閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2008, Vol. 23 鈥衡�� Issue (2): 147-153.DOI: 10.11873/j.issn.1004-0323.2008.2.147

鈥� 鐮旂┒涓庡簲鐢� 鈥� 涓婁竴绡�    涓嬩竴绡�

鍩轰簬MODIS鏁版嵁鐨勭帀绫虫琚弬鏁颁及绠楁柟娉曠殑瀵规瘮鍒嗘瀽

鏉ㄩ1,2,寮犳煆1,鐜嬪畻鏄�1,瀹嬪紑灞�1,鍒樻浼�1,鍒樼剷鍐�1,2,鍥藉織鍏�1,2,闈冲崕瀹�1,2,鏉庡嚖绉�1,2,鏉滃槈1,2   

  1. 锛�1.涓浗绉戝闄笢鍖楀湴鐞嗕笌鍐滀笟鐢熸�佺爺绌舵墍,鍚夋灄 闀挎槬 130012锛涱��
    2.涓浗绉戝闄㈢爺绌剁敓闄�,鍖椾含 100039锛�
  • 鏀剁鏃ユ湡:2007-12-01 淇洖鏃ユ湡:2008-03-03 鍑虹増鏃ユ湡:2008-04-20 鍙戝竷鏃ユ湡:2011-10-24
  • 浣滆�呯畝浠�:鏉ㄩ锛�1981-锛�,鐢�,鍗氬+鐮旂┒鐢�,鐮旂┒鏂瑰悜涓烘琚珮鍏夎氨瀹氶噺閬ユ劅鍙婂叾搴旂敤鐮旂┒銆侲-mail锛歽angf00_1@163.com銆傤��
  • 鍩洪噾璧勫姪:

    涓浗绉戝闄笢鍖楁尟鍏寸鎶�琛屽姩璁″垝閲嶇偣椤圭洰“鍚夋灄鐪佸啘浣滅墿閬ユ劅鐩戞祴绌洪棿绯荤粺寤鸿”锛涗腑鍥界瀛﹂櫌鐭ヨ瘑鍒涙柊宸ョ▼閲嶈鏂瑰悜椤圭洰(KZCX-SW-356)锛涘浗瀹惰嚜鐒剁瀛﹀熀閲戦」鐩�(40401003)锛涗腑鍥界瀛﹂櫌璧勬簮鐜棰嗗煙閲庡鍙扮珯鍩洪噾銆�

Comparison of Methods for Estimating Corn Canopy Parameters Based on MODIS Data

YANG Fei 1,2,ZHANG Bai顎�1,WANG Zong-ming 1,SONG Kai-shan 1,LIU Dian-wei 1,LIU Huan-jun 1,2,GUO Zhi-xing 1,2,JIN Hua-an 1,2,LI Feng-xiu 1,2,DU Jia 1,2顎�   

  1.  (1.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012;顎�2.Graduate School of Chinese Academy of Sciences,Beijing 100039)
  • Received:2007-12-01 Revised:2008-03-03 Online:2008-04-20 Published:2011-10-24

鎽樿锛�

鍩轰簬瀹炴祴鏁版嵁寤虹珛浜咶PAR銆丩AI鐨勬琚寚鏁颁及绠楁ā鍨嬶紙NDVI銆丷VI銆丯DWI锛夛紝骞跺皢鍏跺簲鐢ㄤ簬MODIS BRDF鏁版嵁瀵瑰痉鎯犲湴鍖虹帀绫矲PAR銆丩AI杩涜浼扮畻锛岀劧鍚庡皢MODIS 15A2 FPAR/LAI浜у搧鍊煎垎鍒笌BRDF浼扮畻鍊笺�佸湴闈㈠疄娴嬪�艰繘琛屽姣斿垎鏋愩�備富瑕佸緱鍑轰互涓嬬粨璁猴細妞嶈鎸囨暟NDVI銆丷VI閮借兘杈冨ソ鍦扮敤浜庡疄娴嬫暟鎹拰MODIS BRDF鏁版嵁鐨凢PAR銆丩AI浼扮畻锛汵DWI铏界劧鍦ㄥ疄娴嬫暟鎹腑浼扮畻鐜夌背FPAR銆丩AI鐨勬晥鏋滀紭浜嶯DVI銆丷VI锛屼絾鍏跺簲鐢ㄤ簬MODIS BRDF鏁版嵁浼扮畻FPAR銆丩AI鏃讹紝鏁堟灉鍗磋緝宸�侭RDF鏁版嵁浼扮畻FPAR涓嶮ODIS 15A2 FPAR鍊肩殑鍏崇郴鍥犵敓闀挎椂鏈熶笉鍚岃�屽紓锛屽湪鐜夌背鐢熼暱鍓嶆湡锛屽墠鑰呴珮浜庡悗鑰咃紝鑰岀敓闀垮悗鏈熶袱鑰呭嵈杈冪浉杩戯紱BRDF浼扮畻LAI鍊间竴鐩撮兘楂樹簬MODIS 15A2 LAI浜у搧鍊笺�傜敓闀垮鍓嶆湡锛孧OD15A2 FPAR銆丩AI鍊兼帴杩戝疄娴嬪�硷紝鑰屽湪鍚庢湡鍗撮珮浜庡疄娴嬪�笺�傞�氳繃鍒嗘瀽涔熻〃鏄庯紝鐜夌背鑻楁湡MODIS 15A2 FPAR鏁板�煎彉鍖栬寖鍥磋緝灏忥紝浜у搧绠楁硶瀵瑰疄闄匜PAR鍙樺寲灏氫笉澶熸晱鎰燂紝杩欏彲鑳芥槸褰卞搷MODIS FPAR浜у搧绮惧害鐨勪竴涓師鍥犮��

鍏抽敭璇�: 鐜夌背, FPAR, LAI, MODIS, BRDF

Abstract:

 Based on the field measured data of corn,this paper established FPAR and LAI estimated models of the vegetation indices锛圢DVI,RVI,NDWI锛�,which were used to calculate FPAR and LAI with the MODIS BRDF (Bi-directional Reflectance Distribution Function) product of two periods.MODIS 15A2 FPAR/LAI,FPAR/LAI estimated by the vegetation indices models and BRDF data,and field measured FPAR/LAI data were compared.It can be concluded that NDVI,RVI were efficient to estimate FPAR and LAI for measured data and remote sensing data,NDWI was good for measured data but not for remote sensing data for atmospheric effect.The relation between FPAR/LAI estimated by BRDF data and the MODIS product was dependant on the growth periods,the vegetation indices estimated FPAR and LAI were larger than the product in the prophase of corn growing,but had the close value in the anaphase.The MOD15A2 FPAR and LAI are close to the measured data in the prophase,but smaller than the field data in the anaphase.The results showed that MODIS 15A2 FPAR variation was not sensitive enough for the field FPAR changes,which maybe a factor of restricting FPAR product precision.

Key words:  Corn, FPAR, LAI, MODIS, BRDF

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