Detecção de cicatrizes de áreas queimadas baseada no modelo linear de mistura espectral e imagens índice de vegetação utilizando dados multitemporais do sensor MODIS/TERRA no estado do Mato Grosso, Amazônia brasileira

Anderson, Liana O.; Aragão, Luiz Eduardo Oliveira e Cruz de; Lima, André; Shimabukuro, Yosio Edemir

doi:10.1590/s0044-59672005000400009

Cited by 27 publications

(26 citation statements)

References 27 publications

(19 reference statements)

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“…To locate burned sites within the LiDAR overpass region and perform subsequent analyses, we mapped burn scars for the years of 2005 and 2010 using images from TM (Thematic Mapper) sensor onboard Landsat-5 satellite and ETM+ (Enhanced Thematic Mapper Plus) sensor onboard Landsat-7 satellite, covering the period from June to November (when most active fire detections occurs, [12,31]) of these two years. To support identification of burn scars, we used surface reflectance images for the years of 2005 and 2010 from a Moderate Resolution Imaging Spectroradiometer (MODIS) sensor with 250 m resolution (Product MOD09).…”

Section: Burned Area Mappingmentioning

confidence: 99%

Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia

Sato

Gomes²,

Shimabukuro

et al. 2016

Remote Sensing

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Abstract:Fire is one of the main factors directly impacting Amazonian forest biomass and dynamics. Because of Amazonia's large geographical extent, remote sensing techniques are required for comprehensively assessing forest fire impacts at the landscape level. In this context, Light Detection and Ranging (LiDAR) stands out as a technology capable of retrieving direct measurements of vegetation vertical arrangement, which can be directly associated with aboveground biomass. This work aims, for the first time, to quantify post-fire changes in forest canopy height and biomass using airborne LiDAR in western Amazonia. For this, the present study evaluated four areas located in the state of Acre, called Rio Branco, Humaitá, Bonal and Talismã. Rio Branco and Humaitá burned in 2005 and Bonal and Talismã burned in 2010. In these areas, we inventoried a total of 25 plots (0.25 ha each) in 2014. Humaitá and Talismã are located in an open forest with bamboo and Bonal and Rio Branco are located in a dense forest. Our results showed that even ten years after the fire event, there was no complete recovery of the height and biomass of the burned areas (p < 0.05). The percentage difference in height between control and burned sites was 2.23% for Rio Branco, 9.26% for Humaitá, 10.03% for Talismã and 20.25% for Bonal. All burned sites had significantly lower biomass values than control sites. In Rio Branco (ten years after fire), Humaitá (nine years after fire), Bonal (four years after fire) and Talismã (five years after fire) biomass was 6.71%, 13.66%, 17.89% and 22.69% lower than control sites, respectively. The total amount of biomass lost for the studied sites was 16,706.3 Mg, with an average loss of 4176.6 Mg for sites burned in 2005 and 2890 Mg for sites burned in 2010, with an average loss of 3615 Mg. Fire impact associated with tree mortality was clearly detected using LiDAR data up to ten years after the fire event. This study indicates that fire disturbance in the Amazon region can cause persistent above-ground biomass loss and subsequent reduction of forest carbon stocks. Continuous monitoring of burned forests is required for depicting the long-term recovery trajectory of fire-affected Amazonian forests.

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Section: Burned Area Mappingmentioning

confidence: 99%

Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia

Sato

Gomes²,

Shimabukuro

et al. 2016

Remote Sensing

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“…The minimum detected burned area is assumed to be approximately 25 ha (4 pixels of 250 m × 250 m). The burned area maps were generated following the methods developed by Anderson et al [2005], Shimabukuro et al [2009], and Lima et al [2012].…”

Section: Burn Scar Mappingmentioning

confidence: 99%

Disentangling the contribution of multiple land covers to fire‐mediated carbon emissions in Amazonia during the 2010 drought

Anderson

Aragão

Gloor

et al. 2015

Global Biogeochemical Cycles

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In less than 15 years, the Amazon region experienced three major droughts. Links between droughts and fires have been demonstrated for the 1997/1998, 2005, and 2010 droughts. In 2010, emissions of 510 ± 120 Tg C were associated to fire alone in Amazonia. Existing approaches have, however, not yet disentangled the proportional contribution of multiple land cover sources to this total. We develop a novel integration of multisensor and multitemporal satellite-derived data on land cover, active fires, and burned area and an empirical model of fire-induced biomass loss to quantify the extent of burned areas and resulting biomass loss for multiple land covers in Mato Grosso (MT) state, southern Amazonia-the 2010 drought most impacted region. We show that 10.77% (96,855 km 2 ) of MT burned. We estimated a gross carbon emission of 56.21 ± 22.5 Tg C from direct combustion of biomass, with an additional 29.4 ± 10 Tg C committed to be emitted in the following years due to dead wood decay. It is estimated that old-growth forest fires in the whole Brazilian Legal Amazon (BLA) have contributed to 14.81 Tg of C (11.75 Tg C to 17.87 Tg C) emissions to the atmosphere during the 2010 fire season, with an affected area of 27,555 km 2 . Total C loss from the 2010 fires in MT state and old-growth forest fires in the BLA represent, respectively, 77% (47% to 107%) and 86% (68.2% to 103%) of Brazil's National Plan on Climate Change annual target for Amazonia C emission reductions from deforestation.

