• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>African Journal of Biotechnology >The importance of spatial accuracy in characterizing stand types using remotely sensed data
【24h】

The importance of spatial accuracy in characterizing stand types using remotely sensed data

机译：使用远程感测数据表征待机类型的空间精度的重要性

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This?study?assessed the potential use of Landsat 7 ETM+ (15 and 30 m spatial resolutions) images to estimate forest stand attributes such as development stages, crown closure and stand types. The study evaluates the performance of spatial and image classification accuracies between Landsat images (15 and 30 m spatial resolutions) and the forest cover type map (FCTM) with the spatial analysis functions of Geographical Information System (GIS). As a base study, the stand parameters were determined by forest cover type generated with high spatial accuracy of infrared color aerial photography interpretation. The study compared the performance of classification accuracies of satellite images into the forest cover type map (FCTM). The result shows?that crown closure was the most successfully classified stand parameters with a 0.92 kappa statistic value and 94.2% overall accuracy assessments in 30 m resolution Landsat 7 image and 0.94 and 95.8% in 15 m resolution Landsat image, respectively. The results indicate that 15 m resolution Landsat 7 image can lead to more accurate mapping of stand type with development stages and crown closures, than 30 m resolution Landsat image according to classification accuracy. However, spatial accuracy was lower than classification accuracy in both images. Spatial analysis clearly showed that the spatial accuracy might be more important than the image accuracy in classification of satellite images to determine forest cover types. This study reveals?the differences between image accuracy and spatial accuracy of stand parameters in both Landsat images. The differences were quite significant and should be taken into consideration in forest inventory and land use planning.
机译：研究？研究？评估Landsat 7 ETM +（15和30米空间分辨率）图像的潜在使用，以估计森林支架属性，如开发阶段，皇冠封闭和支架类型。该研究评估了与地理信息系统（GIS）的空间分析功能与地图图像（15和30米空间分辨率）和森林覆盖类型地图（FCTM）之间的空间和图像分类精度的性能。作为基础研究，支架参数由具有高空间彩色摄影解释的高空间精度产生的森林覆盖型确定。该研究将卫星图像分类精度的性能与森林覆盖型映射（FCTM）进行了比较。结果表明？该皇冠关闭是最成功的分类参数，分别为0.92 kappa统计价值和94.2％的总精度评估，分辨率7图像，0.94和95.8％，在15米分辨率的山顶图像中。结果表明，根据分类精度，15米分辨率7图像可以导致台型和冠闭的架式和冠闭件更准确地映射。然而，空间精度低于两个图像中的分类精度。空间分析清楚地表明，空间精度可能比卫星图像分类中的图像精度更重要，以确定森林覆盖类型。本研究揭示了覆盖层中的架子参数的图像精度和空间精度的差异。差异非常重要，应在森林库存和土地利用规划中考虑。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号