排序方式： 共有47条查询结果，搜索用时 15 毫秒
21.
??????ICESAT????????????????????GLAS????????λ?????????????GLAS???λ??????????????????????????????????????????GLAS????????????????????????????? 相似文献
22.
Spaceborne light detection and ranging (LiDAR) enables us to obtain information about vertical forest structure directly, and it has often been used to measure forest canopy height or above-ground biomass. However, little attention has been given to comparisons of the accuracy of the different estimation methods of canopy height or to the evaluation of the error factors in canopy height estimation. In this study, we tested three methods of estimating canopy height using the Geoscience Laser Altimeter System (GLAS) onboard NASA’s Ice, Cloud, and land Elevation Satellite (ICESat), and evaluated several factors that affected accuracy. Our study areas were Tomakomai and Kushiro, two forested areas on Hokkaido in Japan. The accuracy of the canopy height estimates was verified by ground-based measurements. We also conducted a multivariate analysis using quantification theory type I (multiple-regression analysis of qualitative data) and identified the observation conditions that had a large influence on estimation accuracy. The method using the digital elevation model was the most accurate, with a root-mean-square error (RMSE) of 3.2 m. However, GLAS data with a low signal-to-noise ratio (⩽10.0) and that taken from September to October 2009 had to be excluded from the analysis because the estimation accuracy of canopy height was remarkably low. After these data were excluded, the multivariate analysis showed that surface slope had the greatest effect on estimation accuracy, and the accuracy dropped the most in steeply sloped areas. We developed a second model with two equations to estimate canopy height depending on the surface slope, which improved estimation accuracy (RMSE = 2.8 m). These results should prove useful and provide practical suggestions for estimating forest canopy height using spaceborne LiDAR. 相似文献
23.
LIU Yan CHENG Xiao HUI FengMing WANG XianWei WANG Fang CHENG Cheng 《中国科学:地球科学(英文版)》2014,57(6):1267-1277
Ice shelf breakups account for most mass loss from the Antarctic Ice Sheet as the consequence of the propagation of crevasses(or rift)in response to stress.Thus there is a pressing need for detecting crevasses’location and depth,to understand the mechanism of calving processes.This paper presents a method of crevasse detection using the ICESat-1/GLAS data.A case study was taken at the Amery Ice Shelf of Antarctica to verify the accuracy of geo-location and depth of crevasses detected.Moreover,based on the limited crevasse points,we developed a method to detect the peak stress points which can be used to track the location of the crack tips and to identify the possible high-risk area where an ice shelf begins to break up.The spatial and temporal distribution of crevasse depth and the spatial distribution of peak stress points of the Amery Ice Shelf were analyzed through 132 tracks in 16 campaign periods of ICESat-1/GLAS between 2003 and 2008.The results showed that the depth of the detected crevasse points ranged from 2 to 31.7 m,which were above the sea level;the crevasse that advected downstream to the front edge of an ice shelf has little possibility to directly result in breakups because the crevasse depth did not show any increasing trend over time;the local stress concentration is distributed mainly in the suture zones on the ice shelves. 相似文献
24.
针对青藏高原山地冰川区早期DEM数据缺乏、精度低、覆盖范围小等问题,以普若岗日冰川和雅弄冰川为例,利用解密的早期高分辨率间谍卫星KH-9立体像对,建立了基于KH-9数据的山地冰川DEM提取技术流程,并以ICESat GLAS高程数据为基准对提取的DEM进行了精度评价和精度影响分析。结果表明：无论是在普若岗日冰川区还是雅弄冰川区,所获取的DEM精度均完全满足估算山地冰川长时间尺度物质平衡的精度要求。KH-9数据具有空间分辨率高,地面覆盖范围广,成像时间较早（1971-1980年）等特点,可为山地冰川物质平衡研究提供很好的基础数据源。 相似文献
25.
Detailed forest height data are an indispensable prerequisite for many forestry and earth science applications. Existing research of using Geoscience Laser Altimeter System (GLAS) data mainly focuses on deriving average or maximum tree heights within a GLAS footprint, i.e. an ellipse with a diameter of 65 m. However, in most forests, it is likely that the tree heights within such ellipse are heterogeneous. Therefore, it is desired to uncover detailed tree height variation within a GLAS footprint. To the best of our knowledge, no such methods have been reported as of now. In this study, we aim to characterize tree heights’ variation within a GLAS footprint as different layers, each of which corresponds to trees with similar heights. As such, we developed a new method that embraces two steps: first, a refined Levenberg–Marquardt (LM) algorithm is proposed to decompose raw GLAS waveform into multiple Gaussian signals, within which it is hypothesized that each vegetation signal corresponds to a particular tree height layer. Second, for each layer, three parameters were first defined: Canopy Top Height (CTH), Crown Length (CL), and Cover Proportion (CP). Then we extracted the three parameters from each Gaussian signal through a defined model. In order to test our developed method, we set up a study site in Ejina, China where the dominant specie is Populus euphratica. Both simulated and field tree height data were adopted. With regard to the simulation data, results presented a very high agreement for the three predefined parameters between our results and simulation data. When our methods were applied to the field data, the respective R2 become 0.78 (CTH), CL (R2 = 0.76), CP (R2 = 0.74). Overall, our studies revealed that large footprint GLAS waveform data have the potentials for obtaining detailed forest height variation. 相似文献
26.
