Name
Title | ||
|---|---|---|
Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions |
Abstract | ||
|---|---|---|
The exploitation of new high revisit frequency satellite observations is an important opportunity for agricultural applications. The Sentinel-2 for Agriculture project S2Agri (http://www.esa-sen2agri.org/SitePages/Home.aspx) is designed to develop, demonstrate and facilitate the Sentinel-2 time series contribution to the satellite EO component of agriculture monitoring for many agricultural systems across the globe. In the framework of this project, this article studies the construction of a dynamic cropland mask. This mask consists of a binary annual-cropland/no-annual-cropland map produced several times during the season to serve as a mask for monitoring crop growing conditions over the growing season. The construction of the mask relies on two classical pattern recognition techniques: feature extraction and classification. One pixel- and two object-based strategies are proposed and compared. A set of 12 test sites are used to benchmark the methods and algorithms with regard to the diversity of the agro-ecological context, landscape patterns, agricultural practices and actual satellite observation conditions. The classification results yield promising accuracies of around 90% at the end of the agricultural season. Efforts will be made to transition this research into operational products once Sentinel-2 data become available. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/rs8010055 | REMOTE SENSING |
Keywords | Field | DocType |
cropland mapping,satellite image time series,Sentinel-2,dynamic classification,Random Forests | Satellite,Growing season,Satellite Image Time Series,Remote sensing,Image Series,Feature extraction,Agriculture,Pixel,Geology,Random forest | Journal |
Volume | Issue | Citations |
8 | 1 | 16 |
PageRank | References | Authors |
0.82 | 19 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia Valero | 1 | 171 | 13.81 |
| david morin | 2 | 54 | 2.79 |
| Jordi Inglada | 3 | 426 | 43.13 |
| guadalupe sepulcre | 4 | 56 | 2.85 |
| Marcela Arias | 5 | 108 | 7.39 |
| Olivier Hagolle | 6 | 177 | 24.29 |
| Gérard Dedieu | 7 | 149 | 30.83 |
| sophie bontemps | 8 | 89 | 7.42 |
| Pierre Defourny | 9 | 167 | 24.70 |
| Koetz, B. | 10 | 136 | 16.05 |