Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 99-110
Information tools for distributed data analysis of satellite monitoring of plant areas during special examinations
V.P. Savorskiy
1, 2 , A.V. Kashnitskii
2 , O.Yu. Panova
1 1 V.A. Kotelnikov Institute of Radioengineering and Electronics RAS, Fryazino Branch, Fryazino, Moscow region, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 24.07.2019
DOI: 10.21046/2070-7401-2019-16-5-99-110
The work is devoted to the development of information tools to support specialized services needed to identify areas of illicit crop cultivation according to satellite multispectral observations. The development of these tools is based on the requirements objectively determined by the peculiarities of methods of detection of such sites by means of satellite monitoring. The developed set of tools was applied to the study of areas of technical hemp crops by means of satellite monitoring, which was a model culture for the study of spectral signatures of areas of drug-containing hemp. The statistical estimates, which were obtained as a result of the application of the developed tools, made it possible to evaluate the effectiveness of using multispectral and hyperspectral signatures, as well as spectral indices. Namely, they allowed evaluating the differences between technical hemp crops and spring grain crops (typical background culture of agricultural areas of the chernozem zone of Russia) spectral signatures during the growing season. As a measure of the effectiveness of the detection of hemp crops, the Jeffreys – Matushita distance between sets of spectral characteristics values, which describes the spectral characteristics in the visible and near-IR ranges of technical hemp and spring grains observed from satellites in the period from May to September, were used. As spectral characteristics, the spectral reflectances on TOA (SR) and spectral indices (SI) are used. According to the results of the statistical analysis of satellite observation data, which were registered by the ETM + Landsat7 and MSI Sentinel-2 instruments, it was established that the NDCI SI (introduced in the work) and NDVI can consistently detect and/or distinguish the hemp and spring crops during the majority of the growing season, i.e. from June to September. In addition, a high stability of NDCI to the interannual variability of the spectral characteristics of agricultural covers was established compared with NDVI.
Keywords: satellite monitoring, illicit crop cultivation, spectral signatures, Jeffreys – Matushita distance
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