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