Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China
This study assessed accuracies of MCD43A3, Global Land-Surface Satellite (GLASS) and forthcoming Multi-source Data Synergized Quantitative Remote Sensing Production system (MuSyQ) albedos using ground observations and Huan Jing (HJ) data over the Heihe River Basin. MCD43A3 and MuSyQ albedos show sim...
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doaj-a175e2b1ebd34c26ad397c475f8584b92020-11-24T21:23:13ZengMDPI AGRemote Sensing2072-42922018-12-011012204510.3390/rs10122045rs10122045Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, ChinaXiaodan Wu0Jianguang Wen1Qing Xiao2Dongqin You3Baocheng Dou4Xinwen Lin5Andreas Hueni6College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, ChinaCollege of Geography and Environment Science, Zhejiang Normal University, Zhejiang 321004, ChinaRemote Sensing Laboratories, University of Zurich, 8057 Zurich, SwitzerlandThis study assessed accuracies of MCD43A3, Global Land-Surface Satellite (GLASS) and forthcoming Multi-source Data Synergized Quantitative Remote Sensing Production system (MuSyQ) albedos using ground observations and Huan Jing (HJ) data over the Heihe River Basin. MCD43A3 and MuSyQ albedos show similar high accuracies with identical root mean square errors (RMSE). Nevertheless, MuSyQ albedo is better correlated with ground measurements when sufficient valid observations are available or snow-free. The opposite happens when less than seven valid observations are available. GLASS albedo presents a larger RMSE than MCD43A3 and MuSyQ albedos in comparison with ground measurements. Over surfaces with smaller seasonal variations, MCD43A3 and MuSyQ albedos show smaller RMSEs than GLASS albedo in comparison with HJ albedo. However, for surfaces with larger temporal variations, both RMSEs and R<sup>2</sup> of GLASS albedo are comparable with MCD43A3 and MuSyQ. Generally, MCD43A3 and MuSyQ albedos featured the same RMSEs of 0.034 and similar R<sup>2</sup> (0.920 and 0.903, respectively), which are better than GLASS albedo (RMSE = 0.043, R<sup>2</sup> = 0.787). However, when it comes to comparison with aggregated HJ albedo, MuSyQ and GLASS albedos are with lower RMSEs of 0.027 and 0.032 and higher R<sup>2</sup> of 0.900 and 0.898 respectively than MCD43A3 (RMSE = 0.038, R<sup>2</sup> = 0.836). Despite the limited geographic region of the study area, they still provide an important insight into the accuracies of three albedo products.https://www.mdpi.com/2072-4292/10/12/2045assessmentalbedoscale mismatchsurface heterogeneityrepresentativeness error |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Baocheng Dou Xinwen Lin Andreas Hueni |
spellingShingle |
Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Baocheng Dou Xinwen Lin Andreas Hueni Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China Remote Sensing assessment albedo scale mismatch surface heterogeneity representativeness error |
author_facet |
Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Baocheng Dou Xinwen Lin Andreas Hueni |
author_sort |
Xiaodan Wu |
title |
Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China |
title_short |
Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China |
title_full |
Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China |
title_fullStr |
Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China |
title_full_unstemmed |
Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China |
title_sort |
accuracy assessment on modis (v006), glass and musyq land-surface albedo products: a case study in the heihe river basin, china |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-12-01 |
description |
This study assessed accuracies of MCD43A3, Global Land-Surface Satellite (GLASS) and forthcoming Multi-source Data Synergized Quantitative Remote Sensing Production system (MuSyQ) albedos using ground observations and Huan Jing (HJ) data over the Heihe River Basin. MCD43A3 and MuSyQ albedos show similar high accuracies with identical root mean square errors (RMSE). Nevertheless, MuSyQ albedo is better correlated with ground measurements when sufficient valid observations are available or snow-free. The opposite happens when less than seven valid observations are available. GLASS albedo presents a larger RMSE than MCD43A3 and MuSyQ albedos in comparison with ground measurements. Over surfaces with smaller seasonal variations, MCD43A3 and MuSyQ albedos show smaller RMSEs than GLASS albedo in comparison with HJ albedo. However, for surfaces with larger temporal variations, both RMSEs and R<sup>2</sup> of GLASS albedo are comparable with MCD43A3 and MuSyQ. Generally, MCD43A3 and MuSyQ albedos featured the same RMSEs of 0.034 and similar R<sup>2</sup> (0.920 and 0.903, respectively), which are better than GLASS albedo (RMSE = 0.043, R<sup>2</sup> = 0.787). However, when it comes to comparison with aggregated HJ albedo, MuSyQ and GLASS albedos are with lower RMSEs of 0.027 and 0.032 and higher R<sup>2</sup> of 0.900 and 0.898 respectively than MCD43A3 (RMSE = 0.038, R<sup>2</sup> = 0.836). Despite the limited geographic region of the study area, they still provide an important insight into the accuracies of three albedo products. |
topic |
assessment albedo scale mismatch surface heterogeneity representativeness error |
url |
https://www.mdpi.com/2072-4292/10/12/2045 |
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