陆地卫星光学载荷地基自动辐射定标与验证分析

doi:10.11873/j.issn.1004-0323.2019.1.0146

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2019, Vol. 34 鈥衡�� Issue (1): 146-154.DOI: 10.11873/j.issn.1004-0323.2019.1.0146

鈥� 妯″瀷涓庡弽婕� 鈥� 涓婁竴绡� 涓嬩竴绡�

闄嗗湴鍗槦鍏夊杞借嵎鍦板熀鑷姩杈愬皠瀹氭爣涓庨獙璇佸垎鏋愵��

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鏀剁鏃ユ湡:2018-03-22 鍑虹増鏃ユ湡:2019-02-20 鍙戝竷鏃ユ湡:2019-04-02
浣滆�呯畝浠�:搴炲崥锛�1990-锛夛紝鐢凤紝婀栧寳姝︽眽浜猴紝纭曞＋鐮旂┒鐢燂紝涓昏浠庝簨鍗槦杈愬皠瀹氭爣鐮旂┒銆侲-mail锛歱angbo907@163.com銆�
鍩洪噾璧勫姪:
鍥藉閲嶇偣鐮斿彂璁″垝椤圭洰锛�2016YFB0500402锛夛紝鍥介檯澶х瀛﹁鍒掗」鐩紙181811KYSB20160040锛夛紝鍥藉鑷劧绉戝鍩洪噾椤圭洰锛�41601398锛夊叡鍚岃祫鍔┿��

Ground-based Automatic Radiometric Calibration of Land Observation Satellite Optical Sensors and Cross Validation Analysis

Pang Bo^1锛�2锛孧a Lingling¹锛孡iu Yaokai^1锛�2锛學ang Ning¹锛孼hao Yongguang¹锛孒an Qijin³锛孧eng Fanrong¹锛孡i Chuanrong¹锛孴ang Lingli¹锛岊�僀hen Zhiming³锛學ang Guozhu³

(1.Key Laboratory of Quantitative Remote Sensing Information Technology锛孉cademy of顎僌pto-Electronics锛孋hinese Academy of Sciences锛孊eijing 100094锛孋hina;2.University of Chinese Academy of Sciences锛孊eijing 100049锛孋hina;3.China Center for Resources Satellite Data and Application锛孊eijing 100094锛孋hina;4.Inner Mongolia North Heavy Industries Group Co.Ltd锛孖nner Mongolia 014033锛孋hina)

Received:2018-03-22 Online:2019-02-20 Published:2019-04-02

鎽樿/Abstract

鎽樿锛� 閽堝浼犵粺鍦板熀杈愬皠瀹氭爣鏂规硶鏁堣垂姣斾綆銆佸崟娆″畾鏍囦笉纭畾鎬уぇ锛岄毦浠ユ弧瓒冲崼鏄熻浇鑽烽珮棰戞銆侀珮绮惧害杈愬皠瀹氭爣绛夐棶棰橈紝鍙戝睍浜嗕竴绉嶉潰鍚戝父鎬佸寲杩愯闇�姹傜殑鍏夊杞借嵎鍦板熀鑷姩杈愬皠瀹氭爣鏂规硶锛屽苟鍩轰簬鍐呰挋鍙ゅ寘澶撮檮杩戠殑绉戞妧閮ㄢ�滃浗瀹堕珮鍒嗚鲸閬ユ劅缁煎悎瀹氭爣鍦衡�濓紙涓嬬畝绉扳�滃寘澶村満鈥濓級瀵筁andsat-8/OLI鐩稿簲閫氶亾杩涜浜嗚嚜鍔ㄨ緪灏勫畾鏍囪瘯楠屽強浜ゅ弶楠岃瘉鍒嗘瀽锛屽垎鏋愮粨鏋滆〃鏄庯細2016~2017骞磋繃澧冨寘澶村満鐨�11娆andsat-8/OLI鑷姩杈愬皠瀹氭爣缁撴灉涓�鑷存�ц緝濂斤紱瀵逛簬Landsat-8/OLI鐨勮摑銆佺豢銆佺孩銆佽繎绾㈠4涓尝娈佃〃瑙傚弽灏勭巼锛屽湴鍩鸿嚜鍔ㄥ畾鏍囩粨鏋滀笌鏄熶笂缁撴灉涔嬮棿鐨勫钩鍧囩浉瀵瑰亸宸垎鍒负0.83%銆�-0.21%銆�-0.20%銆�-1.37%锛屾爣鍑嗗樊鍒欏垎鍒负2.78%銆�2.89%銆�2.94%銆�2.20%銆傝繘涓�姝ュ湴锛岃繕瀵瑰湴鍩鸿嚜鍔ㄨ緪灏勫畾鏍囪繃绋嬩腑鍚勯」璇樊鏉ユ簮杩涜浜嗛噺鍖栧垎鏋愶紝鍏跺湪Landsat-8/OLI钃濄�佺豢銆佺孩銆佽繎绾㈠4涓尝娈电殑涓嶇‘瀹氬害鍒嗗埆涓�5.06%銆�4.65%銆�4.80%銆�4.98%銆傜敱姝ゅ彲瑙佹墍鍙戝睍鐨勫湴鍩鸿嚜鍔ㄨ緪灏勫畾鏍囨柟娉曢櫎浜嗗彲浠ュ緢澶х▼搴︿笂鎻愬崌闄嗗湴鍗槦澶栧満瀹氭爣鐨勯娆★紝瀹氭爣缁撴灉浜﹀叿鏈夎緝濂界殑绋冲畾鎬т笌鍙潬鎬э紝瀵逛簬闄嗗湴鍗槦鍏夊杞借嵎杈愬皠鎬ц兘鐨勫姩鎬佺洃娴嬪強鏁版嵁璐ㄩ噺淇濊瘉鍏锋湁閲嶈鎰忎箟銆�

