Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data

被引：19
作者：
Bottalico, Francesca [1 ]
Travaglini, Davide [1 ]
Chirici, Gherardo [2 ]
Marchetti, Marco [2 ]
Marchi, Enrico [1 ]
Nocentini, Susanna [1 ]
Corona, Piermaria [3 ]
机构：
[1] Univ Florence, Dipartimento Gestione Sistemi Agrari Alimentari &, I-50145 Florence, Italy
[2] Univ Molise, Dipartimento Biosci & Terr, Contrada Fonte Lappone, I-86090 Pesche, Isernia, Italy
[3] Forestry Res Ctr, Consiglio Ric Sperimentaz Agr, I-52100 Arezzo, Italy
来源：
EUROPEAN JOURNAL OF REMOTE SENSING | 2014年 / 47卷
关键词：
ALS; Canopy Height Model; image segmentation; classification; LIDAR DATA; MULTISPECTRAL IMAGERY; STRUCTURAL ATTRIBUTES; CANOPY STRUCTURE; BIOMASS; VOLUME; STAND; INVENTORY; LANDSAT; PARAMETERS;
D O I：
10.5721/EuJRS20144725
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Forest classification by silvicultural systems (coppices vs. high forests) is important for forest resource assessment as such systems relate to a wide variety of ecosystem services. In this paper the potential of Airborne Laser Scanning (ALS) data for Mediterranean oak forests classification of coppices with standards vs. high forests was investigated in three study areas in Italy. We addressed the following issues: can coppices and high forests be distinguished using a raster Canopy Height Model (CHM)? Which are the most efficient CHM-derived metrics? Does the scale of analysis influence the classification potential of CHM metrics? Our results show that CHM in grid format (1-m(2) pixel) provides support information to classify silvicultural systems.
引用
收藏
页码：437 / 460
页数：24
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