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MID-TERM STATUS OF THE FOREST DRAGON PROJECT

机译:森林龙项目中期状况

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The objective of the Forest DRAGON Project is the development of algorithms for classification of synthetic aperture radar, SAR, data and interferometric SAR (InSAR) data, and the generation of forest maps at regional level for the main forested regions of China. For this purpose ERS-1/2 tandem coherence and ENVISAT ASAR data in Alternating Polarisation (AP) and Wide Swath (WS) mode are considered. ERS-1/2 tandem coherence has been chosen as primary candidate for the estimation of forest stem volume because of its strong sensitivity to forest biophysical parameters. Interferometric processing is carried out by means of a well-established chain at the end of which geocoded coherence, backscatter and local topography products are obtained. Forest base-maps are obtained for the mid-1990s making use of the SIBERIA Project algorithm. First investigations in Northeast China show the need of an improvement of the algorithm to take into account the availability of multi-seasonal data and misclassifications in areas with strong topography. To update the maps multi-temporal ENVISAT ASAR AP images in HH/HV mode are considered. A data processing chain, which includes data import, calibration, geocoding and mosaicing, has been set to process the ASAR data automatically. Preliminary results in Northeast China show that foreston-forest types can be discriminated well using one date ASAR AP HH/HV images. ScanSAR or Wide Swath mode represent an important source of data for updating global and continental maps, yet to be explored. In this study, ENVISAT ASAR WS data over Northeast China are analysed for foreston-forest mapping at regional scale. The results are compared with existing land cover maps, in particular the Vegetation Continuous Field (VCF) from MODIS.
机译:Forest DRAGON项目的目的是开发用于合成孔径雷达,SAR,数据和干涉SAR(InSAR)数据分类的算法,以及为中国主要林区在区域级别生成森林图。为此,考虑了交替极化(AP)和宽幅(WS)模式下的ERS-1 / 2串联相干性和ENVISAT ASAR数据。 ERS-1 / 2串联相干性因其对森林生物物理参数的高度敏感性而被选为估算森林茎体积的主要候选对象。干涉测量处理是通过一条完善的链进行的,在该链的末端获得了地理编码的相干性,反向散射和局部地形积。利用SIBERIA Project算法获得了1990年代中期的森林底图。中国东北地区的首次调查表明,需要对算法进行改进,以考虑到地形特征强的地区的多季节数据的可用性和分类错误。为了更新地图,考虑了在HH / HV模式下的多时间ENVISAT ASAR AP图像。已设置一个数据处理链,其中包括数据导入,校准,地理编码和镶嵌,以自动处理ASAR数据。中国东北地区的初步结果表明,使用一幅ASAR AP HH / HV图像可以很好地区分森林/非森林类型。 ScanSAR或Wide Swath模式代表了更新全球和大陆地图的重要数据来源,尚待探索。在这项研究中,分析了中国东北地区的ENVISAT ASAR WS数据,以进行区域规模的森林/非森林制图。将结果与现有的土地覆盖图进行了比较,特别是来自MODIS的植被连续场(VCF)。

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