Study on Retrieval Strategy of SMOS Soil Moisture Retrieval Algorithm

Congkun Lao; Na Yang; Shaobo Xu; Yanjie Tang; Hengjie Zhang

doi:10.11873/j.issn.1004-0323.2020.1.0065

Abstract

Abstract:

In order to reduce the complexity of SMOS official soil moisture retrieval algorithm and improve the accuracy of soil moisture retrievals, a new retrieval strategy on SMOS soil moisture retrieval algorithm was developed. In the new retrieval strategy on SMOS soil moisture retrieval algorithm, the fixed step size (0.001 m3/m3) was used to replace the flexible step size obtained by the SMOS matrix operation. The multi-parameter was changed to a single-parameter in the cost function. The data from 44 USCRN sites in the United States were compared with the soil moisture retrieved from SMOS official algorithm as well as the adjustment of SMOS algorithm. The results show that compared with the SMOS official algorithm, the average absolute deviation, root mean square error,and unbiased root mean square error of the adjustment of SMOS algorithm are reduced by 0.012 m3/m3, 0.018 m3/m3,and 0.020 m3/m3,respectively.

Key words: Soil moisture, SMOS, Inversion algorithm, Brightness temperature simulation

鎽樿锛�

涓洪檷浣嶴MOS鍦熷￥姘村垎鍙嶆紨绠楁硶鐨勫鏉傚害銆佹彁楂樺湡澹ゆ按鍒嗗弽婕旂簿搴︼紝瀵筍MOS鍦熷￥姘村垎鍙嶆紨绛栫暐杩涜璋冩暣锛氬皢澶氬弬鏁板弽婕旀敼涓哄崟鍙傛暟鍙嶆紨浠ョ畝鍖栬娴嬩笌妯℃嫙浜俯鐨勪唬浠峰嚱鏁帮紝浠ュ浐瀹氭闀匡紙0.001 m3/m3锛変唬鏇夸笉瀹氭闀夸粠鑰岄伩鍏嶅鏉傜殑鐭╅樀杩愮畻锛屽皢鍥寸粫鍦熷￥姘村垎鍏堥獙鍊肩殑灏戦噺灞�閮ㄦ悳绱㈣皟鏁翠负鍏ㄥ湡澹ゆ按鍒嗗尯闂达紙0~0.05 m³/m³锛夌殑瀵嗛泦鍏ㄥ眬鎼滅储銆傚埄鐢ㄧ編鍥経SCRN 44涓珯鐐瑰疄娴嬪湡澹ゆ按鍒嗗垎鍒笌SMOS瀹樻柟鍙嶆紨鐨勫湡澹ゆ按鍒嗗拰SMOS璋冩暣绠楁硶鍙嶆紨鐨勫湡澹ゆ按鍒嗚繘琛屽姣斿垎鏋愩�傜粨鏋滆〃鏄庯細涓嶴MOS鐩告瘮锛岀畻娉曡皟鏁村悗鍦熷￥姘村垎鐨勫钩鍧囩粷瀵瑰亸宸甅AD銆佸潎鏂规牴璇樊RMSE鍜屾棤鍋忓潎鏂规牴璇樊ubRMSE鍒嗗埆闄嶄綆浜�0.012銆�0.018鍜�0.020 m3/m3銆�

鍏抽敭璇�: 鍦熷￥姘村垎, SMOS, 鍙嶆紨绠楁硶, 浜俯妯℃嫙

CLC Number:

TP701

Congkun Lao,Na Yang,Shaobo Xu,Yanjie Tang,Hengjie Zhang. Study on Retrieval Strategy of SMOS Soil Moisture Retrieval Algorithm[J]. Remote Sensing Technology and Application, 2020, 35(1): 65-73.

鍔充粠鍧�,鏉ㄥ,寰愬皯鍗�,姹ょ嚂鏉�,寮犳亽鏉�. 鍙嶆紨绛栫暐瀵筍MOS鍦熷￥姘村垎鍙嶆紨绠楁硶鐨勫奖鍝嶇爺绌禰J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(1): 65-73.

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