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首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >HYPERSPECTRAL DATA ANALYSIS OF N-FERTILISATION EFFECTS ON WINTER WHEAT: A CASE STUDY OF HUIMIN COUNTY, NORTH CHINA PLAIN
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HYPERSPECTRAL DATA ANALYSIS OF N-FERTILISATION EFFECTS ON WINTER WHEAT: A CASE STUDY OF HUIMIN COUNTY, NORTH CHINA PLAIN

机译：冬小麦氮肥效应的高光谱数据分析-以华北平原惠民县为例

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摘要

High nitrogen fertiliser applications are very common in many densely populated areas as in the North China Plain (NCP). A still growing population and an ongoing economic progress enforce that process. Remote sensing methods can help to optimize the N-management for diagnosing crop N status on a field and regional level. For that purpose, spectral and agronomic data were collected during the vegetation period of winter wheat (Triticum aestivum L.) in 2006 and in 2007 in the study area of Huimin County. In a post-processing step, a hyperspectral and agronomic data library was established which enables the analysis of spectra in dependence of agronomic data. The investigated parameters include biomass, N-uptake, LAI (Leaf Area Index), plant height and others. Finally, a model was developed which could be applied for extrapolation of the regional knowledge by using hyperspectral air or satellite bome remote sensing data. This paper shows that the collection and postprocessing of spectral and agronomic data of winter wheat in combination with GIS (Geographic Information Systems) and RS (Remote Sensing) analysis help to identify over-fertilised and undersupplied managements for different phenological stages from shooting to heading.
机译：在华北平原（NCP）的许多人口稠密地区，高氮肥的施用非常普遍。仍在增长的人口和持续的经济进步推动了这一进程。遥感方法可以帮助优化氮管理，以在田间和区域一级诊断作物的氮状况。为此，在惠民县研究区分别于2006年和2007年收集了冬小麦（Triticum aestivum L.）植被期的光谱和农艺数据。在后处理步骤中，建立了高光谱和农艺数据库，该数据库能够根据农艺数据分析光谱。研究的参数包括生物量，氮吸收量，LAI（叶面积指数），株高等。最后，开发了一个模型，该模型可以通过使用高光谱空气或卫星bome遥感数据来推断区域知识。本文表明，冬小麦光谱和农艺数据的收集和后处理与GIS（地理信息系统）和RS（遥感）分析相结合，有助于确定从拍摄到抽穗期不同物候阶段的过度受精和供应不足的管理方式。

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