A Machine Learning Approach for Mapping Forest Categories: An Application of Google Earth Engine for the Case Study of Monte Sant'Angelo, Central Italy.
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%0 Conference Paper
%1 conf/iccsa/BalestraCMGM21
%A Balestra, Mattia
%A Chiappini, Stefano
%A Malinverni, Eva Savina
%A Galli, Andrea
%A Marcheggiani, Ernesto
%B ICCSA (7)
%D 2021
%E Gervasi, Osvaldo
%E Murgante, Beniamino
%E Misra, Sanjay
%E Garau, Chiara
%E Blecic, Ivan
%E Taniar, David
%E Apduhan, Bernady O.
%E Rocha, Ana Maria A. C.
%E Tarantino, Eufemia
%E Torre, Carmelo Maria
%I Springer
%K dblp
%P 155-168
%T A Machine Learning Approach for Mapping Forest Categories: An Application of Google Earth Engine for the Case Study of Monte Sant'Angelo, Central Italy.
%U http://dblp.uni-trier.de/db/conf/iccsa/iccsa2021-7.html#BalestraCMGM21
%V 12955
%@ 978-3-030-87007-2
@inproceedings{conf/iccsa/BalestraCMGM21,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Balestra, Mattia and Chiappini, Stefano and Malinverni, Eva Savina and Galli, Andrea and Marcheggiani, Ernesto},
biburl = {https://www.bibsonomy.org/bibtex/2747b514da37031a901149ed81bf7c092/dblp},
booktitle = {ICCSA (7)},
crossref = {conf/iccsa/2021-7},
editor = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Garau, Chiara and Blecic, Ivan and Taniar, David and Apduhan, Bernady O. and Rocha, Ana Maria A. C. and Tarantino, Eufemia and Torre, Carmelo Maria},
ee = {https://doi.org/10.1007/978-3-030-87007-2_12},
interhash = {3893dc13bff503d8e13f95d81cafc56a},
intrahash = {747b514da37031a901149ed81bf7c092},
isbn = {978-3-030-87007-2},
keywords = {dblp},
pages = {155-168},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T22:40:29.000+0200},
title = {A Machine Learning Approach for Mapping Forest Categories: An Application of Google Earth Engine for the Case Study of Monte Sant'Angelo, Central Italy.},
url = {http://dblp.uni-trier.de/db/conf/iccsa/iccsa2021-7.html#BalestraCMGM21},
volume = 12955,
year = 2021
}