Remote Sensing Technology and Application 鈥衡�� 2020, Vol. 35 鈥衡�� Issue (1): 58-64.DOI: 10.11873/j.issn.1004-0323.2020.1.0058

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Study on Stability of Surface Soil Moisture during SMOS and SMAP Transit period

Yongqiang Chen1(),Na Yang1(),Xin Hu1,Mingyuan Tong2   

  1. 1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
    2. School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
  • Received:2018-10-25 Revised:2019-11-10 Online:2020-04-01 Published:2020-02-20
  • Contact: Na Yang

SMOS涓嶴MAP杩囧鏃舵琛ㄥ眰鍦熷¥姘村垎鐨勭ǔ瀹氭�х爺绌�

闄堝媷寮�1(),鏉ㄥ1(),鑳℃柊1,浣熸槑杩�2   

  1. 1. 娌冲崡鐞嗗伐澶у 娴嬬粯涓庡浗鍦熶俊鎭伐绋嬪闄� 娌冲崡 鐒︿綔 454000
    2. 涓滃寳鐢靛姏澶у 鑷姩鍖栧伐绋嬪闄� 鍚夋灄 鍚夋灄 132012
  • 閫氳浣滆��: 鏉ㄥ
  • 浣滆�呯畝浠�:闄堝媷寮猴紙1992-锛夛紝鐢凤紝娌冲崡涓夐棬宄′汉锛岀澹爺绌剁敓,涓昏浠庝簨寰尝鍦熷¥姘村垎鍙嶆紨涓庡簲鐢ㄧ爺绌躲�侲?mail:yongqiang5566@foxmail.com銆�
  • 鍩洪噾璧勫姪:
    鍥藉鑷劧绉戝鍩洪噾闈掑勾鍩洪噾椤圭洰鈥滈潪鍧囪川骞冲師鍐滃尯SMOS鍦熷¥姘村垎鍙嶆紨绠楁硶浼樺寲鐮旂┒鈥�(41501363);娌冲崡鐪佺鎶�鏀诲叧璁″垝锛堝啘涓氶鍩燂級椤圭洰鈥淪MOS/SMAP鍐滃尯鍦熷¥姘村垎绮惧噯鍙嶆紨鍙婄偣-闈㈡椂绌哄昂搴﹀尮閰嶇爺绌垛��(172102110033)

Abstract:

SMOS and SMAP are both dedicated to acquire global soil moisture information with L band radiometer. The parallel comparison between them is the key foundation for the integration of a consistent global soil moisture dataset. Though the nominal passing time of SMAP and SMOS are designed fixed, the precise time they move overhead locally may not be the same because of the variation in spatial and temporal, practically it is unable to match SMAP, SMOS and field observations in temporal rigidly, therefore the evaluation on their soil moisture retrievals is hard to carry. Research on this mismatch problem is made in the continental United States; firstly, the overlapping period of the two satellites is determined on the basis of a statistic on the time stamp of 2016~2017 SMOS and SMAP soil moisture data; then, the natural variation characteristics of surface soil moisture within this period is studied using in-situ data which having high density in temporal and large scale in spatial. Results showed that, by grouping the samples in the three conditions of entire, no precipitation and with precipitation, where the sample ratio of 98.14%, 99.51% and 88.49% in each group, respectively, meaning in most cases, the surface soil moisture presents a variation of 0.007 m3/m3, 0.007 m3/m3 and 0.012 m3/m3accordingly, which is far less than the nominal accuracy of SMOS and SMAP (0.04 m3/m3). It can be demonstrated preliminarily, 鈶� the direct comparison of SMOS and SMAP soil moisture retrievals (L2 data) is acceptable, 鈶� validation error induced by the difference of passing time can be neglected.

Key words: SMOS, SMAP, Microwave remote sensing, Surface soil moisture, Soil moisture stability

鎽樿锛�

SMOS鍜孲MAP閮芥槸涓鸿幏鍙栧叏鐞冨湡澹ゆ按鍒嗕俊鎭�岃璁$殑涓撻鍗槦锛屽潎鎼浇浜哃娉㈡杈愬皠璁°�傝繘琛屼簩鑰呯殑妯悜瀵规瘮鏄瀯寤哄叿鏈変竴鑷存�х殑鍏ㄧ悆鍦熷¥姘村垎鏁版嵁闆嗙殑鍏抽敭鍩虹銆傝櫧鐒禨MAP銆丼MOS鍚嶄箟涓婄殑杩囧鏃跺埢鏄浐瀹氱殑锛屼絾浜岃�呯殑瀹為檯杩囧鏃跺埢闅忔椂闂村拰绌洪棿鍙戠敓鍙樺寲锛屽畠浠笌鍦伴潰瀹炴祴鏁版嵁涓夎�呬箣闂撮毦浠ュ尮閰嶅舰鎴愭椂搴忎笂涓ユ牸缁熶竴鐨勬牱鏈锛屼粠鑰岀粰鍦熷¥姘村垎鍙嶆紨缁撴灉鐨勭簿搴﹁瘎瀹氬甫鏉ュ洶闅俱�傞拡瀵硅繖涓�闂锛屼互缇庡浗澶ч檰鍦板尯涓虹爺绌跺尯锛岄鍏堝2016~2017骞碨MOS銆丼MAP鍦熷¥姘村垎鏁版嵁鐨勬椂闂存埑杩涜缁熻锛屽垽瀹氫簩鑰呰繃澧冪殑浜ゅ彔鏃舵锛涜繘鑰屽埄鐢ㄩ珮瑙傛祴棰戠巼銆佸ぇ绌洪棿灏哄害鐨勫疄娴嬫暟鎹紝鐮旂┒琛ㄥ眰鍦熷¥姘村垎鍦ㄦ鏃舵鍐呯殑鑷劧鍙樺寲鐗瑰緛銆傜粨鏋滄樉绀猴紝鎸夌収鍏ㄩ儴銆佹棤闄嶆按銆佹湁闄嶆按3绉嶆潯浠讹紝鍦ㄦ牱鏈噺鍒嗗埆涓�98.14%銆�99.51%鍜�88.49%鐨勭粷澶у鏁版儏鍐典笅锛岃〃灞傚湡澹ゆ按鍒嗙殑鍙樺寲閲忎负0.007 m3/m3銆�0.007 m3/m3鍜�0.012 m3/m3锛� 杩滃皬浜嶴MOS銆丼MAP鐨勭洰鏍囩簿搴︼紙0.04 m3/m3锛夈�傚垵姝ヨ瘉瀹烇細 鈶燬MOS涓嶴MAP鐨勫湡澹ゆ按鍒嗗弽婕旂粨鏋滐紙L2鏁版嵁锛夊彲杩涜鐩存帴姣斿;鈶¤繃澧冩椂鍒诲樊寮傚楠岃瘉璇樊鐨勫奖鍝嶅彲涓嶈銆�

鍏抽敭璇�: SMOS, SMAP, 寰尝閬ユ劅, 琛ㄥ眰鍦熷¥姘村垎, 鍦熷¥姘村垎绋冲畾鎬�

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