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2 Journal of Ecological Engineering

2 2020

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Using Vegetative Indices to Quantify Agricultural Crop Characteristics

Kokhan Svitlana, Vostokov Anatoliy

Journal of Ecological Engineering

2020

Vol. 21, nr 4

120--127

In this study, the winter wheat aboveground biomass (AGB), leaf area index (LAI) and leaf nitrogen concentration (LNC) were estimated using the vegetation indices, derived from a high spatial resolution Pleiades imagery. The AGB, LAI and LNC estimation equations were established between the selected VIs, such as NDVI, EVI and SAVI. Regression models (linear and exponential) were examined to determine the best empirical regression equations for estimating the crop characteristics. The results showed that all three vegetation indices provide the AGB, LAI and LNC estimations. The application of NDVI showed the smallest value of RMSE for the aboveground biomass estimation at stem elongation and heading of winter wheat. EVI gave the best significant estimation of LNC and showed better results to quantify winter wheat vegetation characteristics at stem elongation phase. This study demonstrated that Pleiades high spatial resolution imagery provides in-situ crop monitoring.

Improved Approach to the Development of the Crop Monitoring System Based on the Use of Multi-Source Spatial Data

Kokhan Svitlana, Dorozhynskyy Oleksandr, Burshtynska Khrystyna, Vostokov Anatoliy, Drozdivskyi Oleg

Journal of Ecological Engineering

2020

Vol. 21, nr 7

108--114

The study describes the stages of conceptual modeling to provide a crop monitoring system based on the multisource spatial data to assess the state of agricultural crops. The process of developing geodatabase models, which is the basis of the crop monitoring system, considered the construction of a set of diagrams of the Unified Modeling Language (UML). The UML Sequence diagrams were developed to describe the specific properties of crop monitoring system components and their behavior. The developed data flow diagram showed the data flow in the crop monitoring system and described the processes involved in the system for the transfer of data from the source files to the geodatabase. The approach presented in the study can be suggested as a methodology that is suitable for a wide range of developers of monitoring systems.