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

M. Abbasi, A. Darvishsefat, M.E. Schaepman

Research output: Contribution to conferenceConference paperAcademicpeer-review

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
Original languageEnglish
Pages1-5
Publication statusPublished - 2010
EventISPRS Technical Commission VII Symposium - 100 Years ISPRS -
Duration: 5 Jul 20107 Jul 2010

Conference/symposium

Conference/symposiumISPRS Technical Commission VII Symposium - 100 Years ISPRS
Period5/07/107/07/10

Fingerprint

Dive into the research topics of 'Spectral reflectance of rice canopies and red edge position (REP) as indicator of high yield varieties'. Together they form a unique fingerprint.

Cite this