Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics

A Lausch, S Erasmi, DJ King, P Magdon, M Heurich - Remote Sensing, 2016 - mdpi.com
Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …

[HTML][HTML] Satellite prediction of forest flowering phenology

DJ Dixon, JN Callow, JMA Duncan… - Remote Sensing of …, 2021 - Elsevier
Abstract Knowledge of flowering phenology is essential for understanding the condition of
forest ecosystems and responses to various anthropogenic and environmental drivers …

Modelling water stress in a Shiraz vineyard using hyperspectral imaging and machine learning

K Loggenberg, A Strever, B Greyling, N Poona - Remote Sensing, 2018 - mdpi.com
The detection of water stress in vineyards plays an integral role in the sustainability of high-
quality grapes and prevention of devastating crop loses. Hyperspectral remote sensing …

Predicting spatial distribution of key honeybee pests in Kenya using remotely sensed and bioclimatic variables: Key honeybee pests distribution models

DM Makori, AT Fombong, EM Abdel-Rahman… - … International Journal of …, 2017 - mdpi.com
Bee keeping is indispensable to global food production. It is an alternate income source,
especially in rural underdeveloped African settlements, and an important forest conservation …

Uncertainty assessment of hyperspectral image classification: Deep learning vs. random forest

M Shadman Roodposhti, J Aryal, A Lucieer, BA Bryan - Entropy, 2019 - mdpi.com
Uncertainty assessment techniques have been extensively applied as an estimate of
accuracy to compensate for weaknesses with traditional approaches. Traditional …

Pear flower cluster quantification using RGB drone imagery

Y Vanbrabant, S Delalieux, L Tits, K Pauly… - Agronomy, 2020 - mdpi.com
High quality fruit production requires the regulation of the crop load on fruit trees by reducing
the number of flowers and fruitlets early in the growing season, if the bearing is too high …

[HTML][HTML] Mapping nectar-rich pollinator floral resources using airborne multispectral imagery

SL Barnsley, AA Lovett, LV Dicks - Journal of Environmental Management, 2022 - Elsevier
Wild pollinator numbers are known to be positively associated with amounts of flower-rich
habitat at landscape level. Increasing floral resources can be particularly beneficial in …

Flower mapping in grasslands with drones and deep learning

J Gallmann, B Schüpbach, K Jacot, M Albrecht… - Frontiers in plant …, 2022 - frontiersin.org
Manual assessment of flower abundance of different flowering plant species in grasslands is
a time-consuming process. We present an automated approach to determine the flower …

Imaging from manned ultra-light and unmanned aerial vehicles for estimating properties of spring wheat

G Mozgeris, D Jonikavičius, D Jovarauskas… - Precision …, 2018 - Springer
This study investigates an imaging system based on a Rikola hyperspectral (HSI) and Nikon
D800E (CIR) cameras installed on a manned ultralight aircraft Bekas Ch-32 for applications …

Robinia pseudoacacia L. Flowers Analyzed by Using An Unmanned Aerial Vehicle (UAV)

C Carl, D Landgraf, M Van der Maaten-Theunissen… - Remote Sensing, 2017 - mdpi.com
Tree flowers are important for flower–insect relationships, seeds, fruits, and honey
production. Flowers are difficult to analyze, particularly in complex ecosystems such as …