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基于多源遥感数据的茶叶种植面积时空变化研究

张彦 王来刚 贺佳 郭燕 杨秀忠 张红利 刘婷

中国农业科技导报2024,Vol.26Issue(12):107-114,8.
中国农业科技导报2024,Vol.26Issue(12):107-114,8.DOI:10.13304/j.nykjdb.2023.0243

基于多源遥感数据的茶叶种植面积时空变化研究

Study on the Spatio-Temporal Changes of Tea Planting Area Based on Multi-Source Remote Sensing

张彦 1王来刚 1贺佳 1郭燕 1杨秀忠 1张红利 1刘婷1

作者信息

  • 1. 河南省农业科学院农业信息技术研究所,农业农村部黄淮海智慧农业技术重点实验室,河南省农作物种植监测与预警工程研究中心,郑州 450002
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摘要

Abstract

Tea is one of the important economic tree species.Studying the spatial and temporal changes of tea production is of great significance for optimizing the tea layout in Henan Province.Based on Landsat and Sentinel-2 satellite data from 2000 to 2020,combining with field survey data,the random forest classification method was used to obtain the spatial distribution information of tea area in Shihe District,Xinyang city of Henan province.Trend analysis,center of gravity migration and other methods were used to analyze the spatial distribution and temporal and spatial trends of tea production in Shihe District.The results showed that the combination of spectrum,vegetation index and texture feature had the highest classification accuracy of tea,with the overall accuracy of 89.02%and Kappa coefficient of 0.90.In terms of temporal changes,tea production in Shihe District from 2000 to 2020 generally showed a trend of rapid growth to steady rise.In terms of spatial change,the distribution of tea in Shihe District was relatively concentrated,mainly distributed in hilly areas and shallow mountainous areas in northern towns.From 2000 to 2020,the gravity center migration direction of tea area in Shihe District showed a trend from east to west.The total distance of gravity center migration was 5.47 km,and the migration speed was 0.273 5 km·a-1.This study provides scientific data support and theoretical basis for the scientific planting of tea in Shihe District.

关键词

茶叶/面积/多源/遥感/时空变化

Key words

tea/area/multi-source/remote sensing/temporal and spatial changes

分类

农业科技

引用本文复制引用

张彦,王来刚,贺佳,郭燕,杨秀忠,张红利,刘婷..基于多源遥感数据的茶叶种植面积时空变化研究[J].中国农业科技导报,2024,26(12):107-114,8.

基金项目

河南省农科院四优四化科技支撑行动计划项目(20210402004) (20210402004)

国家重点研发计划项目(2022YFD2001105-06). (2022YFD2001105-06)

中国农业科技导报

OA北大核心CSTPCD

1008-0864

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