Cartosat-1 Image Segmentation Technique for Shade Tree Crown Density in Tea Gardens of East India in Relation to Terrain Geometry

D. Dutta, Libeesh Lukose, A. Bajpai, Uttam Kumar Bhunia, R. Singh, Sourav Samanta
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引用次数: 3

Abstract

One of the factors determining tea quality is shadow casting by the shade trees. Besides regulating incoming solar radiation shade trees also helps maintaining the moisture in soil and nutrient recycling. However the optimum shade density depends upon the elevation, slope and aspect. In the present study image segmentation technique was employed on Cartosat-1 data to capture the vertical crown density of the shade trees. Significant positive correlations (r 2 =0.91) were found between observed and measured vertical crown density. Based upon the crown density the tea gardens were classified. Further the relation between crown density and terrain parameters has been analysed. Significant negative correlation was observed with elevation (-0.590) and slope (-0.627) which indicates that to increase in elevation and/or percent slope the shade density decreases.
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基于地形几何关系的东印度茶园遮荫树冠密度制图技术
决定茶叶品质的因素之一是遮荫树的阴影。除了调节太阳辐射外,遮荫树还有助于保持土壤水分和养分循环。然而,最佳遮荫密度取决于海拔、坡度和坡向。本研究采用图像分割技术,对Cartosat-1数据进行垂直树冠密度的提取。垂直树冠密度与观测值呈显著正相关(r 2 =0.91)。根据树冠密度对茶园进行分类。进一步分析了树冠密度与地形参数的关系。与海拔高度(-0.590)和坡度(-0.627)呈显著负相关,表明随着海拔高度和坡度百分比的增加,遮荫密度降低。
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CiteScore
1.50
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0.00%
发文量
2558
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