Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data

Liu, Yang; Liu, Ronggao; Ge, Quansheng

doi:10.1007/s11069-010-9511-z

Cited by 49 publications

(36 citation statements)

References 14 publications

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“…According to our study, herb areas such as meadows indicated the best vegetation recovery and they recovered better than woody plants. This confirms Liu's conclusions [19]. After Wenchuan earthquake, there has been sufficient precipitation for undersized vegetation (such as shrubs and herbs) under damaged trees which then became healthier [19].…”

Section: Discussionsupporting

confidence: 77%

“…Relative variables are often used to detect vegetation change and express vegetation information in remote sensing analysis and are categorized as the Normalized Differential Vegetation Index (NDVI) [15,16,18], Fractional Vegetation Coverage (FVC) [17], vegetation cover index [14,18], Gross Primary Productivity (GPP) [19], etc. There are two types of methods for extracting vegetation damage: one is to use a change detection threshold [15,16], and the other is to employ image classification [18,20].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data

et al. 2015

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Abstract:The catastrophic 8.0 Richter magnitude earthquake that occurred on 12 May 2008 in Wenchuan, China caused extensive damage to vegetation due to widespread landslides and debris flows. In the past five years, the Chinese government has implemented a series of measures to restore the vegetation in the severely afflicted area. How is the vegetation recovering? It is necessary and important to evaluate the vegetation recovery effect in earthquake-stricken areas. Based on MODIS NDVI data from 2005 to 2013, the vegetation damage area was extracted by the quantified threshold detection method. The vegetation recovery rate after five years following the earthquake was evaluated with respect to counties, altitude, fault zones, earthquake intensity, soil texture and vegetation types, and assessed over time. We have proposed a new method to obtain the threshold with vegetation damage quantitatively, and have concluded that: (1) The threshold with vegetation damage was 13.47%, and 62.09% of the field points were located in the extracted damaged area; (2) The total vegetation damage area was 475,688 ha, which accounts for 14.34% of the study area and was primarily distributed in the central fault zone, the southwest mountainous areas and along rivers in the Midwest region of the study area; (3) Vegetation recovery in the OPEN ACCESS Remote Sens. 2015, 7 8758 damaged area was better in the northeast regions of the study area, and in the western portion of the Wenchuan-Maoxian fracture; vegetation recovery was better with increasing altitude; there is no obvious relationship between clay content in the topsoil and vegetation recovery; (4) Meadows recovered best and the worst recovery was in mixed coniferous broad-leaved forest; (5) 81,338 ha of vegetation in the damage area is currently undergoing degradation and the main vegetation types in the degradation area are coniferous forest (31.39%) and scrub (34.17%); (6) From 2009 to 2013, 41% has been restored to the level before the earthquake, 9% has not returned but 50% will continue to recover. The Chinese government usually requires five years as a period for post-disaster reconstruction. This paper could be regarded as a guidance for Chinese government departments, whereby additional investment is encouraged for vegetation recovery.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data

et al. 2015

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“…Increasingly, scientists are recognizing that natural disturbances, such as hurricanes, mudslides and floods, play an important role in the distribution of tropical vegetation, and that many assumptions concerning the relative importance of natural disasters warrant re-examination [18][19][20][21]. Vegetation indices (VI) derived from satellite images have long been used in remote sensing for monitoring vegetation changes and other related changes in land use.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Hurricane Maria on the Vegetation of Dominica and Puerto Rico Using Multispectral Remote Sensing

Smith

2018

Remote Sensing

101

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Abstract:As the worst natural disaster on record in Dominica and Puerto Rico, Hurricane Maria in September 2017 had a large impact on the vegetation of these islands. In this paper, multitemporal Landsat 8 OLI and Sentinel-2 data are used to investigate vegetation damage on Dominica and Puerto Rico by Hurricane Maria, and related influencing factors are analyzed. Moreover, the changes in the normalized difference vegetation index (NDVI) in the year 2017 are compared to reference years (2015 and 2016). The results show that (1) there is a sudden drop in NDVI values after Hurricane Maria's landfall (decreased about 0.2) which returns to near normal vegetation after 1.5 months; (2) different land cover types have different sensitivities to Hurricane Maria, whereby forest is the most sensitive type, then followed by wetland, built-up, and natural grassland; and (3) for Puerto Rico, the vegetation damage is highly correlated with distance from the storm center and elevation. For Dominica, where the whole island is within Hurricane Maria's radius of maximum wind, the vegetation damage has no obvious relationship to elevation or distance. The study provides insight into the sensitivity and recovery of vegetation after a major land-falling hurricane, and may lead to improved vegetation protection strategies.

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“…Only a few studies have reported vegetation recovery after the earthquake. Liu et al monitored the early vegetation recovery within two months of the earthquake using MODIS GPP time-series products [12]. Lu et al (2012) used a time series of Landsat TM imagery to quantitatively assess the vegetation damage and monitor the vegetation recovery process after the earthquake and its associated secondary disasters [13].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Earthquake-Damaged Vegetation after the 2008 Wenchuan Earthquake in the Mountainous River Basins, Dujiangyan County

et al. 2015

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Abstract:The 2008 Wenchuan earthquake destroyed large areas of vegetation in the Baisha River and Longxi River basins, in Dujiangyan County, China. There were several debris flow events in these mountainous river basins after 2008. Currently, these damaged vegetation areas are in various stages of recovery. This recovery vegetation improves the resistance of slopes to both surficial erosion and mass wasting. We introduce a probabilistic approach to determining the relationships between damaged vegetation and slope materials' stability, and model the sediment and flow (hydrological) connectivity index to detect the hydrological changes in a given river basin, using the multi-temporal remote-sensing images to monitor the vegetation recovery processes. Our results demonstrated that the earthquake-damaged vegetation areas have coupling relationships with topographic environment and slope material properties, and can be used to assess the slope material stability. Further, our analysis results showed that the areas with horizontal distance to river OPEN ACCESSRemote Sens. 2015, 7 6809 streams <500 m are areas that actively contribute sediment to the stream channel network, and are main material sources for debris flow processes in one given mountainous basin.

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Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data

Cited by 49 publications

References 14 publications

Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data

Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data

The Impact of Hurricane Maria on the Vegetation of Dominica and Puerto Rico Using Multispectral Remote Sensing

Monitoring Earthquake-Damaged Vegetation after the 2008 Wenchuan Earthquake in the Mountainous River Basins, Dujiangyan County

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