Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine

Canopy clumping index (CI) is a key structural parameter related to vegetation phenology and the absorption of radiation, and it is usually retrieved from remote sensing data based on an empirical relationship with the Normalized Difference between Hotspot and Darkspot (NDHD) index. A rapid production software was developed to implement the CI algorithm based on the Google Earth Engine (GEE) to update current CI products and promote the application of CI in different fields. Daily, monthly, and yearly global CI products are continuously generated and updated in real-time by the software. Users can directly download the product or work with CI without paying attention to data generation. For the application case study, a change detection algorithm, LandTrendr, was implemented on the GEE to examine the global CI trend from 2000 to 2020. The results indicate that the area of increase trend (28.7%, Delta CI > 0.02) is greater than that of the decrease trend (17.1%, Delta CI < -0.02). Our work contributes toward the retrieval, application, and validation of CI.

Automated summary

A rapid production software based on the Google Earth Engine (GEE) was developed to implement the Canopy clumping index (CI) algorithm, which retrieves CI from remote sensing data using an empirical relationship. The software continuously generates and updates global CI products in real-time, allowing users to directly download the product or work with CI without data generation. The application case study found that the area with increasing CI trend is greater than the area with decreasing trend from 2000 to 2020.