[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 …

Thermal imaging: The digital eye facilitates high-throughput phenoty** traits of plant growth and stress responses

T Wen, JH Li, Q Wang, YY Gao, GF Hao… - Science of The Total …, 2023 - Elsevier
Plant phenoty** is important for plants to cope with environmental changes and ensure
plant health. Imaging techniques are perceived as the most critical and reliable tools for …

Enhanced mangrove vegetation index based on hyperspectral images for map** mangrove

G Yang, K Huang, W Sun, X Meng, D Mao… - ISPRS Journal of …, 2022 - Elsevier
As a specific forest community in tropical and subtropical coastal zones, mangrove has
unique ecological functions and great social and economic value. Accurate mangrove …

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 …

[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery

A Guo, H Ye, W Huang, B Qian, J Wang, Y Lan… - … and Electronics in …, 2023 - Elsevier
The accurate estimation of Leaf area index (LAI) is of great importance for evaluating crop
growth in precision agriculture. Although previous studies have confirmed great advantages …

From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data

E Cherif, H Feilhauer, K Berger, PD Dao… - Remote Sensing of …, 2023 - Elsevier
Large-scale information on several vegetation properties ('plant traits') is critical to assess
ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …

Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model

J Li, NK Wijewardane, S Liu, Z Yan, Z Wang, S Serbin, M Visser… - Remote Sensing of …, 2023 - Elsevier
Accurate understanding of the variability in foliar physiological traits across landscapes is
critical to improve parameterization and evaluation of terrestrial biosphere models (TBMs) …