首页> 外文OA文献 >Forest Dragon 2: Final results of the European partners
【2h】

Forest Dragon 2: Final results of the European partners

机译:森林龙2:欧洲伙伴的最终结果

摘要

The European contribution to the Forest DRAGON 2 focused on the evaluation of multi-temporal, multi-sensor and multi-scale Earth Observation images and data products within the vegetation ecosystem of Northeast China. The forest growing stock volume (GSV) map produced with ERS-1/2 coherence images for 1995-1998 and two GSV maps produced from Envisat ASAR ScanSAR data for 2005 and 2010 were inter-compared with respect to several datasets (in situ, EO images and EO data products) to assess the plausibility of the GSV estimates, the contribution to land cover mapping and the dynamics over time. For this purpose, a multi-source database was set up including in situ data and EO data products. Land use / land cover (LULC) datasets identified mis-classification of GSV in the ERS dataset primarily for cropland. An a posteriori correction of the GSV resulted in an increase of overall accuracy up to 7%. LULC products can also support the fine tuning of the algorithm to estimate GSV from ASAR data particularly in transition regions between forest and shrubland. The ASAR-based GSV estimates were consistent and highlighted areas of change. From the two ASAR maps, slight loss of volume from 2005 to 2010 was estimated.
机译:欧洲对Forest DRAGON 2的贡献集中在评估中国东北植被生态系统内的多时间,多传感器和多尺度地球观测图像和数据产品。关于1995-1998年用ERS-1 / 2相干图像生成的森林生长蓄积量(GSV)图和从Envisat ASAR ScanSAR数据生成的2005年和2010年的两个GSV图,针对多个数据集(原位,EO图片和EO数据产品)来评估GSV估算的合理性,对土地覆盖图的贡献以及随着时间推移的动态变化。为此,建立了一个多源数据库,包括原位数据和EO数据产品。土地利用/土地覆盖(LULC)数据集确定了主要针对农田的ERS数据集中GSV的错误分类。对GSV的后验校正使整体精度提高了7%。 LULC产品还可以支持算法的微调,以根据ASAR数据估算GSV,尤其是在森林和灌木丛之间的过渡地区。基于ASAR的GSV估算是一致的,并突出了变化领域。根据这两个ASAR地图,估计2005年至2010年间体积略有损失。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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