Redeveloped ENVIBased Approach for Retrieving Snow Surface Temperature from Remote Sensing Data
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摘要:
針對MODIS數據的分裂窗算法進行了簡要介紹,通過ENVI(ENvironment for Visualizing Images)二次開發,實現了直接利用MODIS lB數據進行雪面溫度反演。在ENVI二次開發環境下,編程實現了該算法,并給出了具體的數據反演處理流程。以我國新疆北部為例,將反演結果與氣象站雪面溫度觀測資料對比。結果表明:系統反演得到的雪面溫度分布規律與觀測資料一致,反演的平均誤差為173 ℃,基本反映了北疆地區的雪面溫度分布情況;利用ENVI二次開發可以實現遙感數據的批量處理,從而快速準
Abstract:
The splits window algorithm is used to retrieve the snow surface temperature from MODIS 1B data through redeveloping the ENVI software. The details of image processing and programming are given. Taking the northern Xinjiang as an example, the approach is used to calculate the snow surface temperature, and the retrieved results are compared with the observed snow temperatures from automatical meteorological stations. The comparison indicates that the retrieved snow surface temperature distribution is consistent with observed one, and the average error is 1.73 ℃, which is acceptable, can basically reflect the distribution of snow surface temperature over the northern Xinjiang. With the method, the batch processing of remote sensing data can be realized, so to build a long time sequence rapidly and accurately.