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“…The reflectance mixture within a single pixel of a Landsat-5-Thematic Mapper (TM) image is common in heterogeneous environments and occurs due to the limitations in spatial resolution, the complexity of vegetation structure, and the high abundance of plant species, which make it difficult to classify these environments using traditional methods, both in savanna areas and in the Amazon forest (Lu et al 2003;Ferreira et al 2007). The use of spectral linear mixture models (SLMM) captures this sub-pixel variation, and seems promising when used for vegetation classification and biomass estimation, for detecting changes in land use and land cover, and for the mapping and monitoring of burned, deforested, and mined areas in the Amazon (Lu et al 2003;Anderson et al 2005;Shimabukuro et al 2010). SLMM applications have demonstrated high performance in determining areas of Amazonian savannas in the forest-savanna boundary regions in the State of Roraima and in other areas of Cerrado (Brazilian savanna type) in central Brazil, although it is still difficult for the model to classify the specific sub-classes of this vegetation (Ferreira et al 2007).…”

Section: Introductionmentioning

confidence: 99%

The influence of the conservation status and changes in the rainfall regime on forest-savanna mosaic dynamics in Northern Brazilian Amazonia

2014

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Coupled carbon/climate models are predicting changes in Amazon carbon and water cycles for the near future, with conversion of forest into savanna-like vegetation. However, empirical data to support these models are still scarce for Amazon. Facing this scenario, we investigated whether conservation status and changes in rainfall regime have influenced the forest-savanna mosaic over 20 years, from 1986 to 2006, in a transitional area in Northern Amazonia. By applying a spectral linear mixture model to a Landsat-5-TM time series, we identified protected savanna enclaves within a strictly protected nature reserve (Maracá Ecological Station -MES) and non-protected forest islands at its outskirts and compared their areas among 1986/1994/2006. The protected savanna enclaves decreased 26% in the 20-years period at an average rate of 0.131 ha year -1 , with a greater reduction rate observed during times of higher precipitation, whereas the non-protected forest islands remained stable throughout the period of study, balancing the encroachment of forests into the savanna during humid periods and savannization during reduced rainfall periods. Thus, keeping favorable climate conditions, the MES conservation status would continue to favor the forest encroachment upon savanna, while the non-protected outskirt areas would remain resilient to disturbance regimes. However, if the increases in the frequency of dry periods predicted by climate models for this region are confirmed, future changes in extension and directions of forest limits will be affected, disrupting ecological services as carbon storage and the maintenance of local biodiversity. KEYWORDS: Spectral linear mixture model, ecotone, savannization, climate change, protected areas. Influência do status de conservação e da variação da precipitação na dinâmica de mosaicos floresta-savana ao norte da Amazônia Brasileira RESUMOModelos acoplados carbono/clima prenunciam mudanças nos ciclos do carbono e da água em um futuro próximo, substituindo gradualmente florestas tropicais por savanas. No entanto, dados empíricos que dão suporte a estes modelos ainda são escassos para a Amazônia. Diante deste cenário, investigamos se o status de conservação e as variações de precipitação influenciaram as mudanças ocorridas em 20 anos nos mosaicos floresta-savana, em uma área de transição ao norte da Amazônia. Utilizando imagens-fração do modelo de mistura aplicado à série temporal Landsat-5TM, enclaves de savana protegidos da Estação Ecológica de Maracá e ilhas de mata não protegidas do seu entorno foram identificados e suas áreas comparadas entre os anos 1986, 1994 e 2006. Os enclaves protegidos contraíram 26% em 20 anos a uma taxa média de 0,131 ha ano -1 , com maiores taxas de retração em períodos de maior precipitação. As ilhas de mata não protegidas permaneceram estáveis no período total amostrado, porém com avanço de florestas sobre savanas em períodos mais úmidos e savanização em períodos mais secos. Mantendo-se as condições climáticas favoráveis, o status de conservação ...

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Detecção de cicatrizes de áreas queimadas baseada no modelo linear de mistura espectral e imagens índice de vegetação utilizando dados multitemporais do sensor MODIS/TERRA no estado do Mato Grosso, Amazônia brasileira

Cited by 27 publications

References 27 publications

Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia

Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia

Disentangling the contribution of multiple land covers to fire‐mediated carbon emissions in Amazonia during the 2010 drought

The influence of the conservation status and changes in the rainfall regime on forest-savanna mosaic dynamics in Northern Brazilian Amazonia

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