| 1 |
Choe, E., J. Lee, and S. Cheon, 2015. Monitoring and modelling of chlorophyll-a concentrations in rivers using a high-resolution satellite image: a case study in the Nakdong river, Korea, International Journal of Remote Sensing, 36(6): 1645-1660./
|
|
| 2 |
Imukova, K., J. Ingwersen, and T. Streck, 2015. Determining the spatial and temporal dynamics of the green vegetation fraction of croplands using high-resolution RapidEye satellite images, Agricultural and Forest Meteorology, 206: 113-123./
|
|
| 3 |
Pu, R. and J. Cheng, 2015. Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US, International Journal of Applied Earth Observation and Geoinformation, 42: 11-23./
|
|
| 4 |
Richter, R., and D. Schlapfer, 2015. Atmospheric/topographic correction for satellite imagery (ATCOR-2/3 User Guide, Version 9.0.0, June 2015), DLR report DLR-IB: 565-01/15./
|
|
| 5 |
Ocean and Sea ice Satellite application Facility (OSISAF), 2015, Global Sea Ice Concentration Reprocessing Product User Manual./
|
|
| 6 |
Zatko, M.C. and S.G. Warren, 2015. East Antarctic sea ice in spring: spectral albedo of snow, nilas, frost flowers and slush, and light-absorbing impurities in snow, Annals of Glaciology, 56(69): 53./
|
|
| 7 |
Martinis, S., J. Kersten, and A. Twele, 2015. A fully automated TerraSAR-X based flood service, ISPRS Journal of Photogrammetry and Remote Sensing, 104: 203-212./
|
|
| 8 |
Martinis, S., J. Kersten, and A. Twele, 2015. A fully automated TerraSAR-X based flood service, ISPRS Journal of Photogrammetry and Remote Sensing, 104: 203-212./
|
|
| 9 |
GeoServer, 2015. What is GeoServer?, http://geoserver.org/about/ (Accessed December 23, 2015)./
|
|
| 10 |
Chou, D.C., 2015. Cloud computing: A value creation model, Computer Standards & Interfaces, 38: 72-77./
|
|