Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation

Lu Hu; Tianjie Zhao; Jiancheng Shi; Shannan Li; Dong Fang; Pingkai Wang; Deyuan Geng; Qing Xiao; Qing Cui; Deqing Chen

doi:10.11873/j.issn.1004-0323.2020.1.0074

Remote Sensing Technology and Application 鈥衡�� 2020, Vol. 35 鈥衡�� Issue (1): 74-84.DOI: 10.11873/j.issn.1004-0323.2020.1.0074

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Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation

Lu Hu^1,²(),Tianjie Zhao¹(),Jiancheng Shi¹,Shannan Li³,Dong Fang²,Pingkai Wang⁴,Deyuan Geng^1,²,Qing Xiao¹,Qing Cui⁵,Deqing Chen⁵

^1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
^2.University of Chinese Academy of Sciences, Beijing 100049, China
^3.Unit 93920, Xi鈥檃n 710061, China
^4.Institute of Aerospace Electronic Communication Equipment, Shanghai 201109, China
^5.Ministry of Water Resources Information Center, Beijing 100053, China

Received:2019-02-16 Revised:2020-01-06 Online:2020-04-01 Published:2020-02-20
Contact: Tianjie Zhao

鍩轰簬鍦板熀寰尝杈愬皠瑙傛祴鐨勫湡澹ゆ按鍒嗗弽婕旂畻娉曡瘎浼�

鑳¤矾^1,²(),璧靛ぉ鏉�¹(),鏂藉缓鎴�¹,鏉庡皻妤�³,妯婁笢²,鐜嬪钩鍑�⁴,鑰垮痉婧�^1,²,鑲栭潚¹,宕斿��⁵,闄堝痉娓�⁵

^1.涓浗绉戝闄㈤仴鎰熶笌鏁板瓧鍦扮悆鐮旂┒鎵� 閬ユ劅绉戝鍥藉閲嶇偣瀹為獙瀹�, 鍖椾含 100101
^2.涓浗绉戝闄㈠ぇ瀛︼紝鍖椾含 100049
^3.93920閮ㄩ槦锛岄檿瑗� 瑗垮畨 710061
^4.涓婃捣鑸ぉ鐢靛瓙閫氳璁惧鐮旂┒鎵�锛屼笂娴� 201109
^5.姘村埄閮ㄤ俊鎭腑蹇冿紝鍖椾含 100053

閫氳浣滆��: 璧靛ぉ鏉�
浣滆�呯畝浠�:鑳� 璺紙1994-锛夛紝鐢�,婀栧寳娼滄睙浜猴紝纭曞＋鐮旂┒鐢�,涓昏浠庝簨寰尝閬ユ劅鍙嶆紨鍦熷￥姘村垎鐮旂┒銆侲?mail:hulu@radi.ac.cn銆�
鍩洪噾璧勫姪:
鍥藉閲嶇偣鐮斿彂璁″垝(2016YFE0117300);鍥藉閲嶅ぇ绉戝鐮旂┒璁″垝(2015CB953701);鈥滃崄涓変簲鈥濇皯鐢ㄨ埅澶╅鍏堢爺绌堕」鐩�滈檰鍦版按璧勬簮鍗槦绯荤粺鎶�鏈��(Y7D0070038);涓浗绉戝闄㈤潚骞村垱鏂颁績杩涗細椤圭洰(2016061)

Abstract

Abstract:

The commonly used passive microwave soil moisture inversion algorithms include Single Channel Algorithm at H polarization (SCA-H), Single Channel Algorithm at V polarization (SCA-V), Dual-Channel Algorithm (DCA), Microwave Polarization Ratio Algorithm (MPRA) and Extended Dual Channel Algorithm (E-DCA). The five retrieval algorithms have different performance, systematic evaluation and analysis of these inversion algorithms will contribute to the improvement of the retrieval algorithm and the release of satellite soil moisture products. Verification of satellite product could bring some problems, such as scale matching and spatial heterogeneity. In order to avoid these issues, the above five soil moisture inversion algorithms are implemented, compared and analyzed based on ground-based microwave radiometer observation and supporting soil and vegetation parameter measurement data. The results show: (1) SCA has the best inversion performance. SCA-H has the highest correlation (R=0.83), and SCA-V has the smallest inversion error (RMSE=0.028 m³/m³, BIAS=-0.011 m³/m³), but SCA needs the accurate vegetation water content as an input. (2) The other three algorithms can get rid of the use of vegetation-aided data, with slightly poor performance but also meet the satellite detection requirements (less than or equal to 0.04 m³/m³). Among them, E-DCA and MPRA are slightly worse than the DCA. However, E-DCA is more advantageous in the vegetation water content inversion in our study.

