Land cover mapping with MODIS NDVI time series In Northeastern China

摘要

This paper investigated the regional land cover mapping with MODIS time-series data. The study area lies in Northeastern China, where there are diverse and relatively pure land cover types. Through experiment, NDVI time-series data can be used to distinguish the woody (perennial) and herbaceous (annual), vegetation and non-vegetation categories depending on the seasonal differences. Grassland and cropland (one-crop-per-year) have similar phenological characteristics easy to be confused. We add the TS (surface temperature) data to resolve this problem. Validated results with 363 ground truth field samples, the overall classification accuracies of NDVI and TS/NDVI are 62.26% and 71.63% respectively. Based on this study, we concluded that TS/NDVI is more sensitive to land cover than NDVI, and MODIS data has its strength in the regional land cover mapping.