SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness

Polina Lemenkova
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引用次数: 5

Abstract

Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their agricultural significance. Vegetation in Iceland is fragile due to the harsh climate, climate change, overgrazing and volcanic activity, which increase soil erosion. The study was conducted on a Landsat TM image using SAGA GIS as a technical tool for raster bands calculations. The NDVI dataset shows a range from -0.56 to 0.24, with 0 indicating ‘no vegetation’, and negative values – ‘other surfaces’ (e.g. rocks, open terrain). The DVI, compared to the NDVI, shows statistically non-normalized values ranging from -112 to 0, with extreme negative values while the coastal vegetation areas are badly distinguished from the water areas. The NRVI shows an extent from -0.24 to 0.48 with higher values for vegetation. The NRVI reduces topographic, solar and atmospheric effects and creates a normal data distribution. RVI shows a range in a dataset from 0.2 to 3.2 with vegetation in the river valleys clearly visible and depicted, while the water areas have values 0.8 to 1.0. The CTVI shows corrected TVI, in a data range -0.10 to 1.10, as the dataset of NDVI were negative. The TVI dataset ranges from 0.44 to 0.80 with the ice-covered areas and glaciers distinguishable and water values within a range from 0.60 to 0.64 and the vegetation from 0.60 to 0.44. The TTVI dataset ranges from 0.40 to 0.80 performing similarly to the TVI, but more refined with vegetation values 0.64 to 0.68. SAVI dataset ranges from -0.80 to 0.30 with minimized effects of soil on the vegetation through a constant soil adjustment factor added into the NDVI formula. The paper presents a comparison of eight VIs for Arctic vegetation monitoring. The overall behavior of SAGA GIS in calculation and mapping of the VIs is effective in terms of their use for vegetation mapping of the region.
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利用Landsat TM计算多光谱植被指数的SAGA GIS进行植被绿化制图
该研究提出了八个植被指数(VIs)的比较分析,用于检查冰岛北部海岸的植被绿化率。研究区域的地理范围由两个峡湾(Eyjafjörður和Skagafjörður)的坐标确定,这两个峡湾因其农业意义而闻名。由于恶劣的气候、气候变化、过度放牧和火山活动加剧了土壤侵蚀,冰岛的植被非常脆弱。该研究是在Landsat TM图像上进行的,使用SAGA GIS作为光栅带计算的技术工具。NDVI数据集显示的范围从-0.56到0.24,0表示“没有植被”,负值表示“其他表面”(如岩石、开阔地形)。与NDVI相比,DVI在统计上呈现非归一化值,范围为-112 ~ 0,极值为负值,沿海植被区与水域区区分较差。NRVI的变化范围为-0.24 ~ 0.48,植被值较高。NRVI减少了地形、太阳和大气的影响,形成了正态数据分布。RVI在数据集中显示的范围从0.2到3.2,河谷中的植被清晰可见并被描绘出来,而水域的值为0.8到1.0。由于NDVI数据集为负,CTVI显示校正后的TVI,数据范围为-0.10至1.10。TVI数据集的范围为0.44 ~ 0.80,可区分冰雪覆盖面积和冰川,水体值在0.60 ~ 0.64之间,植被值在0.60 ~ 0.44之间。TTVI数据集的取值范围为0.40 ~ 0.80,与TVI相似,但更精细,植被值为0.64 ~ 0.68。SAVI数据范围为-0.80 ~ 0.30,通过在NDVI公式中加入恒定的土壤调整因子,将土壤对植被的影响最小化。本文介绍了用于北极植被监测的8种VIs的比较。SAGA GIS在VIs的计算和制图方面的总体行为是有效的,因为它们用于该地区的植被制图。
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