An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
In recent decades, global biodiversity has gradually diminished due to the increasing
pressure from anthropogenic activities and climatic change. Accurate estimations of spatially …
pressure from anthropogenic activities and climatic change. Accurate estimations of spatially …
Neural network-based modelling for forest biomass assessment
Forest biomass is an important parameter for assessing the status of forest ecosystems. In
the present study, forest biomass was assessed by integrating remotely-sensed satellite …
the present study, forest biomass was assessed by integrating remotely-sensed satellite …
Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data
Quantifying biomass consumption and carbon release is critical to understanding the role of
fires in the carbon cycle and air quality. We present a methodology to estimate the biomass …
fires in the carbon cycle and air quality. We present a methodology to estimate the biomass …
Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery
ABSTRACT Forests of the Sierra Nevada (SN) mountain range are valuable natural
heritages for the region and the country, and tree height is an important forest structure …
heritages for the region and the country, and tree height is an important forest structure …
Using Landsat time-series and LiDAR to inform aboveground forest biomass baselines in northern Minnesota, USA
The publicly accessible archive of Landsat imagery and increasing regional-scale LiDAR
acquisitions offer an opportunity to periodically estimate aboveground forest biomass (AGB) …
acquisitions offer an opportunity to periodically estimate aboveground forest biomass (AGB) …
Updating national forest inventory estimates of growing stock volume using hybrid inference
S Condés, RE McRoberts - Forest Ecology and Management, 2017 - Elsevier
International organizations increasingly require estimates of forest parameters to monitor the
state of and changes in forest resources, the sustainability of forest practices and the role of …
state of and changes in forest resources, the sustainability of forest practices and the role of …
[HTML][HTML] Prediction of dominant forest tree species using quickbird and environmental data
Modelling the spatial distribution of plants is one of the indirect methods for predicting the
properties of plants and can be defined based on the relationship between the spatial …
properties of plants and can be defined based on the relationship between the spatial …
Modeling biophysical properties of broad-leaved stands in the hyrcanian forests of Iran using fused airborne laser scanner data and ultraCam-D images
Inventories of mixed broad-leaved forests of Iran mainly rely on terrestrial measurements.
Due to rapid changes and disturbances and great complexity of the silvicultural systems of …
Due to rapid changes and disturbances and great complexity of the silvicultural systems of …
[HTML][HTML] Spatiotemporal analyses of urban vegetation structural attributes using multitemporal Landsat TM data and field measurements
Key message We conducted spatiotemporal analyses of urban vegetation structural
attributes using multitemporal Landsat TM data and field measurements. We showed that …
attributes using multitemporal Landsat TM data and field measurements. We showed that …
Biomass production and carbon storage potential of selected old-growth temperate forests in Garhwal Himalaya, India
S Dimri, P Baluni, CM Sharma - Proceedings of the National Academy of …, 2017 - Springer
Fifteen old-growth temperate forest types were assessed for biomass productivity and
carbon (C) storage potential by laying out sample plots randomly in each forest type along …
carbon (C) storage potential by laying out sample plots randomly in each forest type along …