{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T04:50:27Z","timestamp":1781326227888,"version":"3.54.1"},"reference-count":31,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2015,7,13]],"date-time":"2015-07-13T00:00:00Z","timestamp":1436745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 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.<\/jats:p>","DOI":"10.3390\/rs70708757","type":"journal-article","created":{"date-parts":[[2015,7,13]],"date-time":"2015-07-13T10:38:10Z","timestamp":1436783890000},"page":"8757-8778","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1352-1046","authenticated-orcid":false,"given":"Wei-Guo","family":"Jiang","sequence":"first","affiliation":[{"name":"Academy of Disaster Reduction and Emergency Management, Beijing Normal University,  Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Jia","sequence":"additional","affiliation":[{"name":"Academy of Disaster Reduction and Emergency Management, Beijing Normal University,  Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian-Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"Academy of Disaster Reduction and Emergency Management, Beijing Normal University,  Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng-Hong","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Architecture, University of Nebraska-Lincoln, NE 68588, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen-Jie","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Research Academy of Environmental Sciences, MEP, Beijing 100012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5218-8242","authenticated-orcid":false,"given":"Xiao-Fu","family":"Liu","sequence":"additional","affiliation":[{"name":"Chinese Research Academy of Environmental Sciences, MEP, Beijing 100012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,7,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.rse.2012.02.022","article-title":"Near real-time disturbance detection using satellite image time series","volume":"123","author":"Verbesselt","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1890\/10-0097.1","article-title":"Disturbance and landscape dynamics in a changing world","volume":"91","author":"Monica","year":"2010","journal-title":"Ecology"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.rse.2013.12.020","article-title":"Landsat remote sensing of forest windfall disturbance","volume":"143","author":"Baumann","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/PL00006931","article-title":"The role of human disturbance in Late Holocene vegetation changes on Kullaberg, southern Sweden","volume":"10","author":"Bjorkman","year":"2001","journal-title":"Veg. Hist. Archaeobot."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.foreco.2013.10.039","article-title":"Forest recovery patterns in response to divergent disturbance regimes in the Border Lakes region of Minnesota (USA) and Ontario (Canada)","volume":"313","author":"Sturtevant","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1023\/A:1025800226867","article-title":"Natural occurrence and backwater infection of C4 plants in the vegetation of the Yangtze hydropower Three Gorges Project region","volume":"41","author":"Wang","year":"2003","journal-title":"Photosynthetica"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s11769-013-0645-2","article-title":"Assessment of human impacts on vegetation in built-up areas in China based on AVHRR, MODIS and DMSP_OLS nighttime light data, 1992\u20122010","volume":"24","author":"Liu","year":"2014","journal-title":"Chin. Geogr. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2911","DOI":"10.1016\/j.rse.2010.07.010","article-title":"Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync\u2014Tools for calibration and validation","volume":"114","author":"Cohen","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1007\/s11442-014-1131-1","article-title":"Inter-annual variations in vegetation and their response to climatic factors in the upper catchments of the Yellow River from 2000 to 2010","volume":"24","author":"Cao","year":"2014","journal-title":"J. Geogr. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.rse.2006.08.006","article-title":"Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing","volume":"106","author":"Kokaly","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2014.02.009","article-title":"Floodplain inundation and vegetation dynamics in the Alligator Rivers region (Kakadu) of northern Australia assessed using optical and radar remote sensing","volume":"147","author":"Ward","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.foreco.2013.11.023","article-title":"Recovery rate of vegetation in the tsunami impacted littoral forest of Nicobar Islands, India","volume":"313","author":"Prabakaran","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.foreco.2014.01.029","article-title":"Natural recovery and restoration in giant panda habitat after the Wenchuan earthquake","volume":"319","author":"Zhang","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.ecolmodel.2003.12.037","article-title":"Vegetation recovery assessment at the Jou-Jou Mountain landslide area caused by the 921 Earthquake in Central Taiwan","volume":"176","author":"Lin","year":"2004","journal-title":"Ecol. Model."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.foreco.2005.02.026","article-title":"Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan","volume":"210","author":"Lin","year":"2005","journal-title":"For. Ecol. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1007\/s11284-012-0976-y","article-title":"Monitoring vegetation recovery after China\u2019s May 2008 Wenchuan earthquake using Landsat TM time-series data: A case study in Mao County","volume":"27","author":"Lu","year":"2012","journal-title":"Ecol. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1007\/s11069-013-0875-8","article-title":"Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data","volume":"70","author":"JIAO","year":"2014","journal-title":"Nat. Hazards"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10661-008-0312-8","article-title":"Vegetation recovery patterns assessment at landslides caused by catastrophic earthquake: A case study in central Taiwan","volume":"152","author":"Chou","year":"2009","journal-title":"Environ. Monit. Assess."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1007\/s11069-010-9511-z","article-title":"Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data","volume":"54","author":"Liu","year":"2010","journal-title":"Nat. Hazards"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s11069-008-9222-x","article-title":"Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: A case study in central Taiwan","volume":"47","author":"Lin","year":"2008","journal-title":"Nat. Hazards"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s11069-009-9421-0","article-title":"Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan","volume":"53","author":"Lin","year":"2010","journal-title":"Nat. Hazards"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.ecoleng.2006.04.005","article-title":"Assessment of vegetation recovery and soil erosion at landslides caused by a catastrophic earthquake: A case study in Central Taiwan","volume":"28","author":"Lin","year":"2006","journal-title":"Ecol. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ecoleng.2012.03.012","article-title":"Destruction of vegetation due to geo-hazards and its environmental impacts in the Wenchuan earthquake areas","volume":"44","author":"Cui","year":"2012","journal-title":"Ecol. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Xing, H.L., and Xu, X.W. (2011). M8.0 Wenchuan Earthquake, Springer-Verlag.","DOI":"10.1007\/978-3-642-01901-2"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s11069-009-9392-1","article-title":"The wenchuan earthquake (May 12, 2008), Sichuan province, China, and resulting geohazards","volume":"56","author":"Cui","year":"2011","journal-title":"Nat. Hazards"},{"key":"ref_26","unstructured":"Vegetation indices 16-Day L3 global 250m, Available online: https:\/\/lpdaac.usgs.gov\/products\/modis_products_table\/mod13q1."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1080\/01431168608948945","article-title":"Characteristics of maximum-value composite images from temporal AVHRR data","volume":"7","author":"Holben","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","unstructured":"SRTM data processing methodology. Available online: http:\/\/srtm.csi.cgiar.org\/SRTMdataProcessingMethodology.asp."},{"key":"ref_29","unstructured":"Wenchuan 8.0 earthquake intensity distribution, Available online: http:\/www.cea.gov.cn\/manage\/html\/8a8587881632fa5c0116674a018300cf\/_content\/08_08\/29\/1219980517676.html."},{"key":"ref_30","unstructured":"Zhang, X. (2007). Vegetation of China and Its Geographic Pattern\u2014Illustration of the Vegetation Map of the People\u2019s Republic of China (1:1000000), Geological Publishing House."},{"key":"ref_31","first-page":"13","article-title":"Advances in researches on application of remote sensing method to estimating vegetation coverage","volume":"1","author":"Cheng","year":"2008","journal-title":"Remote Sens. Land Resour."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/7\/8757\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:49:04Z","timestamp":1760215744000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/7\/8757"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,13]]},"references-count":31,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2015,7]]}},"alternative-id":["rs70708757"],"URL":"https:\/\/doi.org\/10.3390\/rs70708757","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,13]]}}}