摘要
利用多光谱LandSat TM遥感影像反演辽宁省阜新镇表层土壤有机质的空间格局,筛选出与土壤有机质分布相关的TM波段,分析并确定表层土壤有机质含量与TM1、TM2、TM3、TM4、TM5、TM6、TM7波段亮度值(digital number,DN)的相关关系,建立了土壤有机质含量的光谱预测模型.结果表明:研究区表层土壤有机质含量与TM4、TM5波段DN值呈极显著的负相关关系(r分别为-0.617和-0.623,P<0.001),与TM3、TM5波段DN值之间满足负二次多项式回归关系(R2=0.9134,P<0.001);基于TM3、TM5波段DN值的回归模型对研究区表层土壤有机质含量的预测结果可靠(R2=0.9151,P<0.001).研究区表层土壤有机质含量<10g·kg-1的农田主要分布在山地边缘地带,而平坦地区农田表层土壤有机质含量一般>10g·kg-1,部分达到15～20g·kg-1.
Remotely sensed multispectral LandSat TM image was used to analyze the spatial pattern of surface soil organic matter across the cropland in Fuxin Town of Liaoning Province.The proper bands of the TM image that correlated with the distribution of surface soil organic matter were selected,and the quantitative relationships between surface soil organic matter and the digital number（DN） values of bands TM 1,TM 2,TM 3,TM 4,TM 5,TM 6,and TM 7 were analyzed and determined,which could be applied to establish a prediction model of surface soil organic matter.It was shown that the surface soil organic matter in study area had a strong negative correlation with the DN values of TM 4 and TM 5（r=-0.617 and -0.623,P0.001）,and an inverse second order polynomial regression with the DN values of TM 3 and TM 5（R2=0.9134,P0.001）.The regression model using the DN values of TM 3 and TM 5 could make a reliable prediction of the spatial pattern of surface soil organic matter（R2=0.9151,P0.001）.Across the study area,the cropland with soil organic matter content less than 10 g·kg-1 was mainly distributed in the zones at hill foot,while that with surface soil organic matter content usually more than 10 g·kg-1 and partly reached 15-20 g·kg-1 was in flat zone.
出处
《应用生态学报》
CAS
CSCD
北大核心
2010年第4期883-888,共6页
Chinese Journal of Applied Ecology
基金
辽宁省节水农业重点实验室项目
国家科技支撑计划项目(2008BADA4B06)
辽宁省重大科技项目(2008212003)
中国科学院陆地生态过程重点实验室开放项目资助
关键词
多光谱TM影像
土壤有机质
空间格局
multispectral TM image
soil organic matter
spatial pattern.
