Wetland is a very important land resource and a natural resource, which has many functions like forest, cropland, and ocean, and has close relationship with human being. Northeast China has largest wetland distribution and richest wetland types in China. However, under economic interests driving, wetland in this area is exploited blindly, which causes wetland's functions and benefits decreasing. With the involvement of RS (Remote Sensing) and computer technology, we can monitor wetlands dynamically, which decreases labor intensity of field investigation. Although MODIS, loaded on Terra of new generation EOS, has a coarser spatial resolution than TM, it has higher spatial, temporal, and spectral resolution than AVHRR, which make it capabile to monitor wetland timely and dynamically. The article takes Songnen Plain as study area, uses multi-temporal MODIS-NDVI data to study wetland distribution, and makes validation of result. The research indicates that using multi-temporal MODIS-NDVI data is capable to get wetland distribution, and monitor wetland change effectively.
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