Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models

Souza, Camilla Mariane Menezes; Firestone, Laurel; Silva, Luciano Moreira; Roberts, Dar A.

doi:10.1016/j.rse.2002.08.002

Cited by 212 publications

(120 citation statements)

References 24 publications

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“…The next three most significant factors, including the fractional cover of nonwoody plants and bare substrate as well as relative elevation above nearest water body, accounted for an additional 32% of the ACD variation throughout the country. Within forest ecosystems, nonwoody canopy and bare substrate cover are well-known metrics of deforestation and degradation via logging and fire that removes woody plants (16)(17)(18)(19)(20)(21)(22). Relative elevation above the nearest water is highly indicative of a water deficit in deserts and grasslands or of a water surplus (which can cause anoxia) in rainforests, both of which reduce vegetation carbon storage.…”

Section: Resultsmentioning

confidence: 99%

Targeted carbon conservation at national scales with high-resolution monitoring

Asner

Knapp

Martin

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

132

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Terrestrial carbon conservation can provide critical environmental, social, and climate benefits. Yet, the geographically complex mosaic of threats to, and opportunities for, conserving carbon in landscapes remain largely unresolved at national scales. Using a new high-resolution carbon mapping approach applied to Perú, a megadiverse country undergoing rapid land use change, we found that at least 0.8 Pg of aboveground carbon stocks are at imminent risk of emission from land use activities. Map-based information on the natural controls over carbon density, as well as current ecosystem threats and protections, revealed three biogeographically explicit strategies that fully offset forthcoming land-use emissions. High-resolution carbon mapping affords targeted interventions to reduce greenhouse gas emissions in rapidly developing tropical nations.carbon sequestration | forest degradation | deforestation | light detection and ranging | REDD+

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Section: Resultsmentioning

confidence: 99%

Targeted carbon conservation at national scales with high-resolution monitoring

Asner

Knapp

Martin

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

132

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“…In terms of post-fire impacts, SMA has been used to analyze post-fire vegetation recovery in several studies (rather fewer than vegetation indices). Notable examples include papers by Riaño et al (2002); Röder et al (2008); Sankey et al (2008); Smith et al (2007); Souza et al (2003); Twele (2004), Vereverbeke et al (2012b) and Vila and Barbosa (2010). Multiple Endmember Spectral Mixture Analysis (MESMA), a modification of SMA, enables the use of multiple endmembers within a scene, making it possible to test different combinations of endmembers for each pixel in the image (Roberts et al, 1998).…”

Section: U N C O R R E C T E D P R O O Fmentioning

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

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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.

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“…Multi-year assessments using a time series of satellite imagery have been suggested as an adequate means of tracking complex land-cover dynamics that include clearing and regrowth. Such assessments increase the possibility of detecting small-scale intervention (Stone & Lefebvre, 1998;Asner et al, 2005;Broadbent et al, 2006;Matricardi et al, 2007), and by using sub-pixel information (Souza et al, 2003;Brandt & Townsend, 2006;Matricardi et al, 2010). Compelling research on selective logging has made use of methodologies that allow the extent of these activities to be quantified (Asner et al, 2004b;Souza et al, 2005a;Asner et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Traditional shifting agriculture: tracking forest carbon stock and biodiversity through time in western Panama

Pelletier

Codjia

Potvin

2012

Global Change Biology

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Reducing Emissions from Deforestation and forest Degradation (REDD+) requires developing countries to quantify green-house gas emissions and removals from forests in a manner that is robust, transparent, and as accurate as possible. While shifting cultivation is a dominant practice in several developing countries, there is still very limited information available on how to monitor this land-use practice for REDD+ as little is known about the areas of shifting cultivation or the net carbon balance. In the present work, we propose and test a methodology to monitor the effect of the shifting cultivation on above-ground carbon stocks. We combine multi-year remote sensing information, taken from a 12-year period, with an in-depth community forest carbon stock inventory in Palo Seco Forest Reserve, western Panama. With remote sensing, we were able to separate four forest classes expressing different forest-use intensity and timesince-intervention which demonstrate expected trends in above-ground carbon stocks. The addition of different interventions observed over time is shown to be a good predictor, with remote sensing variables explaining 64.2% of the variation in forest carbon stocks in cultivated landscapes. Multi-temporal and multi-spectral medium resolution satellite imagery is shown to be adequate for tracking land-use dynamics of the agriculture-fallow cycle. The results also indicate that, over time, shifting cultivation has a transitory effect on forest carbon stocks in the study area. This is due to the rapid recovery of forest carbon stocks, which results in limited net emissions. Finally, community participation yielded important additional benefits to measuring

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Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models

Cited by 212 publications

References 24 publications

Targeted carbon conservation at national scales with high-resolution monitoring

Targeted carbon conservation at national scales with high-resolution monitoring

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

Traditional shifting agriculture: tracking forest carbon stock and biodiversity through time in western Panama

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