A primary study on downscaling microwave soil moisture with MOD16 and SMAP

نویسندگان

چکیده

局域尺度上的水文或农业应用亟需较高空间分辨率的土壤湿度(SMï¼‰æ•°æ®ï¼Œå¾®æ³¢åœŸå£¤æ¹¿åº¦ç©ºé—´é™å°ºåº¦æ˜¯å®žçŽ°è¿™ä¸€éœ€æ±‚çš„é‡è¦é€”å¾„ã€‚å ¶ä¸­â€œå ‰å­¦/热红外与微波数据融合”的降尺度方法展现出了较大的应用潜力,然而这类方法依赖于遥感地表温度LST(Land Surface Temperature)或由LST分解得到的SM指数,受限于LST“云污染”、LST与SM解耦效应和LST分解不确定性等问题。为规避上述问题,本文通过构建3种地表蒸散效率LEE(Land surface Evapotranspiration Efficiency)与SMçš„é™å°ºåº¦å‡½æ•°å ³ç³»ï¼ˆæŒ‡æ•°ã€ä½™å¼¦ã€ä½™å¼¦å¹³æ–¹ï¼‰ï¼Œåˆ©ç”¨MODIS地表蒸散数据(MOD16A2)计算得到的LEE(空间分辨率500 m)实现了SMAP土壤湿度产品(空间分辨率36 kmï¼‰çš„ç©ºé—´é™å°ºåº¦ã€‚ç ”ç©¶ä»ŽåŠ¨æ€èŒƒå›´ã€èƒ½é‡å®ˆæ’ã€SM地面稀疏验证站、SMåœ°é¢æ ¸å¿ƒéªŒè¯ç«™ç­‰è§’åº¦å¯¹é™å°ºåº¦ç®—æ³•è¿›è¡Œè¯„ä»·åˆ†æžã€‚ç»“æžœè¡¨æ˜Žï¼Œæœ¬ç®—æ³•æœ‰æ•ˆå¢žåŠ äº†åŽŸSM产品的空间细节特征、保持了原SM产品的动态范围并且降尺度前后能量守恒;与地面验证数据的对比分析表明,降尺度结果有效保持了原SM与地面实测数据的良好一致性;敏感性分析表明,余弦平方函数对MOD16A2产品误差的敏感性相对最小。

برای دانلود رایگان 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

Passive microwave soil moisture downscaling using evaporative fraction

This paper develops two different approaches for downscaling (disaggregation) passive microwave derived soil moisture from coarse resolution L-band observations. Ground and airborne data collected over Walnut Gulch experimental watershed during the Monsoon ’90 experiment were used to test these approaches. These data consisted of eight micrometeorological stations (METFLUX) and six flights of t...

متن کامل

Soil Moisture Active/Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration

 Abstract— The SMAP microwave radiometer is a fully-polarimetric L-band radiometer flown on the SMAP satellite in a 6 AM/ 6 PM sun-synchronous orbit at 685 km altitude. Since April, 2015, the radiometer is under calibration and validation to assess the quality of the radiometer L1B data product. Calibration methods including the SMAP L1B TA2TB (from Antenna Temperature (TA) to the Earth’s surf...

متن کامل

Sensitivity Analysis of b-factor in Microwave Emission Model for Soil Moisture Retrieval: A Case Study for SMAP Mission

Sensitivity analysis is critically needed to better understand the microwave emission model for soil moisture retrieval using passive microwave remote sensing data. The vegetation b-factor along with vegetation water content and surface characteristics has significant impact in model prediction. This study evaluates the sensitivity of the b-factor, which is function of vegetation type. The anal...

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.20209253