Review of optical-based remote sensing for plant trait mapping
L Homolová, Z Malenovský, JGPW Clevers… - Ecological …, 2013 - Elsevier
Plant trait data have been used in various studies related to ecosystem functioning,
community ecology, and assessment of ecosystem services. Evidences are that plant …
community ecology, and assessment of ecosystem services. Evidences are that plant …
A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment
A Ghiyamat, HZM Shafri - International Journal of Remote Sensing, 2010 - Taylor & Francis
This review paper evaluates the potential of hyperspectral remote sensing for assessing
species diversity in homogeneous (non-tropical) and heterogeneous (tropical) forest, an …
species diversity in homogeneous (non-tropical) and heterogeneous (tropical) forest, an …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion
The Carnegie Airborne Observatory (CAO) was developed to address a need for
macroscale measurements that reveal the structural, functional and organismic composition …
macroscale measurements that reveal the structural, functional and organismic composition …
Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system
Mapping savanna tree species is of broad interest for savanna ecology and rural resource
inventory. We investigated the utility of (i) the Carnegie Airborne Observatory (CAO) …
inventory. We investigated the utility of (i) the Carnegie Airborne Observatory (CAO) …
Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data
Accurately mapping the spatial distribution of tree species in tropical environments provides
valuable insights for ecologists and forest managers. This process may play an important …
valuable insights for ecologists and forest managers. This process may play an important …
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
The use of remote sensing data for tree species classification in tropical forests is still a
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
Tropical forests are an important component of the global carbon balance, yet there is
considerable uncertainty in estimates of their carbon stocks and fluxes, which are typically …
considerable uncertainty in estimates of their carbon stocks and fluxes, which are typically …
Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data
To answer new scientific and ecological questions and monitor multiple forest changes, a
fine scale characterization of these ecosystems is needed, and could imply the mapping of …
fine scale characterization of these ecosystems is needed, and could imply the mapping of …
Tree species discrimination in tropical forests using airborne imaging spectroscopy
We identify canopy species in a Hawaiian tropical forest using supervised classification
applied to airborne hyperspectral imagery acquired with the Carnegie Airborne Observatory …
applied to airborne hyperspectral imagery acquired with the Carnegie Airborne Observatory …