Abstract
Many indices have been used to study the environmental change. It is easy to monitor the change if an index provides a linear response to a physical or biophysical parameter. We proposed a spectral reflectance curves-based approach to generate a linearized index. Using multispectral images, we first converted DN to reflectance, used KL transform and fuzzy logic to classify pixels, then determined a mapping function to generate a linearized index. An application of this approach to generate a linearized snow age index is shown in this paper. The linearized index can be further analyzed using time-varying signal analysis techniques to explore the spatial and temporal variations.
| Original language | English |
|---|---|
| Pages | 117-119 |
| Number of pages | 3 |
| Publication status | Published - 1994 Dec 1 |
| Event | Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA Duration: 1994 Aug 8 → 1994 Aug 12 |
Other
| Other | Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) |
|---|---|
| City | Pasadena, CA, USA |
| Period | 94-08-08 → 94-08-12 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)
Cite this
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Study of linearized index generation using multispectral images for environmental monitoring. / Pan, Jeng Jong; Li, Sheng Tun.
1994. 117-119 Paper presented at Proceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4), Pasadena, CA, USA, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Study of linearized index generation using multispectral images for environmental monitoring
AU - Pan, Jeng Jong
AU - Li, Sheng Tun
PY - 1994/12/1
Y1 - 1994/12/1
N2 - Many indices have been used to study the environmental change. It is easy to monitor the change if an index provides a linear response to a physical or biophysical parameter. We proposed a spectral reflectance curves-based approach to generate a linearized index. Using multispectral images, we first converted DN to reflectance, used KL transform and fuzzy logic to classify pixels, then determined a mapping function to generate a linearized index. An application of this approach to generate a linearized snow age index is shown in this paper. The linearized index can be further analyzed using time-varying signal analysis techniques to explore the spatial and temporal variations.
AB - Many indices have been used to study the environmental change. It is easy to monitor the change if an index provides a linear response to a physical or biophysical parameter. We proposed a spectral reflectance curves-based approach to generate a linearized index. Using multispectral images, we first converted DN to reflectance, used KL transform and fuzzy logic to classify pixels, then determined a mapping function to generate a linearized index. An application of this approach to generate a linearized snow age index is shown in this paper. The linearized index can be further analyzed using time-varying signal analysis techniques to explore the spatial and temporal variations.
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UR - http://www.scopus.com/inward/citedby.url?scp=0028744207&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0028744207
SP - 117
EP - 119
ER -