Characterizing tropical secondary forests using multi-temporal landsat sensor imagery

R. M. Lucas; M. Honzak; G. M. Foody; P. J. Curran; C. Corves

doi:10.1080/01431169308904419

Characterizing tropical secondary forests using multi-temporal landsat sensor imagery

R. M. Lucas, M. Honzak, G. M. Foody, P. J. Curran, C. Corves

Research output: Contribution to journal › Article › peer-review

85 Citations (Scopus)

Abstract

The age of tropical secondary forests was estimated using a postclassification comparison of a multi-temporal sequence of Landsat sensor imagery for an area north of Manaus, Brazil. Five stages of regenerating secondary forest together with primary forest and agricultural land were identified. Most secondary forests at this site were younger than 14 years and therefore represented the regeneration stages at which carbon accumulation was at a maximum. This study has implications for the regional or global mapping of tropical secondary forests for global carbon studies.

Original language	English
Pages (from-to)	3061-3067
Number of pages	7
Journal	International Journal of Remote Sensing
Volume	14
Issue number	16
DOIs	https://doi.org/10.1080/01431169308904419
Publication status	Published - Nov 1993
Externally published	Yes

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title = "Characterizing tropical secondary forests using multi-temporal landsat sensor imagery",

abstract = "The age of tropical secondary forests was estimated using a postclassification comparison of a multi-temporal sequence of Landsat sensor imagery for an area north of Manaus, Brazil. Five stages of regenerating secondary forest together with primary forest and agricultural land were identified. Most secondary forests at this site were younger than 14 years and therefore represented the regeneration stages at which carbon accumulation was at a maximum. This study has implications for the regional or global mapping of tropical secondary forests for global carbon studies.",

author = "Lucas, {R. M.} and M. Honzak and Foody, {G. M.} and Curran, {P. J.} and C. Corves",

note = "Funding Information: Acknowledgments The authors acknowledge the financial support provided by the NERC through its TIGER (Terrestrial Initiative in Global Environmental Research) programme, award number GST/02/604, the lnstituto Nacional de Pesquisas Espaciais (INPE) for providing the imagery, and Professor H. Gholz (University of Florida) for his helpful comments on the-manuscript.",

year = "1993",

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doi = "10.1080/01431169308904419",

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AU - Honzak, M.

AU - Foody, G. M.

AU - Curran, P. J.

AU - Corves, C.

N1 - Funding Information: Acknowledgments The authors acknowledge the financial support provided by the NERC through its TIGER (Terrestrial Initiative in Global Environmental Research) programme, award number GST/02/604, the lnstituto Nacional de Pesquisas Espaciais (INPE) for providing the imagery, and Professor H. Gholz (University of Florida) for his helpful comments on the-manuscript.

PY - 1993/11

Y1 - 1993/11

N2 - The age of tropical secondary forests was estimated using a postclassification comparison of a multi-temporal sequence of Landsat sensor imagery for an area north of Manaus, Brazil. Five stages of regenerating secondary forest together with primary forest and agricultural land were identified. Most secondary forests at this site were younger than 14 years and therefore represented the regeneration stages at which carbon accumulation was at a maximum. This study has implications for the regional or global mapping of tropical secondary forests for global carbon studies.

AB - The age of tropical secondary forests was estimated using a postclassification comparison of a multi-temporal sequence of Landsat sensor imagery for an area north of Manaus, Brazil. Five stages of regenerating secondary forest together with primary forest and agricultural land were identified. Most secondary forests at this site were younger than 14 years and therefore represented the regeneration stages at which carbon accumulation was at a maximum. This study has implications for the regional or global mapping of tropical secondary forests for global carbon studies.

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DO - 10.1080/01431169308904419

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VL - 14

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EP - 3067

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

IS - 16

ER -

Characterizing tropical secondary forests using multi-temporal landsat sensor imagery

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