Ground validation of land surface temperature and surface emissivity from thermal infrared remote sensing data

نویسندگان

چکیده

åœ°è¡¨æ¸©åº¦ä¸Žå‘å°„çŽ‡æ˜¯åœ°è¡¨â€”å¤§æ°”ç³»ç»Ÿé•¿æ³¢è¾å°„å’Œæ½œçƒ­é€šé‡äº¤æ¢çš„ç›´æŽ¥é©±åŠ¨åŠ›ï¼Œæ˜¯æè¿°åŒºåŸŸå’Œå ¨çƒå°ºåº¦ä¸Šåœ°è¡¨èƒ½é‡å¹³è¡¡ä¸Žæ°´å¹³è¡¡çš„é‡è¦å‚æ•°ï¼Œå ¶æ—¶ç©ºå˜åŒ–ä¿¡æ¯åœ¨æ°”è±¡é¢„æµ‹ã€æ°”å€™å˜åŒ–ã€æ°´å¾ªçŽ¯ã€åœ°è´¨å‹˜æŽ¢ã€å†œæž—ç›‘æµ‹å’ŒåŸŽå¸‚çƒ­çŽ¯å¢ƒç­‰è¯¸å¤šé¢†åŸŸå ·æœ‰å¹¿æ³›çš„åº”ç”¨ã€‚çƒ­çº¢å¤–é¥æ„Ÿä½œä¸ºå½“å‰èŽ·å–åŒºåŸŸæˆ–å ¨çƒå°ºåº¦ä¸Šåœ°è¡¨æ¸©åº¦å’Œå‘å°„çŽ‡çš„æœ€æœ‰æ•ˆæ‰‹æ®µä¹‹ä¸€ï¼Œç›¸è¾ƒäºŽä¼ ç»Ÿçš„åœ°é¢ç‚¹ä½æµ‹é‡æ–¹æ³•ï¼Œå ·æœ‰ç©ºé—´è¦†ç›–èŒƒå›´å¤§å’Œé‡å¤è§‚æµ‹ç­‰ä¼˜åŠ¿ã€‚å¯¹çƒ­çº¢å¤–é¥æ„Ÿå®šé‡åæ¼”çš„åœ°è¡¨æ¸©åº¦ä¸Žå‘å°„çŽ‡äº§å“è¿›è¡Œåœ°è¡¨çœŸå®žæ€§éªŒè¯ï¼Œæœ‰åˆ©äºŽå‘çŽ°é¥æ„Ÿæ•°æ®è‡ªèº«æˆ–å ¶åæ¼”ç®—æ³•çš„ç¼ºé™·ï¼Œç¡®å®šäº§å“çš„ç²¾åº¦ä¸Žä¸ç¡®å®šåº¦ï¼Œä¾¿äºŽé¥æ„Ÿäº§å“çš„åº”ç”¨ä¸ŽæŽ¨å¹¿ã€‚æœ¬æ–‡é¦–å ˆå›žé¡¾äº†åœ°è¡¨æ¸©åº¦å’Œå‘å°„çŽ‡çš„å®šä¹‰ï¼Œé˜è¿°äº†çƒ­çº¢å¤–é¥æ„Ÿå¯åæ¼”ã€åœ°é¢å¯æµ‹é‡çš„åœ°è¡¨æ¸©åº¦å’Œå‘å°„çŽ‡çš„ç§‘å­¦å† æ¶µï¼Œå¹¶å¯¹åˆ©ç”¨çƒ­çº¢å¤–é¥æ„Ÿæ•°æ®åæ¼”åœ°è¡¨æ¸©åº¦å’Œå‘å°„çŽ‡çš„ç†è®ºå’Œæ–¹æ³•ä½œäº†æ¦‚è¿°ï¼›å¯¹åœ°è¡¨æ¸©åº¦å’Œå‘å°„çŽ‡åœ°é¢éªŒè¯çš„æ¡†æž¶ä½“ç³»ã€éªŒè¯æŒ‡æ ‡è¿›è¡Œæ€»ç»“ï¼Œå»ºç«‹äº†åŸºäºŽç²¾åº¦ã€ç²¾ç¡®åº¦ã€ä¸ç¡®å®šåº¦ã€å®Œæ•´æ€§å’Œç¨³å®šæ€§çš„éªŒè¯è¯„ä»·æŒ‡æ ‡ä½“ç³»ï¼›æ€»ç»“äº†åœ°è¡¨æ¸©åº¦å’Œåœ°è¡¨å‘å°„çŽ‡çš„åœ°é¢éªŒè¯æ–¹æ³•ã€åœ°é¢æµ‹é‡æ–¹æ³•ã€è¾ åŠ©æ•°æ®çš„èŽ·å–æ–¹æ³•ã€åœ°è¡¨æ¸©åº¦åœ°é¢æµ‹é‡çš„é‡‡æ ·æ–¹æ³•ï¼Œä»¥åŠåœ¨éªŒè¯å¼‚è´¨éžåŒæ¸©åœ°è¡¨æ—¶ä»Žç‚¹åˆ°åƒå ƒå°ºåº¦çš„åœ°è¡¨æ¸©åº¦å°ºåº¦è½¬æ¢æ–¹æ³•ç­‰ï¼Œåˆ†æžäº†åœ°é¢éªŒè¯è¿‡ç¨‹çš„ä¸»è¦è¯¯å·®æ¥æºï¼›å½’çº³äº†ç›®å‰åœ°è¡¨æ¸©åº¦å’Œåœ°è¡¨å‘å°„çŽ‡ä¸»è¦éªŒè¯ç«™ç‚¹ã€è§‚æµ‹ç½‘ç»œåŠå ¶ç©ºé—´åˆ†å¸ƒç‰¹å¾ï¼›æœ€åŽï¼Œæœ¬æ–‡è®¨è®ºäº†åœ°è¡¨æ¸©åº¦ä¸Žå‘å°„çŽ‡åœ°é¢éªŒè¯å­˜åœ¨çš„è‹¥å¹²é—®é¢˜ï¼Œå¹¶å¯¹åœ°è¡¨æ¸©åº¦ä¸Žå‘å°„çŽ‡éªŒè¯å·¥ä½œçš„å‘å±•å‰æ™¯å’Œè¶‹åŠ¿è¿›è¡Œäº†ç›¸å ³å±•æœ›ã€‚

