Tracking dynamic river networks in the Tibetan Plateau with high-resolution CubeSat imagery

نویسندگان

چکیده

æ²³æµç½‘ç»œæ˜¯åœ°è¡¨æ°´å¾ªçŽ¯çš„é‡è¦ç»„æˆéƒ¨åˆ†ï¼Œå¦‚ä½•å®žçŽ°æ²³æµç½‘ç»œåŠ¨æ€ç›‘æµ‹å·²æˆä¸ºæ²³æµé¥æ„Ÿç ”ç©¶çš„çƒ­ç‚¹ã€‚è¿‘å¹´æ¥ï¼Œä»¥PlanetScope为代表的CubeSatå°å«æ˜Ÿå·²å ·å¤‡äº†ç±³çº§ç©ºé—´åˆ†è¾¨çŽ‡ã€1 d重访周期的优势,这为河流网络高时空分辨率动态监测提供了可能。本文以青藏高原长江源区的通天河流域(227 km2ï¼‰ä¸ºç ”ç©¶åŒºï¼Œé€‰å–2017-05—2017-10 5期3 m空间分辨率CubeSaté¥æ„Ÿå½±åƒï¼Œå¢žå¼ºæ²³æµæ¨ªçºµå‰–é¢ç‰¹å¾è‡ªåŠ¨åŒ–æå–äº†æ²³æµç½‘ç»œï¼Œç ”ç©¶äº†é€šå¤©æ²³æµåŸŸæ²³æµç½‘ç»œåŠ¨æ€å˜åŒ–ï¼Œå¯¹æ¯”åˆ†æžäº†3 m CubeSat与30 Landsat 8、10 Sentinel-2所提取的河流网络,以及5种现有水体数据集(GRWL,GSW,FROM-GLC 2017,OpenStreetMap,HydroSHEDSï¼‰ã€‚ç ”ç©¶ç»“æžœè¡¨æ˜Žï¼šï¼ˆ1ï¼‰ç ”ç©¶åŒºå† æ²³æµç½‘ç»œ5月水系密度较低(0.38 km-1),7—8æœˆæ²³æµç½‘ç»œè¿›å ¥ä¸°æ°´æœŸï¼Œæ°´ç³»å¯†åº¦æ˜¾è‘—å¢žåŠ è‡³0.61 km-1,9æœˆæ²³æµç½‘ç»œè¿›å ¥å¹³æ°´æœŸï¼Œæ°´ç³»å¯†åº¦è¶‹äºŽå¹³ç¨³ï¼ˆ0.53 km-1ï¼‰ï¼ŒéšåŽè¿ é€Ÿé€€åŒ–å¹¶äºŽ10æœˆå¼€å§‹å†»ç»“ï¼Œæ°´ç³»å¯†åº¦è¿ é€Ÿé™ä½Žè‡³0.37 km-1;(2)采用高空间分辨率CubeSat所提取的河流网络能够识别更多细小河流(河宽3—30 m),CubeSat所提取的河流总长分别为Landsat 8、Sentinel-2所提取河流总长的1.6倍和1.3倍;(3)CubeSat所提取的河流网络水系密度高于现有水体数据集(2.9—12.4å€ï¼‰ï¼Œå¼¥è¡¥äº†çŽ°æœ‰æ°´ä½“æ•°æ®é›†æ— æ³•åæ˜ ç»†å°æ²³æµçš„ä¸è¶³ã€‚

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ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2021

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20219268