使用分光光度计和遥感图像分析班图尔地区甘蔗(saccharum officinarum l.)的光谱模式

Karen Slamet Hardjo, Like Indrawati
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引用次数: 0

摘要

糖成为印尼实现国家粮食安全的目标商品之一。糖是由甘蔗(Saccharum officinarum L.)生产的,大面积种植需要有效和高效的处理和低成本。遥感是一种被认为适合回答这些需求的技术,通过遥感图像可以根据图像上记录的光谱响应来分析甘蔗植物的物理状况。传感器捕获的光谱响应有望帮助分析这种植物与植物生长、植物健康以及甘蔗的糖产量的关系。由于缺乏对光谱模式的研究,特别是缺乏作为遥感数据分析参考的原位光谱模式,使得这项研究变得非常重要。班图尔摄政是一个农业面积很大的地区,包括甘蔗种植园。本研究采用的方法是对遥感影像进行数字数据处理,分析甘蔗的光谱模式,然后与分光光度计在田间直接测量的甘蔗光谱模式数据进行比较。然后分析从两个来源获得的光谱模式,以确定甘蔗的敏捷性。研究结果描述了甘蔗植株的光谱模式特征或反射率模式,可用于甘蔗种植区制图。与Landsat 8 OLI图像的反射曲线相比,利用分光光度计测量的甘蔗植物反射曲线更加平滑,波长也更多。基于实测地物光谱反射图的甘蔗植物分布比基于Landsat 8 OLI影像地物光谱反射图的甘蔗分布更具有相关性。野外测量光谱库与Landsat 8 OLI图像的分类表明,野外测量光谱库比Landsat 8 OLI图像的采样光谱库更适合作为基于光谱的制图基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pola spektral tanaman tebu (saccharum officinarum l.) Menggunakan spektrofotometer dan citra penginderaan jauh di kabupaten bantul
Sugar becomes one of the commodities targeted to achieve Indonesia national food security. Sugar is produced from sugarcane (Saccharum officinarum L.), extensive plantations require effective and efficient handling and low cost. Remote sensing is a technology that is considered appropriate to answer those needs, through remote sensing image can be analyzed to the physical condition of sugar cane plant based on the spectral response recorded on the image. The spectral response captured by the sensor is expected to help analyze this plant in relation to plant growth, plant health, as well as the production of sugar yields in sugarcane. The lack of spectral pattern research, especially the in situ spectral pattern that is used as a reference for remote sensing data analysis, makes this research important to do. Bantul Regency is a region that has a large agricultural area, including sugar cane plantation. The method used in this research is digital data processing on remote sensing image to be analyzed spectral pattern especially in sugarcane which then compared with data of spectral pattern of sugar cane which is measured directly in the field using spectrophotometer. Spectral patterns obtained from two sources are then analyzed to determine the agility of sugarcane. The result of this research is give description about spectral pattern characteristic or reflectance pattern in sugar cane plant so it can be used for mapping of sugar cane plantation. The Sugar cane Plant reflected curve from the field measurements by spectrophotometer is noticeably smoother and has more wavelengths than the reflected curves of the Landsat 8 OLI Image. The distribution of sugar cane plant based on the spectral reflectance pattern of the object of field measurement is more relevant than the distribution of sugarcane based on the spectral reflection pattern of the object from Landsat 8 OLI Image. The classification of the field measurement spectral library and the Landsat 8 OLI Image shows that the spectral library of field measurements is better to serve as the basis for spectral-based mapping than the sampled spectral libraries in Landsat 8 OLI Image.
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