Paper about "An improved GIS-based solar radiation model" published
Zhang, M., Wang, B., Liu, D. L., Liu, J., Zhang, H., Feng, P., ... & Yu, Q. (2020). Incorporating dynamic factors for improving a GIS‐based solar radiation model. Transactions in GIS, 24(2), 423-441.
A GIS-based solar radiation model that incorporates albedo, shading by surrounding terrain, and variations in cloudiness was used to address the spatial variability of these factors in mountainous terrain. Compared with other independent solar radiation products, our model generated a more reliable solar radiation product over rugged terrain.
We developed spatio-temporal whittaker smoother gap-filling method for gap-filled Albedo
Table 1. By comparison with other well-known GIS-based solar radiation model such as Solar Analyst in ArcGIS and r.sun in GRASS
| DEM-based Model | Environment | Computing capacity | Ground parameter | Sky view factor |
|---|---|---|---|---|
| Our model | GEE | Cloud-based | Dynamic Albedo | Surrounding terrain |
| r.SUN | GRASS | Multi-processor | Static Albedo | Slope itself |
| SRAD | ArcGIS | Multi-processor | Static Albedo | Slope itself |
| Solar Analyst | ArcGIS | Single-processor | Static Albedo | Slope itself |
| Solei-32 | ArcGIS | Single-processor | Static Albedo | Slope itself |
A mountainous solar radiation toolbox was developed, which can be used for dynamic visualization, extraction, and processing of mountainous solar radiation.