dc.contributor.author |
Bachoo, A
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|
dc.contributor.author |
Archibald, S
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|
dc.date.accessioned |
2007-11-15T09:32:01Z |
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dc.date.available |
2007-11-15T09:32:01Z |
|
dc.date.issued |
2007-07 |
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dc.identifier.citation |
Bachoo, A and Archibald, S. 2007. Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data. International workshop on the analysis of multi-temporal remote sensing images, 2007. Multitemp 2007 IEEE Conference. Leuven, Belgium, 18-20 July 2007, pp 4 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/1606
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|
dc.description |
2007: IEEE Conference. Leuven, Belgium |
en |
dc.description.abstract |
Information of vegetation dynamics derived from remotely sensed data is essential for regional natural resource management. A common approach involves using an n-day composite time-series of normalized difference vegetation index (NDVI) satellite data for estimating vegetation phenology. The composite method was introduced to deal with problems associated with cloudy and noisy data but could possibly obscure the fine-scale timing of vegetation processes like leaf out and leaf drop, which can occur suddenly, often within a few days. Moreover, different methods for smoothing the NDVI curves also influence the accuracy of the vegetation parameters extracted from them. The auhtors investigate the difference between 8-day equalinterval (standard composite data) and 8-day date-specific NDVI data in their ability to extract phenological metrics of interest for ecologists and land managers. They also compare two different filtering algorithms - the Savitsky-Golay and the Gaussian filtering algorithms. Results from a typical savanna system in South Africa show that the Savitsky-Golay technique with date-specific NDVI values is the best method |
en |
dc.language.iso |
en |
en |
dc.subject |
Remote sensed data |
en |
dc.subject |
NDVI |
en |
dc.subject |
Normalized difference vegetation index |
en |
dc.subject |
Date-specific values |
en |
dc.subject |
Vegetation phenology |
en |
dc.subject |
IEEE Conference. Leuven, Belgium. 18-20 Jul 2007 |
en |
dc.title |
Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Bachoo, A., & Archibald, S. (2007). Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data. http://hdl.handle.net/10204/1606 |
en_ZA |
dc.identifier.chicagocitation |
Bachoo, A, and S Archibald. "Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data." (2007): http://hdl.handle.net/10204/1606 |
en_ZA |
dc.identifier.vancouvercitation |
Bachoo A, Archibald S, Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data; 2007. http://hdl.handle.net/10204/1606 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Bachoo, A
AU - Archibald, S
AB - Information of vegetation dynamics derived from remotely sensed data is essential for regional natural resource management. A common approach involves using an n-day composite time-series of normalized difference vegetation index (NDVI) satellite data for estimating vegetation phenology. The composite method was introduced to deal with problems associated with cloudy and noisy data but could possibly obscure the fine-scale timing of vegetation processes like leaf out and leaf drop, which can occur suddenly, often within a few days. Moreover, different methods for smoothing the NDVI curves also influence the accuracy of the vegetation parameters extracted from them. The auhtors investigate the difference between 8-day equalinterval (standard composite data) and 8-day date-specific NDVI data in their ability to extract phenological metrics of interest for ecologists and land managers. They also compare two different filtering algorithms - the Savitsky-Golay and the Gaussian filtering algorithms. Results from a typical savanna system in South Africa show that the Savitsky-Golay technique with date-specific NDVI values is the best method
DA - 2007-07
DB - ResearchSpace
DP - CSIR
KW - Remote sensed data
KW - NDVI
KW - Normalized difference vegetation index
KW - Date-specific values
KW - Vegetation phenology
KW - IEEE Conference. Leuven, Belgium. 18-20 Jul 2007
LK - https://researchspace.csir.co.za
PY - 2007
T1 - Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data
TI - Influence of using date-specific values when extracting phenological metrics from 8-day composite NDVI data
UR - http://hdl.handle.net/10204/1606
ER -
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en_ZA |