sampling design for a large area forest inventory: case Tanzania

• Published in: Canadian journal of forest research Vol. 44; no. 8; pp. 931 - 948
• Main Authors: Tomppo, Erkki, Rogers Malimbwi, Matti Katila, Kai Mäkisara, Helena M. Henttonen, Nurdin Chamuya, Eliakimu Zahabu, Jared Otieno
• Format: Journal Article
• Language: English
• Published: Ottawa NRC Research Press 01.08.2014; Canadian Science Publishing NRC Research Press
• Subjects: Computer simulation; Cost analysis; cost assessment; data collection; double sampling for stratification; Food and Agriculture Organization; Forest dynamics; forest inventory; Forest resources; Forestry research; Forests; inventaire forestier; Inventory; Land use; landscapes; National forests; Remote sensing; sampling simulation; simulation d’échantillonnage; Tanzania; télédétection; échantillonnage à deux degrés stratifié; évaluation des coûts; Tanzania

Methods for constructing a sampling design for large area forest inventories are presented. The methods, data sets used, and the procedures are demonstrated in a real setting: constructing a sampling design for the first national forest inventory for Tanzania. The approach of the paper constructs a...