The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests

Verhegghen, Astrid; Eva, Hugh; Ceccherini, Guido; Achard, Frédéric; Gond, Valéry; Gourlet‐Fleury, Sylvie; Cerutti, P.O.

doi:10.3390/rs8120986

Cited by 135 publications

(107 citation statements)

References 53 publications

(80 reference statements)

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“…Consequently, the exotic herb species Chromolaena odorata, which is very abundant along open roads in central Africa, disappeared shortly after road abandonment due to growth of taller shading species (Kleinschroth et al 2016c). In the Congo Basin, recent El Niño-related fire events showed a clear positive correlation with the abundance of Marantaceae herbs (Verhegghen et al 2016). These indigenous herbs show long-lasting high abundance on abandoned logging roads (Kleinschroth et al 2016c), which may explain many (but not all) observed fire outbreaks being located near permanent or recently abandoned logging roads in this region (Verhegghen et al 2016).…”

Section: Resultsmentioning

confidence: 99%

“…In the Congo Basin, recent El Niño-related fire events showed a clear positive correlation with the abundance of Marantaceae herbs (Verhegghen et al 2016). These indigenous herbs show long-lasting high abundance on abandoned logging roads (Kleinschroth et al 2016c), which may explain many (but not all) observed fire outbreaks being located near permanent or recently abandoned logging roads in this region (Verhegghen et al 2016).…”

Section: Resultsmentioning

confidence: 99%

“…In the Congo Basin, recent El Niño‐related fire events showed a clear positive correlation with the abundance of Marantaceae herbs (Verhegghen et al . ). These indigenous herbs show long‐lasting high abundance on abandoned logging roads (Kleinschroth et al .…”

Section: Resultsmentioning

confidence: 99%

“…), which may explain many (but not all) observed fire outbreaks being located near permanent or recently abandoned logging roads in this region (Verhegghen et al . ).…”

Section: Resultsmentioning

confidence: 99%

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Impacts of logging roads on tropical forests

2017

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Road networks are expanding in tropical countries, increasing human access to remote forests that act as refuges for biodiversity and provide globally important ecosystem services. Logging is one of the main drivers of road construction in tropical forests. We evaluated forest fragmentation and impacts of logging roads on forest resilience and wildlife, considering the full life cycle of logging roads. Through an extensive evidence review we found that for logging road construction, corridors between 3 and 66 m (median 20 m) width are cleared, leading to a loss of 0.6–8.0 percent (median 1.7%) of forest cover. More severe impacts are increased fire incidence, soil erosion, landslides, and sediment accumulation in streams. Once opened, logging roads potentially allow continued access to the forest interior, which can lead to biological invasions, increased hunting pressure, and proliferation of swidden agriculture. Some roads, initially built for logging, become converted to permanent, public roads with subsequent in‐migration and conversion of forest to agriculture. Most logging roads, however, are abandoned to vegetation recovery. Given the far‐reaching impacts of the roads that become conduits for human access, its control after the end of logging operations is crucial. Strategic landscape planning should design road networks that concentrate efficient forest exploitation and conserve roadless areas.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…), which may explain many (but not all) observed fire outbreaks being located near permanent or recently abandoned logging roads in this region (Verhegghen et al . ).…”

Section: Resultsmentioning

confidence: 99%

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Impacts of logging roads on tropical forests

2017

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“…The development of new perspectives and methods is illustrated by recent research, exploiting the potential of Sentinels data for forest characterization, such as new methods for forest deforestation, degradation, and fire monitoring; 43,44 new detailing of canopy in terms of biophysical properties or for functional types classification; 45,46 and innovative data fusion for mapping plantation extent. 47 Very few studies addressed the applicability of S1, S2, or joint data, for biomass monitoring.…”

Section: Introductionmentioning

confidence: 99%

Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

Laurin

Balling

Corona³

et al. 2018

J. Appl. Rem. Sens.

121

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Abstract. The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground biomass (AGB) at the provincial level in a Mediterranean forested landscape. The regression results indicate good accuracy of prediction (R 2 ¼ 0.7) using integrated sensors when an upper bound of 400 Mg ha −1 is used in modeling. Multitemporal SAR information was relevant, allowing the selection of optimal Sentinel-1 data, as broadleaf forests showed a different response in backscatter throughout the year. Similar accuracy in predictions was obtained when using SAR multifrequency data or joint SAR and optical data. Predictions based on SAR data were more conservative, and in line with those from an independent sample from the National Forest Inventory, than those based on joint data types. The potential of S1 data in predicting AGB can possibly be improved if models are developed per specific groups (deciduous or evergreen species) or forest types and using a larger range of ground data. Overall, this research shows the usefulness of Sentinel-1 data to map biomass at very high resolution for local study and at considerable carbon density. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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The puzzling ecology of African Marantaceae forests

Pouteau,

Picard,

Doumenge

et al. 2024

American J of Botany

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Marantaceae forests are tropical rainforests characterized by a continuous understory layer of perennial giant herbs and a near absence of tree regeneration. Although widespread in West‐Central Africa, Marantaceae forests have rarely been considered in the international literature. Yet, they pose key challenges and opportunities for theoretical ecology that transcend the borders of the continent. Specifically, we ask in this review whether open Marantaceae forests and dense closed‐canopy forests can be considered as one of the few documented examples of alternative stable states in tropical forests. First, we introduce the different ecological factors that have been posited to drive Marantaceae forests (climate, soil, historical and recent anthropogenic pressures, herbivores) and develop the different hypotheses that have been suggested to explain how Marantaceae forests establish in relation with other vegetation types (understory invasion, early succession after disturbance, and intermediate successional stage). Then, we review the underlying ecological mechanisms that can explain the stability of Marantaceae forests in the long term (tree recruitment inhibition, promotion of and resilience to fire, adaptive reproduction, maintenance by megaherbivores). Although some uncertainties remain and call for further empirical and theoretical research, we found converging evidence that Marantaceae forests are associated with an ecological succession that has been deflected or arrested. If verified, Marantaceae forests may provide a useful model to understand critical transitions in forest ecosystems, which is of particular relevance to achieve sustainable forest management and mitigate global climate change.

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The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests

Cited by 135 publications

References 53 publications

Impacts of logging roads on tropical forests

Impacts of logging roads on tropical forests

Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

The puzzling ecology of African Marantaceae forests

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