Study on Crop Extraction and Monitoring in Rice Growing Area of Sanjiang Plain based on GEE Cloud Platform
Timely and accurate acquisition of rice growth information plays an important role in guiding agricul-tural development and formulating agricultural policy.In this paper,based on the MODIS and Landsat8 remote sensing image data of Sanjiang Plain from 2014 to 2022,the Google Earth Engine(GEE)cloud platform was used to extract the rice planting area and analyze its change trend.Three characteristic indexes(NDVI,EVI and LSWI)were objectively weighted by coefficient of variation method,and Rice Growth Index(RGI)was constructed.The interannual difference model was used to evaluate the rice growth in 2022 compared with the perennial(2014～2021),and to analyze the spatio-temporal variation and yield trend from tillering stage to fill-ing stage in the Sanjiang Plain.The results showed as follows:(1)From 2014 to 2021,the rice planting area in Sanjiang Plain showed an overall increasing trend,with an increasing area of more than 5 000 km2.(2)From June to August 2022,the rice growth in all cities and counties in Sanjiang Plain showed a steady upward trend of"equal tillering stage,best jointing booting stage,and better heading and filling stage",and the growth in the eastern and northern parts was better than that in the western and southern parts,and the northeastern part showed the best growth.(3)The change trend of rice yield in the 2022 growing season is inferred to be"poor harvest in some areas,high harvest in most areas,and the overall trend of steady increase".The results can pro-vide a scientific basis for agriculture department to guide agricultural activities and domestic rice growth monitor-ing and yield estimation by remote sensing.
GEECoefficient of variation methodRice growth indexDifference modelSpatio-temporal vari-ationYield trend
万方数据
维普
