Estimating Soil Moisture in the Middle and Upper Reaches of the Heihe River Basin based on AMSR2 Multi-brightness Temperature

Zheng Lu; Menglei Han; Hui Lu; Xueting Peng; Shasha Meng; Jin Liu; Xiaofan Yang

doi:10.11873/j.issn.1004-0323.2020.1.0033

Remote Sensing Technology and Application 鈥衡�� 2020, Vol. 35 鈥衡�� Issue (1): 33-47.DOI: 10.11873/j.issn.1004-0323.2020.1.0033

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Estimating Soil Moisture in the Middle and Upper Reaches of the Heihe River Basin based on AMSR2 Multi-brightness Temperature

Zheng Lu¹(),Menglei Han²,Hui Lu³,Xueting Peng⁴,Shasha Meng⁵,Jin Liu¹,Xiaofan Yang¹()

^1. State Key Laboratory of Earth Surface Processes and Resource Ecology and School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
^2. Department of Earth System Science, Tsinghua University, Beijing 10084, China
^3. Beijing Meteorological Disaster Prevention Center, Beijing 100089, China
^4. The Administrative Center of China鈥檚 Agenda 21, Beijing 100038, China
^5. School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100084, China

Received:2019-12-15 Revised:2020-01-19 Online:2020-04-01 Published:2020-02-20
Contact: Xiaofan Yang

鍩轰簬AMSR2澶氶浜俯鐨勯粦娌虫祦鍩熶腑涓婃父鍦熷￥姘村垎浼扮畻鐮旂┒

闄嗗偿¹(),闊╁瓱纾�²,鍗㈤壕³,褰洩濠�⁴,钂欒帋鑾�⁵,鍒樿繘¹,鏉ㄦ檽甯�¹()

^1. 鍖椾含甯堣寖澶у鍦拌〃杩囩▼涓庤祫婧愮敓鎬佸浗瀹堕噸鐐瑰疄楠屽锛屽湴鐞嗙瀛﹀閮ㄨ嚜鐒惰祫婧愬闄紝鍖椾含 100875
^2. 鍖椾含甯傛皵璞＄伨瀹抽槻寰′腑蹇冿紝鍖椾含 100089
^3. 娓呭崕澶у鍦扮悆绯荤粺绉戝绯伙紝鍖椾含 100084
^4. 涓浗21涓栫邯璁▼绠＄悊涓績锛屽寳浜� 100038
^5. 鍖椾含甯堣寖澶у鍦扮悊绉戝瀛﹂儴鍦扮悊瀛﹂櫌锛屽寳浜� 100875

閫氳浣滆��: 鏉ㄦ檽甯�
浣滆�呯畝浠�:闄� 宄ワ紙1990-锛夛紝鐢凤紝姹熻嫃鎵腑浜猴紝鍗氬＋鐮旂┒鐢�,涓昏浠庝簨鐢熸�佹按鏂囨ā鎷熺瓑鏂归潰鐨勭爺绌躲�侲?mail:legend.lz@mail.bnu.edu.cn銆�

Abstract

Abstract:

An approach to estimate soil moisture from AMSR2 multi-brightness temperature observations is preliminarily investigated in the middle and upper reaches of the Heihe River Basin (HRB). Based on the statistical relation between soil moisture and microwave emissivity from soil, a method called 鈥�4-grid cross-fitness鈥� is used to obtain the statistical relation between in-situ soil moisture and soil temperature measurements of 4 WSN pixels in the upper reaches of the HRB during the period July, 2013~June, 2014. Then soil moisture in the middle and upper reaches of the HRB is retrieved. The retrieved soil moisture is compared with WSN soil moisture measurements, along with AMSR2 soil moisture products and GLDAS soil moisture product during the period July, 2014~October, 2014. The results show that the retrieved soil moisture perform remarkably better than the other 5 soil moisture products.Moreover, spatial patterns of the retrieved soil moisture and GLDAS soil moisture products are compared and analyzed as well via the auxiliary DEM and Landcover datasets. The results indicate that the spatial distribution of retrieved soil moisture perform with higher reasonability than GLDAS. This method may probably provide a feasible way for soil moisture retrieval over basin scales.

