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A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data and of Methods Including Remote Sensing Data in Forest Inventory

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  • G. Banko

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Suggested Citation

  • G. Banko, 1998. "A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data and of Methods Including Remote Sensing Data in Forest Inventory," Working Papers ir98081, International Institute for Applied Systems Analysis.
  • Handle: RePEc:wop:iasawp:ir98081
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    File URL: http://www.iiasa.ac.at/Publications/Documents/IR-98-081.pdf
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    Cited by:

    1. Guglielmo Pristeri & Francesca Peroni & Salvatore Eugenio Pappalardo & Daniele Codato & Anna Giulia Castaldo & Antonio Masi & Massimo De Marchi, 2020. "Mapping and Assessing Soil Sealing in Padua Municipality through Biotope Area Factor Index," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    2. Pankaj Bajracharya & Selima Sultana, 2020. "Rank-size Distribution of Cities and Municipalities in Bangladesh," Sustainability, MDPI, vol. 12(11), pages 1-26, June.
    3. Khouloud Abida & Meriem Barbouchi & Khaoula Boudabbous & Wael Toukabri & Karem Saad & Habib Bousnina & Thouraya Sahli Chahed, 2022. "Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas," Agriculture, MDPI, vol. 12(9), pages 1-13, September.
    4. Mahesh Kumar Gaur & R. K. Goyal & M. S. Raghuvanshi & R. K. Bhatt & M. Pandian & Ashish Mishra & Suraj Ismail Sheikh, 2020. "Geospatially extracting snow and ice cover distribution in the cold arid zone of India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 84-99, May.

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