Comparison between modified remote sensing ecological index and RSEI

نویسندگان

چکیده

ä¸ºäº†æ›´å¥½å¯¹åŸŽå¸‚ç”Ÿæ€è´¨é‡è¿›è¡Œç›‘æµ‹å’Œè¯„ä»·ï¼Œæž„å»ºä¸€ä¸ªæ›´ç²¾ç¡®çš„åŸŽå¸‚é¥æ„Ÿç”Ÿæ€æŒ‡æ•°ååˆ†å¿ è¦ã€‚æœ¬æ–‡ç»“åˆç»¿åº¦ã€æ¹¿åº¦ã€å¹²åº¦ã€çƒ­åº¦å’Œç©ºæ°”è´¨é‡æŒ‡æ ‡é‡‡ç”¨ä¸»æˆåˆ†åˆ†æžPCA(Principal Component Analysis) 构建改进型遥感生态指数MRSEI(Modified Remote Sensing Ecological Index);利用熵权法计算压力—状态—响应模型PSR (Pressure State Response Modelï¼‰ä¸­å„æŒ‡æ ‡çš„æƒé‡ï¼Œé€šè¿‡åŠ æƒæ³•èŽ·å¾—ç”Ÿæ€çŽ¯å¢ƒæŒ‡æ•°EI(Eco-environmental Index)与MRSEI和RSEIè¿›è¡Œæ¯”è¾ƒã€‚åŒæ—¶ï¼Œç»¼åˆç»¿åº¦ã€çƒ­åº¦ã€æ¹¿åº¦ã€å¹²åº¦æŒ‡æ ‡åˆ©ç”¨æ ¸ä¸»æˆåˆ†åˆ†æžKPCA(Kernel Principal Analysis)构建非线性遥感生态指数NRSEI(Nonlinear Index);最后将MRSEI、NRSEI分别与常用的遥感生态指数RSEI(Remote Index)进行对比和分析。结果表明,MRSEI可体现空气质量空间分布对城市生态质量的影响,2014年和2017å¹´MRSEI与EIçš„ç›¸å ³ç³»æ•°åˆ†åˆ«æ˜¯0.829和0.857(P<0.01),比RSEI与EIçš„ç›¸å ³ç³»æ•°åˆ†åˆ«æé«˜0.035和0.055。在主城区MRSEI和RSEI与EI比较结果表明,MRSEIçš„å¹³å‡ç»å¯¹è¯¯å·®ã€å‡æ–¹æ ¹è¯¯å·®å’Œå¹³å‡ç›¸å¯¹è¯¯å·®å‡å°äºŽRSEI,表明MRSEIæ›´é€‚ç”¨äºŽåŸŽå¸‚ç”Ÿæ€è´¨é‡è¯„ä»·ï¼Œç©ºæ°”è´¨é‡æŒ‡æ ‡å¯¹åŒ—äº¬å¸‚ç”Ÿæ€çŽ¯å¢ƒç›‘æµ‹ã€è¯„ä»·æ˜¯éžå¸¸é‡è¦çš„ã€‚åŒæ—¶ï¼Œåœ¨å®žéªŒåŒºKPCA第一主成分贡献率比PCA提高了11.94%—21.45%ï¼›å„ä¸ªæŒ‡æ ‡ä¸ŽNRSEIç›¸å ³ç³»æ•°æ¯”ä¸ŽRSEI提高了0.128—0.198;NRSEI可体现生态等级间的过渡,RSEI对生态环境差的区域有时低估,对生态环境优的区域有时高估,NRSEIä¸Žé¥æ„Ÿå½±åƒå®šæ€§åæ˜ çš„ç”Ÿæ€çŠ¶å†µæ›´åŠ ç›¸ç¬¦ã€‚åœ¨ç›‘æµ‹ç©ºæ°”è´¨é‡ä¸¥å³»çš„åŒ—äº¬å¸‚ç”Ÿæ€è´¨é‡æ–¹é¢ï¼ŒMRSEI优于RSEIï¼›é¡¾åŠå„æŒ‡æ ‡é—´çš„å¼±çº¿æ€§æˆ–éžçº¿æ€§é—®é¢˜çš„NRSEI监测生态环境质量效果优于利用线性变换的RSEI。

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ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2022

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20229338