Title | ||
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Salt-damaged paddy fields analyses using high-spatial-resolution hyperspectral imaging system |
Abstract | ||
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In agricultural fields, the damage caused by salinized winds is crucial for crops. In order to minimize the damage, it is required to detect the damaged areas and enact the proper procedures in order to save the damaged fields immediately after the disaster. In this paper, we propose indices that can indicate the degree of salt-breezed damages in the early withering-up stage. To detect the indices, high-spatial-resolution hyperspectral data taken in actual damaged paddy fields are analyzed. In addition, the sequential change of hyperspectral data in rice within artificial withering-up experiments is recorded to interpret the fundamental mechanism of the indices. The applicability of the indices for satellite data is also shown by applying them to simulated satellite data. |
Year | DOI | Venue |
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2005 | 10.1109/IGARSS.2005.1526444 | Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International |
Keywords | Field | DocType |
hyperspectral imaging,crops,agricultural engineering,artificial satellites,image analysis,paddy field,hyperspectral sensors,agriculture,typhoons,data acquisition | Soil science,Satellite,Paddy field,Computer science,Remote sensing,Hyperspectral imaging,Normalized Difference Vegetation Index,Image resolution,Satellite data | Conference |
Volume | ISBN | Citations |
3 | 0-7803-9050-4 | 4 |
PageRank | References | Authors |
4.88 | 1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Minekawa, Y. | 1 | 5 | 9.37 |
Uto, Kuniaki | 2 | 18 | 11.93 |
Naoko Kosaka | 3 | 16 | 11.70 |
Kosugi, Yukio | 4 | 67 | 12.59 |