Space Technologies in Agri-Environmental Monitoring System

Abstract

The contemporary development of the remote space survey syst ems and elements of geoinformation t echnolo gies o ffers the fundamentally new possibilities of control, forecasting and interpretation of the data obtained from agroecological monitoring. Aim. To describe natural and climatic conditions of the various zones within the territory of Ukraine, its agricultural acquirement and risk of the soils’ erosive degradation manifestations in the meaning of climate changes. To determine the factors infl uencing upon the spectral characteristics of the eroded soils for their identifi cation, deciphering, and also the cultivated lands and land tenure systems degradatio n monitoring according to satellite data. Methods. The logical model of water erosion determination and identifi cation according to the data of the Earth remote sensing (ERS) of high spatial resolution is developed on the basis of classifi cation in basic deciphering signs and the procedure of molding of the training samples forming. The materials of the Landsat 8, SPOT, ASTER and RapidEye space surveys, map materials and data of full-scale ground observations on the test objects were used for identifi cation of the processes of sheet and linear erosion. The soil erosion was determined according to two approaches. The fi rst one is based on the plowed soil and the second – on soil covered with plants. The soil erosion class was determined according to the spectral characteristics and humus content, while gully rate – by reference to gullies’ length and square. Results. The humus content in so il was proposed to be determined according to the spatial distribution of spectral characteristics within the limits of uniform regions and corresponding mathematical-statistical models. The opportunities of linear and sheet erosion classifi cation according to the ERS data, and also their use in the system of monitoring and evaluating the ecological state of agrolandscapes and land tenure systems are shown. C onclus ions. The space mo nitoring data of the soils erosive degradation and agrolandscapes in whole provide the opportunity of more effective use of soil resources due to the strategic determination of degradation processes with the subsequent planning and workout the measures for th e optimization of the erosive dangerous agrolandscapes structure, and also introduction of the ground water-guarding systems of soil management.