首页> 外文会议>ISPRS Technical Commission VII Mid-term Symposium >NDVI FROM LANDSAT 8 VEGETATION INDICES TO STUDY MOVEMENT DYNAMICS OF CAPRA IBEX IN MOUNTAIN AREAS
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NDVI FROM LANDSAT 8 VEGETATION INDICES TO STUDY MOVEMENT DYNAMICS OF CAPRA IBEX IN MOUNTAIN AREAS

机译:来自Landsat 8植被指数的NDVI,用于研究山区Capra Ibex的运动动态

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In this study we analyse the correlation between the spatial positions of Capra ibex (mountain goat) on an hourly basis and the information obtained from vegetation indices extracted from Landsat 8 datasets. Eight individuals were tagged with a collar with a GNSS receiver and their position was recorded every hour since the beginning of 2013 till 2014 (still ongoing); a total of 16 Landsat 8 cloud-free datasets overlapped that area during that time period. All images were brought to a reference radiometric level and NDVI was calculated. To assess behaviour of animal movement, NDVI values were extracted at each position (i.e. every hour). A daily "area of influence" was calculated by spatially creating a convex hull perimeter around the 24 points relative to each day, and then applying a 120 m buffer (figure 4). In each buffer a set of 24 points was randomly chosen and NDVI values again extracted. Statistical analysis and significance testing supported the hypothesis of the pseudo-random NDVI values to be have, in average, lower values than the real NDVI values, with a p-value of 0.129 for not paired t-test and p-value of <0.001 for pairwise t-test. This is still a first study which will go more in depth in near future by testing models to see if the animal movements in different periods of the year follow in some way the phenological stage of vegetation. Different aspects have to be accounted for, such as the behaviour of animals when not feeding (e.g. resting) and the statistical significance of daily distributions, which might be improved by analysing broader gaps of time.
机译:在这项研究中,我们分析了Capra Ibex(山羊)的空间位置在小时基础上的相关性,并从Landsat 8数据集中提取的植被指数获得的信息。八个人用衣领标记,带有GNSS接收器的衣领,自2013年初以来每小时记录他们的立场,直到2014年(仍然正在进行);在该时间段内,共有16个覆盖8个无云数据集重叠该区域。所有图像都被带到参考辐射率水平,并计算NDVI。为了评估动物运动的行为,在每个位置(即每小时)提取NDVI值。通过在相对于每天的24个点周围形成凸壳周长,然后施加120 m缓冲器(图4),计算每日“影响区域”。在每个缓冲区中,一组24个点被随机选择,并再次提取NDVI值。统计分析和意义测试支持伪随机NDVI值的假设,平均值低于实际NDVI值,P值为0.129,对于不成对的T检验和P值<0.001用于成对T检验。这仍然是第一个研究,通过测试模型将在不久的将来进入更多的研究,以了解年度不同时期的动物运动遵循植被的酚类阶段。必须考虑不同的方面,例如动物不喂食(例如休息)的行为和日常分布的统计学意义,这可以通过分析更广泛的时间差距来改善。

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