NDLI: Sampling Global Deforestation Databases: The Role of Persistence

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Sampling global deforestation databases: The role of persistence

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Mitigation and Adaptation Strategies for Global Change : Volume 2, Issue 1, January 1997

Mitigation and Adaptation Strategies for Global Change : Volume 1

Sampling Global Deforestation Databases: The Role of Persistence

Content Provider	Springer Nature Link
Author	Sanchez Azofeifa, G. Arturo Skole, David L. Chomentowski, Walter
Copyright Year	1997
Abstract	One of the concerns regarding transformation of land cover in tropical areas has been the large degree of uncertainty associated with both rates of deforestation over time and total deforestation. Special monitoring mechanisms must be taken into consideration if a program toward deforestation control is going to be implemented at the national or regional scale. The premise of this paper is that any attempt to quantify tropical deforestation and deforestation rates — at regional level, by randomly selecting sites within a population of satellite scenes — would require an overwhelming number of samples. This paper suggests a methodological approach for sampling remote sensing databases to be used as part of land use/cover change or joint implementation projects. This paper uses the concept of stratification and persistence as main tools.
Starting Page	177
Ending Page	189
Page Count	13
File Format	PDF
ISSN	13812386
Journal	Mitigation and Adaptation Strategies for Global Change
Volume Number	2
Issue Number	2-3
e-ISSN	15731596
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	1997-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Meteorology/Climatology Climate Change Environmental Management
Content Type	Text
Resource Type	Article
Subject	Ecology Global and Planetary Change

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