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Applications of Remote Sensing and Geographic Information System to Identify Rice Planting Season During El Nino Years: Case Study in the Pringsewu District, Province of Lampung

机译:遥感和地理信息系统在埃尔尼诺省鉴定水稻种植季节的应用 - 南省省泉水区案例研究

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Spatial Information about rice planting season (RPS) in a wide areas, particularly during periods of El Nino, is important to support an information about the availability of rice continously. Application of remote sensing and geographic information system (GIS) technology can support it's information continuously and accurate. In this study, we attempted to identify the rice planting season during El Nino years of 1997, 2006 and 2015 in the Pringsewu district, Lampung and we compared with meteorological drought index. Spatial information of the RPS obtained through Interpretation of multitemporal Landsat data aquired in 1997, 2006 and 2015 using normalized difference vegetation index (NDVI) and the humidity index. While standardized precipitation index (SPI) is used as a indicator of meteorological drought. This study has shown that the application of remote sensing and GIS could accurately monitor the rice planting season during the periods of El Nino in 1997, 2006 and 2015. The fallow land dominated during the El Nino years and there were no significant difference between years. While drought information based on SPI values showed different results between years of El Nino events. In this paper we also discussed the relationship between distribution of fallow land and meteorological drought in a spatial perspective.
机译:关于大米种植季节(RPS)的空间信息,特别是在El Nino期间,对于持续支持稻米的可用性而言非常重要。遥感和地理信息系统(GIS)技术的应用可以不断支持它的信息。在这项研究中,我们试图在1997年的El Nino岁月,2006年和2015年在PringseSewu区,露天区举行水稻种植季节,与气象干旱指数相比。通过归一化差异植被指数(NDVI)和湿度指数来解释通过1997年,2006和2015年使用的多型Landsat数据来获得RPS的空间信息。虽然标准化降水指数(SPI)被用作气象干旱的指标。本研究表明,遥感和GIS的应用可以在1997年,2006年和2015年在El Nino期间准确地监测水稻种植季节。在El Nino岁月的休耕地区占主导地位,几年之间没有显着差异。虽然基于SPI值的干旱信息显示了埃尔尼诺多年的结果。本文还讨论了空间视角下休耕土地分布与气象干旱之间的关系。

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