As the second largest producer of maize,China contributes 23%of global maize production and plays an important role in guaranteeing maize markets stability.In spite of its importance,there is no 30m spatial resolution...As the second largest producer of maize,China contributes 23%of global maize production and plays an important role in guaranteeing maize markets stability.In spite of its importance,there is no 30m spatial resolution distribution map of maize for all of China.This study used a time-weighted dynamic time warping method to identify planting areas of maize by comparing the similarity of time series of a satellite-based vegetation index at each pixel with a standard time series derived from known maize fields and mapped maize distribution from 2016 to 2020 over 22 provinces accounting for more than 99%of the maize planting area in China.Based on 18800 field-surveyed pixels at 30-meter spatial resolution,the distribution map yields 76.15%and 81.59%of producer’s and user’s accuracies averaged over the entire investigated provinces,respectively.Municipality-and county-level census data also show a good performance in reproducing the spatial distribution of maize.This study provides an approach to mapping maize over large areas based on a small volume of field survey data.展开更多
基金The research is funded by the China National Funds for Distinguished Young Scientists(41925001).
文摘As the second largest producer of maize,China contributes 23%of global maize production and plays an important role in guaranteeing maize markets stability.In spite of its importance,there is no 30m spatial resolution distribution map of maize for all of China.This study used a time-weighted dynamic time warping method to identify planting areas of maize by comparing the similarity of time series of a satellite-based vegetation index at each pixel with a standard time series derived from known maize fields and mapped maize distribution from 2016 to 2020 over 22 provinces accounting for more than 99%of the maize planting area in China.Based on 18800 field-surveyed pixels at 30-meter spatial resolution,the distribution map yields 76.15%and 81.59%of producer’s and user’s accuracies averaged over the entire investigated provinces,respectively.Municipality-and county-level census data also show a good performance in reproducing the spatial distribution of maize.This study provides an approach to mapping maize over large areas based on a small volume of field survey data.
