Translator Disclaimer
Paper
10 July 2009 A land cover classification system for use in global change modeling and based on BISE algorithm
Author Affiliations +
Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 749005 (2009) https://doi.org/10.1117/12.836419
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
In this paper, a new logic for land cover classification at regional scale has been introduced. The critical features of this classification are that: 1) indeed distinguished from land use to avoid the confusion between land use types and land cover types; 2) based on remote sensing so that repeatable and efficient re-classifications of existing land cover will be possible; 3) based on spectrum and primary attributes of plant-canopy structure, that are important to globe change modeling and can be measured in the field for validation or/and by remote sensing; 4) based on the phonological difference among broadly defined vegetation because some typical land cover is easily distinguished by using the characteristics of seasonal dynamic; 5) based on component and function properties (e.g., influence on land surface processes) of covers to differentiate mixed land cover. Following the above ideas and using time-series MODIS 250 m data (i.e. NDVI and reflectance) which were reprocessed by a BISE algorithm to identify contaminated pixels with residual cloud, a two-level land cover classification scheme was produced for the southeast Hubei Province and middle Qinling Mountains in Shanxi Province, China. Results show there were seven primary classes and fifteen sub-classes identified and mapped.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Quanfang Wang, Haiwen Zhang, Hangzhou Sun, and Jiayong Li "A land cover classification system for use in global change modeling and based on BISE algorithm", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749005 (10 July 2009); https://doi.org/10.1117/12.836419
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
Back to Top