Evaluation of modelled net primary production using MODIS and landsat satellite data fusion
Abstract Background To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data into a modified version of the CASA ecosystem model. The proportion of each...
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doaj-70ec82a61d1a4925aa57c21e9bfbe4852020-11-25T00:26:36ZengBMCCarbon Balance and Management1750-06802016-06-0111111310.1186/s13021-016-0049-6Evaluation of modelled net primary production using MODIS and landsat satellite data fusionSteven Jay0Christopher Potter1Robert Crabtree2Vanessa Genovese3Daniel J. Weiss4Maggi Kraft5Yellowstone Ecological Research CenterCASA Systems 2100, LLCYellowstone Ecological Research CenterScience and Environmental Policy, California State University, Monterey BayYellowstone Ecological Research CenterYellowstone Ecological Research CenterAbstract Background To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data into a modified version of the CASA ecosystem model. The proportion of each Landsat land cover type within each 0.004 degree resolution CASA pixel was used to influence the ecosystem model result by a pure-pixel interpolation method. Results Seventeen Ameriflux tower flux records spread across the country were combined to evaluate monthly NPP estimates from the modified CASA model. Monthly measured NPP data values plotted against the revised CASA model outputs resulted in an overall R2 of 0.72, mainly due to cropland locations where irrigation and crop rotation were not accounted for by the CASA model. When managed and disturbed locations are removed from the validation, the R2 increases to 0.82. Conclusions The revised CASA model with pure-pixel interpolated vegetation index performed well at tower sites where vegetation was not manipulated or managed and had not been recently disturbed. Tower locations that showed relatively low correlations with CASA-estimated NPP were regularly disturbed by either human or natural forces.http://link.springer.com/article/10.1186/s13021-016-0049-6Net primary productionMODISLandsatEVIAmeriflux |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Steven Jay Christopher Potter Robert Crabtree Vanessa Genovese Daniel J. Weiss Maggi Kraft |
spellingShingle |
Steven Jay Christopher Potter Robert Crabtree Vanessa Genovese Daniel J. Weiss Maggi Kraft Evaluation of modelled net primary production using MODIS and landsat satellite data fusion Carbon Balance and Management Net primary production MODIS Landsat EVI Ameriflux |
author_facet |
Steven Jay Christopher Potter Robert Crabtree Vanessa Genovese Daniel J. Weiss Maggi Kraft |
author_sort |
Steven Jay |
title |
Evaluation of modelled net primary production using MODIS and landsat satellite data fusion |
title_short |
Evaluation of modelled net primary production using MODIS and landsat satellite data fusion |
title_full |
Evaluation of modelled net primary production using MODIS and landsat satellite data fusion |
title_fullStr |
Evaluation of modelled net primary production using MODIS and landsat satellite data fusion |
title_full_unstemmed |
Evaluation of modelled net primary production using MODIS and landsat satellite data fusion |
title_sort |
evaluation of modelled net primary production using modis and landsat satellite data fusion |
publisher |
BMC |
series |
Carbon Balance and Management |
issn |
1750-0680 |
publishDate |
2016-06-01 |
description |
Abstract Background To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data into a modified version of the CASA ecosystem model. The proportion of each Landsat land cover type within each 0.004 degree resolution CASA pixel was used to influence the ecosystem model result by a pure-pixel interpolation method. Results Seventeen Ameriflux tower flux records spread across the country were combined to evaluate monthly NPP estimates from the modified CASA model. Monthly measured NPP data values plotted against the revised CASA model outputs resulted in an overall R2 of 0.72, mainly due to cropland locations where irrigation and crop rotation were not accounted for by the CASA model. When managed and disturbed locations are removed from the validation, the R2 increases to 0.82. Conclusions The revised CASA model with pure-pixel interpolated vegetation index performed well at tower sites where vegetation was not manipulated or managed and had not been recently disturbed. Tower locations that showed relatively low correlations with CASA-estimated NPP were regularly disturbed by either human or natural forces. |
topic |
Net primary production MODIS Landsat EVI Ameriflux |
url |
http://link.springer.com/article/10.1186/s13021-016-0049-6 |
work_keys_str_mv |
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