Automated Cloud Detection of Satellite Imagery Using Spatial Modeler Language and ERDAS Macro Language

Аннотация

Cloud detection from satellite imagery has been an important method of observing cloud covered areas. Presently, there are several algorithms for cloud detection, but there is no existing integrating frame and tools. The author used the software development tools within the commercial software ERDAS Imagine. The integrated software tools were the Imagine Developers’ Toolkit and the C programming language. ERDAS Imagine includes its own Graphical User Interface scripting language known as ERDAS Macro Language, and its own modeling language, known as Spatial Modeling Language. The novel module of software tools can convert raster data to brightness temperature and includes a special set time function, cloud top height, and cloud cover area. This study demonstrates successful cloud detection and classification from the Multi‑functional Transport Satellite‑2, which will be useful in Thailand’s efforts to forecast flood risks and provide early warnings of rain‑causing clouds.