Russian Federation
Russian Federation
Russian Federation
This article discusses the algorithm for assessing the effectiveness of using remote sensing materials to solve various tasks of land monitoring in order to optimize the process of planning activities for monitoring land and its information support. Based on space images, the authors evaluate the natural-resource potential of the Lyubertsy district of the Moscow Region.
land monitoring, remote sensing, expert evaluation, national-resource potential, ecology
1. Limonov A.N., Gavrilova L.A. Fotogrammetriya i distancionnoe zondirovanie. M.: Akademicheskiy proekt, 2016. 296 s.
2. Sizov A.P. Monitoring i ohrana gorodskih territoriy. M.: Izdatel'skiy centr «Akademiya», 2016. 224 s.
3. Shovengerdt R.A. Distancionnoe zondirovanie. Modeli i metody obrabotki izobrazheniy. Chast' 1. M.: Tehnosfera, 2010. 560 s.
4. Malinnikov V.A., Belenko V.V., Zelenkov V.V. eksperimental'nye issledovaniya tematicheskogo deshifrirovaniya kosmicheskih izobrazheniy dlya celey inzhenerno-ekologicheskih izyskaniy zastraivaemyh territoriy / Estestvennye i tehnicheskie nauki № 5 (67). M.: OOO «Izdatel'stvo «Sputnik+», 2013. S. 182-187.
5. Cygankov D.N., Sysenko V.I. Primenenie dannyh distancionnogo zondirovaniya dlya monitoringa ispol'zovaniya zemel' sel'skohozyaystvennogo naznacheniya / Uchenye zapiski. Elektronnyy nauchnyy zhurnal Kurskogo gosudarstvennogo universiteta № 2. M.: Kurskiy gosudarstvennyy universitet, 2012. S. 304-310.
6. Ufimcev A.E., Ermak A.A. Ispol'zovanie dannyh distancionnogo zondirovaniya Zemli pri organizacii racional'nogo zemlepol'zovaniya / Vestnik Yugorskogo gosudarstvennogo universiteta № 3(34). M.: Yugorskiy gosudarstvennyy universitet, 2014. S. 70-73.
