Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

By Jose A. Jiménez-Berni, Pablo J. Zarco-Tejada, Lola Suárez, Elías Fereres. IEEE Transactions on Geoscience and Remote Sensing, 2009

1,241 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/7d70899d77b3bf0c47a37fb094bf323d318f14be

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Citations in the corpus

Unmanned Aerial Vehicle for Remote Sensing Applications - A Review (2019, methodology): “…the other hand, could be useful in RS and mapping when being integrated with sensors acquiring information from other spectrum ranges (i.e., visible bands and hyperspectral bands), and thermal infrared data are also employed for various agricultural [41,42] and environmental applications [43,44].”
Lightweight unmanned aerial vehicles will revolutionize spatial ecology (2013, background): “© The Ecological Society of America accurate assessment of crop productivity (Berni et al. 2009; Guillen-Climent et al. 2012; Zarco-Tejada et al. 2012).”
Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments (2011, methodology): “) was used for retrieving various biophysical parameters and detecting water stress in orchard crops and the researchers concluded that quantitative multispectral remote sensing could be conducted with small UAS, although the area covered was limited by the endurance of the UAS [15,16].”
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture (2013, methodology): “For UAV remote sensing applications using rectangular images, simple balancing approaches are typically used [3,5]; and empirical line-based approaches are popular [4].”
Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure (2015, background): “It is also possible to carry out near-infrared remote sensing with UAVs using modified off-the-shelf digital cameras [19,21,23] or custom light-weight multi-spectral cameras [16,77,78] and future work should consider the potential of using such sensors for SFM mapping of canopy NDVI (Normalized Diff”
Robots for Environmental Monitoring: Significant Advancements and Applications (2012, background): “By simply changing their buoyancy, the floats rise and lower through the water column.”
Ecohydrological advances and applications in plant-water relations research: a review (2011, background): “2004) and high-resolution remote sensing technologies for assessing vegetation water stress (Berni et al. 2009) greatly enhance our ability to integrate data from a range of spatial scales.”
Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring (2010, background): “Furthermore, UAVs can be flown at lower altitudes with greater safety than manned aircraft, thereby increasing spatial resolution [8-17].”
High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials (2015, methodology): “For example, [23,27,28] monitored several aspects of vegetation by using miniature thermal cameras, while [29–31] used narrow-band multispectral imagery for crop monitoring.”