Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia
View/ Open
Issue Date
2016-07-16Author
Oliveira, Gabriel de
Brunsell, Nathaniel A.
Moraes, Elisabete C.
Bertani, Gabriel
dos Santos, Thiago V.
Shimabukuro, Yosio E.
Aragao, Luiz E. O. C.
Publisher
MDPI
Type
Article
Article Version
Scholarly/refereed, publisher version
Rights
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Metadata
Show full item recordAbstract
In the Amazon region, the estimation of radiation fluxes through remote sensing techniques is hindered by the lack of ground measurements required as input in the models, as well as the difficulty to obtain cloud-free images. Here, we assess an approach to estimate net radiation (Rn) and its components under all-sky conditions for the Amazon region through the Surface Energy Balance Algorithm for Land (SEBAL) model utilizing only remote sensing and reanalysis data. The study period comprised six years, between January 2001–December 2006, and images from MODIS sensor aboard the Terra satellite and GLDAS reanalysis products were utilized. The estimates were evaluated with flux tower measurements within the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) project. Comparison between estimates obtained by the proposed method and observations from LBA towers showed errors between 12.5% and 16.4% and 11.3% and 15.9% for instantaneous and daily Rn, respectively. Our approach was adequate to minimize the problem related to strong cloudiness over the region and allowed to map consistently the spatial distribution of net radiation components in Amazonia. We conclude that the integration of reanalysis products and satellite data, eliminating the need for surface measurements as input model, was a useful proposition for the spatialization of the radiation fluxes in the Amazon region, which may serve as input information needed by algorithms that aim to determine evapotranspiration, the most important component of the Amazon hydrological balance.
Collections
Citation
De Oliveira, G., Brunsell, N. A., Moraes, E. C., Bertani, G., dos Santos, T. V., Shimabukuro, Y. E., & Aragão, L. E. O. C. (2016). Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia. Sensors (Basel, Switzerland), 16(7), 956. http://doi.org/10.3390/s16070956
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.
Except where otherwise noted, this item's license is described as: © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC-BY) license (http://creativecommons.org/licenses/by/4.0/).