You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
25 October 2016Options for using Landsat and RapidEye satellite images aiming the water productivity assessments in mixed agro-ecosystems
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.
The alert did not successfully save. Please try again later.
Antônio H. de C. Teixeira, Janice F. Leivas, 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