[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 …
Thermal imaging: The digital eye facilitates high-throughput phenoty** traits of plant growth and stress responses
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 …
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
As a specific forest community in tropical and subtropical coastal zones, mangrove has
unique ecological functions and great social and economic value. Accurate mangrove …
unique ecological functions and great social and economic value. Accurate mangrove …
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …
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 …
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
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 …
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
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 …
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) …
critical to improve parameterization and evaluation of terrestrial biosphere models (TBMs) …