基于归一化光谱指数的土壤有机质含量空间分布状况研究  

Spatial Distribution of Soil Organic Matter Content Based on Hyperspectral Index NDI

作　　者：祁亚琴[1,2] 张显峰[1] 张立福 吕新[2] 张泽[2] 陈剑[2] 李新伟[2] 王飞[2] 彭奎 QI Ya-qin;ZHANG Xian-feng;ZHANG Li-fu;Lv Xin;ZHANG Ze;CHEN Jian;LI Xin-wei;WANG Fei;PENG Kui(Ecological Remote Sensing Laboratory,School of Earth and Space Sciences,Peking University,Beijing 100871,China;Key Laboratory of Oasis Eco-agriculture of Xinjiang Production and Construction Corps,College of Agronomy,Shihezi University,Shihezi,Xinjiang 832003,China;Hyperspectral Laboratory of the Research Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]北京大学地球与空间科学学院/遥感研究所生态遥感实验室,北京100871 [2]石河子大学/新疆兵团绿洲生态农业重点实验室,新疆石河子832003 [3]中国科学院遥感与数字地球研究所高光谱研究室,北京100094

出　　处：《新疆农业科学》2018年第2期337-343,共7页Xinjiang Agricultural Sciences

基　　金：国家自然科学基金项目"基于高光谱遥感数据的土壤主要养分含量信息的获取研究"(61465011);国家留学基金(201405215035);石河子大学青年教师与对口支援高校名师"结对子"培养(SDJDZ201509);石河子市科技攻关项目"利用3S技术快速监测农田土壤信息研究与示范"(2013GY01)~~

摘　　要：【目的】研究土壤主要养分含量特征信息的光谱预测值,使其更具直观性、空间性及科学性,为大尺度对农田的土壤养分空间分布状况获取、评价与科学管理提供依据。【方法】利用Arc GIS 9.3的普通克里格(Ordinary Kriging)插值方法,对小面积及大尺度试验区的土壤样本点进行有机质反演插值填图,并将实验室化学测定土壤有机质含量的实测值与其高光谱模型预测值进行Kriging插值填图比较,分析土壤有机质含量的实测值与预测值的空间分布状况差异。【结果】从小面积试验区到大尺度条田地块插值后的空间分布情况来看,土壤有机质含量的光谱预测值(基于归一化光谱指数NDI[495,485]预测)与实测值之间具有较好的相似性,预测效果较好。【结论】通过土壤有机质含量信息状况的空间分布填图来确定农田分区基本管理单元的适宜尺度,为实施大区域农田养分分区精量管理的划分,提出科学的平衡施肥方案,为适合新疆及兵团特色的精准农业管理、土壤养分快速探测、精量施肥等技术提供技术理论支持。【Objective】To make the spectral prediction value of the main nutrient content information of the soil more intuitive,spatial and scientific,the spatial distribution of soil nutrients in farmland can be obtained,evaluated and scientifically managed in the future.【Method】In this paper,the ordinary Kriging Krigingof ArcGIS 9.3 was used.The soil sample points in small area and large scale experimental area were interpolated by organic matter inversion method.The soil organic matter content measured by laboratory chemistry was compared with the predicted value of hyperspectral model by Kriging interpolation mapping.The difference of spatial distribution between the measured value and the predicted value of soil organic matter content was further analyzed.【Result】According to the spatial distribution of soil organic matter content after interpolation from small area test area to large scale strip plot,there is a good similarity between the spectral prediction value(based on normalized spectral index NDI[495,485]prediction)and the measured value of soil organic matter content,and the effect of prediction was better.【Conclusion】The results showed that the suitable scale of the basic management unit of farmland zoning could be determined by mapping the spatial distribution of soil organic matter content information,and the division of precision management of farmland nutrient zoning in the future would be carried out.The scientific balanced fertilization scheme is put forward,which provides technical and theoretical support for the exploration of precision agriculture management,rapid soil nutrient detection and precision fertilization,which are suitable for Xinjiang and Xinjiang Production and Construction Coprs in the future.

关 键 词：高光谱遥感 土壤 有机质含量 NDI 克里金 

分 类 号：S14-3[农业科学—肥料学]