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A report to the food and agriculture organization of the united nations (FAO) in support of sampling study for National Forestry Resources Monitoring and Assessment (NAFORMA) in Tanzania

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Abstract
Erkki Tomppo1, Matti Katila1, Kai Mäkisara1, Jouni Peräsaari1, Rogers Malimbwi2, Nurudin Chamuya3, Jared Otieno3, Søren Dalsgaard4, Mikko Leppänen5 1 Finnish Forest Research Institute, Vantaa, Finland PO Box 18 (Jokiniemenkuja 1) FI-01301 Vantaa, Finland tel: +358 10 211 2170, fax: 358 10 211 2202 email erkki.tomppo@metla.fi 2 Sokoine University of Agriculture, the United Rebublic of Tanzania 3 Forest and Beekeeping Division of Ministry of Natural Resources, the United Rebublic of Tanzania 4 Food and Agriculture Organization of the United Nations, Dar es Salaam 5 Food and Agriculture Organization of the United Nations, Rome

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References
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Book

Model assisted survey sampling

TL;DR: This book presents the principles of Estimation for Finite Populations and Important Sampling Designs and a Broader View of Errors in Surveys: Nonsampling Errors and Extensions of Probability Sampling Theory.
Book

Sampling Strategies for Natural Resources and the Environment

TL;DR: Sampling Strategies for Natural Resources and the Environment as mentioned in this paper covers the sampling techniques used in ecology, forestry, environmental science, and natural resources and presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis.
Journal ArticleDOI

Combining national forest inventory field plots and remote sensing data for forest databases

TL;DR: In this article, the authors provide a review of how NFI field plot information has been used for parameterization of image data in Sweden and Finland, including pre-processing steps like haze correction, slope correction, and the optimization of the estimation variables.
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