资源科学 ›› 2017, Vol. 39 ›› Issue (3): 545-556.doi: 10.18402/resci.2017.03.16
焦伟1,2(), 陈亚宁1(
), 李稚1, 李玉朋1,2, 黄晓然1,2, 李海霞1,2
收稿日期:
2016-08-22
修回日期:
2017-01-18
出版日期:
2017-03-20
发布日期:
2017-03-20
作者简介:
作者简介:焦伟,女,山东泰安人,硕士生,主要从事生态水文方面的研究。E-mail:
基金资助:
Wei JIAO1,2(), Yaning CHEN1(
), Zhi LI1, Yupeng LI1,2, Xiaoran HUANG1,2, Haixia LI1,2
Received:
2016-08-22
Revised:
2017-01-18
Online:
2017-03-20
Published:
2017-03-20
摘要:
植被净初级生产力(Net Primary Productivity,NPP)是评价陆地生态系统的重要参数,植被NPP的反演为全球碳循环的研究提供了重要的参考依据。本文基于2000-2014年的MODIS及气象站点数据,引入逐步线性回归、主成分回归、偏最小二乘回归以及岭回归分析,构建了多元逐步回归模型、主成分回归模型、偏最小二乘回归模型和岭回归模型,并对这4种模型进行了评估。结果表明:①多元逐步回归模型被认为是一种可以简单、高效、准确地反演西北干旱区植被NPP的模型,且模拟结果与MOD17A3产品及实测值具有很强的相关性;②西北干旱区多年平均植被NPP的分布具有明显的区域差异,山区增加,平原区减少,呈现出北部及西北部高,而南部及东南部低的特征;③西北干旱区NPP在年际变化上呈波动增加趋势,线性增长率为0.40gC/(m·a)。自2000年以来,58.66%区域的NPP呈现增长趋势,13.64%的地区保持不变,27.7%的地区表现为退化趋势。
焦伟, 陈亚宁, 李稚, 李玉朋, 黄晓然, 李海霞. 基于多种回归分析方法的西北干旱区植被NPP遥感反演研究[J]. 资源科学, 2017, 39(3): 545-556.
Wei JIAO, Yaning CHEN, Zhi LI, Yupeng LI, Xiaoran HUANG, Haixia LI. Inversion of net primary productivity in the arid region of Northwest China based on various regressions[J]. Resources Science, 2017, 39(3): 545-556.
表3
不同建模方法的评估指标比较"
逐步回归模型 | 主成分回归 | 偏最小二乘回归 | 岭回归 | |||||
---|---|---|---|---|---|---|---|---|
拟合 | 预测 | 拟合 | 预测 | 拟合 | 预测 | 拟合 | 预测 | |
NS | 0.83 | 0.85 | 0.40 | 0.40 | 0.80 | 0.81 | 0.79 | 0.81 |
Precision | 79.94 | 84.43 | 55.06 | 60.32 | 77.83 | 82.35 | 78.11 | 82.63 |
PBIAS | -0.68 | -0.77 | 9.42 | 14.02 | 0.23 | -1.24 | -0.35 | -0.87 |
R2 | 0.82 | 0.85 | 0.45 | 0.50 | 0.80 | 0.81 | 0.80 | 0.81 |
SRMSE | 0.42 | 0.39 | 0.78 | 0.77 | 0.45 | 0.44 | 0.45 | 0.44 |
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