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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Main Authors: Victor Hugo da Motta Paca, Gonzalo E. Espinoza-Dávalos, Rodrigo da Silva, Raphael Tapajós, Avner Brasileiro dos Santos Gaspar
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/5/1259
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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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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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AT raphaeltapajos remotesensingproductsvalidatedbyfluxtowerdatainamazonrainforest
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