Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data

Chen, Wei; Moriya, K.; Sakai, Tetsuro; Koyama, Lina; Cao, Chunxiang

doi:10.5721/eujrs20144710

Cited by 45 publications

(27 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several studies have supported the utility of spectral indices derived from Landsat to study the post-fire regeneration dynamics of vegetation [9,27,48]. The spectral indices help identify the state of the vegetation along time series due to the enhancement in the sensitivity of the different spectral bands.…”

Section: Use Of Spectral Vegetation Index (Ndvi)mentioning

confidence: 99%

“…One of the most used indices is the Normalized Difference Vegetation Index proposed by Rouse et al [23], which is calculated by combining the near infrared (NIR) and red (R) bands. The combination of its normalized difference formulation and the use of the higher absorption and reflectance regions of chlorophyll make this index robust in different conditions [9]. In contrast to other vegetation index such as Enhanced Vegetation Index (EVI), the NDVI is easier to calculate and has been widely applied to study vegetation regeneration [14,21,[49][50][51].…”

Section: Use Of Spectral Vegetation Index (Ndvi)mentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)

2017

View full text Add to dashboard Cite

Wildfires cause disturbances in ecosystems and generate environmental, economic, and social costs. Studies focused on vegetation regeneration in burned areas acquire interest because of the need to understand the species dynamics and to apply an adequate restoration policy. In this work we intend to study the variables that condition short-term regeneration (5 years) of three species of the genus Pinus in the Mediterranean region of the Iberian Peninsula. Regeneration modelling has been performed through multiple regressions, using Ordinary Least Squares (OLS) and Geographic Weight Regression (GWR). The variables used were fire severity, measured through the Composite Burn Index (CBI), and a set of environmental variables (topography, post-fire climate, vegetation type, and state after fire). The regeneration dynamics were measured through the Normalized Difference Vegetation Index (NDVI) obtained from Landsat images. The relationship between fire severity and regeneration dynamics showed consistent results. Short-term regeneration was slowed down when severity was higher. The models generated by GWR showed better results in comparison with OLS (adjusted R 2 = 0.77 for Pinus nigra and Pinus pinaster; adjusted R 2 = 0.80 for Pinus halepensis). Further studies should focus on obtaining more precise variables and considering new factors which help to better explain post-fire vegetation recovery.

show abstract

Section: Use Of Spectral Vegetation Index (Ndvi)mentioning

confidence: 99%

Section: Use Of Spectral Vegetation Index (Ndvi)mentioning

confidence: 99%

Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)

2017

View full text Add to dashboard Cite

show abstract

“…quired over a single region have allowed for Landsat based time series analysis approaches. Since vegetation indices (or more generally spectral indices) from satellite imagery have been commonly used to monitor, analyze and map temporal and spatial dynamics of post-fire environments (Chu and Guo, 2014), spectral index time series analysis has been a multitemporal procedure particularly useful to monitor post-fire vegetation (Bastos et al, 2011;Chen et al, 2014;Dubovyk et al, 2015;Lanorte et al, 2014;Riaño et al, 2002;van Leeuwen et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

Fernández–Manso

Quintano

Roberts

2016

Remote Sensing of Environment

View full text Add to dashboard Cite

Mediterranean ecosystems are adapted to recurrent forest fires by having regeneration mechanisms that overcome the immediate effects of fire. However, the increasing frequency of fires in most European Mediterranean countries is challenging the natural regrowth capability of these ecosystems. In this context, monitoring post-fire vegetation recovery is a priority for forest management and soil erosion control. In this work, a 13-year series (1999-2011) of Landsat 5 Thematic Mapper (TM)/Landsat 7 Enhanced Thematic Mapper (ETM +) data was used to model post-fire vegetation recovery as a function of burn severity and to quantify post-fire resilience as a measure of vegetation cover regrowth. We evaluated a large forest fire located in Spain that burned approximately 30 km 2 of Pinus pinaster Ait. in August 1998. 88 field plots of four burn severity levels (unburned, low, moderate and high) were measured in the field a year after the fire. As a variable representative of vegetation, we chose the shade normalized green vegetation fraction image (SGV) obtained by applying Multiple Endmember Spectral Mixture Analysis (MESMA) to the original Landsat TM/ETM + images. The SGV values were extracted for the 88 field plots and, after performing a one-way analysis of variance (ANOVA), a Fisher's Least Significant Difference (LSD) test allowed us to estimate resilience of vegetation cover as the number of post-fire years exhibiting a statistically significant difference between burned and unburned areas. Next, SGV values were referenced to unburned control plots values and the vegetation recovery index (VRI) was defined. The evolution in time curve of VRI for low, moderate and highly fire affected vegetation was fit using trend models (specifically, an exponential trend for VRI in high and moderate burn severity levels; a linear trend for low burn severity level, Root Mean Square Error, RMSE = 0.18, 0.13, and 0.09, respectively). We observed that vegetation cover affected by low severity fire recovered to its original state after 7 years, and vegetation cover affected by moderate severity recovered after 13 years. Vegetation affected by high severity fire was estimated to recover after 20 years. We conclude that VRI time series based on multitemporal MESMA fractions from Landsat data can be considered a valuable indicator of the post-fire vegetation cover recovery. Its temporal evolution represented post-fire vegetation cover regrowth adequately and facilitated the estimate of vegetation cover resilience in Mediterranean forests.

show abstract

“…Vegetation indices have a strong relation with biomass and leaf area index, thus suitable for vegetation evaluation both prior and after fire events, whether spatially or temporally [52,154,[158][159][160][161][162][163][164][165][166]. One of the most frequently used indices is Normalized Difference Vegetation Index (NDVI) [52,[167][168][169].…”

Section: Remote Sensing Evaluation Of Pre-and Post-fire Vegetation Dymentioning

confidence: 99%

The Fire in the Mediterranean Region: A Case Study of Forest Fires in Portugal

Gonçalves¹,

Sousa²

2017

Mediterranean Identities - Environment, Society, Culture

View full text Add to dashboard Cite

Forest fires are a common disturbance in many forest systems in the world and in particular in the Mediterranean region. Their origins can be either natural or anthropogenic. The effects in regard to the time trends, vegetation, and soil will be reflected in the species distribution, forest composition, and soil potential productivity. In general, it can be said that the larger the fire and the shorter the time between two consecutive occurrences, the higher the probability to originate shifts in vegetation and soil degradation. In the Mediterranean region, the number of fire ignitions does not reflect the burnt area due to the occurrence of very large fires. The latter occur in a very small proportion of the number of ignitions, but result in very large burnt areas. Also there seems to be an increasing trend toward larger fires in the Mediterranean region due mainly to climatic and land use changes. This case study highlights the importance of vegetation regrowth a short time after the fire to maintain both forest systems and soil conservation.

show abstract

Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data

Cited by 45 publications

References 40 publications

Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)

Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

The Fire in the Mediterranean Region: A Case Study of Forest Fires in Portugal

Contact Info

Product

Resources

About