Developments in Landsat land cover classification methods: A review
D Phiri, J Morgenroth - Remote Sensing, 2017 - mdpi.com
Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …
developed from Earth observation satellites. The last four decades were marked by different …
Seeing the system from above: the use and potential of remote sensing for studying ecosystem dynamics
C Senf - Ecosystems, 2022 - Springer
Remote sensing techniques are increasingly used for studying ecosystem dynamics,
delivering spatially explicit information on the properties of Earth over large spatial and multi …
delivering spatially explicit information on the properties of Earth over large spatial and multi …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Neural network guided interpolation for map** canopy height of China's forests by integrating GEDI and ICESat-2 data
Spatially continuous estimates of forest canopy height at national to global scales are critical
for quantifying forest carbon storage, understanding forest ecosystem processes, and …
for quantifying forest carbon storage, understanding forest ecosystem processes, and …
Map** forest change using stacked generalization: An ensemble approach
The ever-increasing volume and accessibility of remote sensing data has spawned many
alternative approaches for map** important environmental features and processes. For …
alternative approaches for map** important environmental features and processes. For …
Map** urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
Map** tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …
as to improve our understanding of the role of urban vegetation as an ecological service …
Managing mangrove forests from the sky: Forest inventory using field data and Unmanned Aerial Vehicle (UAV) imagery in the Matang Mangrove Forest Reserve …
Retrieval of biophysical properties of mangrove vegetation (eg height and above ground
biomass) has typically relied upon traditional forest inventory data collection methods …
biomass) has typically relied upon traditional forest inventory data collection methods …
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland
Application of 3D data derived from images captured using unmanned aerial vehicles
(UAVs) in forest biomass estimation has shown great potential in reducing costs and …
(UAVs) in forest biomass estimation has shown great potential in reducing costs and …
Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data
Y Quan, M Li, Y Hao, J Liu, B Wang - GIScience & Remote Sensing, 2023 - Taylor & Francis
Recent growth in unmanned aerial vehicle (UAV) technology have promoted the detailed
map** of individual tree species. However, the in-depth mining and comprehending of the …
map** of individual tree species. However, the in-depth mining and comprehending of the …