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首页> 外文期刊>土壤圈（英文版） >Utilizing Landsat TM Imagery to Map Greenhouses in Qingzhou, Shandong Province, China
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Utilizing Landsat TM Imagery to Map Greenhouses in Qingzhou, Shandong Province, China

机译：利用Landsat TM影像对中国山东省青州市的温室进行制图

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摘要

To build a rapid and accurate method for greenhouse vegetable land information extraction using an index model derived from TM digital data of Qingzhou City, Shandong Province, based on a systematic analysis of the spectral characteristics of different land use types in the study area, a subset of the image was first made to eliminate the mountainous region not associated with vegetable distribution, and then water body pixels were masked. With this the V1 index model for greenhouse vegetable land extraction was developed. The index model indicated greenhouse vegetable land for Qingzhou in April 2002 was concentrated in the southeast and around rural residential areas. Field data used for an accuracy evaluation showed that greenhouse hectares determined with remote sensing were 95.9% accurate, and accuracy for the spatial distribution of greenhouse vegetable land cross checked with a random sample was 96.3%. Therefore, this approach provided an effective method for greenhouse vegetable land information extraction and has potential significance for management of greenhouse vegetable production in the study area, as well as North China.
机译：在对研究区域不同土地利用类型的光谱特征进行系统分析的基础上，使用从山东省青州市TM数字数据得出的指标模型建立一种快速准确的温室蔬菜地信息提取方法。首先对图像进行拍摄以消除与蔬菜分布无关的山区，然后遮盖水体像素。以此为基础，开发了温室蔬菜地提取的V1指数模型。该指数模型表明，2002年4月青州的温室蔬菜地集中在东南部和农村居民区附近。用于准确性评估的现场数据显示，通过遥感确定的温室公顷的准确度为95.9％，而通过随机样本交叉检查的温室蔬菜地的空间分布准确性为96.3％。因此，该方法为温室蔬菜地信息的提取提供了一种有效的方法，对于研究区及华北地区的温室蔬菜生产管理具有潜在的意义。

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  • 来源
    《土壤圈（英文版）》 |2004年第3期|363-369|共7页
  • 作者

    ZHAO Geng-Xing; LI Jing; LI Tao; YUE Yu-De; T. WARNER;

  • 作者单位

    College of Resources and Environment, Shandong Agricultural University, Tai'an 271018 (China);

    College of Resources and Environment, Shandong Agricultural University, Tai'an 271018 (China);

    Soil and Fertilizer Working Station of Shandong, Jinan 250100 (China);

    Agriculture Bureau of Qingzhou City, Qingzhou 262500 (China);

    Department of Geology and Geography, West Virginia University, Morgantown, WV 26505-6300 (USA);

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 农业基础科学;
  • 关键词

    greenhouse vegetable land; information extraction; Qingzhou City; TM image;

    机译：温室蔬菜地;信息提取;青州市;TM图像;
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