Name
Title | ||
|---|---|---|
Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data. |
Abstract | ||
|---|---|---|
Spatio-temporal fusion of MODIS and Landsat data aims to produce new data that have simultaneously the Landsat spatial resolution and MODIS temporal resolution. It is an ill-posed problem involving large uncertainty, especially for reproduction of abrupt changes and heterogeneous landscapes. In this paper, we proposed to incorporate the freely available 250 m MODIS images into spatio-temporal fusi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2701643 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
MODIS,Remote sensing,Earth,Spatial resolution,Satellites,Monitoring,Image fusion | Meteorology,Satellite,Image fusion,Remote sensing,Fusion,Image resolution,Temporal resolution,Regression-kriging,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 9 | 1939-1404 |
Citations | PageRank | References |
3 | 0.40 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qunming Wang | 1 | 158 | 14.58 |
| Yihang Zhang | 2 | 86 | 8.80 |
| alex o onojeghuo | 3 | 23 | 2.76 |
| Xiaolin Zhu | 4 | 90 | 14.50 |
| Peter M. Atkinson | 5 | 391 | 47.56 |