Evaluation of microwave remote sensing soil moisture products in farming-pastoral area of Shandian river basin

نویسندگان

چکیده

ç©ºé—´ç½‘æ ¼åˆ†è¾¨çŽ‡ä¸º9 km的SMAP(Soil Moisture Active and Passive)、0.1D(Degree)的ASCAT(The Advanced Scatterometer)、 25 km的FY-3B以及25 km ESA-CCI(European Space Agency -Climate Change Initiativeï¼‰æ˜¯è¾ƒä¸ºå¹¿æ³›åº”ç”¨çš„å«æ˜Ÿé¥æ„ŸåœŸå£¤æ°´åˆ†äº§å“ï¼Œå¯¹æ•°æ®è´¨é‡çš„è¯„ä»·æ˜¯è¿›ä¸€æ­¥åº”ç”¨äºŽæ—±æƒ ç›‘æµ‹ã€è’¸æ•£å‘ä¼°ç®—ç­‰ç ”ç©¶çš„å‰æã€‚æœ¬ç ”ç©¶åŸºäºŽ2018å¹´9æœˆåœ¨é—ªç”µæ²³æµåŸŸå† è’™å¤å†œç‰§äº¤é”™å¸¦åŒºåŸŸå¼€å±•çš„ç¢³ã€æ°´å¾ªçŽ¯ä¸Žèƒ½é‡å¹³è¡¡é¥æ„Ÿç»¼åˆè¯•éªŒï¼Œé‡‡ç”¨è¿‘ä¼¼åŒæ­¥çš„ä¸¤ç§å°ºåº¦è§‚æµ‹æ•°æ®å³ç‚¹å°ºåº¦åœ°é¢å®žæµ‹åœŸå£¤æ°´åˆ†æ•°æ®ä»¥åŠé¢å°ºåº¦ï¼ˆ1 km×1 km)机载土壤水分数据,利用RMSE(Root Mean Square Error), MAE(Mean Absolute Error),R(Correlation Coefficient),Bias以及ubRMSE(unbiased Root Errorï¼‰ç­‰è¯„ä»·æŒ‡æ ‡åˆ†åˆ«å¯¹SMAP, ASCAT, FY-3B, ESA-CCIåœŸå£¤æ°´åˆ†å«æ˜Ÿé¥æ„Ÿäº§å“è¿›è¡Œäº†è¯„ä»·ã€‚æœ¬ç ”ç©¶åˆ©ç”¨æœºè½½åœŸå£¤æ°´åˆ†æ•°æ®ä½œä¸ºæ¡¥æ¢ï¼Œå®žçŽ°äº†ä»Žç‚¹å°ºåº¦åœ°é¢å®žæµ‹åœŸå£¤æ°´åˆ†æ•°æ®ã€è‡³é¢å°ºåº¦ï¼ˆ1 kmï¼‰æœºè½½åœŸå£¤æ°´åˆ†æ•°æ®ã€å†è‡³ç²—æ ¼ç½‘é¢å°ºåº¦ï¼ˆ9 km×9 km、0.1 D×0.1 D、25 km×25 km)卫星遥感土壤水分产品的对比分析过程。利用地面观测值对机载观测土壤水分开展评价分析,发现在裸土区域,机载土壤水分数据与地面实测数据较为一致,RMSE, MAE, Bias, ubRMSE 以及R值分别为0.033 cm3/cm3, 0.030 -0.004 0.033 0.474。对卫星土壤水分产品的评价结果显示,SMAP的9 kmåœŸå£¤æ°´åˆ†å«æ˜Ÿäº§å“ä¸Žåœ°é¢è§‚æµ‹æ›´ä¸ºä¸€è‡´ï¼Œå ¶RMSE,MAE,Bias,ubRMSE以及R值分别为0.037 cm3/cm3,0.032 cm3/cm3,-0.008 0.036 0.507。SMAP, FY-3B以及ESA-CCIä¸Žæœºè½½åœŸå£¤æ°´åˆ†æ•°æ®æœ‰æ›´é«˜çš„ç›¸å ³æ€§ï¼ŒR值分别为0.735, 0.558, 0.575ã€‚ç»¼ä¸Šï¼Œé—ªç”µæ²³æµåŸŸå®žéªŒåŒºå† çš„4种卫星遥感土壤水分产品中,SMAPäº§å“ä¸Žåœ°é¢åœŸå£¤æ°´åˆ†ã€æœºè½½åœŸå£¤æ°´åˆ†æ•°æ®å‡è¾ƒä¸ºä¸€è‡´ï¼Œå ¶æ¬¡æ˜¯FY-3B与ESA-CCI。

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

Microwave Remote Sensing of Soil Moisture

Because of the large contrast between the dielectric constant of liquid water and that of dry soil at microwave wavelength, there is a strong dependence of the thermal emission and radar backscatter from the soil on its moisture content. This dependence provides a means for the remote sensing of the moisture content in a surface layer approximately 5 cm thick. The feasibility of these technique...

متن کامل

Soil Moisture Estimation in Rangelands Using Remote Sensing (Case Study: Malayer, West of Iran)

Soil moisture is generally regarded as the limiting factors in rangeland production. Although many studies have been conducted to estimate soil moisture in semiarid areas, there is little information on mountainous rangelands in west of Iran. The present study aims to investigate the soil moisture estimation in rangelands as compared to the other land uses over a mountainous area in central Zag...

متن کامل

Active Passive Remote Sensing of Soil Moisture

1.0 INTRODUCTION Numerous studies have shown the influence of soil moisture on the feedbacks between landsurface and climate, which in turn affect the dynamics of the atmosphere boundary layer and have a direct relationship to weather and global climate (Shukla and Mintz, 1982). Chang, et al., 1991 have shown the influence of spatial variations of soil moisture and vegetation on the development...

متن کامل

Active microwave remote sensing for soil moisture measurement: a field evaluation using ERS-2

Active microwave remote sensing observations of backscattering, such as C-band vertically polarized synthetic aperture radar (SAR) observations from the second European remote sensing (ERS-2) satellite, have the potential to measure moisture content in a near-surface layer of soil. However, SAR backscattering observations are highly dependent on topography, soil texture, surface roughness and s...

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.20219491