Investigating impacts of calibration methodology and irradiance variations on lightweight drone-based sensor derived surface reflectance products-Reference-Cited by-同舟云学术

Investigating impacts of calibration methodology and irradiance variations on lightweight drone-based sensor derived surface reflectance products

Published:2019-10-22 Issue: Volume: Page:
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Container-title:Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI
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Author:

Fawcett Dominic,Anderson Karen

Publisher

SPIE

Reference19 articles.

1. Northern Conifer Forest Species Classification Using Multispectral Data Acquired from an Unmanned Aerial Vehicle

2. Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects

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4. Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes

5. Field and Airborne Spectroscopy Cross Validation—Some Considerations

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1. Fundamental practices for drone remote sensing research across disciplines;Drone Systems and Applications;2023-01-01

2. Guidelines for calibration of uncrewed aircraft systems imagery;Open-File Report;2023

3. Perennial ryegrass biomass retrieval through multispectral UAV data;Computers and Electronics in Agriculture;2022-02

4. Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape;Environmental Research Letters;2020-12-01

5. Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites;Environmental Research Letters;2020-11-24