Spectral Reflectance Characteristics of Dominant Plant Species at Different Eco-Restoring Stages in the Semi-Arid Grassland
PENG Yu1, MI Kai1, QIN Ya1, QING Feng-ting1, LIU Wei-chen1, XUE Da-yuan1, LIU Xue-hua2*
1. College of Life & Environmental Sciences, Minzu University of China, Beijing 100081, China 2. School of Environment, Tsinghua University, Beijing 100084, China
Abstract:The objective of the research is to apply hyperspectral technique into eco-restoring monitoring. Through the ASD Fields HH portable field spectrometer, the hyperspectral data of dominant plant species in vegetation at different eco-restoring stages in semi-arid grassland in Helin County, Inner Mongolia were collected. The original spectrum reflected data were pretreated by wavelet threshold denoising through ViewSpecPro software before analysis. Using the first derivative spectra between 660 and 800 nm, and the methods of detrended canonical correspondence analysis (DCCA) by Canoco 4.5 software, the canopy hyperspectral datum of 6 dominant plant species was calculated. The results indicated that the dominant plant species at early succession stage were Setaria viridis and Caragana microphylia, at 5 years eco-restoring stage they were Salsola collina and Caragana microphylia and at late succession stage they were Pinus sylvestnis var. mongolica and Salsola collina, same as field survey. The graph of DCCA indicated that the influential bands of dominant species canopy at early eco-succession stage were short bands, with a large variation among species, the influential bands at 5 years eco-restoring stage were near infrared bands between 1 000 and 1 050 nm, and that at late stage were near infrared bands of 1 040~1 075 nm. The DCCA also showed obviously differences in canopy spectrum among 6 dominant species, and obviously differences among 3 eco-restoring stages.
[1] YANG Min-hua, LIU Liang-yun, LIU Tuan-jie, et al(杨敏华, 刘良云, 刘团结, 等). Acta Geodaetica Cartographica Sinica(测绘学报), 2002,31(4): 316. [2] Luo Juhua, Huang Wenjiang, Zhao Jinling, et al. Applied Earth Observations and Remote Sensing, 2013, 6(2): 690. [3] Moses A C, Andrew K, Skidmore. Remote Sensing of Environment, 2006, 101(2): 181. [4] TANG Yan-lin, WANG Ren-chao, HUANG Jing-feng, et al(唐延林, 王人潮, 黄敬峰, 等). Journal of Remote Sensing(遥感学报), 2004, 8(2): 185. [5] Flores-de-Santiago Francisco, Kovacs John M, Flores-Verdugo Francisco. Wetlands Ecology and Management, 2013, 21(3): 193. [6] Reyniers M, Walvoort D J J, De Baardemaaker J. International Journal of Remote Sensing, 2006, 27(19): 4159. [7] Singh Shardendu K, Hoyos-Villegas Valerio, Ray Jeffery D, et al. Field Crops Research, 2013, 149: 20. [8] LIU Xiao-jun, TIAN Yong-chao, YAO Xia, et al(刘小军,田永超,姚 霞,等). Scientia Agricultura Sinica(中国农业科学), 2012, 45(3): 435. [9] Ter Braak C J F, Smilauer P. CANOCO Reference Manual and CanoDraw for Windows User’s Guide, 2002, Microcomputer Power(Ithaca NY, USA). [10] DU Juan, AN Dong, XIA Tian, et al(杜 娟,安 东,夏 田,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33 (12): 3207. [11] GUO Ran, WANG Xiao-ke, LU Fei, et al(郭 然, 王效科, 逯 非, 等). Acta Ecologica Sinica(生态学报), 2008, 28(2): 862. [12] Strachan I B, Patteye, Boisvert J B. Remote Sensing of Environment, 2002, 80: 213. [13] Stroppiana D, Boschetti M, Brivio P A, et al. Field Crops Research, 2009, 111: 119. [14] Zhu Y, Yao X, Tian Y C, et al. International Journal of Applied Earth Observation and Geoinformation, 2008, 10(1): 1.