Modeling Soil Moisture Retrieval Errors in the Time-Series Ratio Method

被引：0

作者：

Horton, Dustin ^{[1
]}

Bringer, Alexandra ^{[2
]}

Johnson, Joel T. ^{[1
]}

Park, Jeonghwan ^{[2
]}

Al-Khaldi, Mohammad ^{[1
]}

Bindlish, Rajat ^{[2
]}

机构：

[1] Ohio State Univ, Electrosci Lab, Columbus, OH 43210 USA

[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2024年 / 21卷

关键词：

Soil moisture; Mathematical models; Soil measurements; Backscatter; Uncertainty; Vegetation mapping; Surface roughness; Error model; NASA/ISRO synthetic aperture radar (NISAR); radar remote sensing; soil moisture;

D O I：

10.1109/LGRS.2024.3353135

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The use of a "time-series ratio" soil moisture retrieval approach is under consideration for the upcoming NASA/ISRO synthetic aperture radar (NISAR) mission's soil moisture product. As such, it is of interest to characterize the algorithm's anticipated error budget as part of prelaunch activities. This letter develops an error model to estimate retrieval errors for the proposed algorithm. The model accounts for error contributions from speckle and thermal noise as well as uncertainties that arise as part of the retrieval process. Spatial and temporal behaviors of the retrieval errors are determined using a soil moisture active passive (SMAP)-based soil moisture climatology. The results show that soil moisture retrieval errors from the time-series ratio method meet the 0.06 $\text{m}<^>{3}/\text{m}<^>{3}$ unbiased root mean square error (URMSE) performance metric established for the NISAR soil moisture product.

引用

页数：5

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[41] Time-Series Factor Modeling and Selection
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[42] MODELING TIME-SERIES WITH CALENDAR VARIATION
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HILLMER, SC
[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1983, 78 (383) : 526 - 534
[43] MACHINED SURFACE - TIME-SERIES MODELING
WATSON, W
KING, TG
SPEDDING, TA
STOUT, KJ
[J]. WEAR, 1979, 57 (01) : 195 - 205
[44] MODELING OF AGGREGATED HYDROLOGIC TIME-SERIES
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SALAS, JD
[J]. JOURNAL OF HYDROLOGY, 1986, 86 (3-4) : 197 - 219
[45] STOCHASTIC MODELING OF RIVERFLOW TIME-SERIES
LAWRANCE, AJ
KOTTEGODA, NT
[J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1977, 140 : 1 - 47
[46] AUTOREGRESSIVE TIME-SERIES MODELING OF STABILOGRAMS
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SEIDEL, H
[J]. ACTA BIOLOGICA ET MEDICA GERMANICA, 1978, 37 (08) : 1221 - 1227
[47] ROBUST MULTIPLE TIME-SERIES MODELING
LI, WK
HUI, YV
[J]. BIOMETRIKA, 1989, 76 (02) : 309 - 315
[48] FRACTAL MODELING OF TIME-SERIES DATA
MAZEL, DS
HAYES, MH
[J]. TWENTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2: CONFERENCE RECORD, 1989, : 182 - 186
[49] MODELING OF TIME-SERIES - A NEW APPROACH
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[J]. GEOPHYSICS, 1982, 47 (04) : 478 - 478
[50] MODELING MULTIPLE TIME-SERIES WITH APPLICATIONS
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BOX, GEP
[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1981, 76 (376) : 802 - 816

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