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园地植被覆盖度的无人机遥感监测研究

刘峰 刘素红 向阳

农业机械学报2014,Vol.45Issue(11):250-257,8.
农业机械学报2014,Vol.45Issue(11):250-257,8.DOI:10.6041/j.issn.1000-1298.2014.11.039

园地植被覆盖度的无人机遥感监测研究

Study on Monitoring Fractional Vegetation Cover of Garden Plots by Unmanned Aerial Vehicles

刘峰 1刘素红 2向阳2

作者信息

  • 1. 西安科技大学测绘科学与技术学院,西安710054
  • 2. 北京师范大学地理学与遥感科学学院,北京100875
  • 折叠

摘要

Abstract

A remote sensing system based on the unmanned aerial vehicles (UAV) was designed and established.The garden plot in Beijing was selected as a research object and the major growing period of Chinese chestnut was monitored.Based on this system,the experiment monitoring for the major growing period of Chinese chestnut was achieved and a large number of high resolution images was obtained.The preprocessing including selecting,band separation and calibration and so on was made and finally three main band (red,green,near infrared) reflectance data of Chinese chestnut in the major growing period was generated.According to the analysis of difference for spectral signature between vegetation and soil in the band range of 400 ~ 1 200 nm,the ratio of total number of vegetation pixels was counted for the imaging range,that was fractional vegetation cover (FVC).The fractional vegetation cover of unmanned aerial vehicles images could be computed rapidly.The annual variation of fractional vegetation coverfor Chinese chestnut was monitored using multi-temporal unmanned aerial vehicles remote sensing images.The simulation scenes were formed by computer simulation method and the characteristic of statisticsscalefor Chinese chestnut fraction vegetation cover was analysed.The availability and effectiveness of the fractional vegetation cover computed from remote sensing images of unmanned aerial vehicles were validated.

关键词

园地/植被覆盖度/无人直升机/遥感监测/板栗

Key words

Garden plots / Fractional vegetation cover / Unmanned aerial vehicles/ Monitoring /Chinese chestnut

分类

农业科技

引用本文复制引用

刘峰,刘素红,向阳..园地植被覆盖度的无人机遥感监测研究[J].农业机械学报,2014,45(11):250-257,8.

基金项目

国家自然科学基金资助项目(41171262) (41171262)

农业机械学报

OA北大核心CSCDCSTPCD

1000-1298

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