کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6346225 | 1621242 | 2015 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
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چکیده انگلیسی
Simulation results of the bright daylight and low vegetation reflectivity conditions for collecting photon counting LiDAR with no topographic relief show that 1-2 photons are returned for 79%-88% of LiDAR shots. Signal photons account for ~ 67% of all LiDAR returns, while ~ 50% of shots result in 1 signal photon returned. The proportion of these signal photon returns do not differ significantly (p > 0.05) for AGB intervals > 20 Mg · haâ 1. The 50 m link-scale approximates the finest horizontal resolution (length) at which photon counting LiDAR collection provides strong model fits and minimizes forest structure uncertainty in the synthetic Larix stands. At this link-scale AGB > 20 Mg · haâ 1 has AGB error from 20-50% at the 95% confidence level. These results suggest that the theoretical sensitivity of ICESat-2 photon counting LiDAR measurements alone lack the ability to consistently discern differences in inferred AGB at 10 Mg · haâ 1 intervals in sparse forests characteristic of the taiga-tundra ecotone.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 158, 1 March 2015, Pages 95-109
Journal: Remote Sensing of Environment - Volume 158, 1 March 2015, Pages 95-109
نویسندگان
P.M. Montesano, J. Rosette, G. Sun, P. North, R.F. Nelson, R.O. Dubayah, K.J. Ranson, V. Kharuk,