Abstract: Accurate,fast and low-cost access to the information on the area,distribution and subsidence damage of cultivated land in high-groundwater-level coal mines is very important for the protection of cultivated land. UAV (Un- manned Aerial Vehicle) remote sensing has great advantages over traditional methods,with lower cost,simpler opera- tion,faster access speed and higher resolution. Color space conversion,texture analysis and vegetation index and other methods can effectively enhance and extract the potential information of the image,which is helpful to the image ex- traction. Taking Xinglongzhuang coalmine area,located in Yanzhou District,Shandong Province as an example,this pa- per focused on the extraction of subsided cultivated land information in high-groundwater-level coal mines using UAV visible-band images obtained in April 2018 as the data source. Firstly,the statistical characteristics ( including mean and standard deviation) of pixels of typical ground objects in red,green,and blue bands were analyzed. It was found that the pixel values of cultivated land and water catchment part were overlapped in all three bands. Secondly,the color space conversion and the gray level co-occurrence texture filtering were performed on the image of the study area,and a total of 27 color and texture features were obtained,which were then calculated by mean and standard deviation to gain respective coefficient of variation and relative difference. The hue (the coefficient of variation is 26% ,the relative difference is 73. 33% ) and the entropy of blue ( the coefficient of variation is 20. 59% ,the relative difference is 72． 79% ) were chosen as the optimal feature for cultivated land extraction,then the maximum likelihood method was used to extract cultivated land information. Thirdly,six alternative visible-band vegetation indexes were calculated,and EXG (excess green index),VDVI (visible-band difference vegetation index),RGBVI ( red green blue vegetation in- dex) and NGRDI (normalized green-red difference index) were finally selected as the subsided land extraction index, besides the dual-peak threshold method was used to determine the extraction threshold of cultivated land. By the com- parison of the extraction results,it is found that the EXG and NGRDI index cannot objectively reflect the characteris- tics of the study area. The total cultivated classification accuracy of VDVI index (81. 05% ) is higher than that of RG- BVI index (71. 38% ),which is the most suitable index for the extraction of cultivated land. Finally,the area of subsi- ded cultivated land extracted from the remote sensing image of the study area using object-oriented extraction based on sample was used as the reference value for verification,and the area extracted by color and texture feature method (2 079. 16 m2 ) is closer to the reference area (2 231. 34 m2 ),which is more suitable for the extraction of cultivated land in high-groundwater-level coal mines. The results objectively reflect the variation features of the color,texture and density of cultivated land caused by coal mining subsidence,which provides basic data and reference method for the calculation of subsided cultivated land in high-groundwater-level coal mines.