Russian Federation
UDK 528.88 Применение дистанционного зондирования
This article presents an analysis of the impact of natural factors on the development of vegetation cover on agricultural lands in Dong Nai Province, based on multispectral Landsat 8 data and SRTM radar data. The study includes site selection, satellite image processing, and statistical analysis of key indicators. Special attention is given to correlations between NDVI, NDMI, land surface temperature (LST), and terrain characteristics such as elevation, slope, and aspect. It was found that moisture and surface temperature play the most significant role in maintaining and developing vegetation cover in the study area, while terrain factors such as elevation, slope, and aspect have little or no influence. The results allow for the identification of optimal ranges of natural factors to improve the condition of agricultural lands and offer recommendations for their sustainable use and development.
agricultural lands, NDVI, NDMI, aspect, land surface temperature (LST), Euclidean distances, remote sensing
1. Departament prirodnyh resursov i okruzhayuschey sredy provincii Dongnay. Otchet o plane zemlepol'zovaniya v 2010 i 2020 godu.
2. Dao Dyk Hyong. (2021). Vliyanie urbanizacii na izmeneniya v zemlepol'zovanii v rayone Trangbom, provinciya Dongnay. Doktorskaya dissertaciya, Universitet Nong Lam, Universitet Hyue.
3. Dao Zuy Khan' i Nguen Chong Chyong Son. (2019). Issledovanie i prognozirovanie izmeneniy v zemlepol'zovanii v provincii Dongnay s pomosch'yu cepey Markova - CA i GIS. V'etnamskiy zhurnal sel'skohozyaystvennyh nauk i tehnologiy, 11 (108), 151–158.
4. Hyuin' Van Chuong, Chau Vo Trung Tong i Hyuin' Kong Hung. (2017). Issledovanie i prognoz izmeneniy v zemlepol'zovanii v gorode Nyachang, provinciya Khan'hoa s primeneniem markovskoy i GIS-cepey. Zhurnal sel'skohozyaystvennyh nauk i tehnologiy, Universitet Nong Lam, Universitet Hyue, 1(1), 37-46.
5. Khuk Van Kui, Tran Kuang Bao, Fam Van D'en, Vo Day Hay, Nong Ngok Duy, Tran Thi Thu Ha, Ha Thi Mung i Ngo Ngok Tuyen. (2017). Primenenie modeli cepi Markova dlya prognozirovaniya evolyucii estestvennyh shirokolistvennyh vechnozelenyh lesov v Severo-Central'nom V'etname. Zhurnal sel'skogo hozyaystva i razvitiya sel'skih rayonov, period 1, 1-11.
6. Nguen Kuok Hau, Fan Van Tuan i Vo Kuang Min'. (2021). Primenenie Markova v dolgosrochnom prognozirovanii zemlepol'zovaniya v sel'skom hozyaystve - tematicheskoe issledovanie v provincii Vin'long do 2030 goda. Zhurnal pochvovedeniya, 64, 97-102.
7. Murasheva A.A., Vu T.H. Ekonomicheskaya effektivnost' ispol'zovaniya zemel' sel'skohozyaystvennogo naznacheniya v Primorskom krae Rossii i v del'te reki Krasnoy V'etnama // Ekonomika sel'skogo hozyaystva Rossii. 2020. № 6. S. 114-117.
8. Murasheva A.A., Chan T.H.I. Upravlenie zemlyami lesopromyshlennogo kompleksa Leningradskoy oblasti: tekuschee sostoyanie i perspektivy // Finansovye rynki i banki. 2020. № 1. S. 12-17.
9. Mel'nikova A.A., Murasheva A.A., Stolyarov V.M., Kamov L.P. / Monitoring zemel': problemy i sovershenstvovanie informacionnogo obespecheniya // Mezhdunarodnyy sel'skohozyaystvennyy zhurnal. 2019. № 6. S. 46.
10. Komarov S.I., Lepehin P.P., Shirokov R.S. Informacionnaya osnova ocenki resursnogo potenciala zemel' sel'skohozyaystvennogo naznacheniya // Zemleustroystvo, kadastr i monitoring zemel' №7 2021.
11. Kul'karni V.G. (2011). Vvedenie v modelirovanie i analiz stohasticheskih sistem. Springer Texts in Statistics, Springer, N'yu-York.
12. Lambin, E. F. (2001). Prichina izmeneniya zemlepol'zovaniya i zemnogo pokrova: vyyti za ramki mifov. Global'noe izmenenie okruzhayuschey sredy, 11(4), 261-269.