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Recovering Surface Temperature and Emissivity from Thermal Infrared Multispectral Data

In 1992 Thermal Infrared Multispectral Scanner (TIMS) ferent lines on the same day. However, there are differdata were acquired from the NASA C-130 aircraft over ences when the same area is seen on the two days espethe Sahelian region of West Africa as part of the Hydrocially for the low emissivity values. Some of these logical and Atmospheric Pilot Experiment in the Sahel differences may be du...

متن کامل

Error sources on the land surface temperature retrieved from thermal infrared single channel remote sensing data

In this paper, a theoretical study complementary to others given in the literature about the errors committed on the land surface temperature retrieved from the radiative transfer equation in the thermal infrared region by remote sensing techniques has been analysed. For this purpose, the MODTRAN 3.5 code has been used in order to simulate different conditions and evaluate the influence of seve...

متن کامل

Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform

Currently, the main difficulty in separating the land surface temperature (LST) and land surface emissivity (LSE) from field-measured hyperspectral Thermal Infrared (TIR) data lies in solving the radiative transfer equation (RTE). Based on the theory of wavelet transform (WT), this paper proposes a method for accurately and effectively separating LSTs and LSEs from field-measured hyperspectral ...

متن کامل

Advances in thermal infrared remote sensing for land surface modeling

Over 10 years ago, John Norman and co-authors proposed a thermal-based land surface modeling strategy that treated the energy exchange and kinetic temperatures of the soil and vegetated components in a unique ‘‘Two-Source Model’’ (TSM) approach. The TSM formulation addresses key factors affecting the convective and radiative exchange within the soil–canopy–atmosphere system, focusing on the rel...

متن کامل

An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery

Land surface temperature (LST) and emissivity are important components of land surface modeling and applications. The only practical means of obtaining LST at spatial and temporal resolutions appropriate for most modeling applications is through remote sensing. While the popular split-window method has been widely used to estimate LST, it requires known emissivity values. Multispectral thermal ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of remote sensing

سال: 2021

ISSN: ['1007-4619', '2095-9494']

DOI: https://doi.org/10.11834/jrs.20211299