摘要
土壤有机碳是土壤肥力的核心指标之一,理解其空间分布格局对促进精准农业的发展和科学施肥具有重要意义。本研究旨在检验TM影像结合地面采样数据分析黑龙江省黑土分布区表层土壤有机碳空间分布格局的可行性。结果表明:1)表层土壤有机碳浓度与TM5波段呈显著正相关(r=0.553,P<0.01),与TM4、TM5波段影像像素值之间满足二次多项式回归关系(R2=0.6791,P<0.05);2)回归模型对表层土壤有机碳空间分布格局具有较好的预测效果(R2=0.7097,P<0.05);3)海拔高于200m的地区表层土壤有机碳浓度显著高于海拔低于200m的地区(P<0.05)。
Soil organic carbon （SOC） is one of the core indices of soil fertility. To understand the spatial distribution pattern of SOC is of importance in promoting the development of precision agriculture and in implementing scientific fertilization. The objective of this study was to examine the feasibility of using TM image combined with field observation data in approaching the spatial distribution pattern of surface SOC in Heilong^iang Phaeozem region. The results indicated that the SOC had a significant positive correlation （r =0. 553, P 〈0. 01 ） with TM 5 band, and a binomial regression （R2 =0. 6791, P 〈0. 05） with the image intensities ofTM 4 and 5 bands. Regression model could better predict the spatial distribution pattern of SOC （R2 = 0. 7097, P 〈 0. 05 ）, and the SOC concentration was significantly higher in the regions with an altitude 〉 200 than those with the altitude of 〈 200 m （P 〈 0. 05 ）.
出处
《生态学杂志》
CAS
CSCD
北大核心
2008年第3期333-338,共6页
Chinese Journal of Ecology
基金
国家科技支撑计划项目(2006BAD05B05)
中国科学院知识创新工程资助项目(KZCX2-YW-407)
关键词
遥感
黑土
模型精度
回归分析
remote sensing
phaeozem
model precision
regression analysis.
