Tops from xml format



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TOPS from XML format

Acuña-Soto, R., Stahle, D. W., Therrell, M. D., & Diaz, J. V. (n.d.). 3 Historical, Scientific, and Technological Approaches to Studying the Climate-Disease Connection. Retrieved from http://www.ncbi.nlm.nih.gov/books/NBK45749/?report=printable

Augustine, D. J., Armstrong, W. E., Cully, J. F., & Antolin, M. F. (n.d.). Black-tailed Prairie Dog Habitat Suitability Modeling for the Southern Great Plains: Cross-scale Analysis of Soils, Topography and Climate. Retrieved from http://www.greatplainslcc.org/wp-content/uploads/2012/11/BTPD-Habitat-Suitability-Final-Report.pdf

Baccini, A., Carvalho, L., Dubayah, R., Goetz, S. J., & Friedl, M. A. (2011). Uncertainty Analysis in Large Area Aboveground Biomass Mapping. In AGU Fall Meeting Abstracts (Vol. 1, p. 4). Retrieved from http://www.science.gov/topicpages/a/aboveground+biomass+map.html

Badawy, B. (2014). Max-Planck-Institut für Biogeochemie. Retrieved from https://www.earthsystemschool.mpg.de/fileadmin/user_upload/Documents/Theses/73_Thesis_Badawy.pdf

Barker, C. M. (2008). Spatial and temporal patterns in mosquito abundance and virus transmission in California. ProQuest. Retrieved from http://books.google.com/books?hl=en&lr=&id=Zn6HW8K4KBAC&oi=fnd&pg=PA1&dq=“Terrestrial+Observation+and+Prediction+System”&ots=ApeZKQD3jA&sig=AOd2wTkqFDx_iC6T4yglSkhqojw

Barker, C. M., Johnson, W. O., Eldridge, B. F., Park, B. K., Melton, F., & Reisen, W. K. (2010). Temporal connections between Culex tarsalis abundance and transmission of western equine encephalomyelitis virus in California. The American Journal of Tropical Medicine and Hygiene, 82(6), 1185–1193. Retrieved from http://www.ajtmh.org/content/82/6/1185.short

Barker, C. M., Kramer, V. L., & Reisen, W. K. (2010). Decision support system for mosquito and arbovirus control in California. Retrieved from http://www.earthzine.org/2010/09/24/decision-support-system-for-mosquito-and-arbovirus-control-in-california/

Barker, C. M., Niu, T., Reisen, W. K., & Hartley, D. M. (2013). Data-Driven Modeling to Assess Receptivity for Rift Valley Fever Virus. PLoS Neglected Tropical Diseases, 7(11), e2515. Retrieved from http://dx.plos.org/10.1371/journal.pntd.0002515

Basson, G., Schmidt, C., & Skiles, J. W. (2008). Monitoring Resources in the Fremont-Winema National Forest and Yosemite National Park Using Satellite Imagery. Retrieved from http://digitalcommons.unl.edu/nasapub/41/

Batyreu, V., & Zenchanka, S. (2012). Modelling of Water Cycle Processes. In Climate Change and the Sustainable Use of Water Resources (pp. 473–483). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-22266-5_30

Berbel, J., & Mateos, L. (2014). Does investment in irrigation technology necessarily generate rebound effects? A simulation analysis based on an agro-economic model. Agricultural Systems, 128, 25–34. Retrieved from http://www.sciencedirect.com/science/article/pii/S0308521X14000493

Brillinger, D. R. (n.d.). Keynote Address: Risk Analysis in Geoscience and Remote Sensing.

Britten, M., Network, N. P. S. I. R. M., Comiskey, J., Network, N. P. S. I. M.-A., Marshall, M., Rivers, N. P. S. I. E., & Network, M. (2012). Using NASA resources to inform climate and land use adaptation: Ecological forecasting, vulnerability assessment, and evaluation of management options across two US DOI Landscape Conservation Cooperatives. Retrieved from http://www.montana.edu/lccvp/documents/PROJECTPLANHansenetalLCC_VP.final.pdf

Cabello, J., Fernández, N., Alcaraz-Segura, D., Oyonarte, C., Pineiro, G., Altesor, A., … Paruelo, J. M. (2012). The ecosystem functioning dimension in conservation: insights from remote sensing. Biodiversity and Conservation, 21(13), 3287–3305. Retrieved from http://link.springer.com/article/10.1007/s10531-012-0370-7

