Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review

G Lassalle - Science of the Total Environment, 2021 - Elsevier
This review outlines the advances achieved in monitoring natural and anthropogenic plant
stressors by hyperspectral remote sensing over the last 50 years. A broad diversity of …

Monitoring oil contamination in vegetated areas with optical remote sensing: A comprehensive review

G Lassalle, S Fabre, A Credoz, D Dubucq… - Journal of hazardous …, 2020 - Elsevier
The monitoring of soil contamination deriving from oil and gas industry remains difficult in
vegetated areas. Over the last decade, optical remote sensing has proved helpful for this …

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 …

Detection of early plant stress responses in hyperspectral images

J Behmann, J Steinrücken, L Plümer - ISPRS Journal of Photogrammetry …, 2014 - Elsevier
Early stress detection in crop plants is highly relevant, but hard to achieve. We hypothesize
that close range hyperspectral imaging is able to uncover stress related processes non …

Calibration of hyperspectral close-range pushbroom cameras for plant phenoty**

J Behmann, AK Mahlein, S Paulus, H Kuhlmann… - ISPRS Journal of …, 2015 - Elsevier
Hyperspectral sensors are able to detect biological processes of plants which are invisible to
the naked eye. Close-range cameras in particular support the identification of biotic and …

Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease

X Zhang, BA Vinatzer, S Li - Scientific Reports, 2024 - nature.com
Recent advancements in hyperspectral imaging (HSI) for early disease detection have
shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) …