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

Swansea University
University of Southampton
University of Edinburgh

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

87 Dyfyniadau (Scopus)

Crynodeb

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.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	3061-3067
Nifer y tudalennau	7
Cyfnodolyn	International Journal of Remote Sensing
Cyfrol	14
Rhif cyhoeddi	16
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1080/01431169308904419
Statws	Cyhoeddwyd - Tach 1993
Cyhoeddwyd yn allanol	Ie

NDC y CU

Mae’r allbwn hwn yn cyfrannu at y Nod(au) Datblygu Cynaliadwy canlynol

NDC 15 Bywyd ar y Tir

Mynediad at Ddogfen

10.1080/01431169308904419

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

@article{782fee79cbad47958554f1eb1e44d87a,

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",

month = nov,

doi = "10.1080/01431169308904419",

language = "English",

volume = "14",

pages = "3061--3067",

journal = "International Journal of Remote Sensing",

issn = "0143-1161",

publisher = "Taylor \& Francis",

number = "16",

}

TY - JOUR

T1 - Characterizing tropical secondary forests using multi-temporal landsat sensor imagery

AU - Lucas, R. M.

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.

UR - https://www.scopus.com/pages/publications/0027698706

U2 - 10.1080/01431169308904419

DO - 10.1080/01431169308904419

M3 - Article

SN - 0143-1161

VL - 14

SP - 3061

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

Crynodeb

NDC y CU

Mynediad at Ddogfen

Cysylltiad parhaol

Ffeiliau eraill a chysylltiadau

Ôl bys

Dyfynnu hyn