Land Cover Classification and Monitoring: the STEM Open Source Solution

Land Cover Classification and Monitoring: the STEM Open Source Solution is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.5721/EUJRS20154845

P50authorDamiano GianelleQ56755383
Markus NetelerQ3849666
P2093author name stringMarkus Neteler
Damiano Gianelle
Michele Dalponte
Luca Delucchi
Fabio Remondino
Francesco Nex
P2860cites workRecursive Feature Selection with Significant Variables of Support VectorsQ36184659
A multiscale random field model for Bayesian image segmentationQ51652214
GRASS GIS: A multi-purpose open source GISQ55933972
Laser Scanner Applications in Forest and Environmental SciencesQ57579975
Forest structure estimation and pattern exploration from discrete-return lidar in subalpine forests of the central RockiesQ58381830
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR dataQ58395766
A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR DataQ58395769
The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areasQ58395832
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest AreasQ58395839
Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in ItalyQ58397112
P433issue1
P921main subjectopen-source softwareQ1130645
land coverQ3001793
P304page(s)811-831
P577publication date2015-01-01
P1433published inEuropean Journal of Remote SensingQ50816511
P1476titleLand Cover Classification and Monitoring: the STEM Open Source Solution
P478volume48

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