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应用生态学报 ›› 2012, Vol. 23 ›› Issue (07): 1774-1780.

• 研究报告 • 上一篇    下一篇

辽西不同针叶被害率的油松冠层光谱特征

冯锐1**,张玉书1,于文颖1,武晋雯1,王培娟2,纪瑞鹏1,车宇胜3,朱永宁3   

  1. (1中国气象局沈阳大气环境研究所, 沈阳 110016; 2中国气象科学研究院, 北京 100081;3沈阳农业大学农学院, 沈阳 110866)
  • 出版日期:2012-07-18 发布日期:2012-07-18

Spectral characteristics of Pinus tabulaeformis  canopy with different damaged rates of needle leaf in western Liaoning Province, Northeast China.

FENG Rui1, ZHANG YU-shu1, YU Wen-ying1, WU jin-wen1, WANG Pei-juan2, JI Rui-peng1, CHE Yu-sheng3, ZHU Yong-ning3   

  1. (1Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China; 2Chinese Academy of Meteorological Science, Beijing 100081, China; 3Shenyang Agricultural University, Shenyang 110866, China)
  • Online:2012-07-18 Published:2012-07-18

摘要: 通过对辽宁西部大面积油松冠层反射光谱的测定,分析了不同针叶被害率的油松冠层光谱反射率的差异.结果表明:在可见光波段,健康植被和不同针叶被害率的油松冠层光谱均符合绿色植物的光谱特征,但针叶被害率大于60%的油松冠层的红谷不十分明显;在近红外波段,随着针叶被害率的减少,780~1350 nm波段范围的光谱反射率增大,1450~1800和1950~2350 nm波段范围的光谱反射率下降.随着针叶被害率的增加,红边拐点波长位置向短波方向移动,即出现“蓝移”现象.不同针叶被害率与红边特征参数和多种植被指数均具有显著或极显著的相关关系,其中,以DVI(1470,860)为参数所建模型能更好地监测油松冠层针叶被害率.

Abstract: Through the measurement of the spectral reflectance of large areas Chinese pine (Pinus tabulaeformisCarr.) canopy in western Liaoning Province, this paper analyzed the difference of the spectral reflectance of the canopies with different damaged rates of needle leaf. In visible band, the characteristics of the spectral reflectance of P. tabulaeformis canopies with healthy and damaged needle leaf were in accordance with the spectral characteristics of green plants, but the position of red valley was not obvious when the damaged rate of needle leaf was higher than 60%. In nearinfrared band, with the decrease of the damaged rate of needle leaf, the canopy spectral reflectance increased at 780-1350 nm, but decreased at 1450-1800  and 1950-2350 nm. With the increase of the damaged rate, the position of red-edge inflection moved to the short-wave direction. There were significant correlations between the damaged rate of needle leaf and the red edge feature variables and some vegetation indices. The model based on DVI (1470, 860) could be more reliable for predicting the damaged rate of needle leaf in P. tabulaeformis canopy in western Liaoning Province.