Towards global data products of Essential Biodiversity Variables on species traits

WD Kissling, R Walls, A Bowser, MO Jones… - Nature ecology & …, 2018 - nature.com
Abstract Essential Biodiversity Variables (EBVs) allow observation and reporting of global
biodiversity change, but a detailed framework for the empirical derivation of specific EBVs …

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 …

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 …

Quantifying forest canopy traits: Imaging spectroscopy versus field survey

GP Asner, RE Martin, CB Anderson… - Remote Sensing of …, 2015 - Elsevier
Spatial and temporal information on plant functional traits are lacking in ecology, which limits
our understanding of how plant communities and ecosystems are changing. This problem is …

An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities

CM Lee, ML Cable, SJ Hook, RO Green… - Remote Sensing of …, 2015 - Elsevier
Abstract In 2007, the NASA Hyperspectral InfraRed Imager (HyspIRI) mission was
recommended in Earth Science and Applications from Space: National Imperatives for the …

[图书][B] Remote sensing of vegetation: principles, techniques, and applications

HG Jones, RA Vaughan - 2010 - books.google.com
Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

Crop phenotyping in a context of global change: What to measure and how to do it

JL Araus, SC Kefauver, O Vergara‐Díaz… - Journal of Integrative …, 2022 - Wiley Online Library
High‐throughput crop phenotyping, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenotyping not only facilitates …

Integrating airborne hyperspectral, topographic, and soil data for estimating pasture quality using recursive feature elimination with random forest regression

RR Pullanagari, G Kereszturi, I Yule - Remote Sensing, 2018 - mdpi.com
Accurate and efficient monitoring of pasture quality on hill country farm systems is crucial for
pasture management and optimizing production. Hyperspectral imaging is a promising tool …

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data

A Ramoelo, MA Cho, R Mathieu, S Madonsela… - International journal of …, 2015 - Elsevier
Land use and climate change could have huge impacts on food security and the health of
various ecosystems. Leaf nitrogen (N) and above-ground biomass are some of the key …

Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor

A Ramoelo, AK Skidmore, MA Cho, M Schlerf… - International journal of …, 2012 - Elsevier
The regional mapping of grass nutrients is of interest in the sustainable planning and
management of livestock and wildlife grazing. The objective of this study was to estimate …