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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 6.0 ) 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
GIScience & Remote Sensing ( IF 6.0 ) 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:
草地景观中的土地覆盖变化:将增强的 Landsat 数据组合、LandTrendr 和 Google Earth 引擎中的机器学习分类与 MLP-ANN 场景预测相结合
了解草原栖息地在空间和时间上的动态对于评估保护措施的有效性和制定可持续管理实践至关重要,特别是在...
更新日期:2024-01-17
中文翻译:
草地景观中的土地覆盖变化:将增强的 Landsat 数据组合、LandTrendr 和 Google Earth 引擎中的机器学习分类与 MLP-ANN 场景预测相结合
了解草原栖息地在空间和时间上的动态对于评估保护措施的有效性和制定可持续管理实践至关重要,特别是在...