
- Describing project methodologies (satellite image processing, census and interview data analysis, and spatial modeling)
- Documenting annual tree cover change since 1990 at 30m spatial resolution
- Identifying physiographic and socioeconomic variables associated with tree cover change and quantify their respective influences, and
- Assessing how foreign labor migration and remittances correlate to tree cover and the future of community forestry in Nepal
Meeting Venue:
Hotel Himalaya
Kupondole Height, Lalitpur, Kahtmandu, Nepal 1-866-599-6674
https://hotelhimalaya.com.np/
Meeting Registration:
TBA
Main Scientific Organizers:
1. Dr. Ram Chhetri, Resources Himalaya. Kathmandu, Nepal
2. Dr. Naya Sharma Paudel, ForestAction, Kathmandu, Nepal
3. Dr. Jefferson Fox, East-West Center, Honolulu, Hawaii
Agenda: Scientific presentations
1. Background/overview from ICIMOD? (1990 and 2010 forest cover products)
2. Terrain correction and image compositing
3. Tree cover change and geographic analysis
4. Socioeconomic change
5. Spatial modeling
6. Integration of tree cover change
Hands-on training session with tree cover products in Google Earth Engine – December 3rd - 4th, 2018
Training Objectives:
We will introduce the cloud-based Google Earth Engine (GEE) platform for Big Data remote sensing analysis, and provide hands-on training with a range of processing techniques and open-access datasets available through GEE. With an understanding of GEE in place, we will discuss in detail the new 25-year Nepal tree cover/change dataset including its methodology, accuracy, and derived products. For comparison, we will also discuss access and use of the Hansen et al. global forest cover dataset.
Schedule:
December 3 – GEE fundamentals
09:00-10:30am : Introduction to Google Earth Engine; Javascript API tour; GEE data concepts (e.g. collections); code sharing and saving
10:30-10:45am : Break
10:45-12:00pm : Exploring and visualizing available GEE raster datasets – focus on Landsat 8, MODIS, and Sentinel-2
12:00-01:00pm : Lunch
01:00-03:00pm : Filtering imageCollections and featureCollections; applying functions and algorithms to the collections (e.g. map, reducers)
03:00-03:15pm : Break
03:15-05:00pm : Band correlation/covariance, image enhancements, and band combinations
December 4 – Project specific components
09:00-10:30am : Terrain correction, change detection, and temporal compositing
10:30-10:45am : Break
10:45-12:00pm : Linear trend fitting; supervised classification
12:00-01:00pm : Lunch
01:00-02:00pm : Working with the Hansen global forest cover dataset
02:00-02:15pm : Break
02:15-05:00pm : Working with the new 25-year Nepal tree cover/change dataset