Download PDFOpen PDF in browser

Validation of SMOS-IC Soil Moisture over Brazilian Semiarid Using in situ Measurements

8 pagesPublished: September 20, 2018

Abstract

Soil Moisture and Ocean Salinity (SMOS) data validation has been widely performed worldwide since the product became available. However, there are few studies for Brazil. This study focused on the validation of a new version of SMOS product developed by the Institut National de la Recherche Agronomique (INRA) and Center d'Etudes Spatiales de la BIOsphère (CESBIO). One of the advantages of SMOS- INRA-CESBIO (SMOS-IC) is that the product is as independent as possible from auxiliary data. The validation was performed at 7 stations located in a semi-arid mesoregion of Pernambuco State, Northeast Brazil, for the year 2016. Bias, root mean square difference (RMSD), unbiased RMSD and the Pearson correlation coefficient (R) were computed between the SMOS-IC data and in situ measurements, considering only the ascending orbit (6 am local time). The results were consistent with those found in several studies, including error metrics. The correlation coefficient (r) ranged from 0.53 to 0.86 (mean 0.68) and the sensor was able to respond adequately to rainfall events. The results of this study are useful to demonstrate the need to continue validating soil moisture data obtained by remote sensors throughout the state, especially in more rainy locations.

Keyphrases: Hydrology, precipitation, remote sensing

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 54--61

Links:
BibTeX entry
@inproceedings{HIC2018:Validation_of_SMOS_IC_Soil,
  author    = {Diego C\textbackslash{}'ezar Dos Santos Ara\textbackslash{}'ujo and Suzana Maria Gico Lima Montenegro and Ana Cl\textbackslash{}'audia Villar E Luna Gusm\textbackslash{}\~{}\{a\}o and Diogo Francisco Borba Rodrigues},
  title     = {Validation of SMOS-IC Soil Moisture over Brazilian Semiarid Using in situ Measurements},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {54--61},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/nS2t},
  doi       = {10.29007/19gn}}
Download PDFOpen PDF in browser