Name
Title | ||
|---|---|---|
Land Cover Classification Based On Multi-Temporal Modis Ndvi & Lst In Northeastern China |
Abstract | ||
|---|---|---|
This paper investigated the regional land cover classification based on multi-temporal MODIS data. The study area lies in Northeastern China, where there are diverse and relative homogeneous 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), needle-leaf deciduous forest and broadleaf deciduous forest have similar phenological characteristics easy to be confused. We add the LST (land surface temperature) data to resolve this problem. But built-up area and bare land must depend on further information to be divided. Validated results with 363 ground truth filed samples; the result shows that the temperature-vegetation index (TVI) includes more information. The overall land cover classification accuracies with NDVI and TVI are 62.26% and 71.63% respectively. Based on this study, we concluded that TVI is more sensitive to land cover than NDVI, and MODIS data has its strength in the regional land cover mapping. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IGARSS.2006.297 | 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8 |
Keywords | Field | DocType |
null | Vegetation,Computer science,Deciduous,Perennial plant,Remote sensing,Grassland,Ground truth,Normalized Difference Vegetation Index,Land cover,Phenology | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pan Gong | 1 | 0 | 0.34 |
| Zhongxin Chen | 2 | 67 | 18.05 |
| Huajun Tang | 3 | 0 | 0.34 |
| Fengrong Zhang | 4 | 41 | 11.72 |