Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting,GIScience & Remote Sensing

当前位置： X-MOL 学术 › GISci. Remote Sens. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2024-01-16 , DOI: 10.1080/15481603.2024.2302221
Cecilia Parracciani ₁ , Daniela Gigante ₁ , Onisimo Mutanga ₂ , Stefania Bonafoni ₃ , Marco Vizzari ₁

Affiliation

Understanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within th...

中文翻译：