Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest
This work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM...
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MDPI AG
2022-03-01
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author | Victor Hugo da Motta Paca Gonzalo E. Espinoza-Dávalos Rodrigo da Silva Raphael Tapajós Avner Brasileiro dos Santos Gaspar |
author_facet | Victor Hugo da Motta Paca Gonzalo E. Espinoza-Dávalos Rodrigo da Silva Raphael Tapajós Avner Brasileiro dos Santos Gaspar |
author_sort | Victor Hugo da Motta Paca |
collection | DOAJ |
description | This work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, and the results were RMSE = 24.144 mm/month, NRMSE = 0.223, r<sup>2</sup> = 0.163, slope = 0.411; RMSE = 1.781 mm/day, NRMSE = 0.599, r<sup>2</sup> = 0.000, slope = 0.006; RMSE = 36.17 mm/month, NRMSE = 0.401, r<sup>2</sup> = 0.002, and slope = 0.026. Precipitation was compared with the CHIRPS data, K67 was not part of the CHIRPS station correction. The results for both the daily and monthly comparisons were RMSE = 18.777 mm/day, NRMSE = 1.027, r<sup>2</sup> = 0.086, slope = 0.238 and RMSE = 130.713 mm/month, NRMSE = 0.706, r<sup>2</sup> = 0.402, and slope = 0.818. The net radiation validated monthly with CERES was RMSE = 75.357 W/m<sup>2</sup>, NRMSE = 0.383, r<sup>2</sup> = 0.422, and slope = 0.867. The temperature results, as compared to MOD11C3, were RMSE = 2.829 °C, NRMSE = 0.116, r<sup>2</sup> = 0.153, and slope = 0.580. Comparisons between the remote sensing products and validation against the ground data were performed on a monthly basis. GLEAM and CHIRPS daily were the data sets with considerable discrepancy. |
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issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T20:22:13Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-43a3652a1e104f088a118672ea69bb702023-11-23T23:43:56ZengMDPI AGRemote Sensing2072-42922022-03-01145125910.3390/rs14051259Remote Sensing Products Validated by Flux Tower Data in Amazon Rain ForestVictor Hugo da Motta Paca0Gonzalo E. Espinoza-Dávalos1Rodrigo da Silva2Raphael Tapajós3Avner Brasileiro dos Santos Gaspar4Geological Survey of Brazil (CPRM), Belém 66095-904, PA, BrazilEnvironmental Systems Research Institute (ESRI), Redlands, CA 92373, USAFaculdade de Geociências, Universidade Federal do Oeste do Pará (UFOPA), Santarém 68040-470, PA, BrazilFaculdade de Geociências, Universidade Federal do Oeste do Pará (UFOPA), Santarém 68040-470, PA, BrazilFaculdade de Geociências, Universidade Federal do Oeste do Pará (UFOPA), Santarém 68040-470, PA, BrazilThis work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, and the results were RMSE = 24.144 mm/month, NRMSE = 0.223, r<sup>2</sup> = 0.163, slope = 0.411; RMSE = 1.781 mm/day, NRMSE = 0.599, r<sup>2</sup> = 0.000, slope = 0.006; RMSE = 36.17 mm/month, NRMSE = 0.401, r<sup>2</sup> = 0.002, and slope = 0.026. Precipitation was compared with the CHIRPS data, K67 was not part of the CHIRPS station correction. The results for both the daily and monthly comparisons were RMSE = 18.777 mm/day, NRMSE = 1.027, r<sup>2</sup> = 0.086, slope = 0.238 and RMSE = 130.713 mm/month, NRMSE = 0.706, r<sup>2</sup> = 0.402, and slope = 0.818. The net radiation validated monthly with CERES was RMSE = 75.357 W/m<sup>2</sup>, NRMSE = 0.383, r<sup>2</sup> = 0.422, and slope = 0.867. The temperature results, as compared to MOD11C3, were RMSE = 2.829 °C, NRMSE = 0.116, r<sup>2</sup> = 0.153, and slope = 0.580. Comparisons between the remote sensing products and validation against the ground data were performed on a monthly basis. GLEAM and CHIRPS daily were the data sets with considerable discrepancy.https://www.mdpi.com/2072-4292/14/5/1259remote sensing productshydro-meteorological variablescomparison and validation |
spellingShingle | Victor Hugo da Motta Paca Gonzalo E. Espinoza-Dávalos Rodrigo da Silva Raphael Tapajós Avner Brasileiro dos Santos Gaspar Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest Remote Sensing remote sensing products hydro-meteorological variables comparison and validation |
title | Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest |
title_full | Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest |
title_fullStr | Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest |
title_full_unstemmed | Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest |
title_short | Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest |
title_sort | remote sensing products validated by flux tower data in amazon rain forest |
topic | remote sensing products hydro-meteorological variables comparison and validation |
url | https://www.mdpi.com/2072-4292/14/5/1259 |
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