coffee distribution map of main production region of Yunnan in 2023 based on DNN and GEE

Coffee, as a perennial commodity crop, plays a crucial role in global agricultural markets, regional livelihoods, and poverty alleviation. Coffee from Yunnan, China’s primary coffee-producing region, is receiving increasing attention from the global market. However, the lack of a high-resolution coffee distribution map has limited environmental research and policy-making efforts related to coffee cultivation. We utilized Sentinel-2 optical data and Shuttle Radar Topographic Mission (SRTM) topographic data from the Google Earth Engine (GEE) platform to generate the first 10-meter resolution coffee distribution map of Yunnan in 2023. By employing object-based Simple Non-Iterative Clustering (SNIC) segmentation and a Deep Neural Network (DNN) classifier, we achieved an overall accuracy (OA) of 0.87, with user accuracy (UA), producer accuracy (PA), and F1 score of 0.90, 0.96, and 0.93, respectively. This dataset provides a valuable foundation for advancing research on deforestation, sustainable development, and livelihood protection related to coffee cultivation in Yunnan. Additionally, it facilitates modelling the relationship between coffee distribution and climate change in the region. 

We provided two files. "2023_yunnan_coffee_10m.tif " is a 10 meter coffee distribution data directly calculated based on remote sensing images provided by the GEE platform. A value of 1 indicates the presence of coffee at that location, while a value of 0 indicates the absence of coffee. 2023_yunnan_coffee_1km. tif "is the proportion of coffee area in a 1km grid obtained by aggregating the previous 10m coffee distribution data. The numerical range is 0~1, where 0 indicates that there is no coffee in the 1km grid and 1 indicates that all coffee is present in the 1km grid.