| Issue |
E3S Web Conf.
Volume 333, 2021
Regional Problems of Earth Remote Sensing (RPERS 2021)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 6 | |
| Section | Models and Methods of Remote Sensing Data Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202133301001 | |
| Published online | 21 December 2021 | |
Crop Yield Map Development Based on Satellite and UAV Data
1 Institute of Biophysics SB RAS, 660036 Krasnoyarsk, Russia
2 Siberian Federal University, 660041 Krasnoyarsk, Russia
* Corresponding author: irina.pugacheva@mail.ru
Agriculture is one of the promising areas for the introduction of remote sensing technologies. With its help, you can timely receive a wide range of dynamic information about the conditions for the crops growth and development and make the necessary adjustments to obtain the planned result. The paper presents the results of early forecasting of spring wheat yields based on Dove (PlanetScope) satellite data from Planet Labs and DJI P4 Multispectral unmanned data. The maps of the yield of spring wheat were constructed using satellite and unmanned data with a spatial resolution of 3 m and 5 cm, respectively. A statistical assessment of the inhomogeneity of the spectral optical characteristics of agricultural crops has been carried out. The degree of correlation dependence between the value of the integral of the index (NDVI, VARI, MSAVI2, ClGreen) and the yield in different periods of the growing season has been determined.
Key words: precision farming / yield / growing season / spring wheat / PlanetScope / DJI P4 Multispectral
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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