کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
284091 1430655 2007 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimation of Fractional Vegetation Cover Based on Digital Camera Survey Data and a Remote Sensing Model
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
Estimation of Fractional Vegetation Cover Based on Digital Camera Survey Data and a Remote Sensing Model
چکیده انگلیسی

The objective of this paper is to improve the monitoring speed and precision of fractional vegetation cover (fc). It mainly focuses on fc estimation when fcmax and fcmin are not approximately equal to 100% and 0%, respectively due to using remote sensing image with medium or low spatial resolution. Meanwhile, we present a new method of fc estimation based on a random set of fc maximum and minimum values from digital camera (DC) survey data and a dimidiate pixel model. The results show that this is a convenient, efficient and accurate method for fc monitoring, with the maximum error −0.172 and correlation coefficient of 0.974 between DC survey data and the estimated value of the remote sensing model. The remaining DC survey data can be used as verification data for the precision of the fc estimation. In general, the estimation of fc based on DC survey data and a remote sensing model is a brand-new development trend and deserves further extensive utilization.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of China University of Mining and Technology - Volume 17, Issue 1, March 2007, Pages 116-120