Estimation of the spatial distribution of spring barley yield using ground-based and satellite spectrophotometric data

Authors: A P Shevyrnogov(1), I Yu Botvich(1), D V Yemelianov(1), A A Larko(1), V K Ivchenko(2)and T N Demianenko(2)

1 – Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Akademgorodok, Krasnoyarsk 660036, Russia
2 – Krasnoyarsk State Agrarian University, 660049, Krasnoyarsk, Russia

Abstract: The article presents a method for estimating the spatial distribution of spring barley yield, based on the use of optical ground and satellite spectral data (PlanetScope data with a spatial resolution of 3 meters). This approach is highly relevant for the development of precision agriculture technologies. Yield mapping is carried out on the basis of data on the spatial distribution of the actual yield and the spatial distribution of the spectral optical characteristics. The method’s characteristic feature is the use of the integral values of vegetation indices (NDVI, MSAVI2, ClGreen) at various stages of crop development. The method was tested on the basis of stationary field experience, where traditional agriculture (deep plowing) is compared with resource-saving technologies (subsurface and surface plowing, and direct seeding with zero tillage).

Introduction: Yield mapping is an element of the precision agriculture system, making it possible to determine the heterogeneity of one of the most important indicators – crop yield [1]. A map of crop yield is the basis for the differentiated application of fertilizers in precision agriculture [2] It can be used to identify areas with low yield for a focused study of the causes of its decrease in this area of the field and taking appropriate measures to solve this problem [3]. The creation of digital field maps is possible using satellite data of high spatial and temporal resolution. Currently, continuous monitoring of crops with high spatial resolution (3 meters) and daily measurements are provided by the world’s largest satellite constellation PlanetScope of the Planet company [4]. The system provides data making it possible to evaluate the condition of crops during the entire growing season. The purpose of the study is to develop a method for constructing yield maps using PlanetScope satellite data.

The PSR+ Spectroradiometer was one of the instruments used during this study:

• Fast, full-spectrum UV-VIS-NIR measurements (350 – 2,500 nm)
• High Resolution Field Portable Spectroradiometer with 512 element Si array and two 256 element extended InGaAs arrays
• Various optics ranging from 1° to 25° for reflectance, radiance and irradiance measurements

Field-based operation:
• The PSR+ spectroradiometer is powered by batteries and connected to a rugged tablet which provides GPS, photo tagging, and voice notes
• Our self-developed software allows in-field mineral identification and classification
• Usage of handheld contact probe allows field measurements on outcrops or mapping open pits even at cloudy conditions

Laboratory operation:
• Best signal-to-noise ratio for improved reflectance values by using full range tungsten lamps
• Detailed analysis of field samples in order to build Arctic spectral libraries from natural covers

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