Review of optical-based remote sensing for plant trait map**

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 …

[HTML][HTML] Thermal infrared remote sensing of vegetation: Current status and perspectives

E Neinavaz, M Schlerf, R Darvishzadeh… - International Journal of …, 2021 - Elsevier
Vegetation plays a vital role in the ecological functioning of terrestrial and coastal
ecosystems. Remote sensing generally provides timely and accurate information to manage …

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

G Tagliabue, M Boschetti, G Bramati, G Candiani… - ISPRS Journal of …, 2022 - Elsevier
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

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 …

Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content

JGPW Clevers, L Kooistra - IEEE Journal of selected topics in …, 2011 - ieeexplore.ieee.org
Plant stress is often expressed as a reduction in amount of biomass or leaf area index (LAI).
In addition, stress may affect the plant pigment system, influencing the photosynthetic …

Estimation of vegetation water content using hyperspectral vegetation indices: A comparison of crop water indicators in response to water stress treatments for summer …

F Zhang, G Zhou - BMC ecology, 2019 - Springer
Background Vegetation water content is one of the important biophysical features of
vegetation health, and its remote estimation can be utilized to real-timely monitor vegetation …

Crop phenoty** 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 phenoty**, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenoty** not only facilitates …

Tree species classification using plant functional traits from LiDAR and hyperspectral data

Y Shi, AK Skidmore, T Wang, S Holzwarth… - International Journal of …, 2018 - Elsevier
Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …

A lightweight hyperspectral map** system and photogrammetric processing chain for unmanned aerial vehicles

J Suomalainen, N Anders, S Iqbal, G Roerink… - Remote Sensing, 2014 - mdpi.com
During the last years commercial hyperspectral imaging sensors have been miniaturized
and their performance has been demonstrated on Unmanned Aerial Vehicles (UAV) …

Spaceborne imaging spectroscopy for sustainable agriculture: Contributions and challenges

TB Hank, K Berger, H Bach, JGPW Clevers… - Surveys in …, 2019 - Springer
Agriculture faces the challenge of providing food, fibre and energy from limited land
resources to satisfy the changing needs of a growing world population. Global megatrends …