Key words: Soil moisture, Microwave radiometer, L band, Retrieval algorithm

鎽樿锛�

褰撳墠甯哥敤鐨勮鍔ㄥ井娉㈠湡澹ゆ按鍒嗗弽婕旂畻娉曟湁姘村钩鏋佸寲鍗曢�氶亾绠楁硶銆佸瀭鐩存瀬鍖栧崟閫氶亾绠楁硶銆佸弻閫氶亾绠楁硶銆佸井娉㈡瀬鍖栧樊姣斿�肩畻娉曞拰鎵╁睍鍙岄�氶亾绠楁硶锛�5绉嶅弽婕旂畻娉曞叿鏈変笉鍚岀殑宸紓锛屽杩欎簺鍙嶆紨绠楁硶杩涜绯荤粺鐨勮瘎浼板拰鍒嗘瀽灏嗘湁鍔╀簬鍙嶆紨绠楁硶鐨勬敼杩涘拰鏄熻浇楂樼簿搴﹀湡澹ゆ按鍒嗕骇鍝佺殑鍙戝竷銆備负浜嗛伩鍏嶇洿鎺ラ噰鐢ㄥ崼鏄熶骇鍝侀獙璇佹椂鐨勫昂搴﹀尮閰嶃�佺┖闂村紓璐ㄦ�х瓑闂锛屽熀浜庡湴鍩篖娉㈡寰尝杈愬皠瑙傛祴浠ュ強閰嶅鐨勫湡澹ゅ拰妞嶈鍙傛暟娴嬮噺鏁版嵁锛屽杩�5绉嶅弽婕旂畻娉曡繘琛屼簡瀹炵幇銆佸姣斿拰鍒嗘瀽锛屽緱鍑轰互涓嬬粨璁猴細鈶犲崟閫氶亾绠楁硶鍏锋湁鏈�浣崇殑鍙嶆紨鎬ц兘锛屾按骞虫瀬鍖栧崟閫氶亾绠楁硶鍙嶆紨缁撴灉鍏锋湁鏈�楂樼殑鐩稿叧鎬�(鐩稿叧鎬х郴鏁癛=0.83)锛屽瀭鐩存瀬鍖栧崟閫氶亾绠楁硶鍙嶆紨缁撴灉鍏锋湁鏈�灏忕殑鍙嶆紨璇樊(鍧囨柟鏍硅宸甊MSE=0.028 m³/m³,鍋忓樊BIAS= -0.011 m³/m³),浣嗗崟閫氶亾绠楁硶闇�瑕佺簿纭殑妞嶈鍚按閲忚緭鍏ワ紱鈶″叾浣�3绉嶇畻娉曡兘鑴辩妞嶈杈呭姪鏁版嵁鐨勪娇鐢紝鎬ц兘鐣ュ樊浣嗕篃鑳芥弧瓒虫槦杞藉井娉紶鎰熷櫒鐨勬帰娴嬫寚鏍囪姹�(灏忎簬绛変簬0.04 m³/m³)锛涘叾涓紝鎵╁睍鍙岄�氶亾绠楁硶鍜屽井娉㈡瀬鍖栧樊姣斿�肩畻娉曠殑鍦熷￥姘村垎鍙嶆紨缁撴灉姣斿弻閫氶亾绠楁硶鐣ュ樊锛屼絾鏈緥涓墿灞曞弻閫氶亾绠楁硶鍦ㄦ琚惈姘撮噺鍙嶆紨鏂归潰鏇村叿浼樺娍銆�

鍏抽敭璇�: 鍦熷￥姘村垎, 寰尝杈愬皠璁�, L娉㈡, 鍙嶆紨绠楁硶

CLC Number:

TP79

Lu Hu,Tianjie Zhao,Jiancheng Shi,Shannan Li,Dong Fang,Pingkai Wang,Deyuan Geng,Qing Xiao,Qing Cui,Deqing Chen. Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation[J]. Remote Sensing Technology and Application, 2020, 35(1): 74-84.

鑳¤矾,璧靛ぉ鏉�,鏂藉缓鎴�,鏉庡皻妤�,妯婁笢,鐜嬪钩鍑�,鑰垮痉婧�,鑲栭潚,宕斿��,闄堝痉娓�. 鍩轰簬鍦板熀寰尝杈愬皠瑙傛祴鐨勫湡澹ゆ按鍒嗗弽婕旂畻娉曡瘎浼癧J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(1): 74-84.

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Evaluation of Soil Moisture Retrieval Algorithms based on Ground-based Microwave Radiation Observation

鍩轰簬鍦板熀寰尝杈愬皠瑙傛祴鐨勫湡澹ゆ按鍒嗗弽婕旂畻娉曡瘎浼�

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