Application of space photography methods for monitoring of agricultural lands as an example of countries of the world and Ukraine
DOI:
https://doi.org/10.33730/2310-4678.3.2022.266563Keywords:
agroecology, soil, organic farming, agroecosystem, vegetationAbstract
It has been established that with the development of society, the growth of the impact of human actions on the agro-ecological system of the Earth, and at the same time the satisfaction of its life activity, there is a need to apply new methods in the management of natural resources. Today, space photography, which is carried out through various carriers from space with the support of filming equipment, is the primary means of obtaining information. It is highlighted that information from space and photo-aerial imaging is sufficiently used in cartography, when solving problems in all areas of science and technology and the formation of geo-information systems. Every year, the volume of products related to mapping and geoinformation expands, new areas for using information from space surveys appear. The specificity of space surveying for several decades is the acquisition of data from aerial surveys with very high spatial resolution (<1 m), the growth in the spectral resolution of surveying systems and the implementation of spectral surveying. It is highlighted that by the model of remote sensing of the Earth we understand the system of receiving and converting input signals of the electromagnetic spectrum into outputs that form images or point output data about objects on the terrain. It is emphasized that in the last decades, remote sensing of the Earth is especially used to obtain informative data about the agro-ecological surface of the earth. Natural characteristics of soil types, vegetation, etc. were obtained with the help of remote sensing of the Earth. Many countries of the world use the information obtained with the help of aerospace means of remote sensing of the Earth quite widely, on its basis they successfully search for minerals, assess the rural potential of regions and countries, conduct analysis of agricultural lands, distinguish types and types of agricultural crops, implement yield forecasts, monitor the condition soils and pastures, perform its monitoring. The crisis of a soil science nature in Ukraine is caused by the functioning of the administrative-command economy in the past.
References
Antonenko, V.S. (2002). Ahrometeorolohichnyy monitorynh posiviv v Ukrayini aerokosmichnymy metodamy [Agrometeorological monitoring of positions in Ukraine by aerospace methods]. Extended abstract of doctor’s thesis. Odesa [in Ukrainian].
Bakan, G. M., Kussul, N.N. (1996). Alhorytm nechitkoi elipsoidnoi filtratsii stanu statychnoho obiekta [Fuzzy ellipsoidal filtering algorithm of static object state]. Problemy upravlinnia ta informatyka. (Avtomatyka) — Management problems and informatics (Automatics), 5, 77–92 [in Ukrainian].
Boryan, C., Yang, Z., Mueller, R., & Craig, M. (2011). Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program. Geocarto International, 26 (5), 341–358. DOI: https://doi.org/10.1080/10106049.2011.562309 [in English].
Burshtynska, H.V., Stankevych, S.A. (2013). Systema aerokosmichnoho znimannia: pidruchnyk [Aerospace Shooting System: textbook]. Lviv: Polytechnic Publishing House [in Ukrainian].
Havrylko, Ye.V. (2014). Ekonomichnyi monitorynh zemel z vykorystanniam suputnykovykh telekomunikatsiinykh system i merezh [Economic monitoring of Land using satellite telecommunication systems and networks]. Zviazok — Communication, 5, 3–5 [in Ukrainian].
Hulko, O.R., Perovych, L.M., Ludchak, O.Yu. (2018). Analiz svitovoho dosvidu vykorystannia kosmichnykh metodiv monitorynhu vykorystannia zemel silskohospodarskoho pryznachennia [Analysis of world experience in the use of space methods for monitoring the use of agricultural land]. Suchasni dosiahnennia heodezychnoi nauky i vyrobnytstva: zbirnyk naukovykh prats Zakhidnoho heodezychnoho tovarystva UTHK — Modern achievements of geodetic science and production: collection of scientific works of the Western geodetic society of the Ukrainian society of geodesy and cartography, 1 (35). Lviv, 64–70 [in Ukrainian].
Deschamps, B., McNairn, H., Shang, J., & Jiao, X. (2012). Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier. Canadian Journal of Remote Sensing, 38 (1), 60–68. DOI: https://doi.org/10.5589/m12-012 [in English].
Dorozhinskiy, O.L., Burshtynska, H.V. & Hlotov, V.M. (2016). Heomatyka v ekolohichnomu monitorynhu ta otsintsi zahrozlyvykh sytuatsii: monohrafiia [Geomatics in environmental monitoring and assessment of threatening situations: monograph]. Lviv: Polytechnic Publishing House [in Ukrainian].
Chang, J., Hansen, M. C., Pittman, K., Carroll, M., & DiMiceli, C. (2007). Corn and soybean mapping in the United States using MODIS time-series data sets. Agronomy Journal, 99 (6), 1654–1664. DOI: https://doi.org/10.2134/agronj2007.0170 [in English].
Zholobak, H.M. (2010). Vykorystannia metodiv dystantsiinoho zonduvannia dlia monitorynhu ahrarnykh resursiv Ukrainy [Use of remote sensing methods for monitoring agricultural resources of Ukraine]. Kosmichna nauka i tekhnika — Space science and technology, 16 (6), 16–27 [in Ukrainian].
Pal, M., Mather, P.M. (2003). An assessment of the effectiveness of decision tree methods for land cover classification. Remote sensing of environment, 86 (4), 554–565. DOI: https://doi.org/10.1016/S0034-4257-(03)00132-9 [in English].
Song, C., Woodcock, C.E., Seto, K.C., Lenney, M.P., Macomber, S.A. (2001). Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? Remote sensing of Environment, 75 (2), 230–244. DOI: https://doi.org/10.1016/S0034-4257(00)00169-3 [in English].
Fisette, T., Chenier, R., Maloley, M., Gasser, P.Y., Huffman, T., White, L., Elgarawany, A. (2006). Methodology for a Canadian agricultural land cover classification. Proceedings of the 1st International Conference on Object-based Image Analysis. Austria: Salzburg University, 4–5 [in English].
Shelestov, A.Iu., Yailimov, B.Ya. (2017). Stan monitorynhu faktychnoho vykorystannia zemel silskohospodarskoho pryznachennia u providnykh krainakh na osnovi suputnykovykh danykh [State of monitoring of actual use of agricultural land in leading countries on the basis of satellite data]. Ukrainskyi zhurnal dystantsiinoho zonduvannia Zemli — Ukrainian Earth Remote Sensing Magazine, 12, 59–66 [in Ukrainian].
Downloads
Published
Issue
Section
License
- The authors reserve the right to authorship their work and pass the journal the right to publish this work under a Creative Commons Attribution License license, which allows other persons to freely distribute the published work with the obligatory The authors of the original work and the first publication of this magazine.
- The authors have the right to make independent additional agreements on the nonexclusive dissemination of the work in the form in which it was published by this magazine (for example, to post work in the company's electronic storage or to publish as a monograph) , subject to the first publication of the link to this journal.
- Journal policy allows and encourages the placement of authors on the Internet (for example, in the repositories of institutions or on personal websites) manuscript work as to the presentation of this manuscript to the editorial board and during its editorial processing, as it contributes to The productive scientific discussion and positively affects the efficiency and dynamics of citation published work (see The Effect of Open Access).
