首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >Retrieval forest stock volume of large plantation in South China using RADARSAT-SAR
【24h】

Retrieval forest stock volume of large plantation in South China using RADARSAT-SAR

机译:检索森林库存量大种植园的南中国使用radarsat-sar

获取原文

摘要

Estimation of forest stem volume in large area using remotely sensed data has remains difficult due to poor understanding relationships of forest stand parameters and remote-sensing spectral response. Recent studies have show that SAR can be used to investigate forest attribute, especially in tropic forest where there is so much cloud that good quality optic remote sensing is not easily available. The goal of this research was to assess the efficiency of SAR data for forest plantation management and the sensitivity of stem volume to RADARSAT-SAR data. Based on field survey data of the large managed plantation and GIS, the ability of RADARSAT-SAR data in extracting forest stock volume was analyzed in this paper. Results show that RADARSAT-SAR Backscatter coefficient has a relatively good logarithmic correlation with forest stock volume, tree height and diameter at breast height for the six species. The investigation of response of tree height and diameter at breast height to backscatter also shows that backscatter coefficient is affected by tree height much more than by diameter at breast height for Eucalypt, but for pine trees, backscatter coefficient is affected by diameter at breast height much more than by tree height. Inversion results of stem volume show that stem volume can be estimated for such plantation but had limitations. The estimation results obtained are not accurate enough for forest management purposes at the forest stand level. However, the approximate volume estimates derived by the method can be useful in areas where no other forest information is available.
机译:由于森林站点参数和遥感光谱响应的理解关系差,使用远程感测数据估计使用远程感测数据的大面积中的森林茎体积仍然困难。最近的研究表明,SAR可用于调查森林属性,尤其是在热带森林中,在那里有很多云的云,优质的光学遥感不易使用。本研究的目标是评估森林种植园管理的SAR数据的效率以及茎体积对雷达拉斯数据的敏感性。基于大型管理人工林和GIS的现场调查数据,本文分析了雷达拉特 - SAR数据在提取森林股票中的能力。结果表明,Radarsat-SAR反向散射系数与六种物种的胸部高度,树高和直径具有相对较好的对数相关性。对乳房高度的响应和反向散射的响应的调查还表明,后散射系数受树高的影响远远超过乳房高度的直径,但对于杉木树,反向散射系数受到乳房高度的直径的影响不仅仅是树高度。茎体积的反演结果表明,茎体积可以估计这种种植种植,但有局限性。在森林管理水平的森林管理目的中,所获得的估计结果不够准确。然而,该方法导出的近似体积估计在没有其他森林信息可用的区域中可以是有用的。

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