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   修正的土壤 的翻译结果: 查询用时:0.021秒
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修正的土壤
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  modified soil
     TM image is the image obtained from Thematic Mapper(TM) scanner carried by Landsat. In this study, Landsat-5 TM data has been used to calculate the following land surface parameters in Jinta oasis:Normalized difference vegetation index(NDVI), modified soil adjusted vegetation index(MSAVI), fractional vegetation cover, surface albedo and surface temperature.
     TM影像是陆地资源卫星(Landsat)携带的专题绘图仪(ThematicMapper,TM)扫描计获取的遥感图像,近年来,该数据得到了广泛的应用。 本文使用Landsat-5TM数据推算了金塔地区的地表参数,包括标准化差值植被指数NDVI、修正的土壤调整植被指数MSAVI、植被覆盖度、地表反射率及地表温度。
短句来源
     The Modified Soil Adjustment Vegetation Index ( MSAVI) for Longdong loess plateau was calculated based on the shared remote sensing data of Terra/MODIS, and the gradient was also counted based on GTOPO - DEM data provided by the US Geological Survey ( USGS). Then the soil erosion intensity map of Longdong loess plateau region was obtained through calculating the three factors of vegetation index, slopes and average annual rainfall.
     使用国内共享的Terra/MODIS遥感数据计算了陇东黄土高原区修正的土壤调节植被指教(MSAVI),利用美国地质调查局(USGS)提供的CTOPO全球高程数据(DEM)计算了坡度,使用植被指数、坡度和年平均降水量因子计算得到了陇东黄土高原区的土壤侵蚀强度图。
  “修正的土壤”译为未确定词的双语例句
     S model of MSAVI, predicting to LAI that precision and accuracy on are all superior to the index of other vegetation Index and other models, R =0.918, so choose this model as final models icalculating LAI.
     修正的土壤调节植被指数MSAVI的S模型,在对LAI预测上的精密度和准确度都优于其他植被指数和其他模型,R=0.918,因此选择这个模型作为最终LAI的反演模型。
短句来源
     The erosion losses of SOC in Heilongjiang and Jilin Provinces range 0.34~2.84 TgC/a,and the capacity of SOC redeposition in landscape is about 0.27~2.27 TgC/a. The erosion losses of SOC in Heilongjiang and Jilin Provinces range 0.34~2.84 TgC/a.
     应用修正的土壤流失方程(RUSLE)和有关该区土壤侵蚀资料,计算黑龙江和吉林两省每年土壤迁移的碳量为0.34~2.84TgC/a,因沉积作用引起的SOC在景观中再分布的数量为0.27~2.27TgC/a。
短句来源
     In consideration of the spectral character of MODIS data and the reflective spectrum of vegetation and soil, MSAVI (Modified Soil-adjusted Vegetation Index)and NDWI (Normalized Difference Water Index) are deduced using one visible band (0.66 μm) and two near-infrared bands (0.86 μm,1.24 μm).
     通过分析MODIS数据的波谱特性以及植被和土壤的反射波谱特征,选用可见光波段(0 66μm)、近红外波段(0 86μm、1 24μm)提取修正的土壤调整植被指数(MSAVI)和归一化植被水分指数(NDWI);
短句来源
     A Modified Soil-Adjusted Vegetation Index Obtained from Satellite Remote Sensing Data
     一种由卫星遥感资料获得的修正的土壤调整植被指数
短句来源
     Secondly, according to forefathers' research results, this article chooses the Normalized Difference Vegetation Index, soil regulate vegetation index, soil of revision regulate vegetation index , ratio vegetation index as vegetation index that research employs.
     其次,结合前人研究成果,选择归一化差值植被指数(NDVI)、土壤调节植被指数(SAVI)、修正的土壤调节植被指数(MSAVI)、比值植被指数(RVI)作为本研究应用的植被指数;
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  相似匹配句对
     Whether or not the revised B.F.
     该修正的B . F .
短句来源
     soil productivity;
     土壤生产力;
短句来源
     soil fertility;
     土壤肥力;
短句来源
     A Modified Soil-Adjusted Vegetation Index Obtained from Satellite Remote Sensing Data
     一种由卫星遥感资料获得的修正的土壤调整植被指数
短句来源
     NEW COUNT METHOD BASED ON UPDATED COEFFICIENT MATRIX OF EFFICIENCY
     修正的有效系数法
短句来源
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  modified soil
A modified soil-dilution plate method was used for isolating the fungi.
      
