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Regional rubber forest remote sensing identification method

A remote sensing recognition and rubber technology, which is applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of insufficient consideration of regional differences in the physiological and phenological characteristics of rubber forests, heavy workload, large errors, mixed pixels, etc.

Active Publication Date: 2021-03-26
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0012] The defects of the above-mentioned prior art rubber forest traditional remote sensing monitoring method are 1, not fully considering the rubber forest physiological and phenological characteristics and regional differences, the workload is large, 2, Big error, mixed pixels

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  • Regional rubber forest remote sensing identification method

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0025] like figure 1 As shown, a remote sensing identification method for regional rubber forests, including:

[0026] 1. Based on the field landscape positioning photos and GE high-definition images, roughly determine the densely planted rubber forest areas, and then screen the points of interest / sample points (POIs) and interest areas / Sample areas (ROIs), using MODIS-NDVI vegetation index product data, reveal the inter-annual / intra-annual dynamic changes of rubber forests and other land types (natural forests), and thus determine the differences between rubber forests and other land types.

[0027] 2. According to the NDVI time-series dynamic curve of the rubber forest, use wavelet analysis and other methods to automatically detect the mutation thre...

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Abstract

The invention discloses a regional rubber forest remote sensing identification method, which comprises the following steps: screening interest points and interest regions of a rubber forest and otherland types, and generating a rubber forest sample point graph library; constructing a change curve of the rubber forest and other land types, judging the difference between the rubber forest and otherland types according to the NDVI dynamic curve, and determining the phenological period of the rubber forest; introducing Landsat corresponding wave bands and vegetation-moisture index products in combination with the acquired day-by-day rainfall and air temperature data of the meteorological stations and based on occurrence time window information of leaf falling and new leaf germination phenomena of the rubber forest, and comparing phenological differences of the rubber forest; and according to pairwise combination of a plurality of vegetation-moisture indexes such as Landsat-NBR and Landsat-NDMI, performing normalization processing on the vegetation-moisture indexes combined in the defoliation stage and the foliation stage of the rubber forest, and extracting the rubber forest in combination with a normalization result and a vegetation layer mask. The invention has the advantages that the regional phenological difference is fully considered, the texture features are considered, therubber forest distribution information can be comprehensively extracted, and powerful support is provided for regional rubber forest monitoring.

Description

technical field [0001] The invention relates to the technical field of remote sensing identification of rubber forests, in particular to a remote sensing identification method for regional rubber forests based on MODIS / Landsat vegetation index and phenological characteristics. Background technique [0002] As an indispensable strategic material for national defense and economic construction, natural rubber is also an important pillar industry in tropical areas and the main way to get rid of poverty and become rich. The expansion of rubber forests has become the main manifestation and important driver of land use / cover change (LUCC) in important natural rubber producing areas around the world. However, there is a lack of systematic and in-depth research on scientific issues such as the regional characteristics, dynamic changes and expansion laws of rubber forests at the regional level. [0003] The remote sensing survey of rubber forests was first seen in the aircraft survey...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06F16/535G06F16/583G06F16/587
CPCG06F16/535G06F16/583G06F16/587G06V20/188G06V10/44Y02A90/10
Inventor 肖池伟封志明李鹏
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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