Accurate Quantification of Grassland Cover Density in an Alpine Meadow Soil Based on Remote Sensing and GPS

LIU Yan-Sui; HU Ye-Cui; PENG Liu-Ying

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Accurate Quantification of Grassland Cover Density in an Alpine Meadow Soil Based on Remote Sensing and GPS

机译：基于遥感和GPS的高寒草甸土壤草地覆盖密度的准确定量

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The principles of remotely estimating grassland cover density in an alpine meadow soil from space lie in the synchronous collection of in situ samples with the satellite pass and statistically linking these cover densities to their image properties according to their geographic coordinates. The principles and procedures for quantifying grassland cover density from satellite image data were presented with an example from Qinghai Lake, China demonstrating how quantification could be made more accurate through the integrated use of remote sensing and global positioning systems (GPS). An empirical model was applied to an entire satellite image to convert pixel values into ground cover density. Satellite data based on 68 field samples was used to produce a map of ten cover densities. After calibration a strong linear regression relationship (r2 = 0.745) between pixel values on the satellite image and in situ measured grassland cover density was established with an 89% accuracy level. However, to minimize positional uncertainty of field samples, integrated use of hyperspatial satellite data and GPS could be utilized. This integration could reduce disparity in ground and space sampling intervals,and improve future quantification accuracy even more.

机译：从空间上远程估算高山草甸土壤中草地覆盖密度的原理在于，通过卫星通行同步采集原地样品，并根据其地理坐标将这些覆盖密度与其图像属性进行统计联系。并以中国青海湖为例，介绍了从卫星图像数据量化草地覆盖密度的原理和程序，展示了如何通过结合使用遥感和全球定位系统（GPS）来使量化更加准确。将经验模型应用于整个卫星图像，以将像素值转换为地面覆盖密度。使用基于68个现场样本的卫星数据来绘制10个覆盖密度的地图。校准后，卫星图像上的像素值与原位测量的草地覆盖密度之间建立了强线性回归关系（r2 = 0.745），准确度为89％。但是，为了使现场样本的位置不确定性最小化，可以利用超空间卫星数据和GPS的集成使用。这种集成可以减少地面和空间采样间隔中的差异，并进一步提高未来的定量精度。

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《土壤圈（英文版）》 |2005年第6期|778-783|共6页
作者
LIU Yan-Sui; HU Ye-Cui; PENG Liu-Ying;
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作者单位

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101(China);

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101(China);

Graduate School of Chinese Academy of Sciences, Beijing 100039(China);

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101(China);

Graduate School of Chinese Academy of Sciences, Beijing 100039(China);

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收录信息中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
原文格式 PDF
正文语种 chi
中图分类农业基础科学;
关键词
alpine meadow soil; grassland cover density; quantitative remote sensing; Qinghai Lake;

机译：高寒草甸土壤草地覆盖密度定量遥感青海湖;

Accurate Quantification of Grassland Cover Density in an Alpine Meadow Soil Based on Remote Sensing and GPS

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