Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data
<p>Abstract</p> <p>Background</p> <p>A simulation model that relies on satellite observations of vegetation cover from the Landsat 7 sensor and from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate net primary productivity (NPP) of forest s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2007-10-01
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| Series: | Carbon Balance and Management |
| Online Access: | http://www.cbmjournal.com/content/2/1/9 |
| _version_ | 1818385989447450624 |
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| author | Genovese Vanessa Gross Peggy Potter Christopher Smith Marie-Louise |
| author_facet | Genovese Vanessa Gross Peggy Potter Christopher Smith Marie-Louise |
| author_sort | Genovese Vanessa |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>A simulation model that relies on satellite observations of vegetation cover from the Landsat 7 sensor and from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate net primary productivity (NPP) of forest stands at the Bartlett Experiment Forest (BEF) in the White Mountains of New Hampshire.</p> <p>Results</p> <p>Net primary production (NPP) predicted from the NASA-CASA model using 30-meter resolution Landsat inputs showed variations related to both vegetation cover type and elevational effects on mean air temperatures. Overall, the highest predicted NPP from the NASA-CASA model was for deciduous forest cover at low to mid-elevation locations over the landscape. Comparison of the model-predicted annual NPP to the plot-estimated values showed a significant correlation of R<sup>2 </sup>= 0.5. Stepwise addition of 30-meter resolution elevation data values explained no more than 20% of the residual variation in measured NPP patterns at BEF. Both the Landsat 7 and the 250-meter resolution MODIS derived mean annual NPP predictions for the BEF plot locations were within ± 2.5% of the mean of plot estimates for annual NPP.</p> <p>Conclusion</p> <p>Although MODIS imagery cannot capture the spatial details of NPP across the network of closely spaced plot locations as well as Landsat, the MODIS satellite data as inputs to the NASA-CASA model does accurately predict the average annual productivity of a site like the BEF.</p> |
| first_indexed | 2024-12-14T03:46:55Z |
| format | Article |
| id | doaj.art-18bf10bc067d4015990161e2528c9c2e |
| institution | Directory Open Access Journal |
| issn | 1750-0680 |
| language | English |
| last_indexed | 2024-12-14T03:46:55Z |
| publishDate | 2007-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Carbon Balance and Management |
| spelling | doaj.art-18bf10bc067d4015990161e2528c9c2e2022-12-21T23:18:20ZengBMCCarbon Balance and Management1750-06802007-10-0121910.1186/1750-0680-2-9Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite dataGenovese VanessaGross PeggyPotter ChristopherSmith Marie-Louise<p>Abstract</p> <p>Background</p> <p>A simulation model that relies on satellite observations of vegetation cover from the Landsat 7 sensor and from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate net primary productivity (NPP) of forest stands at the Bartlett Experiment Forest (BEF) in the White Mountains of New Hampshire.</p> <p>Results</p> <p>Net primary production (NPP) predicted from the NASA-CASA model using 30-meter resolution Landsat inputs showed variations related to both vegetation cover type and elevational effects on mean air temperatures. Overall, the highest predicted NPP from the NASA-CASA model was for deciduous forest cover at low to mid-elevation locations over the landscape. Comparison of the model-predicted annual NPP to the plot-estimated values showed a significant correlation of R<sup>2 </sup>= 0.5. Stepwise addition of 30-meter resolution elevation data values explained no more than 20% of the residual variation in measured NPP patterns at BEF. Both the Landsat 7 and the 250-meter resolution MODIS derived mean annual NPP predictions for the BEF plot locations were within ± 2.5% of the mean of plot estimates for annual NPP.</p> <p>Conclusion</p> <p>Although MODIS imagery cannot capture the spatial details of NPP across the network of closely spaced plot locations as well as Landsat, the MODIS satellite data as inputs to the NASA-CASA model does accurately predict the average annual productivity of a site like the BEF.</p>http://www.cbmjournal.com/content/2/1/9 |
| spellingShingle | Genovese Vanessa Gross Peggy Potter Christopher Smith Marie-Louise Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data Carbon Balance and Management |
| title | Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data |
| title_full | Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data |
| title_fullStr | Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data |
| title_full_unstemmed | Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data |
| title_short | Net primary productivity of forest stands in New Hampshire estimated from Landsat and MODIS satellite data |
| title_sort | net primary productivity of forest stands in new hampshire estimated from landsat and modis satellite data |
| url | http://www.cbmjournal.com/content/2/1/9 |
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