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http://hdl.handle.net/2067/2333
Title: | K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm | Authors: | Chirici, Gherardo Corona, Piermaria Marchetti, Marco Mastronardi, Alessandro Maselli, Fabio Bottai, Lorenzo Travaglini, Davide |
Keywords: | Environmental Inventory and Mapping;Prediction;Remote Sensing;k-Nearest Neighbors | Issue Date: | 2012 | Publisher: | Associazione Italiana di Telerilevamento | Source: | Chirici, G. et al. 2012. K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k-Nearest Neighbors algorithm. "European Journal of Remote Sensing " 45: 433-442 | Abstract: | In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI. |
URI: | http://hdl.handle.net/2067/2333 | ISSN: | 2279-7254 | DOI: | 10.5721/EuJRS20124536 |
Appears in Collections: | DiSAFRi - Archivio della produzione scientifica |
Files in This Item:
File | Description | Size | Format | |
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EJRS_knn software.pdf | 738.26 kB | Adobe PDF | View/Open |
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