Identification and characterization of deforestation hot spots in Venezuela using MODIS satellite images

Pacheco, C.; Aguado, Inmaculada; Mollicone, Danilo

doi:10.1590/s0044-59672014000200004

Cited by 22 publications

(20 citation statements)

References 16 publications

(22 reference statements)

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“…Fire is also used as a pasture management tool once the frontier advances and basic road infrastructures are developed (Armenteras et al, 2013b;Dávalos et al, 2014). In Venezuela, although not included in the study due to the poor-quality road data, detected fires most likely resulted from expansion of the agricultural frontier (Pacheco et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Changing patterns of fire occurrence in proximity to forest edges, roads and rivers between NW Amazonian countries

et al. 2017

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Abstract. Tropical forests in NW Amazonia are highly threatened by the expansion of the agricultural frontier and subsequent deforestation. Fire is used, both directly and indirectly, in Brazilian Amazonia to propagate deforestation and increase forest accessibility. Forest fragmentation, a measure of forest degradation, is also attributed to fire occurrence in the tropics. However, outside the Brazilian Legal Amazonia the role of fire in increasing accessibility and forest fragmentation is less explored. In this study, we compared fire regimes in five countries that share this tropical biome in the most north-westerly part of the Amazon Basin (Venezuela, Colombia, Ecuador, Peru and Brazil). We analysed spatial differences in the timing of peak fire activity and in relation to proximity to roads and rivers using 12 years of MODIS active fire detections. We also distinguished patterns of fire in relation to forest fragmentation by analysing fire distance to the forest edge as a measure of fragmentation for each country. We found significant hemispheric differences in peak fire occurrence with the highest number of fires in the south in 2005 vs. 2007 in the north. Despite this, both hemispheres are equally affected by fire. We also found difference in peak fire occurrence by country. Fire peaked in February in Colombia and Venezuela, whereas it peaked in September in Brazil and Peru, and finally Ecuador presented two fire peaks in January and October. We confirmed the relationship between fires and forest fragmentation for all countries and also found significant differences in the distance between the fire and the forest edge for each country. Fires were associated with roads and rivers in most countries. These results can inform land use planning at the regional, national and subnational scales to minimize the contribution of road expansion and subsequent access to the Amazonian natural resources to fire occurrence and the associated deforestation and carbon emissions.

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Section: Discussionmentioning

confidence: 99%

Changing patterns of fire occurrence in proximity to forest edges, roads and rivers between NW Amazonian countries

et al. 2017

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“…In an historical analysis, Pacheco et al [30] found an average annual rate of forest loss of 0.30%, with a net decrease of 26.4% in the national forest cover between 1920 and 2008. It is during the 1950s when deforestation spiked mostly in the Western Plains ecoregion [31][32][33][34][35], which remained as one of the national hotspots of deforestation for a long time [36]. It has been shown that by the mid twentieth century, 36% of Venezuela's forest cover was located to the north of the Orinoco River, and some estimates place this number to as low as 10% in recent decades [37].…”

Section: Introductionmentioning

confidence: 99%

Carbon Emissions from Deforestation and Degradation in a Forest Reserve in Venezuela between 1990 and 2015

Pacheco-Angulo

Torre

Aguado

et al. 2017

Forests

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This study presents for the first time in Venezuela a joint analysis of deforestation and forest degradation processes, including its effects on carbon emissions. The Caparo Forest Reserve, located in the Western Plains ecoregion, in one of the national hot spots of deforestation, served as a case study using three different periods: 1990-2000, 2000-2010 and 2010-2015. In the context of the United Nations Framework Convention on Climate Change (UNFCCC) framework, the Practice Guidance for Land Use, Land-Use Change and Forestry from the Intergovernmental Panel on Climate Change (IPCC) was followed. These guidelines combine the activity data for the estimation of deforestation and degradation rates, in this case using open access Landsat imagery in conjunction with the TerraAmazon system with the emission factors, and these based on aboveground biomass (AGB) estimations using field data from permanent plots monitored during the study period. Deforestation was responsible of a net loss of −53,461 ha, while close to −3667 ha were classified as degraded forests during the 1990-2000 decade (−4.9% annual deforestation rate). An estimated area of −36,447 ha and −515 ha between 2000 and 2010 was affected by both processes (−4.3% annual forest loss), and −8111 ha and −737 ha between 2010 and 2015 (−3.2% per year). These processes were responsible for an estimated equivalent in carbon emissions of 2.21 ± 0.32 (SEM-Standard Error of the Mean) Mt CO 2 year −1 (1990-2000), 1.56 ± 0.19 Mt CO 2 per year between 2000 and 2010, while 0.80 ± 0.11 Mt CO 2 year −1 during the 2010-2015 period. Between 92.9% and 98.63% (mean 94.9%) of these emissions came from deforestation, and between 1.37% and 7.79% (mean 5.1%) from forest degradation. Using available data, at national scale, deforestation and forest degradation in Caparo represented, on average, 0.49% of the total CO 2 emissions and about 1.79% of land use change related emissions for the same period in Venezuela. Finally, we briefly outline a set of elements so these results can serve as a baseline for the potential establishment of a Reducing Emissions from Deforestation and Forest Degradation (REDD+) strategy in the area.

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“…Utilization of remote sensing data has been done to monitor hotspot, as an indication of the forest fire occurrence, by utilizing the thermal bands of NOAA AVHRR and MODIS Terra/Aqua (Pacheco, 2014;Handayani, 2014). The hotspot monitoring method based on low resolution satellite data has been widely used for operational system to identify and monitor the number and distribution of forest and land fires in various regions, including Indonesia area.…”

Section: Introductionmentioning

confidence: 99%

Technique for Identifying Burned Vegetation Area Using Landsat 8 Data

Trisakti¹,

Nugroho²,

Zubaidah³

2017

IJReSES

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Abstract. During the last two decades, forest and land fire is a catastrophic event that happens almost every year in Indonesia. Therefore, it is necessary to develop a technic to monitor forest fires using satellite data to obtain the latest information of burned area in a large scale area. The objective of this research is to develop a method for burned area mapping that happened between two Landsat 8 data recording on August 13 rd and September 14 th 2015. Burned area was defined as a burned area of vegetation. The hotspot distribution during the period August -September 2015 was used to help visual identification of burned area on the Landsat image and to verify the burned area resulted from this research. Samples were taken at several land covers to determine the spectral pattern differences among burned area, bare area and other land covers, and then the analysis was performed to determine the suitable spectral bands or indices and threshold values that will be used in the model.Landsat recorded on August 13 rd before the fire was extracted for soil, while Landsat recorded on September 14 th after the fire was extracted for burned area. Multi-temporal analysis was done to get the burned area occurring during the certain period. The results showed that the clouds could be separated using combination of ocean blue and cirrus bands, the burned area was extracted using a combination of NIR and SWIR band, while soil was extracted using ratio SWIR / NIR. Burned area obtained in this study had high correlation with the hotspot density of MODIS with the accuracy was around 82,4 %.

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Identification and characterization of deforestation hot spots in Venezuela using MODIS satellite images

Cited by 22 publications

References 16 publications

Changing patterns of fire occurrence in proximity to forest edges, roads and rivers between NW Amazonian countries

Changing patterns of fire occurrence in proximity to forest edges, roads and rivers between NW Amazonian countries

Carbon Emissions from Deforestation and Degradation in a Forest Reserve in Venezuela between 1990 and 2015

Technique for Identifying Burned Vegetation Area Using Landsat 8 Data

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