Name
Title | ||
|---|---|---|
Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data. |
Abstract | ||
|---|---|---|
For many applied problems in agricultural monitoring and food security, it is important to provide reliable crop classification maps. Satellite imagery is extremely valuable source of data to provide crop maps in a timely way at moderate and high spatial resolution. Information on parcel boundaries that takes into account the spatial context may improve the quality of maps compared to pixel-based ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2560141 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Agriculture,Satellites,Remote sensing,Optical imaging,Optical sensors,Earth,Adaptive optics | Radar,Satellite,Satellite imagery,Remote sensing,Test site,Pixel,Spatial contextual awareness,Optical imaging,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
3 | 0.46 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nataliia Kussul | 1 | 191 | 25.01 |
| Guido Lemoine | 2 | 227 | 36.45 |
| Francisco Javier Gallego | 3 | 12 | 2.31 |
| Sergii Skakun | 4 | 130 | 17.69 |
| Mykola Lavreniuk | 5 | 75 | 7.51 |
| Andrii Shelestov | 6 | 145 | 19.39 |