APPLICATION OF HYPERSPECTURAL IMAGES AND GROUND DATA FOR PRECISION FARMING

• Main Authors: Y. Akhtman, E. Golubeva, O. Tutubalina, M. Zimin
• Format: Article
• Language: English
• Published: Lomonosov Moscow State University 2017-12-01
• Series: Geography, Environment, Sustainability
• Subjects: remote sensing data; hyperspectral images; precision farming; spectral characteristics; agricultural crops
• Online Access: https://ges.rgo.ru/jour/article/view/349

Crops, like other plants, clearly react to various changes in both natural and anthropogenic factors (herbicides, pesticides, fertilizers, etc.), which affects the amount of phytomass, its fractional composition, and developmental and physiological state of the plant, and, accordingly, is reflected in the spectral image. Data on spectral characteristics of plants allow users to determine quickly and with a high degree of reliability various indicators of the state of agricultural crops and thus improve the efficiency of agrotechnical practices and the use of land resources and facilitate the implementation of the precision farming concept. Reflective properties of plants (and hence crops) carry a large amount of meaningful information about the species, stage of development, and morpho-physiological state, allowing determination of the interrelations between the spectrometric characteristics and temporal physiological parameters. The paper presents the results of monitoring of the state of winter wheat and corn in experimental fields in southern and central Russia in the spring and summer of 2016.