Full text loading...
-
Remote diagnostics of grain straw yield based on soil areal scenarios
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 17th International Conference on Geoinformatics - Theoretical and Applied Aspects, May 2018, Volume 2018, p.1 - 6
Abstract
Summary
The research results of the algorithm development for remote diagnostics of the terrestrial winter wheat yield of main and by-products based on soil areal scenarious are presented in this paper. The works were carried out in the difficult soil cover conditions of the Ukrainian Polissya and aimed at the field stage minimizing of remote research.
During the research on the basis of the irregular network of sensing points, it was found that from all calculated indexes the most informative for diagnosing the winter wheat productivity in the full maturity phase were NDSI and NDSVI, as well as albedo of 1, 6, 9, 11 and 12 Sentinel-2A satellite bands. Was found that in the case of soils range expanding, on which crop samples are selected, the diagnostic role of complex indices is slightly mitigated. In contrast, the values of ρTOA albedo of 11 and 12 bands are suitable for regression models constructing with satisfactory accuracy (0.41 ≤ r≤0.64). It was identified that separately from the soil scenario, the number of winter wheat productive ears was diagnosed in the best way using the values of the ρTOA albedo 9 band (0.49 ≤ r≤0.79). In the case of extending the range of soils, there is a slight decrease in the values of correlation coefficients and insignificant loss of predictive models accuracy of straw diagnosis — up to 3.2% (0.191 ton/ha). The total weight of straw within the studied area was 1333.97 ton (5.97 ton/ha).
© EAGE Publications BV