Neither species influenced soil pH but both significantly modified soil texture and C-N content in their nest structures.
      
The Modified Soil Adjusted Vegetation Index-2 (MSAVI2) transform provided the best overall accuracy, 82.1%, for classifying hemlock according to tree vigor.
      
The modified soil and surface properties led to distinctly altered energy and moisture exchanges at the surface and as a consequence affected the local and regional climate.
      
Influence of a biodegradable ([S,S]-EDDS) and nondegradable (EDTA) chelate and hydrogel modified soil water sorption capacity on
      
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There is currently a increasing attention on obtaining vegetation distribution, type by using satellite remote sensing data, many different vegetation indexes based on normalized deferent vegetation index have been developed These indexes, such as weighted deferent vegetation index, soil-adjusted vegetation index and transformed soil-adjusted index, can reduce the effects of soil background noise in some degree However the vegetation density distribution or green cover must be known at first, that is to...

There is currently a increasing attention on obtaining vegetation distribution, type by using satellite remote sensing data, many different vegetation indexes based on normalized deferent vegetation index have been developed These indexes, such as weighted deferent vegetation index, soil-adjusted vegetation index and transformed soil-adjusted index, can reduce the effects of soil background noise in some degree However the vegetation density distribution or green cover must be known at first, that is to say, it only fit for undersurface which the vegetation shifted slowly In this paper, we developed a modified soil-adjusted vegetation index, its soil-adjusted factor is self-modified only using satellite remote sensing data The calculation results show: its dynamic range is bigger than that of other vegetation indexes, the deviation from the optimal soil-adjusted vegetation index is the smallest one among the other vegetation indexes, therefore it is very efficient to gained regional soil-adjusted vegetation index using satellite remote sensing data

目前,通过卫星遥感资料确定区域面上植被分布、类型的研究受到许多实用领域的普遍重视,并由此提出了许多形式不同的植被指数。由于土壤背景噪声是造成植被指数不确定的重要原因之一,为此不同学者在标准化差值植被指数的基础上提出了多种旨在能消弱土壤背景噪声的土壤调整植被指数,如权重差值植被指数、土壤调整植被指数和转化土壤调整植被指数等等。这些植被指数不同程度上消弱了土壤背景噪声,但是必须预先已知下垫面植被的密度分布或覆盖百分比,也就是说仅适合于求解某一小范围植被覆盖变化较小下垫面上的植被指数,而且其动态范围也偏小。本文提出了一种修正的土壤调整植被指数,土壤调整因子由植被指数自身调整,不需要其它辅助信息。计算结果表明其动态范围较大,与最佳土壤调整因子下的土壤调整植被指数差异小,因此对应用卫星遥感资料求解区域面上土壤调整植被指数极其有效。

For studying on the land surface parameters over inhomogeneous landscapeof desertification area, the utilization of satellite remote sensing is indispensable. In this study, methods based on Landsat-7TMare proposed and tested for deriving the regional land surface parameters over inhomogeneous landscapesof the Dunhuang experimental area. Dunhuang area is selected as a basic experimental area for the Chinese National Key Programme for Developing Basic Sciences: Research on the Formation Mechanism and Prediction...

For studying on the land surface parameters over inhomogeneous landscapeof desertification area, the utilization of satellite remote sensing is indispensable. In this study, methods based on Landsat-7TMare proposed and tested for deriving the regional land surface parameters over inhomogeneous landscapesof the Dunhuang experimental area. Dunhuang area is selected as a basic experimental area for the Chinese National Key Programme for Developing Basic Sciences: Research on the Formation Mechanism and Prediction Theory of Severe Climate Disaster in China. Three scenes of Landsat TM data used in this study are June 3, August 22, 2000 and January 29, 2001 in Dunhuang area. Some new concepts about the distributions of surface reflectance,surface temperature, MSAVI and vegetation coverage over inhomogeneous landscape of desertification area are point out in this paper.

