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change detection image classification land use/land cover Landsat Markov chain model spatial dynamics support vector machine

Number of items: 7.

change detection

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

image classification

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

land use/land cover

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

Landsat

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

Markov chain model

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

spatial dynamics

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

support vector machine

Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057

This list was generated on Wed Dec 4 19:11:37 2024 UTC.