Simplified triangle method for estimating evaporative fraction over soybean crops

Daniela F. Silva-Fuzzo; Jansle  V. Rocha

doi:10.1117/1.JRS.10.046027

19 December 2016 Simplified triangle method for estimating evaporative fraction over soybean crops

Daniela F. Silva-Fuzzo, Jansle V. Rocha

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 4, 046027 (December 2016). https://doi.org/10.1117/1.JRS.10.046027

Abstract

Accurate estimates are emerging with technological advances in remote sensing, and the triangle method has demonstrated to be a useful tool for the estimation of evaporative fraction (EF). The purpose of this study was to estimate the EF using the triangle method at the regional level. We used data from the Moderate Resolution Imaging Spectroradiometer orbital sensor, referring to indices of surface temperature and vegetation index for a 10-year period (2002/2003 to 2011/2012) of cropping seasons in the state of Paraná, Brazil. The triangle method has shown considerable results for the EF, and the validation of the estimates, as compared to observed data of climatological water balance, showed values >0.8 for modified “d” of Wilmott and R2 values between 0.6 and 0.7 for some counties. The errors were low for all years analyzed, and the test showed that the estimated data are very close to the observed data. Based on statistical validation, we can say that the triangle method is a consistent tool, is useful as it uses only images of remote sensing as variables, and can provide support for monitoring large-scale agroclimatic, specially for countries of great territorial dimensions, such as Brazil, which lacks a more dense network of meteorological ground stations, i.e., the country does not appear to cover a large field for data.

Citation Download Citation

Daniela F. Silva-Fuzzo and Jansle V. Rocha "Simplified triangle method for estimating evaporative fraction over soybean crops," Journal of Applied Remote Sensing 10(4), 046027 (19 December 2016). https://doi.org/10.1117/1.JRS.10.046027

Received: 29 March 2016; Accepted: 17 November 2016; Published: 19 December 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available