Paper
4 January 2006 Interpretation of wetlands in Songnen Plain using MODIS data
Long Ma, Chuang Liu, Wen-bo Chen
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59854S (2006) https://doi.org/10.1117/12.658382
Event: International Conference on Space information Technology, 2005, Wuhan, China
Abstract
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Long Ma, Chuang Liu, and Wen-bo Chen "Interpretation of wetlands in Songnen Plain using MODIS data", Proc. SPIE 5985, International Conference on Space Information Technology, 59854S (4 January 2006); https://doi.org/10.1117/12.658382
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Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Vegetation

Remote sensing

Composites

Image classification

Image resolution

Spectral resolution

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