CANOPY SPECTRAL CHARACTERISTICS UNDER DIFFERENT BACKGROUNDS OF WETLAND AQUATIC VEGETATION
Abstract
This paper presents wetland aquatic vegetation remote sensing data using laboratory experiments on irises (Iris tectorum Maxim) and a simulation of the wetland aquatic vegetation growth environment. The spectral reflectance of the iris canopy under the background of different substrates was monitored. Experimental results show that under different backgrounds of wetland aquatic vegetation, the canopy spectral characteristics are different and present a certain regularity.
Supporting agencies: This work is financially supported by the Zhejiang Provincial Natural Science Foundation of China (Grant No. LY16D010007) and the Foundation of Hangzhou City Science and Technology Bureau (Grant No. 20170533B01).
About the Authors
J. Wen
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
G. Liu
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
Y. Huang
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University; College of Life Environmental Sciences, Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
Y. Pang
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
Y. Hu
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University; College of Life Environmental Sciences, Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
J. Xu
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University; Hangzhou Normal University
China
China
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change
Hangzhou 311121
References
1. S. G. Ackleson, V. Klemas, J. Remote Sens. Environ., 22, N 2, 235–248 (1987).
2. L. Yuan, L. Q. Zhang, J. Remote Sens., 11, N 4, 609–616 (2007).
3. G. Liu, P. Tang, Z. Cai, T. Wang, J. Xu, J. Study Effect Water Background Canopy Spectr. Wetland Aquatic Plant. , 35, N 10, 2970 (2015).
4. Wu Houjian, Wang Xuelei, Wetland Sci., 4, N 4, 304–310 (2006).
5. D. Xu, K. Feng, F. Wu, N. Deng, J. Anal. Sci., 19, N 6, 499–502 (2003).
6. Shi Yingni, Based on the Artificial Neural Network Technology of the High Spectral Remote Sensing Wa- ter Depth Inversion, Ocean University of China (2005).
7. W. M. Lan, H. C. Hua, Z. W. Bin, Res. Environ., Yangtze Basin (2008)
8. K. L. Cadrer, Z. P. Lee, J. COSPAR Colloq., 8, 191–198 (1997).
9. D. R. Lyzenga, J. Appl. Opt., 17, 379–383 (1978).
Review
For citations:
Wen J., Liu G., Huang Y., Pang Y., Hu Y., Xu J. CANOPY SPECTRAL CHARACTERISTICS UNDER DIFFERENT BACKGROUNDS OF WETLAND AQUATIC VEGETATION. Zhurnal Prikladnoii Spektroskopii. 2020;87(1):72-77.
Views: 235
Email this article 