High-accuracy topographical information extraction based on fusion of ASTER stereo-data and ICESat/GLAS data in Antarctica 总被引：1，自引：0，他引：1
In order to better support Antarctic inland ice sheet expedition from Zhongshan Station to Dome A, the topographic data are
necessary. At present, although the entire Antarctic DEM provided by RAMP (Radarsat Antarctic Mapping Project) was estimated
at the highest horizontal (spatial) resolution of about 200 m, the real horizontal resolution of the DEM varies from place
to place depending on the density and scale of the original source data. For ice shelves and the inland ice sheet, the horizontal
resolution is about 5 km; the vertical accuracy is estimated to be ±50 m in interior East Antarctic ice sheet and away from
the mountain ranges. Therefore, more accurate topographic data are unavailable in Antarctica. In order to meet the requirements
of high-accuracy topographic information for further researches, this paper mainly addresses a fusion study of ASTER stereo
pairs and ICESat/GLAS altimetry data for extraction of high-accuracy DEM in East Antarctica, based on the high horizontal
resolution (15 m) of ASTER and vertical accuracy (13.8 cm) of ICESat/GLAS. First, some altimetry data were selected as vertical
control points to reduce errors of image correlation matching during the extraction of ASTER-based DEM. Second, ice sheet
altimetry data derived from ICESat were used to generate DEM ranging from 75° to 81°S because existing ASTER data do not cover
this area and high density of the coverage of ICESat altimetry data. Finally, the DEM in coverage of the expedition route
was produced. The analysis of result reveals that the DEM accuracy is improved significantly. The absolute vertical accuracy
of DEM is higher than 15 m in some cases and higher than 30 m for all the areas along the expedition route except from the
009-001 scene; the interior accuracy is higher than 15 m and higher than 7 m in some cases. It can meet the requirements of
topographic map at 1:50000 scale, which is an economic and advantageous method to produce the topographic products.
Supported by National Natural Science Foundation (Grant No. 40606002), Surveying and Mapping in Chinese Antarctic Expedition
Area (Grant No. 1469990711109-1), National Key Technology R & D Program (Grant No. 2006BAD18B01), and GLA12 dataset of ICESat/GLAS
in National Snow and Ice Data Center (NSIDC) 相似文献
27.
Arcsecond-level accuracy of NASA's ICESat (Ice, Cloud, and land Elevation Satellite) satellite laser altimeter beam pointing
angle is required to satisfy the scientific goal of detecting centimeter-level elevation changes, over time, in the Greenland
and Antarctic ice sheets. Two different approaches, termed “topographic inferred” and “direct detection”, were examined for
calibrating the laser pointing angle (that is, detecting and removing pointing determination bias) at the 1.5-arcsec level,
using information independent of the onboard pointing instrumentation. Both approaches entail estimating the beam pointing
by differencing the three-dimensional position of the altimeter instrument and the laser-beam spot (or “footprint”) location
on the ground. Analytical assessments of the two approaches are discussed, along with recommendations for the ICESat pointing
determination calibration strategy.
Received: 28 April 2000 / Accepted: 6 November 2000 相似文献
28.
目前,ICESat/GLAS是大尺度SRTM DEM精度评价的主要数据源.然而,现有的精度评价方法均忽略了2组数据的有效配准.为此,本文分析了数据配准前、后SRTM DEM整体精度差异,以及不同地形因子和土地利用类型对SRTM DEM影响程度.在此基础上,充分考虑SRTM DEM精度影响因素,分别借助多元线性回归(ML... 相似文献
29.
结合机载、星载激光雷达对GLAS(地球科学激光测高系统)光斑范围内的森林地上生物量进行估测,并利用MODIS植被产品以及MERIS土地覆盖产品进行了云南省森林地上生物量的连续制图。机载LiDAR扫描的260个训练样本用于构建星载GLAS的森林地上生物量估测模型,模型的决定系数(R2)为0.52,均方根误差(RMSE)为31Mg/ha。研究结果显示,云南省总森林地上生物量为12.72亿t,平均森林地上生物量为94Mg/ha。估测的森林地上生物量空间分布情况与实际情况相符,森林地上生物量总量与基于森林资源清查数据的估测结果相符,表明了利用机载LiDAR与星载ICESatGLAS结合进行大区域森林地上生物量估测的可靠性。 相似文献
30.
详细阐述了利用GLAS数据和GPS数据生成Dome-A地区DEM的方法。首先进行GLAS数据转化, 便于与GPS数据结合, 提出一种快速搜索GLAS和其光斑(Footprint)覆盖GPS点的算法, 比较GLAS数据和GPS数据发现, 均值差异最大为1.118 m, 最小为0.997 m, 而标准差稳定为5-6 cm, 在进行椭球变换修正之后, 差值最大为0.405 m, 最小为0.284 m;之后利用改进的角度限差法沿测线对GPS数据进行特征点提取, 得到抽稀之后的数据;再利用抽稀之后的GPS数据和处理后的GLAS数据使用克里金插值方法生成研究区DEM。利用1199个GPS点和53个GLAS检验点对最后生成的DEM进行了精度分析, 残差中误差为5 cm, 最大残差绝对值为12 cm。利用原始GPS数据, 原始GPS数据和GLAS数据, 处理后GPS数据利用克立金插值方法分别生成了研究区的DEM, 通过等高线提取分析以及检验点的误差分析, 处理后的GPS数据生成的DEM要优于原始GPS数据的, 证明GPS处理的必要性。 相似文献