کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8867821 | 1621786 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The obtained results indicate that the method of generating CHMs influences the accuracy of tree height estimations. The mean differences between the means of field heights and LiDAR-derived heights (for each CHM separately and the 99th percentile) were statistically significant. The most accurate results were obtained with the spike-free CHM (RMSE calculated for all trees was 1.42â¯m (5.80%)). The smallest errors were observed for conifers-the RMSEs obtained for the spike-free CHM were 1.07â¯m (3.75%) and 1.18â¯m (4.57%) for spruce and pine, respectively. The use of linear regression improved the accuracy of tree height estimations from LiDAR data (especially for the CHMs filtered with Gaussian and median filters).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 71, September 2018, Pages 132-143
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 71, September 2018, Pages 132-143
نویسندگان
MiÅosz Mielcarek, Krzysztof StereÅczak, Anahita Khosravipour,