کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6347175 | 1621262 | 2013 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia](/preview/png/6347175.png)
چکیده انگلیسی
Soil moisture plays an essential role in the terrestrial water cycle. It is very important to obtain soil moisture for many applications. Soil moisture acquired by remote sensing, land surface modeling, and data assimilation must be evaluated against in-situ measurements before being used, but a procedure should be performed to upscale the point-scale measurements to the grid-scale or footprint-scale. In this study, a new upscaling algorithm is developed by introducing MODIS-derived apparent thermal inertia (ATI). First, a functional relationship between the station-averaged soil moisture and the pixel-averaged ATI is constructed. Second, this relationship is used to calculate the representative soil moisture time series at a certain spatial scale. Last, the Bayesian linear regression is applied to obtain the upscaled area-averaged soil moisture by using in-situ measurements as independent variables. The algorithm is evaluated using a network of in-situ moisture sensors in the central Tibetan Plateau. The results indicate that it can effectively obtain the area-averaged soil moisture, reducing the root mean square error (RMSE) from 0.023 m3/m3 before upscaling to 0.013 m3/m3 after upscaling. Finally, the algorithm is implemented to the 100 km Ã 100 km grid box where the network is installed, and the temporal pattern of the upscaled soil moisture agrees with the hydro-meteorological knowledge of this region.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 138, November 2013, Pages 1-9
Journal: Remote Sensing of Environment - Volume 138, November 2013, Pages 1-9
نویسندگان
Jun Qin, Kun Yang, Ning Lu, Yingying Chen, Long Zhao, Menglei Han,