Global Crop Dataset-Rice (GCD-Rice)

The dataset is a a long-term, high spatial resolution rice distribution dataset (Global Crop Dataset-Rice, GCD-Rice) for the Asia region, identifying rice cultivation of all three seasons in 16 Asian countries from 1990 to 2023. The map is generated using high spatial resolution Landsat and Sentinel-1 datasets, based on a phenological approach known as time-weighted dynamic time warping and a random forest model. Validation based on 231121 field survey samples indicates that the average user accuracy, producer accuracy, and overall accuracy of GCD-Rice are 89.84%, 88.55%, and 89.24%, respectively. Based on linear regression tests of statistical area and identified area, the overall average R² value, slope, and RMAE are 0.768, 0.874, and 0.346, respectively.This dataset is provided in GeoTIFF format with the spatial resolution of 30 m. There are a total of 16 primary folders, representing various countries, and the secondary folders represent the rice of each season. In total, there are 918 GeoTIFF files.classification system:0: non-rice1: rice

本数据集为面向亚洲区域的长期、高空间分辨率水稻分布数据集（Global Crop Dataset-Rice, GCD-Rice），可识别1990年至2023年间16个亚洲国家的三类季型水稻种植情况。该数据集基于高空间分辨率的Landsat与Sentinel-1数据集，采用时间加权动态时间规整（time-weighted dynamic time warping）与随机森林模型的物候学方法生成。基于231121份野外调查样本开展验证，结果显示GCD-Rice的平均用户精度、生产者精度及总体精度分别为89.84%、88.55%与89.24%。通过对统计区域与识别区域进行线性回归检验，该数据集的总体平均R²值、斜率及RMAE分别为0.768、0.874与0.346。本数据集采用GeoTIFF格式存储，空间分辨率为30米。数据集共包含16个一级文件夹，分别对应各亚洲国家；二级文件夹则代表各季型水稻，总计包含918个GeoTIFF文件。分类体系如下：0代表非水稻区域，1代表水稻种植区域。

搜集汇总

背景与挑战

背景概述

GCD-Rice是一个覆盖亚洲16国、时间跨度长达33年（1990-2023）的高精度水稻分布数据集，采用30米分辨率遥感数据生成，包含三季水稻种植信息，验证精度达89%以上，数据以GeoTIFF格式分层存储。