Spatial characterization of remotely sensed soil moisture data using self organizing feature maps
نویسندگان
چکیده
Compact characterization of soil moisture at a given scale using self-organizing feature maps is presented. We find that as few as 49 neurons capture the spatial structure of remotely sensed soil moisture images from the southern Great Plains. Average latent heat flux computed from the original image of 21 204 pixels and from 49 neurons are comparable.
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ورودعنوان ژورنال:
- IEEE Trans. Geoscience and Remote Sensing
دوره 37 شماره
صفحات -
تاریخ انتشار 1999