Skip to Main Content
Statistical strategies for global monitoring of tropical forestsAuthor(s): Raymond L. Czaplewski
Source: Invited paper presented at the Joint Workshop of International Space Year and FAO World Tropical Forest Resource Assessment 1990; San Juan, Puerto Rico; April 8-12. Rome, Italy: The Food and Agriculture Organization of the United Nations. 12 p.
Publication Series: Paper (invited, offered, keynote)
Station: Rocky Mountain Research Station
PDF: View PDF (872.0 KB)
DescriptionThe Food and Agricultural Organization (FAO) of the United Nations is conducting a global assessment of tropical forest resources, which will be accomplished by mid-1992. This assessment requires, in part, estimates of the total area of tropical forest cover in 1990, and the rate of change in forest cover between 1980 and 1990. This paper describes: (1) the strategic process used to select the statistical and remote sensing methods that accomplish this objective, (2) general details and expected precision of the selected method, and (3) recommendations for monitoring and assessment actions after 1992.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationCzaplewski, Raymond L. 1991. Statistical strategies for global monitoring of tropical forests. Invited paper presented at the Joint Workshop of International Space Year and FAO World Tropical Forest Resource Assessment 1990; San Juan, Puerto Rico; April 8-12. Rome, Italy: The Food and Agriculture Organization of the United Nations. 12 p.
Keywordsglobal monitoring, tropical forests, statistical and remote sensing, monitoring and assessment
- Strategies for global monitoring of tropical forests
- Potential for a remote-sensing-aided forest resource survey for the whole globe
- Mapping deforestation and forest degradation using Landsat time series: a case of Sumatra—Indonesia
XML: View XML