关键词: 遥感信息提取, GEE, 烟叶, 冰雹风险区划, 建始县

Abstract: Sentinel-2 remote sensing images of Jianshi County in 2021 were selected, and based on GEE cloud platform, the parameters of NDVI, NDWI and NDBI were calculated. The random forest method was used to divide Jianshi County into five categories： water area, forest land, construction land, cultivated land and tobacco leaf. Combined with the results of the meteorological disaster risk survey in Jianshi County, the tobacco hail disaster risk regionalization model was established, and the risk grade of tobacco leaves subjected to hail disaster was evaluated. The results showed that the tobacco planting areas in Jianshi County were mainly distributed in the central and western parts of Guandian Town, most of Huaping Town, and the line from Gaoping Town to Maotian. Most of them were located in areas with low to medium risk of hail disasters in the tobacco growing areas. It was necessary to strengthen monitoring and early warning, and timely carry out artificial hail prevention operations. The risk level of hail disasters was low in the southern areas of Liangxiang, Sanli Township, and Gaoping Town, and the tobacco planting area could be appropriately increased. The risk level of hail disasters in the northeast and southern mountainous areas of Jianshi County was relatively high, and it was necessary to strengthen disaster prevention and appropriately reduce tobacco planting. The results of this study, as a typical case of the 2022 Enshi Prefecture disaster risk survey, had been applied in practical business, providing a good reference basis for tobacco planting production and meteorological disaster prevention and reduction.

Key words: remote sensing information extraction, GEE, tobacco, hail risk zoning, Jianshi County