Relationships between forest structure and vegetation indices in Atlantic Rainforest

Freitas, Sérgio de; Mello, Marcia C.S.; Cruz, Carla Bernadete Madureira

doi:10.1016/j.foreco.2005.08.036

Cited by 126 publications

(87 citation statements)

References 16 publications

(27 reference statements)

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“…Previous studies in evergreen landscapes [29,48] indicate that Landsat derived indices of vegetation are highly sensitive to plant abundance, perhaps even more so than to species richness and Shannon diversity. Yet, we find in our study that vegetation indices have low, non significant relationships with stand density, while they demonstrate stronger relationships with species richness and diversity.…”

Section: Discussionmentioning

confidence: 99%

Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

Nagendra

Rocchini

Ghate³

et al. 2010

Remote Sensing

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While high expectations have been raised about the utility of high resolution satellite imagery for biodiversity assessment, there has been almost no empirical assessment of its use, particularly in the biodiverse tropics which represent a very challenging environment for such assessment challenge. This research evaluates the use of high spatial resolution (IKONOS) and medium spatial resolution (Landsat ETM+) satellite imagery for assessing vegetation diversity in a dry tropical forest in central India. Contrary to expectations, across multiple measures of plant distribution and diversity, the resolution of IKONOS data is too fine for the purpose of plant diversity assessment and Landsat imagery performs better.

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Section: Discussionmentioning

confidence: 99%

Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

Nagendra

Rocchini

Ghate³

et al. 2010

Remote Sensing

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“…Remote sensors (including not only space-imagery systems, but also side-looking radar and aerial photography) are obviously very useful to evaluate deforestation, especially in tropical regions (Myers 1988;Freitas et al 2005;Freitas and Shimabukuro in press). Though imagery resources can provide a reliable basis for measuring the amount and spatial configuration of forest clearing and exploitation, they cannot solely explain why deforestation occurs (Wood and Skole 1998).…”

Section: Introductionmentioning

confidence: 99%

Combining sensors in landscape ecology: imagery-based and farm-level analysis in the study of human-driven forest fragmentation

Cabral¹,

Freitas²,

Fiszon

2007

Soc. nat.

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“…The combined use of biomass models and NDVI data has simplified estimation of carbon stocks in boreal and temperate forests (Dong et al, 2003), Atlantic rainforests (Freitas et al, 2005), peat swamp forests (Gandaseca et al, 2009) croplands (Watts et al, 2009;Yan et al, 2007), biologic soil crusts (Burgheimer et al, 2006), bamboo stands (Du et al, 2010) and semi arid rangelands (Nosetto et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Geo-Spatial Technologies for Carbon Sequestration Monitoring and Management

Jeyanny¹

2011

American Journal of Environmental Sciences

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Problem statement: Globally, the quantification of Carbon Sequestration (CS) potential of various ecosystems was a challenge. There was an urgent need for technologies that can quantify CS potential cost-efficiently in a repeated and organized manner. Approach: Remote Sensing (RS) and Geographic Information System (GIS) had great potential in current estimation, future prediction and management of carbon sequestration potential in terrestrial ecosystems. This review discusses the current utilization of RS and GIS technologies in CS management in various sectors. Results: Deployment of RS and GIS for CS sequestration improves accuracy, reduces costs, increases productivity and provides current observations from a regional scale. Conclusion: This review demonstrates the synergistic role of RS and GIS technologies in improving CS management.

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Relationships between forest structure and vegetation indices in Atlantic Rainforest

Cited by 126 publications

References 16 publications

Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

Combining sensors in landscape ecology: imagery-based and farm-level analysis in the study of human-driven forest fragmentation

Geo-Spatial Technologies for Carbon Sequestration Monitoring and Management

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