Spectral variability in hyperspectral data unmixing: A comprehensive review

RA Borsoi, T Imbiriba, JCM Bermudez… - … and remote sensing …, 2021 - ieeexplore.ieee.org
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …

Hyperspectral classification of plants: A review of waveband selection generalisability

A Hennessy, K Clarke, M Lewis - Remote Sensing, 2020 - mdpi.com
Hyperspectral sensing, measuring reflectance over visible to shortwave infrared
wavelengths, has enabled the classification and mapping of vegetation at a range of …

The global distribution of leaf chlorophyll content

H Croft, JM Chen, R Wang, G Mo, S Luo, X Luo… - Remote Sensing of …, 2020 - Elsevier
Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

MP Ferreira, M Zortea, DC Zanotta… - Remote Sensing of …, 2016 - Elsevier
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 …

Object-based tree species classification in urban ecosystems using LiDAR and hyperspectral data

Z Zhang, A Kazakova, LM Moskal, DM Styers - Forests, 2016 - mdpi.com
In precision forestry, tree species identification is key to evaluating the role of forest
ecosystems in the provision of ecosystem services, such as carbon sequestration and …

Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion

AN Shiklomanov, MC Dietze, T Viskari… - Remote Sensing of …, 2016 - Elsevier
The remote monitoring of plant canopies is critically needed for understanding of terrestrial
ecosystem mechanics and biodiversity as well as capturing the short-to long-term responses …

Identifying the spectral signatures of invasive and native plant species in two protected areas of Pakistan through field spectroscopy

IM Iqbal, H Balzter, A Shabbir - Remote Sensing, 2021 - mdpi.com
Globally, biological invasions are considered as one of the major contributing factors for the
loss of indigenous biological diversity. Hyperspectral remote sensing plays an important role …

Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments

AS Streher, R da Silva Torres, LPC Morellato… - Remote Sensing of …, 2020 - Elsevier
Generalized assessments of the accuracy of spectroscopic estimates of ecologically
important leaf traits such as leaf mass per area (LMA) and leaf dry matter content (LDMC) …

Spectral feature selection and classification of roofing materials using field spectroscopy data

SH Samsudin, HZM Shafri… - Journal of Applied …, 2015 - spiedigitallibrary.org
Impervious surface discrimination and mapping are important in urban and environmental
studies. Confusion in discriminating urban materials using multispectral systems has led to …

Correlating Sentinel-2 MSI-derived vegetation indices with in-situ reflectance and tissue macronutrients in savannah grass

C Munyati, H Balzter, E Economon - International Journal of …, 2020 - Taylor & Francis
The application of vegetation indices is subject to sensor-dependent errors and uncertainty.
This study examines the accuracy of Sentinel-2 Multi-Spectral Instrument (MSI) imagery …