Measurement of severity of fires and loss of carbon forest sink in the conservation units at Distrito Federal

Teobaldo, Débora; Baptista, Gustavo Macêdo de Mello

doi:10.5935/1984-2295.20160017

Cited by 4 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is important to take into consideration that the historical information on fire severity and regrowth, obtained from the Landsat images, can provide valuable data for an effective management of natural resources. Studies should be encouraged to map the recurrence of fires in the area and to understand the landscape patterns created by the fire, as well as the monitoring of the regrowth of the affected areas and their relationship with severity [22]. This information will be highly valuable for forest managers to understand the consequences of even more acute fire regimes as observed for the area studied in 2008 and 2012 [3], as it will help in the implementation of effective restoration and environmental education actions [35].…”

Section: Discussionmentioning

confidence: 99%

“…Using the bitemporal difference of the preprocessed NBR images we calculated the dNBR (see Equation (3)) [10,23]. Teobaldo and Baptista [22] noted that the dNBR enhances the changes between the NBR scenes, highlighting the presence of fires; thus, an attempt was made to study the regrowth capacity based on this very index, that is, subtracting the postfire images from other subsequent dates called regrowth (see Equation (4)).…”

Section: Spectral Indicesmentioning

confidence: 99%

“…The absolute variation index is converted into a percentage, and the resulting relative variation index changes linearly with the variable of interest, which in our case is severity [24]. To this end, this study also uses the RdNBR (see Equation (5)) to evaluate regrowth, considering that Teobaldo and Baptista [22] suggest changing the RdNBR, as proposed by Miller and Thode [24], to verify the efficiency of the regrowth of vegetation in burnt areas in such a way as to relativize and quantify the regrowth in the affected areas. The RdNBR regrowth is presented in Equation (6).…”

Section: Spectral Indicesmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices

et al. 2020

View full text Add to dashboard Cite

Fire scar detection through orbital data can be done using specific techniques, such as the use of spectral indices like the normalized burn ratio (NBR), which are designed to help identify burnt areas as they have typical spectral responses. This paper aims to characterize burn severity and regrowth in areas hit by three fires in the Chapada Diamantina National Park (Bahia, Brazil) and its surrounding area through the differenced normalized burn ratio (dNBR) and relative differenced normalized burn ratio (RdNBR) spectral indices. The data acquired were pretreated and prepared adequately to calculate the indices. We conclude that for the study area, considering the limitations of fieldwork, the multitemporal index dNBR and the relative index RdNBR are important tools for classifying burnt areas and can be used to assess the regrowth of vegetation.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Spectral Indicesmentioning

confidence: 99%

Section: Spectral Indicesmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Using NBR as defined in Equation ( 1), we calculated the dNBR as illustrated in Equation (2). The dNBR has become a standard fire severity measurement [60] as it is a criterion to understand burned severity levels [66]. The dNBR ranges from -2 to +2 with high positive values representing severely burned areas.…”

Section: Burned Severity and Quantification Of Burn Area For Each Land Use/cover Classmentioning

confidence: 99%

“…Additionally, previous studies have used the NBR variants, of which the differenced normalized burn ratio (dNBR) is commonly applied [65]. The dNBR is a bi-temporal image differencing performed on preand post-fire NBR images [64,66], to distinguish burn severity levels [65]. The fire categorybased dNBR has become a practical reference to obtain burn severity information [67,68].…”

Section: Introductionmentioning

confidence: 99%

Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform

Xulu

Mbatha

Peerbhay

2021

IJGI

View full text Add to dashboard Cite

Planted forests in South Africa have been affected by an increasing number of economically damaging fires over the past four decades. They constitute a major threat to the forestry industry and account for over 80% of the country’s commercial timber losses. Forest fires are more frequent and severe during the drier drought conditions that are typical in South Africa. For proper forest management, accurate detection and mapping of burned areas are required, yet the exercise is difficult to perform in the field because of time and expense. Now that ready-to-use satellite data are freely accessible in the cloud-based Google Earth Engine (GEE), in this study, we exploit the Sentinel-2-derived differenced normalized burned ratio (dNBR) to characterize burn severity areas, and also track carbon monoxide (CO) plumes using Sentinel-5 following a wildfire that broke over the southeastern coast of the Western Cape province in late October 2018. The results showed that 37.4% of the area was severely burned, and much of it occurred in forested land in the studied area. This was followed by 24.7% of the area that was burned at a moderate-high level. About 15.9% had moderate-low burned severity, whereas 21.9% was slightly burned. Random forests classifier was adopted to separate burned class from unburned and achieved an overall accuracy of over 97%. The most important variables in the classification included texture, NBR, and the NIR bands. The CO signal sharply increased during fire outbreaks and marked the intensity of black carbon over the affected area. Our study contributes to the understanding of forest fire in the dynamics over the Southern Cape forestry landscape. Furthermore, it also demonstrates the usefulness of Sentinel-5 for monitoring CO. Taken together, the Sentinel satellites and GEE offer an effective tool for mapping fires, even in data-poor countries.

show abstract

Análise multivariada de dados orbitais ópticos multiespectrais e de levantamento aerofotogramétrico de baixas altitudes na perícia de local relacionado com incidência de fogo em atividade canavieira

Costa,

Alberguine,

Santos

2023

Rev. Bras. Crimin.

View full text Add to dashboard Cite

As condições de manejo da atividade canavieira redundam no aumento dos riscos à ocorrência de fogo. Os impactos ambientais e sociais conduziram à implementação de instrumentos jurídicos voltados à eliminação gradativa da queima da palhada da cana-de-açúcar. A incidência de fogo na canavicultura pode ensejar a responsabilização penal pela adequação típica da conduta de terceiros ao crime de incêndio previsto no artigo 250 do Código Penal ou, ainda, por falsidade ideológica (artigo 299 do Código Penal) na hipótese de o produtor registrar ocorrência criminal como forma de se eximir de sanções administrativas. Dada à relevância no contexto da atividade pericial criminal, faz-se necessário o aperfeiçoamento de metodologias aptas a fornecer subsídios à instrução probatória. Neste trabalho, utilizou a Análise de Componentes Principais, para avaliar dados multiespectrais provenientes de sensores orbitais ópticos, bem como obtidos de levantamento aerofotogramétrico realizado por aeronave remotamente pilotada. Os índices espectrais de vegetação (NDVI), de umidade (NDII), de senescência (PSRI) e declividade foram avaliados em 7 (sete) talhões (A-F) de cultura canavieira. Elaborou-se uma matriz com 884 linhas (pontos amostrais correspondentes a pixels das imagens) e 4 colunas (variáveis de resposta), sendo os dados autoescalados. Os resultados da PCA revelaram que duas componentes principais representam 97% da variância dos dados originais. Apesar da inexistência de divergências significativas nos valores de NDVI, NDII e PSRI entre os talhões, houve clara diferenciação na variável declividade do terreno quando comparada o talhão A em relação aos demais talhões, o que fragiliza a hipótese de incidência acidental do fogo.

show abstract

Measurement of severity of fires and loss of carbon forest sink in the conservation units at Distrito Federal

Abstract: Quantificação da severidade das queimadas e da perda de sequestro florestal de carbono em unidades de conservação do Distrito Federal¹

Cited by 4 publications

References 0 publications

Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices

Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices

Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform

Análise multivariada de dados orbitais ópticos multiespectrais e de levantamento aerofotogramétrico de baixas altitudes na perícia de local relacionado com incidência de fogo em atividade canavieira

Contact Info

Product

Resources

About