Carvalho, A. C. V. R. (2010). A detecção remota e os SIG na produção animal-análise da contribuição e situação actual. Retrieved from http://run.unl.pt/handle/10362/4039

Charland, K. M., Buckeridge, D. L., Hoen, A. G., Berry, J. G., Elixhauser, A., Melton, F., & Brownstein, J. S. (2013). Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza-related hospitalizations in the United States. Influenza and Other Respiratory Viruses, 7(5), 718–728. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/irv.12019/full

Charland, K. M. L., Buckeridge, D. L., Sturtevant, J. L., Melton, F., Reis, B. Y., Mandl, K. D., & Brownstein, J. S. (2009). Effect of environmental factors on the spatio-temporal patterns of influenza spread. Epidemiology and Infection, 137(10), 1377–1387. Retrieved from http://journals.cambridge.org/abstract_S0950268809002283

Clark, J. (2013). Effects of climate change on the habitats of the invasive species Ailanthus altissima along the Appalachian Trail. Retrieved from http://digitalcommons.uri.edu/theses/79/

Clark, J., Wang, Y., & August, P. V. (2014). Assessing current and projected suitable habitats for tree-of-heaven along the Appalachian Trail. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643), 20130192. Retrieved from http://rstb.royalsocietypublishing.org/content/369/1643/20130192.short

Colditz, R. R., Acosta-Velázquez, J., Díaz Gallegos, J. R., Vázquez Lule, A. D., Rodríguez-Zúñiga, M. T., Maeda, P., … Ressl, R. (2012). Potential effects in multi-resolution post-classification change detection. International Journal of Remote Sensing, 33(20), 6426–6445. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/01431161.2012.688148

Cóndor, P.-E. (n.d.). 4. Gestión de ecosistemas de montaña para la regulación del agua, el clima y la conservación de policultivos tradicionales en la Reserva de Biosfera Podocarpus-El Cóndor. Retrieved from http://www.proyungas.org.ar/publicaciones/pdf/libroreservasdebiosfera/81-160Libro.pdf

Coombs, A. (2008). Climate change concerns prompt improved disease forecasting. Nature Medicine, 14(1), 3–3. Retrieved from http://www.nature.com/nm/journal/v14/n1/full/nm0108-3.html

Crabtree, R. L., Sheldon, J. W., & Wang, Y. (2012). Monitoring and modeling environmental change in protected areas: integration of focal species populations and remote sensing. Remote Sensing of Protected Lands. CRC Press, Boca Raton, Florida, 495–524. Retrieved from http://jennifersheldon.org/backend42/wp-content/uploads/2011/11/Remote-Sensing-and-Protected-Areas_2012.pdf

Crabtree, R., Potter, C., Mullen, R., Sheldon, J., Huang, S., Harmsen, J., … Jean, C. (2009). A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator. Remote Sensing of Environment, 113(7), 1486–1496. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442570900056X

Craciunescu, V., Brown, H. E., Comrie, A. C., Zelicoff, A., Ward, T. G., Ragain, R. M., … others. (2012). Information and decision support systems. Environmental Tracking for Public Health Surveillance, 11, 369. Retrieved from http://books.google.com/books?hl=en&lr=&id=_uulk6BSWnwC&oi=fnd&pg=PA369&dq=“Terrestrial+Observation+and+Prediction+System”&ots=p95bHtI0qY&sig=MYhTHqFCS3VeADA4pWxbVt_nL5E

Cuenca, R. H., Ciotti, S. P., & Hagimoto, Y. (2013). Application of Landsat to evaluate effects of irrigation forbearance. Remote Sensing, 5(8), 3776–3802. Retrieved from http://www.mdpi.com/2072-4292/5/8/3776/htm

Danner, E. M., Melton, F. S., Pike, A., Hashimoto, H., Michaelis, A., Rajagopalan, B., … Nemani, R. R. (2012). River temperature forecasting: A coupled-modeling framework for management of river habitat. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 5(6), 1752–1760. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6373767