鍏抽敭璇�: 鑷姩杈愬皠瀹氭爣, 鍖呭ご瀹氭爣鍦�, 涓嶇‘瀹氬害浼拌, Landsat-8/OLI

Abstract: Due to the low cost-effectiveness and large uncertainty of single calibration for traditional ground-based radiometric calibration methods锛宨t is difficult to meet the requirement ofhigh-precision radiometric calibration of satellite payloads.Aroutinely-operated ground-based automatic radiometric calibration method was developed and applied on radiometric calibration and cross validation analysis of Landsat-8/OLI opticalsensor based on the 鈥淣ational Calibration and Validation Site for High Resolution Remote Sensors鈥� (hereinafter referred to as the 鈥淏aotou Site鈥�) in Baotou.The comparison of 11 observation results (from May 2016 to April 2017) between on-board calibration and ground-based calibrationare in good agreement锛歠or the four bands of blue锛実reen锛宺ed and near infrared锛宼he average relative deviation between ground-based calibration and on-board calibration was 0.83%锛�-0.21%锛�-0.20%锛宎nd -1.37%锛宺espectively锛寃hile the standard deviation was 2.78%锛�2.89%锛�2.94%锛宎nd 2.20%锛宺espectively.Further锛宷uantitative analyses on the sources of errors in the process of ground-based automatic radiometric calibration was conducted.The results showed that the final uncertainties of ground-based automatic radiometric calibration in the four bands of blue锛実reen锛宺ed锛宎nd near infrared were 5.06%锛�4.65%锛�4.80%锛宎nd 4.98%锛宺espectively.Good consistency between ground-based calibration and on-board calibration proved the reliability of this method锛寃hich can dramatically promote the frequency and timeliness of satellite radiometric calibration.

Key words: Automatic radiometric calibration, Baotou site, Uncertainty estimation, Landsat-8/OLI

涓浘鍒嗙被鍙�:

TP79

搴炲崥, 椹伒鐜�, 鍒樿��寮�, 鐜嬪畞, 璧垫案鍏�, 闊╁惎閲�. 闄嗗湴鍗槦鍏夊杞借嵎鍦板熀鑷姩杈愬皠瀹氭爣涓庨獙璇佸垎鏋愵�僛J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(1): 146-154.

Pang Bo, Ma Lingling, Liu Yaokai, Wang Ning, Zhao Yongguang, Han Qijin. Ground-based Automatic Radiometric Calibration of Land Observation Satellite Optical Sensors and Cross Validation Analysis[J]. Remote Sensing Technology and Application, 2019, 34(1): 146-154.

鍙傝�冩枃鐚�

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Ground-based Automatic Radiometric Calibration of Land Observation Satellite Optical Sensors and Cross Validation Analysis

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