Land cover mapping method

A cover and land technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor consistency, low accuracy of land cover data, and insufficient large-scale data fusion algorithms.

Active Publication Date: 2021-07-23
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Abstract
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Problems solved by technology

[0005] The present invention provides a land cover mapping method to solve one or more of the current technical problems o...

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  • Land cover mapping method

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Embodiment

[0048] Please refer to figure 1 , a flow chart of the steps of a land cover mapping method provided in an embodiment of the present invention, including steps 101 to 107, each step is specifically as follows:

[0049] Step 101, obtain multi-source land cover products in the target area, reclassify the multi-source land cover products to obtain multiple types of land cover products, and perform preprocessing on each type of land cover products respectively to obtain Consistently formatted land cover products.

[0050] In this embodiment, before the reclassification of the multi-source land cover products, it includes: performing framing combined mosaic and mask extraction on each multi-source land cover product.

[0051] In this embodiment, the step of preprocessing each type of land cover product includes: performing unified processing on the spatial range and reference coordinate system of the land cover product; The format of the product is unified into a raster format; th...

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Abstract

The invention discloses a land cover mapping method, which comprises the following steps of: extracting effective information of an existing land cover product by establishing a multi-source data space consistency recognition and sample statistical screening method, and establishing a multi-source data space consistency recognition and sample statistical screening method on the basis of a remote sensing cloud calculation platform and mass remote sensing images; a machine learning algorithm is applied to correct inconsistent information among various land cover products, so that the problems of poor consistency degree and low precision of current multi-source land cover data are solved; by establishing a method for quickly extracting a large-range reliable training sample, the difficulty of insufficient training samples of cloud calculation platforms such as a Google Earth engine and the like can be effectively solved; according to the technical scheme, on-site land cover interpretation reference sample points and prior knowledge are not needed, a land cover data fusion product with high spatial resolution in a large-range region can be quickly and accurately generated, high-precision and high-efficiency land cover mapping can be effectively realized, and the method has portability.

Description

technical field [0001] The invention relates to the field of land cover information, in particular to a method for mapping land cover. Background technique [0002] Land use and land cover are the link between human socioeconomic activities and natural ecological processes, and directly represent the impact of human activities on the surface ecosystem. Accurate land cover data are important basic data for research on global change, land surface process simulation, ecological civilization construction, and regional sustainable development, and play an important role in the sustainable use of land resources and government decision-making. Remote sensing data has become the main means of drawing land cover data on a large scale. Since the accuracy of existing products is not high and there are obvious differences when applied to regional or global scales, the use of data fusion methods can effectively overcome the incompatibility of current land cover data sets. , comparabilit...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/187G06T5/00G06T5/40
CPCG06T5/002G06T5/40G06T2207/10032G06T2207/20081G06T2207/30184G06T7/11G06T7/187
Inventor 许尔琪李科为
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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