卫星遥感在研究沙漠化地区非均匀地表特征参数时有其独到的作用。本文提出了一个基于Landsat-7TM资料推算沙漠化地区地表特征参数的方案,并把其用于中国西北地区"我国重大气候和天气灾害形成及预测理论的研究"的敦煌试验区,并且利用3个景Landsat-7TM资料进行了分析研究,得到了一些有关沙漠化地区非均匀地表区域地表特征参数(地表反射率、地表温度、修正的土壤调整植被指数MSAVI和植被覆盖度)的新概念。

Reclaiming virgin land and plowing cropland destroy soil structure and accelerate the loss of soil organic carbon (SOC). Agricultural soil has been identified as one of sources of CO2 in the atmosphere and the potential of carbon sequestration from the atmosphere. Recent studies have indicated that agricultural soils are switching from carbon source to carbon sink of atmospheric CO2 through adopting the best management practices. However, quite often the SOC involved in redeposition in landscape is ignored...

Reclaiming virgin land and plowing cropland destroy soil structure and accelerate the loss of soil organic carbon (SOC). Agricultural soil has been identified as one of sources of CO2 in the atmosphere and the potential of carbon sequestration from the atmosphere. Recent studies have indicated that agricultural soils are switching from carbon source to carbon sink of atmospheric CO2 through adopting the best management practices. However, quite often the SOC involved in redeposition in landscape is ignored when calculating the loss or sequestration of SOC. The purposes of this paper are to calculate the organic C stock of black soils in Northeast China and the amount of C having been released into the atmosphere since agricultural practices initiated in the region, and to evaluate the influence of soil erosion and deposition on SOC losses. The potential carbon sequestration of black soils is also estimated. The results showed that mean SOC density of black soils to 1 m depth in Northeast China is 12.54 kgC/m2,and the SOC stock is 646.2Tg C. The erosion losses of SOC in Heilongjiang and Jilin Provinces range 0.34~2.84 TgC/a,and the capacity of SOC redeposition in landscape is about 0.27~2.27 TgC/a. The erosion losses of SOC in Heilongjiang and Jilin Provinces range 0.34~2.84 TgC/a. The net historical release of CO2 from cultivated black soils to atmosphere is 34.6~434.6 TgC. The potential of carbon sequestration of black soils in Northeast China is 244.3 Tg C,with an average of 1.55 TgC/a over the next 20 years. 

开垦荒地和翻耕农田导致土壤结构破坏,加速土壤有机碳(SOC)损失。通常计算土体中SOC的损失时忽略了侵蚀和沉积作用产生的SOC在景观中的再分布,因而过高地估计了农业土壤对大气CO2的贡献。近年来,土壤科学研究表明,通过采用新的管理措施后,能使农田土壤由大气CO2碳源转变为碳汇。以东北黑土为例,计算其SOC库储量及耕种以来释放到大气中CO2的数量;评价侵蚀和沉积作用对SOC损失的影响;估算东北黑土采用新的管理方式后,该土类可固定大气CO2的潜力。根据第二次土壤普查资料和回归拟合方法,得出东北黑土1m深度的SOC平均密度为12.54kgC/m2,有机碳储量为646.2TgC。应用修正的土壤流失方程(RUSLE)和有关该区土壤侵蚀资料,计算黑龙江和吉林两省每年土壤迁移的碳量为0.34~2.84TgC/a,因沉积作用引起的SOC在景观中再分布的数量为0.27~2.27TgC/a。由此计算自耕种以来,东北黑土净释放到大气中的CO2数量为34.6~434.6TgC。如果采用新的管理措施后,东北黑土最大固碳潜力为244.3TgC,在未来20年内土壤固碳潜力为30.9TgC,平均每年1.55TgC/a。

 
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