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Spectral reflectance of rice canopies and red edge position (REP) as indicator of High yield varieties


Abbasi, M; Darvishsefat, A A; Schaepman, M E (2010). Spectral reflectance of rice canopies and red edge position (REP) as indicator of High yield varieties. In: Wagner, W; Székely, B. ISPRS Technical Commission VII Symposium – 100 Years ISPRS: advancing remote sensing science. Vienna: Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, 1-5.

Abstract

Rice is the staple food in Iran. More than 80 percent of rice area is distributed in the two northern provinces of Mazandaran and Gilan, so that investment in increasing the quantity and quality can impact an effective role in economic independence and sustainable agriculture. Increased efficiency in rice production is possible through varietal technology, advances in yield enhancement, and the successful development of hybrid technology. Nondestructive methods such as study the spectral reflectance of rice fields is a reliable way in remote sensing study. In this study we tested the possibility to predict highyielding rice varieties based on the spectral reflectance data in the red edge position (REP). Spectral reflectance of rice canopies from 350 to 2500 nm were acquired under clear sky in rice filed. The obtained results indicate that REP of Hybrid, Tarom, Neda and Khazar varieties are at longer wavelength, so they are predicted as more productive rice varieties.

Abstract

Rice is the staple food in Iran. More than 80 percent of rice area is distributed in the two northern provinces of Mazandaran and Gilan, so that investment in increasing the quantity and quality can impact an effective role in economic independence and sustainable agriculture. Increased efficiency in rice production is possible through varietal technology, advances in yield enhancement, and the successful development of hybrid technology. Nondestructive methods such as study the spectral reflectance of rice fields is a reliable way in remote sensing study. In this study we tested the possibility to predict highyielding rice varieties based on the spectral reflectance data in the red edge position (REP). Spectral reflectance of rice canopies from 350 to 2500 nm were acquired under clear sky in rice filed. The obtained results indicate that REP of Hybrid, Tarom, Neda and Khazar varieties are at longer wavelength, so they are predicted as more productive rice varieties.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2010
Deposited On:29 Dec 2010 10:54
Last Modified:05 Apr 2016 14:25
Publisher:Institute of Photogrammetry and Remote Sensing, Vienna University of Technology
Series Name:The international archives of the photogrammetry, remote sensing and spatial information sciences
Number:38, 7B
ISSN:1682-1777
Additional Information:Vienna, Austria July 5 – 7, 2010
Official URL:http://www.isprs100vienna.org/tc-vii-symposium/proceedings/

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