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[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …
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 …
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
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 …
into the biophysics and ecophysiology of the light reactions of photosynthesis from the …
What is global photosynthesis? History, uncertainties and opportunities
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 …
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
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 …
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 …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
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
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 …
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
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 …
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
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 …
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) …
visible (red-green-blue or RGB), near-infrared (NIR), infrared (IR), and ultraviolet (UV) …