155 related articles for article (PubMed ID: 37486922)
1. Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model.
Osman MAA; Abdel-Rahman EM; Onono JO; Olaka LA; Elhag MM; Adan M; Tonnang HEZ
PLoS One; 2023; 18(7):e0288694. PubMed ID: 37486922
[TBL] [Abstract][Full Text] [Related]
2. Simulation of land use/land cover changes and urban expansion in Estonia by a hybrid ANN-CA-MCA model and utilizing spectral-textural indices.
Mozaffaree Pour N; Karasov O; Burdun I; Oja T
Environ Monit Assess; 2022 Jul; 194(8):584. PubMed ID: 35829789
[TBL] [Abstract][Full Text] [Related]
3. Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh.
Rahman MTU; Tabassum F; Rasheduzzaman M; Saba H; Sarkar L; Ferdous J; Uddin SZ; Zahedul Islam AZM
Environ Monit Assess; 2017 Oct; 189(11):565. PubMed ID: 29039035
[TBL] [Abstract][Full Text] [Related]
4. Implications of land use/land cover dynamics and Prosopis invasion on ecosystem service values in Afar Region, Ethiopia.
Shiferaw H; Bewket W; Alamirew T; Zeleke G; Teketay D; Bekele K; Schaffner U; Eckert S
Sci Total Environ; 2019 Jul; 675():354-366. PubMed ID: 31030142
[TBL] [Abstract][Full Text] [Related]
5. Spatio-temporal prediction of land use and land cover change in Bahi (Manyoni) Catchment, Tanzania, using multilayer perceptron neural network and cellular automata-Markov chain model.
Hersi NAM; Mulungu DMM; Nobert J
Environ Monit Assess; 2023 Dec; 196(1):29. PubMed ID: 38066313
[TBL] [Abstract][Full Text] [Related]
6. Mapping and monitoring land use land cover dynamics employing Google Earth Engine and machine learning algorithms on Chattogram, Bangladesh.
Biswas J; Jobaer MA; Haque SF; Islam Shozib MS; Limon ZA
Heliyon; 2023 Nov; 9(11):e21245. PubMed ID: 37954389
[TBL] [Abstract][Full Text] [Related]
7. Assessment of land use and land cover change detection and prediction using deep learning techniques for the southwestern coastal region, Goa, India.
Naik N; Chandrasekaran K; Meenakshi Sundaram V; Panneer P
Environ Monit Assess; 2024 May; 196(6):527. PubMed ID: 38722419
[TBL] [Abstract][Full Text] [Related]
8. Spatio-temporal change analysis and prediction of land use and land cover changes using CA-ANN model.
Değermenci AS
Environ Monit Assess; 2023 Sep; 195(10):1229. PubMed ID: 37725186
[TBL] [Abstract][Full Text] [Related]
9. Dynamics and future prediction of LULC on Pare River basin of Arunachal Pradesh using machine learning techniques.
Mandal S; Bandyopadhyay A; Bhadra A
Environ Monit Assess; 2023 May; 195(6):709. PubMed ID: 37212900
[TBL] [Abstract][Full Text] [Related]
10. Land use/land cover (LULC) analysis (2009-2019) with Google Earth Engine and 2030 prediction using Markov-CA in the Rondônia State, Brazil.
Floreano IX; de Moraes LAF
Environ Monit Assess; 2021 Mar; 193(4):239. PubMed ID: 33783626
[TBL] [Abstract][Full Text] [Related]
11. Using multilayer perceptron and similarity-weighted machine learning algorithms to reconstruct the past: A case study of the agricultural expansion on grasslands in the Uruguayan savannas.
Kappes BB; Kuplich TM; da Silva TS; Weber EJ
Integr Environ Assess Manag; 2024 Jul; 20(4):1140-1155. PubMed ID: 37850530
[TBL] [Abstract][Full Text] [Related]
12. Past dynamics and future prediction of the impacts of land use cover change and climate change on landscape ecological risk across the Mongolian plateau.
Guo J; Li FY; Tuvshintogtokh I; Niu J; Li H; Shen B; Wang Y
J Environ Manage; 2024 Mar; 355():120365. PubMed ID: 38460328
[TBL] [Abstract][Full Text] [Related]
13. Modeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, Ethiopia.
Sisay G; Gesesse B; Fürst C; Kassie M; Kebede B
Heliyon; 2023 Sep; 9(9):e20088. PubMed ID: 37809465
[TBL] [Abstract][Full Text] [Related]
14. Monitoring of land use/land cover changes using GIS and CA-Markov modeling techniques: a study in Northern Turkey.
Aksoy H; Kaptan S
Environ Monit Assess; 2021 Jul; 193(8):507. PubMed ID: 34297232
[TBL] [Abstract][Full Text] [Related]
15. Analyze of spatial extent and current condition of land use land cover dynamics for the period 1990-2020 Wayu-Tuka district, western Ethiopia.
Bekere J; Senbeta F; Gelaw A
Heliyon; 2023 Aug; 9(8):e18587. PubMed ID: 37576261
[TBL] [Abstract][Full Text] [Related]
16. Use of cellular automata-based artificial neural networks for detection and prediction of land use changes in North-Western Dhaka City.
Rahman F; Rahman MTU
Environ Sci Pollut Res Int; 2023 Jan; 30(1):1428-1450. PubMed ID: 35915309
[TBL] [Abstract][Full Text] [Related]
17. Spatial modeling of land use and land cover change in Sulaimani, Iraq, using multitemporal satellite data.
Khwarahm NR
Environ Monit Assess; 2021 Feb; 193(3):148. PubMed ID: 33638037
[TBL] [Abstract][Full Text] [Related]
18. Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models.
Indraja G; Aashi A; Vema VK
Environ Monit Assess; 2024 Jan; 196(2):117. PubMed ID: 38183538
[TBL] [Abstract][Full Text] [Related]
19. Analysis of land use/ land cover changes and landscape fragmentation in the Baro-Akobo Basin, Southwestern Ethiopia.
Mulatu K; Hundera K; Senbeta F
Heliyon; 2024 Apr; 10(7):e28378. PubMed ID: 38560104
[TBL] [Abstract][Full Text] [Related]
20. LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia.
Fetene DT; Lohani TK; Mohammed AK
Environ Monit Assess; 2023 Oct; 195(11):1329. PubMed ID: 37848752
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
