Extraction of wetland vegetation information using hyperspectral image data

CHAI Ying, RUAN Renzong, FU Qiaoni

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (01) : 181-184.

PDF(1704910 KB)
PDF(1704910 KB)
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (01) : 181-184. DOI: 10.3969/j.issn.1000-2006.2015.01.033

Extraction of wetland vegetation information using hyperspectral image data

  • CHAI Ying, RUAN Renzong*, FU Qiaoni
Author information +
History +

Abstract

In this paper, we mapped wetland vegetation with 3 m spatial resolution,126-band HyMap image data in California’s Sacramento-San Joaquin delta. Specific vegetation indices were constructed and a decision tree model was used to identify wetland vegetation based on spectral analysis and field investigation. The result showed that we could construct suitable specific vegetation indices, according to the spectral difference obvious at near infrared bands(0.75-1.3 μm), which could be effective in distinguishing wetland vegetation and allowing for species-level detection necessary to map invasive species.

Cite this article

Download Citations
CHAI Ying, RUAN Renzong, FU Qiaoni. Extraction of wetland vegetation information using hyperspectral image data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2015, 39(01): 181-184 https://doi.org/10.3969/j.issn.1000-2006.2015.01.033

References

[1] Marion L,Paillison J M. A mass balance assessment of the contribution of floating-leaved macrophytes in nutrient stocks in an eutrophic macrophyte-dominated lake[J]. Aquatic Botany,2003,75(3): 249-260.
[2] Wright C,Gallant A. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data[J]. Remote Sensing of Environment,2007,107(4): 582-605.
[3] Davranche A,Lefebvre G,Poulin B. Wetland monitoring using classification trees and SPOT-5 seasonal time series[J]. Remote Sensing of Environment,2010,114(3): 552-562.
[4] Laba M,Blair B,Downs R,et al. Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imagery[J]. Remote Sensing of Environment,2010,114(4): 876-886.
[5] Laba M,Downs R,Smith S,et al. Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery[J]. Remote Sensing of Environment,2008,112(1): 286-300.
[6] Zhou D M,Gong H L,Hu J M,et al. Application of satellite remote sensing technology to wetland research[J]. Remote Sensing Technology and Application,2006,21(6):577-583.
[7] Hestir E L,Khanna S,Andrew M E,et al. Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem[J]. Remote Sensing of Environment,2008,112(11): 4034-4047.
[8] Wang C,Menenti M,Stoll M P,et al. Mapping mixed vegetation communities in salt marshes using airborne spectral data[J].Remote Sensing of Environment,2007,107(4): 559-570.
[9] Lawerence R L,Wood S D,Sheley R L. Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications(randomforest)[J].Remote Sensing of Environment,2006,100(3): 356-362.
[10] Jollineau M Y,Howarth P J. Mapping an inland wetland complex using hyperspectral imagery[J]. International Journal of Remote Sensing,2008,29(12): 3609-3631.
[11] Tong Q X,Zheng L F,Wang J N,et al. Study on imaging spectrometer remote sensing information for wetland vegetation[J]. Journal of Remote Sensing,1997,1(1): 50-57.
[12] Hestir E L, Khanna S. Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem[J]. Remote Sensing of Environment,2008,112(11): 4034-4047.
[13] Jassby A D, Cloern J E. Organic matter sources and rehabilitation of the Sacramento-San Joaquin Delta(California, USA)[J]. Aquatic Conservation: Marine and Freshwater Ecosystems, 2000,10: 323-352.
[14] Maheu-Giroux M, Blois S D. Mapping the invasive species Phragmites australis in linear wetland corridors[J]. Aquatic Botany, 2005, 83: 310-320.
[15] Underwood E C, Mulitsch M J, Greenberg J A, et al. Mapping invasive aquatic vegetation in the Sacramento-San Joaquin Delta using Hyperspectral Imagery [J]. Environmental Monitoring and Assessment, 2006, 121: 47-64.
[16] Friedl M A, Brodley C E. Decision tree classification of land cover from remotely sensed data[J].Remote Sensing of Environment,1997,61(3): 399-409.
[17] Robert A. Schowengerdt. Remote Sensing: Models and Methods for Image Processing [M].NewYork:Academic Press,1997.
[18] Hansen M, Dubayah R, Defries R, Classification trees: An alternative to Traditional Land Cover Classifiers[J].Remote Sensing.1996,17(15):1075-1081.
[19] 童庆禧,张兵,郑兰芬.高光谱遥感的多学科应用[M].北京: 电子工业出版社,2006.
PDF(1704910 KB)

Accesses

Citation

Detail

Sections
Recommended
The full text is translated into English by AI, aiming to facilitate reading and comprehension. The core content is subject to the explanation in Chinese.

/