Cross-modal fusion approach with multispectral, LiDAR, and SAR data for forest canopy height mapping in mountainous regionForest canopy height (CH)Multi-source dataMachine learning (ML)Vodno mountainResearch paper highlights:Integration of multi-source remote sensing technology for a detailed forest ...
LiDAR fusion with other datasets, including multispectral, hyperspectral, and radar, is found to be useful for a variety of applications in the literature, both at individual tree level and at area level, for tree/crown segmentation, aboveground biomass assessments, canopy height, tree species ident...
active remote sensing sensors, Synthetic aperture radar (SAR) has certain penetrability to forest canopy, and is sensitive to water content in vegetation and not affected by clouds [17,35]. Although SAR can improve the saturation value of AGB, it still cannot completely solve this problem [24,...
Digital surface models (DSMs) derived from light detection and ranging (LiDAR) data have been increasingly integrated with high-resolution multispectral sa... W Zhou - 《IEEE Geoscience & Remote Sensing Letters》 被引量: 62发表: 2013年 Airborne lidar-based estimates of tropical forest structure ...
To differentiate only the 3D building changes, vegetation needs to be classified and filtered out of the difference surface model DSMD . Due to the lack of multispectral image data or colour infrared (CIR) imagery, common vegetation classification based on the normalized difference vegetation index ...
SfM photogrammetry was obtained using a MicaSense RedEdge multispectral sensor (MicaSense, Inc., USA). With five narrow spectral bands (R,G,B, red-edge and NIR), the small (9.4 × 6.3 x 4.6 cm) lightweight (0.18 kg) camera provided a 47.2° field of view, resolution ...
By using random forest classification of pan-sharpened, high-resolution satellite imagery, we were able to delineate stands of A. angustifolia, ranging from individuals to large groups of trees, based on their unique multispectral characteristics (Figure 2). Araucaria angustifolia was the dominant cano...
(SAVI), the green normalized difference vegetation index (GNDVI), the normalized difference greenness index (NDGI), and the chlorophyll vegetation index (CVI). The Sentinel-1 SAR image (VV and VH backscatter bands) and the derived variables as the ratio, average, and square root of the VV ...
[56], who also found that the classification accuracy of a U-Net architecture trained with fused multispectral and SAR data was higher than of other architectures trained with either multispectral imagery or SAR data only; however, the CNN model including only multispectral image input gave almost...
Sensitivity of multiangle, multispectral polarimetric remote sensing over open oceans to water-leaving radiance: Analyses of RSP data acquired during the MILAGRO campaign. Remote Sens. Environ. 2012, 118, 284–308. [Google Scholar] [CrossRef] Chami, M. Importance of the polarization in the ...