Status and application of advanced airborne hyperspectral imaging technology: A review

J Jia, Y Wang, J Chen, R Guo, R Shu, J Wang - Infrared Physics & …, 2020 - Elsevier
Hyperspectral imaging technology has evolved for over thirty years and is widely used for
geologic map**, environmental monitoring, vegetation analysis, atmospheric …

Earth system science related imaging spectroscopy—An assessment

ME Schaepman, SL Ustin, AJ Plaza, TH Painter… - Remote Sensing of …, 2009 - Elsevier
The science of spectroscopy has existed for more than three centuries, and imaging
spectroscopy for the Earth system for three decades. We first discuss the historical …

Remote sensing of terrestrial plant biodiversity

R Wang, JA Gamon - Remote Sensing of Environment, 2019 - Elsevier
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …

Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

E Raczko, B Zagajewski - European Journal of Remote Sensing, 2017 - Taylor & Francis
Knowledge of tree species composition in a forest is an important topic in forest
management. Accurate tree species maps allow for much more detailed and in-depth …

Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats

H Nagendra, R Lucas, JP Honrado, RHG Jongman… - Ecological …, 2013 - Elsevier
Monitoring protected areas and their surrounds at local to regional scales is essential given
their vulnerability to anthropogenic pressures, including those associated with climatic …

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 …

Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system

A Michez, H Piégay, J Lisein, H Claessens… - Environmental …, 2016 - Springer
Riparian forests are critically endangered many anthropogenic pressures and natural
hazards. The importance of riparian zones has been acknowledged by European Directives …

Map** tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

MA Cho, R Mathieu, GP Asner, L Naidoo… - Remote Sensing of …, 2012 - Elsevier
Map** 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) …

Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

EF Berra, R Gaulton, S Barr - Remote sensing of environment, 2019 - Elsevier
The monitoring of forest phenology in a cost-effective manner, at a fine spatial scale and
over relatively large areas remains a significant challenge. To address this issue, unmanned …

Map** savanna tree species at ecosystem scales using support vector machine classification and BRDF correction on airborne hyperspectral and LiDAR data

MS Colgan, CA Baldeck, JB Féret, GP Asner - Remote Sensing, 2012 - mdpi.com
Map** the spatial distribution of plant species in savannas provides insight into the roles
of competition, fire, herbivory, soils and climate in maintaining the biodiversity of these …