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Forest inventory using multistage sampling with probability proportional to size

Authors
  • Lee, David Chung Liang
  • Hernandez Filho, Pedro
  • Shimabukuro, Yosio Edemir
  • Assis, Oswaldo Roque de
  • Medeiros, Jose Simeao de
Publication Date
Jan 01, 1984
Source
Biblioteca Digital da Memória Científica do INPE
Keywords
License
Unknown
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Abstract

The objective of this study was to develop and evaluate a multistage sampling technique, with probability proportional to size, for forest volume inventory using remote sensing data. The study area (12 x 12 km2)is located in the Southeastern Brazil. LANDSAT-4 digital data of September 11, 1982 of the study area were used in the first stage for automatic classification of reforested areas. Four classes of pine and eucalypt with different tree volumes were classified utilizing a maximum likelihood classification algorithm. Color infrared aerial photographs (1:10,000)obtained in July, 1982 were utilized in the second stage of sampling. In the third stage (ground level)the timber volume of each class was determined. The total timber volume of each class was expanded through a statistical procedure taking into account all the three stages of sampling. This procedure resulted in an accurate timber volume estimate with a smaller number of aerial photographs and reduced time in field work. / Pages: 285-292

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