کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10114208 1621388 2005 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimating forest growth using canopy metrics derived from airborne laser scanner data
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Estimating forest growth using canopy metrics derived from airborne laser scanner data
چکیده انگلیسی
Mean tree height (hL), basal area (G), and volume (V) were regressed against the laser-derived variables to predict corresponding values of hL, G, and V based on the 1999 and 2001 laser data, respectively. Forest growth was estimated as the difference between the 2001 and 1999 estimates. Laser data were able to predict a significant growth in all the three biophysical variables over the 2-year period. However, the accuracy of the predictions was poor. In most cases the predictions were biased and the precision was low. Finally, several key issues of particular relevance to laser-based monitoring of forest growth are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 96, Issues 3–4, 30 June 2005, Pages 453-465
نویسندگان
, ,