Chinese Academy of Sciences

Nanjing University

Fenzhen Su

Tingting Pan

Dongjie Fu

Fengqin Yan

Xuege Wang

This application relates to the technical field of data processing and provides a method for constructing spatial scenarios based on a blue-green-grey ratio. The method first constructs a spatial scenario classification system, dividing spatial scenarios into primary and secondary spatial scenarios. Attributes corresponding to vector patches of the secondary spatial scenarios are set as follows: type name, perimeter, area, and blue-green-grey ratio. Spatial data is then preprocessed, followed by the identification of urban functional scenarios and non-urban spatial scenarios. A perimeter and an area of each spatial scenario patch are calculated and attributes of type name, perimeter, area, and blue-green-grey ratio are assigned to each spatial scenario patch. The blue-green-grey ratio attribute is used to represent the internal heterogeneity within homogeneous functional zones or the same spatial scenario. This attribute better explains the differences in land use due to varying locations, addressing the challenge in traditional land use/cover methods.

Method for constructing spatial scenarios based on blue-green-grey ratio

The present invention provides a device for collecting photos of a field surface feature and an information measurement and calculation method. The photo collection device includes a motion camera, a pan-tilt, and a movable carrier. The motion camera is fixed to the movable carrier by using the pan-tilt, and when the movable carrier is in a driving process, the motion camera regularly takes a clear and measurable surface feature photo, to obtain a set of continuous surface feature photos with geographical coordinates. The device for collecting photos in the present invention is portable, is easily assembled, and can stably and continuously take clear and measurable photos, to resolve a problem that a photo taken in a high-speed motion state is fuzzy. The device can be applied to remote sensing of large-scale field research.

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Beijing, China

Fenzhen Su