[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

K Berger, M Machwitz, M Kycko, SC Kefauver… - Remote sensing of …, 2022 - Elsevier
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

GH Mohammed, R Colombo, EM Middleton… - Remote sensing of …, 2019 - Elsevier
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …

Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science

A Porcar-Castell, Z Malenovský, T Magney… - Nature plants, 2021 - nature.com
For decades, the dynamic nature of chlorophyll a fluorescence (ChlaF) has provided insight
into the biophysics and ecophysiology of the light reactions of photosynthesis from the …

What is global photosynthesis? History, uncertainties and opportunities

Y Ryu, JA Berry, DD Baldocchi - Remote sensing of environment, 2019 - Elsevier
Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents

JB Féret, K Berger, F De Boissieu… - Remote Sensing of …, 2021 - Elsevier
Abstract Models of radiative transfer (RT) are important tools for remote sensing of
vegetation, allowing for forward simulations of remotely sensed data as well as inverse …

[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …

M Kganyago, C Adjorlolo, P Mhangara… - … and Electronics in …, 2024 - Elsevier
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …

From remotely sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory

Y Sun, L Gu, J Wen, C van Der Tol… - Global Change …, 2023 - Wiley Online Library
Solar‐induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted
during the light reactions of photosynthesis. The past two decades have witnessed an …

Expanding the role of social science in conservation through an engagement with philosophy, methodology, and methods

K Moon, DA Blackman, VM Adams… - Methods in Ecology …, 2019 - Wiley Online Library
Abstract The Special Feature led by Sutherland, Dicks, Everard, and Geneletti (Methods
Ecology and Evolution, 9, 7–9, 2018) sought to highlight the importance of “qualitative …

Linkages between stratospheric ozone, UV radiation and climate change and their implications for terrestrial ecosystems

JF Bornman, PW Barnes, TM Robson… - Photochemical & …, 2019 - pubs.rsc.org
Exposure of plants and animals to ultraviolet-B radiation (UV-B; 280–315 nm) is modified by
stratospheric ozone dynamics and climate change. Even though stabilisation and projected …

Proximal methods for plant stress detection using optical sensors and machine learning

AV Zubler, JY Yoon - Biosensors, 2020 - mdpi.com
Plant stresses have been monitored using the imaging or spectrometry of plant leaves in the
visible (red-green-blue or RGB), near-infrared (NIR), infrared (IR), and ultraviolet (UV) …