Forest inventory using multistage sampling with probability proportional to size
- Lee, D. C. L.
- Apr 1, 1984.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Deassis, O. R., Parada, N. D. J., Demedeiros, J. S., Shimabukuro, Y. E., and Hernandezfilho, P.
- Restrictions on Access:
- Unclassified, Unlimited, Publicly available. and Free-to-read Unrestricted online access
- A multistage sampling technique, with probability proportional to size, for forest volume inventory using remote sensing data is developed and evaluated. The study area is located in the Southeastern Brazil. The LANDSAT 4 digital data of the study area are used in the first stage for automatic classification of reforested areas. Four classes of pine and eucalypt with different tree volumes are classified utilizing a maximum likelihood classification algorithm. Color infrared aerial photographs are utilized in the second stage of sampling. In the third state (ground level) the time volume of each class is determined. The total time volume of each class is expanded through a statistical procedure taking into account all the three stages of sampling. This procedure results in an accurate time volume estimate with a smaller number of aerial photographs and reduced time in field work.
- NASA Technical Reports Server (NTRS) Collection.
- Document ID: 19840018024., Accession ID: 84N26092., NAS 1.26:172817., NASA-CR-172817., INPE-3084-PRE/494., E84-10144., and Intern. Soc. of Photogrammetry and Remote Sensing Congr.; 18-29 Jun. 1984; Rio de Janeiro; Brazil.
- No Copyright.
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