Towards an operational system for regional-scale rice yield estimation using a time-series of Radarsat ScanSAR images

Authors: Yan Li1; Qifang Liao2; Xia Li2; Shengdong Liao2; Guobin Chi3; Shaolin Peng1

Source: International Journal of Remote Sensing, Volume 24, Number 21, 2003 , pp. 4207-4220(14)

Publisher: Taylor and Francis Ltd

Buy & download fulltext article:

OR

Price: $55.77 plus tax (Refund Policy)

Abstract:

This paper demonstrates that Radarsat ScanSAR data can be an important data source of radar remote sensing for monitoring crop systems and estimation of rice yield in large areas in tropical and sub-tropical regions. Experiments were carried out to show the effectiveness of Radarsat ScanSAR data for rice yield estimation in the whole province of Guangdong, South China. A methodology was developed to deal with a series of issues in extracting rice information from the ScanSAR data, such as topographic influences, levels of agro-management, irregular distribution of paddy fields and different rice cropping systems. A model was provided for rice yield estimation based on the relationship between the backscatter coefficient of multi-temporal SAR data and the biomass of rice. The study indicates that the whole procedure can become a low-cost and convenient operational system for large-scale rice yield estimation which is difficult for conventional methods.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/0143116031000095970

Affiliations: 1: Guangdong Academy of Sciences Guangzhou 510070 PR China 2: Guangzhou Institute of Geography Guangzhou 510070 PR China 3: South China Normal University Guangzhou 510613 PR China

Publication date: 2003-11-01

More about this publication?
Related content

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page