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Your search keyword '"Neigh, Christopher S.R."' showing total 17 results
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5. Boreal forests

Author

Hayes, Daniel J., primary, Butman, David E., additional, Domke, Grant M., additional, Fisher, Joshua B., additional, Neigh, Christopher S.R., additional, and Welp, Lisa R., additional

Published
2022
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6. Contributors

Author

Ahlström, Anders, primary, Almeida, Mariana, additional, Andrew, Robbie, additional, Archibeque, Shawn, additional, Basso, Luana, additional, Bastos, Ana, additional, Bezerra, Francisco Gilney, additional, Birdsey, Richard, additional, Bowman, Kevin, additional, Bruhwiler, Lori M., additional, Brunner, Dominik, additional, Bun, Rostyslav, additional, Butman, David E., additional, Campbell, Donovan, additional, Canadell, Josep G., additional, Cardoso, Manoel, additional, Chatterjee, Abhishek, additional, Chevallier, Frédéric, additional, Ciais, Philippe, additional, Commane, Róisín, additional, Crippa, Monica, additional, Cunha-Zeri, Gisleine, additional, Domke, Grant M., additional, Euskirchen, Eugénie S., additional, Fisher, Joshua B., additional, Gilfillan, Dennis, additional, Hayes, Daniel J., additional, Holmquist, James R., additional, Houghton, Richard A., additional, Huntzinger, Deborah, additional, Ilyina, Tatiana, additional, Janardanan, Rajesh, additional, Janssens-Maenhout, Greet, additional, Jones, Matthew W., additional, Keppler, Lydia, additional, Kondo, Masayuki, additional, Kroeger, Kevin D., additional, Kurz, Werner, additional, Landschützer, Peter, additional, Lauerwald, Ronny, additional, Luyssaert, Sebastiaan, additional, MacBean, Natasha, additional, Maksyutov, Shamil, additional, Marland, Eric, additional, Marland, Gregg, additional, Miranda, Marcela, additional, Naipal, Victoria, additional, Naudts, Kim, additional, Neigh, Christopher S.R., additional, Neto, Eráclito Souza, additional, Nevison, Cynthia, additional, Niu, Shuli, additional, Oda, Tomohiro, additional, Ogle, Stephen M., additional, Ometto, Jean Pierre, additional, Ott, Lesley, additional, Pacheco, Felipe S., additional, Parmentier, Frans-Jan W., additional, Patra, Prabir K., additional, Petrescu, A.M. Roxana, additional, Pongratz, Julia, additional, Poulter, Benjamin, additional, Pugh, Thomas A.M., additional, Ramaswami, Anu, additional, Raymond, Peter A., additional, Rezende, Luiz Felipe, additional, Ribeiro, Kelly, additional, Roten, Dustin, additional, Schädel, Christina, additional, Schuur, Edward A.G., additional, Sitch, Stephen, additional, Smith, Pete, additional, Smith, William Kolby, additional, Taboada, Miguel, additional, Thompson, Rona L., additional, Tong, Kangkang, additional, Troxler, Tiffany G., additional, Tubiello, Francesco N., additional, Turner, Alexander J., additional, Villalobos, Yohanna, additional, von Randow, Celso, additional, Watts, Jennifer, additional, Welp, Lisa R., additional, Windham-Myers, Lisamarie, additional, and Zavala-Araiza, Daniel, additional

Published
2022
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12. Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology

Author

Forkel, Matthias, Carvalhais, Nuno, Verbesselt, Jan, Mahecha, Miguel D, Neigh, Christopher S.R, and Reichstein, Markus

Subjects
Earth Resources And Remote Sensing
Abstract

Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite dataset, the corresponding spatiotemporal resolution, and the applied statistical method. Here we compare the performance of a wide range of trend estimation methods and demonstrate that performance decreases with increasing inter-annual variability in the NDVI time series. Trend slope estimates based on annual aggregated time series or based on a seasonal-trend model show better performances than methods that remove the seasonal cycle of the time series. A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates. Based on our results, we give practical recommendations for the application of trend methods on long-term NDVI time series. Particularly, we apply and compare different methods on NDVI time series in Alaska, where both greening and browning trends have been previously observed. Here, the multi-method uncertainty of NDVI trends is quantified through the application of the different trend estimation methods. Our results indicate that greening NDVI trends in Alaska are more spatially and temporally prevalent than browning trends. We also show that detected breakpoints in NDVI trends tend to coincide with large fires. Overall, our analyses demonstrate that seasonal trend methods need to be improved against inter-annual variability to quantify changing trends in ecosystem productivity with higher accuracy.

