Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol

Patenaude, Geneviève; Milne, R.; Dawson, Terence P.

doi:10.1016/j.envsci.2004.12.010

Cited by 176 publications

(111 citation statements)

References 79 publications

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“…There is a significant international interest regarding accurate estimations of carbon sequestration [1][2][3][4]. Sweden is well placed for undertaking research into forest variables at both small scale (tree-level) and large scale (national level) due to its significant areas of forest land (28.1 million ha) and its well-established research structure.…”

Section: Introductionmentioning

confidence: 99%

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Persson

Fransson

2014

Remote Sensing

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Abstract:The last decade has seen launches of radar satellite missions operating in X-band with the sensors acquiring images with spatial resolutions on the order of 1 m. This study uses digital surface models (DSMs) extracted from stereo synthetic aperture radar images and a reference airborne laser scanning digital terrain model to calculate the above-ground biomass and tree height. The resulting values are compared to in situ data. Analyses were undertaken at the Swedish test sites Krycklan (64°N) and Remningstorp (58°N), which have different site conditions. The results showed that, for 459 forest stands in Remningstorp, biomass estimation at the stand level could be performed with 22.9% relative root mean square error, while the height estimation showed 9.4%. Many factors influenced the results and it was found that the topography has a significant effect on the generated DSMs and should therefore be taken into consideration when the stand level mean slope is above four degrees. Different tree species did not have a major effect on the models during leaf-on conditions. Moreover, correct estimation within young forest stands was problematic. The intersection angles resulting in the best results were in the range 8-16°. Based on the results in this study, radargrammetry appears to be a promising potential remote sensing technique for future forest applications.

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Section: Introductionmentioning

confidence: 99%

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Persson

Fransson

2014

Remote Sensing

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“…Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The needs for reporting carbon stocks and stock changes for the Kyoto Protocol have placed additional demands for accurate surveying methods that are verifiable, specific in time and space, and that cover large areas at acceptable cost [1][2][3][4]. Terrestrial ecosystems contain substantial carbon pools whose dynamics may impact and interact with atmospheric CO 2 concentrations [5,6], potentially influencing climatic conditions [7].…”

Section: Introductionmentioning

confidence: 99%

Development of Biomass Expansion Factor (BEF) and Estimation of Carbon Pool in Ailanthus excelsa Roxb Plantation

Giri¹

2014

J Chem Eng Process Technol

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“…These indices are solely designed to optimize the spectral signatures of vegetation and to minimize the influence of soil reflectance and atmospheric attenuation (Patenaude et al, 2005). In Northern Kazakhstan, the NOAA satellite imagery, GIS data layers and NDVI measurements were manipulated to estimate CO 2 sequestration in cereal crop fields and grassland (Sultangazin et al, 2007).…”

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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Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol

Cited by 176 publications

References 79 publications

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Development of Biomass Expansion Factor (BEF) and Estimation of Carbon Pool in Ailanthus excelsa Roxb Plantation

Geo-Spatial Technologies for Carbon Sequestration Monitoring and Management

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