AIRBORNE MULTISPECTRAL LIDAR DATA FOR LAND-COVER CLASSIFICATION AND LAND/WATER MAPPING USING DIFFERENT SPECTRAL INDEXES

Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification

Several authors have already focused on the problem of automatic land cover mapping from multitemporal and multispectral satellite images of medium spatial resolution

However, LiDAR offers opportunities for rapidly estimating forest attributes, such as BA, over extensive areas with high accuracy (Hummel et al. 2011), and greatly reduces the

The objects classes typically discerned 3D land cover classification in study area have nine different classes from bottom to up: water bodies, bare soil, lawn, road,

It is based on the hydrological soil group, Land use/Land cover and daily rainfall data daily runoff depth which were estimated by MNRCS-CN method using

In this paper, the performances of biomass estimation using airborne LiDAR and Hyperspectral data will be explored in a sub-tropical forest of Southwest China.. STUDY SITE AND DATA

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-5/W12, 2011 ISPRS Calgary 2011 Workshop, 29-31 August 2011,

Here, for the period mid-1980s to late-2000s/2011 we examine net area fluctuations and shrinking rates using multispectral Landsat satellite data for 321