Cloud removal and optimal threshold selection of MODIS NDSI production

نویسندگان

چکیده

归一化差值积雪指数NDSI(Normalized Difference Snow Index)是积雪识别中最常用的指数,但由于云的遮挡限制了MODIS NDSIäº§å“çš„åº”ç”¨ã€‚æœ¬æ–‡æå‡ºäº†ä¸€ç§åŸºäºŽé‚»è¿‘ç›¸ä¼¼åƒå ƒçš„MODIS NDSIäº§å“åŽ»äº‘æ–¹æ³•ï¼Œå¹¶åˆ†æžäº†æ— äº‘NDSI序列在积雪识别中的最优阈值。对于NDSIå½±åƒä¸ŠæŸä¸€ä¸ªäº‘é®æŒ¡çš„ç›®æ ‡åƒå ƒï¼Œé€‰å–ç›®æ ƒçš„nä¸ªé‚»è¿‘ç›¸ä¼¼åƒå ƒè¿›è¡ŒåŠ æƒå¹³å‡æ¥é¢„æµ‹è¯¥ç›®æ ƒçš„NDSI值。以东北积雪区2017å¹´10月1日—2018å¹´4月31日一个积雪季的NDSIäº§å“è¿›è¡ŒåŽ»äº‘å®žéªŒï¼Œå¹¶é‡‡ç”¨â€œäº‘å‡è®¾â€çš„æ–¹æ³•è¿›è¡Œäº†æ£€éªŒï¼Œæ‰€é¢„æµ‹åˆ°çš„äº‘è¦†ç›–åƒå ƒNDSIå€¼ä¸Žå®žé™ å€¼çš„ç›¸å ³ç³»æ•°è¾¾åˆ°0.95ï¼Œå‡æ–¹æ ¹è¯¯å·®ä¸º0.08ã€‚å°†é€æ—¥æ— äº‘NDSIåºåˆ—ä¸Žæ°”è±¡ç«™ç‚¹æµ‹é‡çš„é›ªæ·±åºåˆ—è¿›è¡Œå¯¹æ¯”ï¼ŒäºŒè€ å ·æœ‰å¾ˆå¥½çš„ä¸€è‡´æ€§ã€‚æ°”è±¡ç«™ç‚¹çš„æµ‹é‡é›ªæ·±å¤§äºŽç­‰äºŽ1 cmæ—¶ï¼Œå‡å®šè¯¥ç«™ç‚¹æ‰€åœ¨çš„åƒå ƒä¸ºæœ‰é›ªåƒå ƒï¼Œå¹¶ä»¥æ­¤ä¸ºçœŸå€¼ï¼Œåˆ†æžæ— äº‘NDSI序列在积雪识别中的最优阈值。结果表明,非森林地区NDSI阈值为0.1时积雪提取的精度最高,可以达到95.6%;森林地区的NDSI最优阈值为0,对应的积雪提取精度为93.5%。

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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.20210169