorithm of estimating canopy height for the processed waveform is developed by extracting the canopy top and ground position. A higher-precision reference data from a Velodyne VLP-16 laser scanner and a digital terrain model are introduced to validate the accuracy of extracted canopy height. According to the processed results from 127 765 copolarization measurements in 32 stripes of Tomoradar field test, the mean error of canopy height varies from −0.04 to 1.53 m, and the root-mean-square error approximates 1 m. Moreover, the estimated canopy heights highly correlate with the reference data in view of that the correlation coefficients maintain from 0.86 to 0.99 with an average value of 0.96. All these results demonstrate that Tomoradar presents an important approach in estimating the canopy height with several meters footprint and is feasible of being a validation instrument for satellite LiDAR with large footprint in the forest inventory.
- Subjects :
- Canopy
Atmospheric Science
Canopy height
010504 meteorology & atmospheric sciences
Reference data (financial markets)
0211 other engineering and technologies
02 engineering and technology
Ku band profile radar
01 natural sciences
Ku band
law.invention
law
Waveform
Computers in Earth Sciences
Radar
Digital elevation model
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Forest inventory
n/a OA procedure
Lidar
Weighted filtering
ITC-ISI-JOURNAL-ARTICLE
Environmental science
Subjects
Details
- ISSN :
- 21511535 and 19391404
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Accession number :
- edsair.doi.dedup.....b8ec9ba1806e3bea866b1bd5b471871b
- Full Text :
- https://doi.org/10.1109/jstars.2018.2865624