Key words: Soil moisture, AMSR2, Soil emissivity, Soil temperature, The middle and upper reaches of the Heihe River Basin

鎽樿锛�

浠ラ粦娌虫祦鍩熶腑涓婃父涓虹爺绌跺尯锛屽垵姝ユ帰绌朵簡鍒╃敤AMSR2鍗槦鐨勫棰戜寒搴︽俯搴︽暟鎹及绠楀湡澹ゆ按鍒嗙殑鏂规硶銆傚熀浜庡湡澹ゆ按鍒嗗拰鍦熷￥鍙戝皠鐜囩殑缁熻鍏崇郴锛岄�氳繃榛戞渤娴佸煙涓婃父鐨�4涓儚鍏�2013骞�7鏈堣嚦2014骞�6鏈堝唴鐨勫疄娴嬪湡澹ゆ按鍒嗗拰鍦熷￥娓╁害鏁版嵁锛岄噰鐢ㄤ簡鈥滃洓鍍忓厓浜ゅ弶鎷熷悎娉曗�濊幏寰椾簡缁熻绯绘暟锛屽苟鐢ㄦ鏂规硶浼扮畻鍑轰簡榛戞渤娴佸煙涓笂娓哥殑鍦熷￥姘村垎銆傞噰鐢�2014骞�7鏈堣嚦2014骞�10鏈堝唴浼扮畻鐨勫湡澹ゆ按鍒嗭紝杩炲悓涓嶢MSR2鐨�4涓父鐢ㄧ殑鍦熷￥姘村垎浜у搧鍜孏LDAS鍦熷￥姘村垎浜у搧鍦ㄦ椂闂村簭鍒椾笂锛屼笌鍏疂娌虫祦鍩焀SN鍦熷￥姘村垎鍦伴潰瑙傛祴灞曞紑浜嗗姣旈獙璇侊紝缁撴灉琛ㄦ槑浼扮畻鍦熷￥姘村垎绮惧害鏄庢樉楂樹簬涓婅堪5绉嶄骇鍝併�傚悓鏃跺�熷姪楂樼▼鍜屽湡鍦拌琚緟鍔╂暟鎹紝涓嶨LDAS鍦熷￥姘村垎鍦ㄧ┖闂存牸灞�涓婅繘琛屼簡姣旇緝锛屽彂鐜颁及绠楀湡澹ゆ按鍒嗘椂绌哄垎甯冪壒寰佹洿鍔犲悎鐞嗐�傝鏂规硶鍙负娴佸煙灏哄害鐨勫湡澹ゆ按鍒嗗弽婕斾笌鐩戞祴鎻愪緵浜嗕竴绉嶇畝鑰屾槗琛岀殑鎬濇兂鏂规硶鍜屽彲琛屼箣璺��

鍏抽敭璇�: 鍦熷￥姘村垎, AMSR2, 鍦熷￥鍙戝皠鐜�, 鍦熷￥娓╁害, 榛戞渤娴佸煙涓笂娓�

CLC Number:

TP79

Zheng Lu,Menglei Han,Hui Lu,Xueting Peng,Shasha Meng,Jin Liu,Xiaofan Yang. Estimating Soil Moisture in the Middle and Upper Reaches of the Heihe River Basin based on AMSR2 Multi-brightness Temperature[J]. Remote Sensing Technology and Application, 2020, 35(1): 33-47.

闄嗗偿,闊╁瓱纾�,鍗㈤壕,褰洩濠�,钂欒帋鑾�,鍒樿繘,鏉ㄦ檽甯�. 鍩轰簬AMSR2澶氶浜俯鐨勯粦娌虫祦鍩熶腑涓婃父鍦熷￥姘村垎浼扮畻鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(1): 33-47.

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Estimating Soil Moisture in the Middle and Upper Reaches of the Heihe River Basin based on AMSR2 Multi-brightness Temperature

鍩轰簬AMSR2澶氶浜俯鐨勯粦娌虫祦鍩熶腑涓婃父鍦熷￥姘村垎浼扮畻鐮旂┒

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