閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2022, Vol. 37 鈥衡�� Issue (1): 1-7.DOI: 10.11873/j.issn.1004-0323.2022.1.0001

鈥� 闈掍績浼氬崄鍛ㄥ勾涓撴爮 鈥�    涓嬩竴绡�

MRSEI鎸囨暟鐨勫悎鐞嗘�у垎鏋愬強鍏朵笌RSEI鎸囨暟鐨勫尯鍒�

寰愭兜绉�1,2(),閭撴枃鎱�1,2   

  1. 1.绂忓窞澶у鐜涓庤祫婧愬闄� 绂忓窞澶у閬ユ劅淇℃伅宸ョ▼鐮旂┒鎵�锛岀寤� 绂忓窞 350116
    2.绂忓缓鐪佹按鍦熸祦澶遍仴鎰熺洃娴嬭瘎浠烽噸鐐瑰疄楠屽锛岀寤� 绂忓窞 350116
  • 鏀剁鏃ユ湡:2021-11-29 淇洖鏃ユ湡:2022-01-10 鍑虹増鏃ユ湡:2022-02-20 鍙戝竷鏃ユ湡:2022-04-08
  • 浣滆�呯畝浠�:寰愭兜绉嬶紙1955-锛夛紝鐢凤紝姹熻嫃鐩愬煄浜猴紝鏁欐巿锛屼富瑕佷粠浜嬬幆澧冭祫婧愰仴鎰熷簲鐢ㄧ爺绌躲�侲?mail: hxu@fzu.edu.cn
  • 鍩洪噾璧勫姪:
    鍥藉鑷劧绉戝鍩洪噾椤圭洰(31971639)

Rationality Analysis of MRSEI and Its Difference with RSEI

Hanqiu Xu1,2(),Wenhui Deng1,2   

  1. 1.College of Environment and Safety Engineering锛孖nstitute of Remote Sensing Information Engineering锛孎uzhou University锛孎uzhou 350116锛孋hina
    2.Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion锛孎uzhou 350116锛孋hina
  • Received:2021-11-29 Revised:2022-01-10 Online:2022-02-20 Published:2022-04-08

鎽樿锛�

閬ユ劅鐢熸�佹寚鏁帮紙RSEI锛夎嚜鎻愬嚭浠ユ潵锛屽凡寰楀埌骞挎硾鐨勫簲鐢ㄣ�傝繎骞存潵锛屼篃鏈夊鑰呭鍏惰繘琛屼簡淇敼銆傜爺绌跺熀浜庝富鎴愬垎鍙樻崲鐨勬満鐞嗗拰搴旂敤瀹炰緥锛屽垎鏋愪簡淇敼鐨勯仴鎰熺敓鎬佹寚鏁帮紙MRSEI锛夌殑鍚堢悊鎬у強鍏朵笌RSEI鐨勫尯鍒�傜粨鏋滆〃鏄庯細MRSEI鎸囨暟灏嗕笉鍏风敓鎬佸惈涔夌殑绗簩涓绘垚鍒嗗拰绗笁涓绘垚鍒嗗姞鍏ュ叿鏈夋槑纭敓鎬佸惈涔夌殑绗竴涓绘垚鍒嗚繘琛屽姞鏉冩眰鍜岃绠楋紝鍏剁粨鏋滀笉浠呴檷浣庝簡绗竴涓绘垚鍒嗙殑鍗犳瘮锛屾棤娉曞鍔犲師RSEI鐨勪俊鎭噺锛岃�屼笖杩樺鑷村悇涓绘垚鍒嗗垎閲忎簰鐩稿共鎵帮紝閫犳垚MRSEI缁撴灉鐨勪綆浼版垨楂樹及銆傚洜姝わ紝杩欎竴淇敼缂轰箯鍚堢悊鎬с�傜爺绌跺悓鏃惰繕瀵圭敤鎴峰湪璁$畻RSEI鎸囨暟涓鍒扮殑涓�浜涢棶棰樿繘琛屽垎鏋愩�俁SEI鍦ㄤ娇鐢ㄤ腑搴旀敞鎰忛噰鐢ㄦ鐗╃敓闀垮鑺傜殑鍦拌〃鍙嶅皠鐜囨暟鎹紱褰撶爺绌跺尯鏈夊ぇ闈㈢Н姘翠綋鏃讹紝蹇呴』瀵规按浣撹繘琛屾帺鑶滐紱鑰屽彧鏈夊綋瀵圭敓鎬佽捣姝i潰褰卞搷鐨勭豢搴︼紙NDVI锛夊拰婀垮害锛圵et锛夋寚鏍囧湪PC1鐨勮浇鑽蜂负璐熷�兼椂锛屾墠蹇呴』杩涜鈥�1 鈥� PC1鈥濈殑杩樺師杩愮畻銆�

鍏抽敭璇�: RSEI, MRSEI, 涓绘垚鍒嗗彉鎹�

Abstract:

The Remote Sensing based Ecological Index 锛圧SEI锛� has been widely used since its publication and was modified recently. In this paper锛� the differences between RSEI and the Modified Remote Sensing Ecological Index 锛圡RSEI锛� are analyzed and compared based on the principle of the principal component analysis and an application case. The results show that the MRSEI index unreasonably adds the second principal component 锛圥C2锛� and the third principal component 锛圥C3锛� into the first principal component 锛圥C1锛夛紝 as PC2 and PC3 have no clear ecological meanings. The addition also reduces the weight of PC1. Therefore锛� the MRSEI does not improve the original RSEI锛� but reduces the value of RSEI as the added principal component components can cancel each other. Therefore锛� the modification made in MRSEI lacks rationality. This paper also analyzes and discusses some issues that users encountered in calculating and applying the RSEI index. The RSEI should be calculated using surface reflectance data rather than the top of atmospheric reflectance data or Digital Numbers 锛圖Ns锛�. Also锛� the imagery should be acquired in plant growing seasons. When there is large-area open water in study images锛� the water must be masked in advance. The "1鈥揚C1" procedure can only be performed when the loadings of the greenness and wetness indicators in PC1 have negative signs.

Key words: RSEI, MRSEI, Principal components transformation

涓浘鍒嗙被鍙�: