An estimate of forest cover extent and change for Jamaica using MSS data

L.A. Tole

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Landsat Multispectral Scanner (MSS) data were used to derive an island-wide estimate of forest extent and change for Jamaica for the period 1987-1992. The study demonstrates how LandsatMSS data provide an invaluable resource for monitoring tropical forest change when, as in this study, a simple classiŽfication of forest versus non-forest is made. Using a broad deŽ nition of forest cover and a hybrid unsupervised/supervised classiŽ cation, the study derived an average per annum island-wide deforestation rate of 3.9% for this period. This estimate was then compared to existing estimates for the island and its reasonabless argued for in view of the latter's limitations and the study's own accuracy assessment. By providing a broad snapshot of the rate of forest loss on the island, it is hoped that this study's country-wide estimate will highlight the severity of the deforestation problem to scientists and policy-makers, and will provide the basis for more detailed forest classiŽ cation studies of the island.
LanguageEnglish
Pages91-106
Number of pages15
JournalInternational Journal of Remote Sensing
Volume23
Issue number1
DOIs
Publication statusPublished - 2002

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forest cover
deforestation
cation
accuracy assessment
Landsat multispectral scanner
tropical forest
multispectral scanner
monitoring
resource
rate

Keywords

  • aerial photography
  • remote sensing
  • environmental sciences
  • photography

Cite this

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title = "An estimate of forest cover extent and change for Jamaica using MSS data",
abstract = "Landsat Multispectral Scanner (MSS) data were used to derive an island-wide estimate of forest extent and change for Jamaica for the period 1987-1992. The study demonstrates how LandsatMSS data provide an invaluable resource for monitoring tropical forest change when, as in this study, a simple classiŽfication of forest versus non-forest is made. Using a broad deŽ nition of forest cover and a hybrid unsupervised/supervised classiŽ cation, the study derived an average per annum island-wide deforestation rate of 3.9{\%} for this period. This estimate was then compared to existing estimates for the island and its reasonabless argued for in view of the latter's limitations and the study's own accuracy assessment. By providing a broad snapshot of the rate of forest loss on the island, it is hoped that this study's country-wide estimate will highlight the severity of the deforestation problem to scientists and policy-makers, and will provide the basis for more detailed forest classiŽ cation studies of the island.",
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An estimate of forest cover extent and change for Jamaica using MSS data. / Tole, L.A.

In: International Journal of Remote Sensing, Vol. 23, No. 1, 2002, p. 91-106.

Research output: Contribution to journalArticle

TY - JOUR

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AU - Tole, L.A.

PY - 2002

Y1 - 2002

N2 - Landsat Multispectral Scanner (MSS) data were used to derive an island-wide estimate of forest extent and change for Jamaica for the period 1987-1992. The study demonstrates how LandsatMSS data provide an invaluable resource for monitoring tropical forest change when, as in this study, a simple classiŽfication of forest versus non-forest is made. Using a broad deŽ nition of forest cover and a hybrid unsupervised/supervised classiŽ cation, the study derived an average per annum island-wide deforestation rate of 3.9% for this period. This estimate was then compared to existing estimates for the island and its reasonabless argued for in view of the latter's limitations and the study's own accuracy assessment. By providing a broad snapshot of the rate of forest loss on the island, it is hoped that this study's country-wide estimate will highlight the severity of the deforestation problem to scientists and policy-makers, and will provide the basis for more detailed forest classiŽ cation studies of the island.

AB - Landsat Multispectral Scanner (MSS) data were used to derive an island-wide estimate of forest extent and change for Jamaica for the period 1987-1992. The study demonstrates how LandsatMSS data provide an invaluable resource for monitoring tropical forest change when, as in this study, a simple classiŽfication of forest versus non-forest is made. Using a broad deŽ nition of forest cover and a hybrid unsupervised/supervised classiŽ cation, the study derived an average per annum island-wide deforestation rate of 3.9% for this period. This estimate was then compared to existing estimates for the island and its reasonabless argued for in view of the latter's limitations and the study's own accuracy assessment. By providing a broad snapshot of the rate of forest loss on the island, it is hoped that this study's country-wide estimate will highlight the severity of the deforestation problem to scientists and policy-makers, and will provide the basis for more detailed forest classiŽ cation studies of the island.

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KW - remote sensing

KW - environmental sciences

KW - photography

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