Abstract
Natural rubber plantations are one of the primary forest ecosystems on Hainan Island and serve as a burgeoning focal point for ecosystem services in the Tropics. Therefore, it is crucial for regional ecological environment and economic development to accurately monitor and map the spatial and temporal pattern of rubber plantations. Employing Landsat TM/OLI image data acquired through the Google Earth Engine (GEE) cloud platform spanning from 1998 to 2022 in Hainan Island, coupled with information from the Third National Land Survey Report, we obtained a dataset of distribution changes of natural rubber plantations in Hainan Island from 2000 to 2020, by using a random forest classification model. The dataset demonstrates a relatively high accuracy, with an overall accuracy of 96.93%; Specifics include a producer's accuracy of 89.10% and a user's accuracy of 94.72%. The rubber plantation area in Hainan Island has exhibited a growing trend, increasing from 3,661.65 km2 in 2000 to 7,422.02 km2 in 2020. This dataset can provide fundamental support for monitoring, managing, and decision-making concerning rubber plantation ecosystems.
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