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Visual interpretation of vegetation classes from airborne videography: An evaluation of observer proficiency with minimal training

机译:航空摄影术对植被类别的视觉解释:最少培训下的观察员熟练程度评估

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摘要

This study evaluated the ability of individual subjects and small groups to correctly identify Arizona plant communities from color airvideo footage, explored the relationship of five background variables to subjects' success, and determined which community types were easiest and most difficult for subjects to identify. Forty-six volunteers from the University of Arizona School of Renewable Natural Resources participated in a multiple-choice pretest-posttest experiment using 30 different plant communities depicted in one-minute segments of videotape. Three hours of training increased mean individual score from 7 correct (pretest) to 21 correct (posttest), and mean group score from 11 to 24. All respondents significantly improved their performance, regardless of background. Posttest results showed no significant difference in ability among individuals or between individuals and groups. The most difficult community to identify was creosote-tarbush desertscrub; the easiest was paloverde-saguaro desertscrub. Findings support the feasibility of video interpretation by minimally-trained personnel.
机译:这项研究评估了个体受试者和小组从彩色航拍录像中正确识别亚利桑那州植物群落的能力,探索了五个背景变量与受试者成功之间的关系,并确定了哪种群落类型最容易被识别。来自亚利桑那大学可再生自然资源学院的46名志愿者参加了多项选择的前测后测实验,该实验使用了30分钟的录像带中描绘的30种不同植物群落。经过三小时的培训,个人平均得分从7正确(测试前)提高到21正确(后测试),团体平均得分从11提高到24。所有受访者无论背景如何,都可以显着提高他们的表现。测试后的结果表明,个人之间或个人与群体之间的能力没有显着差异。最难以确定的社区是杂酚油—塔布什沙漠灌木。最容易的是paloverde-saguaro沙漠灌木。这些发现支持了受过最少培训的人员进行视频解释的可行性。

著录项

  • 作者

    Drake Samuel Edward 1960-;

  • 作者单位
  • 年度 1993
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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