Options for using Landsat and RapidEye satellite images aiming the water productivity assessments in mixed agro-ecosystems

Antônio H. de C. Teixeira; Janice F. Leivas; Gustavo Bayma-Silva

doi:10.1117/12.2240119

25 October 2016 Options for using Landsat and RapidEye satellite images aiming the water productivity assessments in mixed agro-ecosystems

Antônio H. de C. Teixeira, Janice F. Leivas, Gustavo Bayma-Silva

Author Affiliations +

Proceedings Volume 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII; 99980A (2016) https://doi.org/10.1117/12.2240119
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

For water productivity (WP) assessments, the SAFER (Surface Algorithm for Evapotranspiration Retrieving) algorithm for evapotranspiration (ET) and the Monteith’s light use efficiency (LUE) model for biomass production (BIO), were applied to Landsat and RapidEye satellite images, in the Brazilian semiarid region, inside the dry season of 2011, in a mixture of irrigated and rainfed agro-ecosystems. Firstly, with the Landsat image, the methodology from which the surface temperature (T0) is derived as a residue in the radiation balance was tested. Low differences were detected, being Landsat ET with the thermal band averaged 0.9 ± 1.5 mm d^-1, while without it the mean value was 0.8 ± 1.5 mm d^-1. The corresponding Landsat BIO values were respectively 28 ± 59 and 28 ± 58 kg ha^-1 d^-1, resulting in mean WP of 1.3 ± 1.3 kg m^-3, in both cases. After having confidence on the residual methodology for retrieving T₀ it was applied to the RapidEye image, resulting in average pixel values for ET, BIO and WP of 0.6 ± 1.5 mm d^-1, 26 ± 58 kg ha^-1 d^-1 and 0.9 ± 1.3 kg m^-3, representing 75%, 93% and 69% of the Landsat ones obtained without the thermal band. In addition, the Surface Resistance Algorithm (SUREAL) was used to classify the agro-ecosystems into irrigated crops and natural vegetation by using the RapidEye image. The incremental values for ET, BIO and WP in 2011 were 2.0 ± 1.3 mm d-1, 88 ± 87 kg ha d^-1 and 2.5 ± 0.6 kg m^-3, respectively, as a result of the replacement of the natural species by crops.

Conference Presentation

Citation Download Citation

Antônio H. de C. Teixeira, Janice F. Leivas, and Gustavo Bayma-Silva "Options for using Landsat and RapidEye satellite images aiming the water productivity assessments in mixed agro-ecosystems", Proc. SPIE 9998, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99980A (25 October 2016); https://doi.org/10.1117/12.2240119

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