Abstract
The aim of the approach proposed in this paper is to determine a potential crop extent prior to the crop season, by determining regions that might change in time vs. those that surely do not change. We use multi-annual PALSAR-1 data since in dry conditions, L-band HH/HV data have a potential of distinguishing between bare soil and other classes. In addition, a more accurate map can be reached with multi-temporal data than using a single date. We work on HH and HV data sets separately and analyze the two outputs using ground-truth information. In a final phase, we combine these two outputs and compare the result with the ground-truth too, to test the usefulness of fusing the HH/HV information. This approach is the first step in our three-step procedure for estimation of cultivated area in small plot agriculture in Malawi. Validation results show that the proposed approach is promising.
Original language | English |
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Pages | 5943-5946 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 |
Conference
Conference | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 |
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Country/Territory | Germany |
City | Munich |
Period | 22/07/12 → 27/07/12 |
Keywords
- PALSAR
- crop extent estimation
- fusion
- multi-temporal data