Research on Matching Degree of Agricultural Landscape Based on UAV Space Ranging

Agricultural landscape is a form of expression of the earth's landscape achieved through agricultural planting, usually presenting a design image of the earth with different types of plants working together. In the specific implementation process, due to spatial errors in plant planting, there are often some errors in the presentation of the final effect compared to the initial design image, which becomes an important factor affecting the appearance of the final effect. This article aims to use unmanned aerial vehicle (UAV) spatial ranging technology to calculate the error values between agricultural landscape products and design patterns based on several feature points, comprehensively measure their presentation effects, and provide evaluation criteria for the planting quality of agricultural landscapes.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icarce63054.2024.00105
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Research on Matching Degree of Agricultural Landscape Based on UAV Space Ranging

Min Zong, Wenbo Zhang, He Zhang, Xiaofei Ma et al.
Remote Sensing and Land Use
article

Research on Matching Degree of Agricultural Landscape Based on UAV Space Ranging

Min Zong, Wenbo Zhang, He Zhang, Xiaofei Ma, Yixin Cai, Da Cong
article en

Abstract

Agricultural landscape is a form of expression of the earth's landscape achieved through agricultural planting, usually presenting a design image of the earth with different types of plants working together. In the specific implementation process, due to spatial errors in plant planting, there are often some errors in the presentation of the final effect compared to the initial design image, which becomes an important factor affecting the appearance of the final effect. This article aims to use unmanned aerial vehicle (UAV) spatial ranging technology to calculate the error values between agricultural landscape products and design patterns based on several feature points, comprehensively measure their presentation effects, and provide evaluation criteria for the planting quality of agricultural landscapes.

Changchun University (CN)
Zero hunger
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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