绿洲植被覆盖度指标提取技术研究_论文 关键词: 植被覆盖度;遥感;信息提取;归一化植被指数;亚像元 [gap=816]Key words:vegetation fraction;remote sensing ;information extraction;NDVI;sub-pixel
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计算植被盖度的实质就是混合像元分解,基于混合像元分解技术提出了植被盖度(Vegetation Fraction)的概念[ 21],植被盖度指单个像元内植被的反射率占总反射率的比率。
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vegetation fraction estimation 植被覆盖率估算
vegetation fraction evaluation 植被覆盖度评价
Vegetation fraction is a most important indicating to vegetation, and it is one of the most important factors of eroding soil.
植被覆盖度是衡量地表植被状况的一个最重要的指标,也是影响土壤侵蚀与水土流失的主要因子。
参考来源 - 植被覆盖度的遥感估算方法研究But the area is extended from the data of remote sensing in the pixel scale. The problem was resolved by introducing the vegetation fraction in this study.
但利用遥感数据获得的研究区植被分布面积在像元尺度上是被扩大的,因而本研究尝试通过引入各像元植被盖度来解决该问题。
参考来源 - 黑河下游地下水波动带生态需水量空间分布研究·2,447,543篇论文数据,部分数据来源于NoteExpress
Meanwhile, in the process of ecological environment construction, the middle and high grade vegetation fraction degraded.
与此同时,在生态环境建设过程中,原有中、高覆盖度植被发生退化。
Vegetation fraction is a very important index to score the vegetation coverage on the land surface and is used in many aspects as one of the input parameters.
植被覆盖度是衡量地表植被覆盖的一个重要指标,在许多方面作为重要参数输入。
The results show that: VBSI may decrease the error of vegetation fraction resulted from the area of image shadow, and the error is 50% less than that from NDVI.
研究结果表明:VBSI在估算山区的植被覆盖信息上可以降低影像阴影信息的干扰,总体误差是归一化植被指数NDVI 的50%;
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