Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire …
Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …
to, among other factors, the high quantity and complex structure of fuel in these …
Hyperspectral and lidar data applied to the urban land cover machine learning and neural-network-based classification: A review
Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …
for using machine learning algorithms to map urban environments. Both hyperspectral and …
A review of crop water stress assessment using remote sensing
Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …
illness, and crop water stress. This could potentially be addressed by technological …
Multimodal hyperspectral remote sensing: An overview and perspective
Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …
achievements in aerospace and aviation field and been applied in many fields …
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
Abstract Multispectral LiDAR (Light Detection And Ranging) is characterized of the
completeness and consistency of its spectrum and spatial geometric data, which provides a …
completeness and consistency of its spectrum and spatial geometric data, which provides a …
Multispectral LiDAR point cloud classification using SE-PointNet++
A multispectral light detection and ranging (LiDAR) system, which simultaneously collects
spatial geometric data and multi-wavelength intensity information, opens the door to three …
spatial geometric data and multi-wavelength intensity information, opens the door to three …
[HTML][HTML] AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data
Accurate land cover (LC) classification plays an important role in ecosystem protection,
climate changes, and urban planning. The airborne multispectral LiDAR data are …
climate changes, and urban planning. The airborne multispectral LiDAR data are …
Introducing improved transformer to land cover classification using multispectral LiDAR point clouds
Z Zhang, T Li, X Tang, X Lei, Y Peng - Remote Sensing, 2022 - mdpi.com
The use of Transformer-based networks has been proposed for the processing of general
point clouds. However, there has been little research related to multispectral LiDAR point …
point clouds. However, there has been little research related to multispectral LiDAR point …
Classification of airborne multispectral lidar point clouds for land cover mapping
Airborne light detection and ranging (lidar) data are widely used for high-resolution land
cover mapping. The lidar elevation data are typically used as complementary information to …
cover mapping. The lidar elevation data are typically used as complementary information to …
[HTML][HTML] Classification of land-water continuum habitats using exclusively airborne topobathymetric LiDAR green waveforms and infrared intensity point clouds
Coastal areas host highly valuable ecosystems that are increasingly exposed to the threats
of global and local changes. Monitoring their evolution at a high temporal and spatial scale …
of global and local changes. Monitoring their evolution at a high temporal and spatial scale …