DOI: 10.1016/j.jag.2013.09.001
Scopus记录号: 2-s2.0-84897841608
论文题名: Combination of optical and LiDAR satellite imagery with forest inventory data to improve wall-to-wall assessment of growing stock in Italy
作者: Maselli F ; , Chiesi M ; , Mura M ; , Marchetti M ; , Corona P ; , Chirici G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 377
结束页码: 386
语种: 英语
英文关键词: CORINE land cover
; Forest inventory
; GLAS
; Locally weighted regression
; MODIS
Scopus关键词: forest cover
; forest inventory
; forest management
; lidar
; MODIS
; regression analysis
; remote sensing
; satellite imagery
; Italy
英文摘要: The acquisition of information about growing stock is a fundamental step in the framework of forestmanagement planning and scenario modeling, besides being essential for assessing the amount of carbonstored within forest ecosystems. Gallaun et al. (2010) produced a pan-European map of forest growingstock by the combination of ground and remotely sensed data. The first objective of the current paper is toassess the accuracy of this map versus the ground data collected during the latest Italian National ForestInventory (INFC). Next, a new wall-to-wall estimation of growing stock is obtained by combining groundmeasurements of four regional forest inventories with the CORINE land cover map of Italy and the globalcanopy height map derived from Geoscience Laser Altimeter System (GLAS) and Moderate ResolutionImaging Spectroradiometer (MODIS) data. More particularly, the growing stock measurements of thefour inventories are stratified by ecosystem type and extended over all Italian forest areas through theapplication of locally weighted regressions to the GLAS/MODIS canopy height map. When compared tothe INFC measurements, the new map shows higher accuracy than that by Gallaun et al., particularly forhigh growing stock values. The coefficient of determination between estimated and INFC growing stocksis improved by about 0.5, whilst the mean square error is reduced from 90 to 48 m3ha-1. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79630
Appears in Collections: 气候变化事实与影响
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作者单位: IBIMET-CNR, via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy; EcoGeoFor - Università del Molise, Contrada Fonte Lappone snc, 86090 Pesche (IS), Italy; Consiglio per la ricerca e la sperimentazione in agricoltura, Forestry Research Centre (CRA-SEL), Arezzo, Italy
Recommended Citation:
Maselli F,, Chiesi M,, Mura M,et al. Combination of optical and LiDAR satellite imagery with forest inventory data to improve wall-to-wall assessment of growing stock in Italy[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)