Published
2013
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14. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone

Author

Duncan, Bryan N., primary, Ott, Lesley E., additional, Abshire, James B., additional, Brucker, Ludovic, additional, Carroll, Mark L., additional, Carton, James, additional, Comiso, Josefino C., additional, Dinnat, Emmanuel P., additional, Forbes, Bruce C., additional, Gonsamo, Alemu, additional, Gregg, Watson W., additional, Hall, Dorothy K., additional, Ialongo, Iolanda, additional, Jandt, Randi, additional, Kahn, Ralph A., additional, Karpechko, Alexey, additional, Kawa, Stephan R., additional, Kato, Seiji, additional, Kumpula, Timo, additional, Kyrölä, Erkki, additional, Loboda, Tatiana V., additional, McDonald, Kyle C., additional, Montesano, Paul M., additional, Nassar, Ray, additional, Neigh, Christopher S.R., additional, Parkinson, Claire L., additional, Poulter, Benjamin, additional, Pulliainen, Jouni, additional, Rautiainen, Kimmo, additional, Rogers, Brendan M., additional, Rousseaux, Cecile S., additional, Soja, Amber J., additional, Steiner, Nicholas, additional, Tamminen, Johanna, additional, Taylor, Patrick C., additional, Tzortziou, Maria A., additional, Virta, Henrik, additional, Wang, James S., additional, Watts, Jennifer D., additional, Winker, David M., additional, and Wu, Dong L., additional

Published
2020
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15. Climate Change Implications to Vegetation Production in Alaska

Author

Neigh, Christopher S.R

Subjects
Meteorology And Climatology
Abstract

Investigation of long-term meteorological satellite data revealed statistically significant vegetation response to climate drivers of temperature, precipitation and solar radiation with exclusion of fire disturbance in Alaska. Abiotic trends were correlated to satellite remote sensing observations of normalized difference vegetation index to understand biophysical processes that could impact ecosystem carbon storage. Warming resulted in disparate trajectories for vegetation growth due to precipitation and photosynthetically active radiation variation. Interior spruce forest low lands in late summer through winter had precipitation deficit which resulted in extensive fire disturbance and browning of undisturbed vegetation with reduced post-fire recovery while Northern slope moist alpine tundra had increased production due to warmer-wetter conditions during the late 1990s and early 2000s. Coupled investigation of Alaska s vegetation response to warming climate found spatially dynamic abiotic processes with vegetation browning not a result from increased fire disturbance.

Published
2008

16. An API for Spaceborne Sub-Meter Resolution Products for Earth Science

Author

Neigh, Christopher S.R., primary, Tucker, Compton J., additional, Carroll, Mark L., additional, Montesano, Paul M., additional, Slayback, Daniel A., additional, Wooten, Margaret R., additional, Lyapustin, Alexei I., additional, Shean, David E., additional, Alexandrov, Oleg, additional, and Macander, Matthew J., additional

Published
2019
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17. North American vegetation dynamics observed with multi-resolution satellite data

Author

Neigh, Christopher S.R., Tucker, Compton J., and Townshend, John R.G.

Subjects
*ADVANCED very high resolution radiometers, *VEGETATION mapping, *SPATIO-temporal variation, *CLIMATE change, *DROUGHTS, *ANTHROPOGENIC effects on nature, *DEFORESTATION, *LAND use mapping, *VEGETATION dynamics, MONITORING of vegetation greenness
Abstract

We investigated normalized difference vegetation index data from the NOAA series of Advanced Very High Resolution Radiometers and found regions in North America that experienced marked increases in annual photosynthetic capacity at various times from 1982 to 2005. Inspection of these anomalous areas with multi-resolution data from Landsat, Ikonos, aerial photography, and ancillary data revealed a range of causes for the NDVI increases: climatic influences; severe drought and subsequent recovery; irrigated agriculture expansion; insect outbreaks followed by logging and subsequent regeneration; and forest fires with subsequent regeneration. Vegetation in areas in the high Northern Latitudes appear to be solely impacted by climatic influences. In other areas examined, the impact of anthropogenic effects is more direct. The pattern of NDVI anomalies over longer time periods appear to be driven by long-term climate change but most appear to be associated with climate variability on decadal and shorter time scales along with direct anthropogenic land cover conversions. The local variability of drivers of change demonstrates the difficulty in interpreting changes in NDVI and indicates the complex nature of changes in the carbon cycle within North America. Coarse scale analysis of changes could well fail to identify the important local scale drivers controlling the carbon cycle and to identify the relative roles of disturbance and climate change. Our results document regional land cover land use change and climatic influences that have altered continental scale vegetation dynamics in North America. [Copyright &y& Elsevier]

Published
2008
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