Title :
Use digital photography to measure ground cover —a case study of Qinghai-Tibet Plateau
Author :
Jia, Jian-hua ; Hu, Yong
Author_Institution :
Surveying and Mapping Institute of Science and Technology, Xi´an University of Science and Technology, China
Abstract :
As a key indicator of vegetation, ground cover is an important parameter for Remote Sensing inversion. Researchers often employ visual methods to estimate ground cover, but these approaches may be prone to observer bias. An innovational method based on color features was presented to analyze digital photographs of vegetation to quantify percent ground cover as part of a study in Qinghai-Tibet Plateau. The k-means clustering algorithm was used to classify after processing the image pixel by pixel, and then calculate the ground cover. Compared the result with Supervised Classification, the difference between the two methods was fewer than 5%. Moreover, some approaches of improving accuracy of classification were discussed by analyzing the result image.
Keywords :
Automation; Classification algorithms; Digital photography; Image analysis; Pixel; Vegetation mapping; Digital Image Processing; automation classification; k-means clustering; percent ground cover;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691998