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جست‌و‌جوی دقیق برای معنی فناوری سنجش از د در واژه‌نامه ترجمیک

زمان جستجو: ۰.۰۰۲ هزارم ثانیه

درباره واژه‌نامه ترجمیک
لایک۰ نپسندیدن۰
[توسط کاربر]
[... عمومی ...]
The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island e ects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. TheMWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these t
لایک۰ نپسندیدن۰
[توسط مترجم]
[مهندسی کامپیوتر]
remote sensing technology
لایک۰ نپسندیدن۰
[توسط کاربر]
[زمین شناسی]
The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island e ects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. TheMWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these t



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