Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

By Caroline M. Gevaert, Juha M. Suomalainen, Jing Tang, Lammert Kooistra. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015

329 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/865bd8e2230abe300a8e34b15c4eb0f5a00a6421

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Global and Planetary Change

In Media Technology

Citations in the corpus

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification (2017, background): “This makes hyperspectral images very suitable for land-cover classification, which is a key technique in many real-world remote sensing applications, such as mineral exploration [1], agriculture [2], urban planning [3], surveillance [4], defense [5], and many more [6].”
Unmanned Aircraft System (UAS) Technology and Applications in Agriculture (2019, methodology): “This method of imaging can be useful if very specific wavelengths of light need to be measured independently—often detecting light emitted from particular biomolecules such as chlorophyll [16,27]; xanthophyll [83]; mesophyll [82]; and carotenoids [16].”
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (2017, background): “However, the major limitations of using the currently available satellite sensors are the high cost, the lack of spatial resolution for the identification of desirable traits, the risk of cloudy scenes and the long revisit periods (Issei et al., 2010; Gevaert et al., 2015).”
Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images (2018, background): “…Texas A&M AgriLife Research and Extension Center, 10345 TX-44, Corpus Christi, TX 78406, USA 4 USDA-Agricultural Research Service, 3103 F&B Road, College Station, TX 77845, USA Keywords Cotton germination Unmanned aircraft system Image processing Orthomosaics Ultrahigh spatial resolution Leaf…”
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification (2022, methodology): “With its abundant information, an HSI can be used for various purposes, such as precision agriculture [2], biomedical imaging [3], mineral exploration [4], food safety [5], and military reconnaissance [6].”