Quantifying the direct and indirect effects of terrain, climate and human activity on the spatial pattern of kNDVI-based vegetation growth: A case study from the Minjiang River Basin, Southeast China.
Zipeng GuXingwei ChenWeifang RuanMeiling ZhengKaili GenXiaochen LiHaijun DengYing ChenMeibing LiuPublished in: Ecol. Informatics (2024)
Keyphrases
- human activities
- river basin
- spatial patterns
- indirect effects
- activity recognition
- sustainable development
- human computer interaction
- water resources
- sensor data
- spatio temporal
- event calculus
- action recognition
- remote sensing
- spatial distribution
- reasoning about actions
- geographical information systems
- satellite images
- economic development
- pattern discovery
- situation calculus
- database
- artificial intelligence
- machine learning