A.D. Gavrilov1, A.A. Pilyakin2, M.V. Malinin3

1–3 A.F. Mozhaisky Military Academy (St. Petersburg, Russia)
1 gawrilow1950@yandex.ru, 2 alan.veyck@yandex.ru

Remote sensing of the Earth, including aerospace techniques, is a powerful tool for studying and assessing natural resources, particularly agricultural land. It provides increased detail, versatility and accelerated results, reducing time and cost.

Agricultural land, due to its distinct boundary and unique characteristics, can be easily studied using remote sensing techniques. Satellite data provides information on topography, vegetation, soils, and more. These data play an important role in assessing the utilization of agricultural land.

There are a number of spacecraft involved in monitoring agricultural land. Remote sensing satellites such as Landsat, Terra, ALOS and others provide high quality images and information about the Earth's surface. Thanks to regular surveys, they ensure promptness, objectivity and independence of data.

Landsat satellites have a long history of observations and provide a wealth of useful data on crops and land-use change. A number of remote sensing satellites provide free access to high quality satellite data.

Effective utilization of remotely sensed data requires the development of processing algorithms. The development of such methods will improve the accuracy and objectivity of land-use information. This is an important step towards the creation of overview maps of agricultural land and the development of automated technologies for processing satellite observation data.

Taking into account the world experience and modern satellite systems, the development of such technologies seems promising and plays an important role in monitoring agricultural land. Therefore, it is necessary to continue to improve the ways of using Earth remote sensing for sustainable agricultural development.

Gavrilov A.D., Pilyakin A.A., Malinin M.V. Application of remote sensing spacecraft in the survey of the earth's surface. Science Intensive Technologies. 2023. V. 24. № 7. P. 32−38. DOI: https://doi.org/10.18127/ j19998465-202307-04 (in Russian)

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