Diagnosis of vegetation recovery in mountainous regions after the wenchuan earthquake

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 7, 2014, Pages 3029-3037

  Wang, Ming ^a   Yang, Wentao ^a   Shi, Peijun ^a   Xu, Chong ^b   Liu, Lianyou ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY   (China)

Author keywords

Dynamic process; earthquake; landslides; Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI); spatial pattern; vegetation recovery

Indexed keywords

EARTHQUAKES; IMAGE RECONSTRUCTION; LANDSLIDES; RADIOMETERS; RECOVERY; SPECTROMETERS;

DYNAMIC PROCESS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIFIED MERCALLI INTENSITIES; MOUNTAINOUS REGIONS; NATURAL FLUCTUATIONS; NORMALIZED DIFFERENCE VEGETATION INDEX; SPATIAL PATTERNS; VEGETATION RECOVERY;

VEGETATION;

EID: 84906950912     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2327794     Document Type: Article

References (20)

1. A. C. Mondini et al., "Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images," Remote Sens. Environ., vol. 115, pp. 1743-1757, 2011.
2. W.-T. Lin, W.-C. Chou, and C.-Y. Lin, "Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: A case study in central Taiwan," Nat. Hazards, vol. 47, no. 3, pp. 331-347, 2008.
3. F. Mantovani, R. Soeters, and C. J. V. Westen, "Remote sensing techniques for landslide studies and hazard zonation in Europe," Geomorphology, vol. 15, no. 3-4, pp. 213-225, 1996.
4. G. Metternicht, L. Hurni, and R. Gogu, "Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments," Remote Sens. Environ., vol. 98, no. 2-3, pp. 284-303, 2005.
5. C. Xu et al., "Identification and analysis of secondary geological hazards triggered by a magnitude 8.0 Wenchuan earthquake," J. Remote Sens., vol. 13, no. 4, pp. 745-762, 2009.
6. P. Cui, Y. M. Lin, and C. Chen, "Destruction of vegetation due to geohazards and its environmental impacts in the Wenchuan earthquake areas," Ecol. Eng., vol. 44, pp. 61-69, 2012.
7. Y. Chen et al., "The application of remote sensing technology to the interpretation of land use for rainfall-induced landslides based on genetic algorithms and artificial neural networks," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 2, no. 2, pp. 87-95, Jun. 2009.
8. T. Lu et al., "Monitoring vegetation recovery after China's May 2008 Wenchuan earthquake using Landsat TM time-series data: A case study in Mao County," Ecol. Res., vol. 27, no. 5, pp. 955-966, 2012.
9. C. Y. Lin et al., "Vegetation recovery assessment at the Jou-Jou Mountain landslide area caused by the 921 Earthquake in Central Taiwan," Ecol. Model., vol. 176, pp. 75-81, 2004.
10. W. T. Lin et al., "Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan," Forest Ecol. Manage., vol. 210, pp. 55-66, 2005.
11. W. T. Lin, C. Y. Lin, and W. C. Chou, "Assessment of vegetation recovery and soil erosion at landslides caused by a catastrophic earthquake: A case study in Central Taiwan," Ecol. Eng., vol. 28, pp. 79-89, 2006.
12. C. Xu, X. Xu, X. Yao, and F. Dai, "Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis," Landslides, pp. 1-21, 2013.
13. Y. Liu, R. Liu, and Q. Ge, "Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data," Nat. Hazards, vol. 54, pp. 851-862, 2010.
14. An Image-Based Study on Typical Geological Hazards Caused by Wenchuan Earthquake, Beijing, China: Geological Publishing House, 2009.
15. Comprehensive Evaluation and Analysis of Wenchuan Earthquake Disaster, Beijing, China: Science Press, 2008, pp. 22-39.
16. Atlas of Disaster Monitoring and Assessments on Wenchuan Earthquake, Beijing, China: Science Press, 2012.
17. W. Zhang, J. Lin, J. Peng, and Q. Lu, "Estimating Wenchuan Earthquake induced landslides based on remote sensing," Int. J. Remote Sens., vol. 31, no. 13, pp. 3495-3508, 2010.
18. W. Yang, M. Wang, and P. Shi, "Using MODIS NDVI time series to identify geographic patterns of landslides in vegetated regions," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 707-710, Jul. 2013.
19. L. G. Grimm, Statistical Applications for the Behavioral Sciences. Hoboken, NJ, USA: Wiley, 1993.
20. E. Ostrom and H. Nagendra, "Insights on linking forests, trees, and people from the air, on the ground, and in the laboratory," Proc. Nat. Acad. Sci., vol. 103, no. 51, pp. 19224-19231, 2006.