A remote sensing method for retrieving soil salinity based on CYGNSS: Taking the Yellow River Delta as an example

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چکیده

åœŸå£¤ç›ç¢±èƒè¿«æ˜¯æ¤ç‰©ç”Ÿäº§åŠ›ä½Žä¸‹çš„å ³é”®å› ç´ ï¼Œä¹Ÿæ˜¯å ¨çƒç›ç¢±åŒºå¯æŒç»­å‘å±•çš„ç“¶é¢ˆï¼›å¦‚ä½•è¾ƒä¸ºé«˜æ•ˆå¯é åœ°èŽ·å–åŒºåŸŸåœŸå£¤ç›åˆ†ä¿¡æ¯æ˜¯éœ€è¦ä¼˜å ˆè§£å†³çš„é—®é¢˜ã€‚éšç€å ¨çƒå¯¼èˆªå«æ˜Ÿç³»ç»Ÿåå°„æµ‹é‡GNSS-R(Global Navigation Satellite System Reflectometryï¼‰çš„è¿ é€Ÿå‘å±•ï¼Œè¿ç”¨æ˜Ÿè½½GNSS-Ræµ‹é‡åŒºåŸŸèŒƒå›´çš„åœŸå£¤ç›åˆ†æˆä¸ºä¸€ç§å¯èƒ½ã€‚å ¨çƒé£“é£Žå¯¼èˆªå«æ˜Ÿç³»ç»ŸCYGNSS(The Cyclone Global System)作为星载GNSS-Rè®¡åˆ’çš„é‡è¦ç»„æˆéƒ¨åˆ†ä¹‹ä¸€ï¼Œå ¶å«æ˜Ÿä¼ æ„Ÿå™¨ä½¿ç”¨çš„L波段能够敏感地获取土壤介电常数信息,为反演土壤盐分提供了理论基础。本文以CYGNSSä½œä¸ºä¸»è¦æ•°æ®æºï¼Œé€‰å–åœŸå£¤ç›æ¸åŒ–ååˆ†ä¸¥é‡ä¸”å ·æœ‰å ¸åž‹ä»£è¡¨æ€§çš„é»„æ²³ä¸‰è§’æ´²åŒºåŸŸä½œä¸ºç ”ç©¶åŒºåŸŸï¼Œé¦–æ¬¡æŽ¢è®¨CYGNSSåæ¼”åœŸå£¤ç›åˆ†çš„å¯è¡Œæ€§ï¼Œå¹¶å»ºç«‹äº†ä¸€å¥—åœŸå£¤ç›åˆ†çš„åæ¼”æ–¹æ³•ã€‚é¦–å ˆï¼Œåˆ©ç”¨åŸºäºŽç›¸å¹²ä¿¡å·çš„åŒåŸºé›·è¾¾æ–¹ç¨‹å¯¹ CYGNSS æ•°æ®è¿›è¡Œè®¡ç®—èŽ·å–åœ°è¡¨åå°„çŽ‡ï¼Œå¹¶æ ¡æ­£åœ°è¡¨åå°„çŽ‡çš„åœ°è¡¨ç²—ç³™åº¦å’Œæ¤è¢«è¡°å‡æ•ˆåº”ï¼Œè®¡ç®—å¾—åˆ°åœŸå£¤ä»‹ç”µå¸¸æ•°çš„å¹ å€¼ï¼›ç„¶åŽï¼Œä»¥æ”¹è¿›çš„Dobson-S土壤介电常数模型为物理模型结合土壤水分主动—被动探测卫星SMAP(Soil Moisture Active Passive Missionï¼‰åœŸå£¤æ°´åˆ†äº§å“æ•°æ®ä¸ºä¸»è¦çš„è¾ åŠ©æ•°æ®ï¼Œæž„å»ºä¸€å¥—åœŸå£¤ç›åˆ†åæ¼”æ–¹æ³•ï¼Œå®Œæˆ2020å¹´5月份黄河三角洲高效经济生态区的土壤盐分反演;最后,利用实测电导率数值对反演结果进行真实性检验,决定系数(R2)为0.88ã€å‡æ–¹æ ¹è¯¯å·®ï¼ˆRMSE)为1.06 mS/cmï¼Œæ‹Ÿåˆç²¾åº¦è¾ƒé«˜ã€‚æœ¬ç ”ç©¶æˆæžœè¡¨æ˜Žè¿ç”¨CYGNSSåæ¼”åœŸå£¤ç›åˆ†å ·æœ‰ä¸€å®šçš„å¯è¡Œæ€§ï¼Œå¹¶ä¸ºåŒºåŸŸå°ºåº¦ä¸Šçš„åœŸå£¤ç›åˆ†æä¾›ä¸€ç§æ–°æ€è·¯ã€‚

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ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2023

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20210466