Danner, E., Pike, A., Lindley, S., Mendelssohn, R., Dewitt, L., Melton, F. S., … Hashimoto, H. (2010). River water temperature and fish growth forecasting models. In AGU Fall Meeting Abstracts (Vol. 1, p. 974). Retrieved from http://adsabs.harvard.edu/abs/2010AGUFM.H31A0974D

Data, A. T. G. (2014). TOPS_Derivatives> Climate and Vegetation Variations> Time series of temperature, precipitation and NDVI (1982-2006). Retrieved from http://www.edc.uri.edu/atmt-dss/Timeseries_temperature.html

Di Blasi, S. (2012). La ricerca applicata ai vini di qualità (Vol. 124). Firenze University Press. Retrieved from http://books.google.com/books?hl=en&lr=&id=myHDc51q5mQC&oi=fnd&pg=PP1&dq=“Terrestrial+Observation+and+Prediction+System”&ots=Wc7S2g0w22&sig=bMAs-IcPYLCaOdKAoARGRpJuU2s

Diuk-Wasser, M. A., Vourc’h, G., Cislo, P., Hoen, A. G., Melton, F., Hamer, S. A., … others. (2010). Field and climate-based model for predicting the density of host-seeking nymphal Ixodes scapularis, an important vector of tick-borne disease agents in the eastern United States. Global Ecology and Biogeography, 19(4), 504–514. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/j.1466-8238.2010.00526.x/full

Dominici, R., Worthley, J. S., Barba, T., O’Brien, W., Ornellas, L., Walsh, H., & Watson, R. A. (2011). STU DY AGENCY. Retrieved from http://www.valleyair.org/Board_meetings/Study Agency/agendas/2011/December/SA_Agenda_12_Dec_15_2011.pdf

Dungan, J. L., Wang, W., Hashimoto, H., Michaelis, A., Milesi, C., Ichii, K., & Nemani, R. R. (2009). Convergence and Divergence in a Multi-Model Ensemble of Terrestrial Ecosystem Models in North America. In AGU Fall Meeting Abstracts (Vol. 1, p. 334). Retrieved from http://adsabs.harvard.edu/abs/2009AGUFM.B51D0334D

Dungan, J. L., Wang, W., Michaelis, A., Votava, P., & Nemani, R. (n.d.). Sources of uncertainty in predicting land surface fluxes using diverse data and models. Retrieved from http://www.spatial-accuracy.org/system/files/img-X03141034_0.pdf

Dungan, J. L., Wang, W., Michaelis, A., Votava, P., & Nemani, R. (2010). Sources of Uncertainty in Predicting Land Surface Fluxes Using Diverse Data and Models. Retrieved from http://ntrs.nasa.gov/search.jsp?R=20100036784

Enterprise, M. R., & Areas, S. R. I. I. (n.d.). 4.1. CURRENT STATUS OF R&D IN MONTANA. Retrieved from http://montanaioe.org/sites/default/files/resources/4.0 INSTEP III Project Description.pdf

Eschtruth, A. K., Cleavitt, N. L., Battles, J. J., Evans, R. A., & Fahey, T. J. (2006). Vegetation dynamics in declining eastern hemlock stands: 9 years of forest response to hemlock woolly adelgid infestation. Canadian Journal of Forest Research, 36(6), 1435–1450. Retrieved from http://www.nrcresearchpress.com/doi/abs/10.1139/x06-050

Fan, H., Di, L., Yang, W., Bonnlander, B., & Li, X. (2007). Use of binary logistic regression technique with MODIS data to estimate wild fire risk. In International Symposium on Multispectral Image Processing and Pattern Recognition (p. 67863L–67863L). International Society for Optics and Photonics. Retrieved from http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=827210

Fortner, R. W., & Manzo, L. (2011). Great lakes literacy principles. Eos, Transactions American Geophysical Union, 92(13), 109–110. Retrieved from http://onlinelibrary.wiley.com/doi/10.1029/2011EO130002/full

FRENCH, N. H. F., BOURGEAU—CHAVEZ, L. L., FALKOWSKI, M. J., Goetz, S., JENKINS, L. K., Camill, P., … Brown, D. G. (2013). Remote sensing for mapping and modeling of land-based carbon flux and storage. Land Use and the Carbon Cycle: Advances in Integrated Science, Management, and Policy, 95. Retrieved from http://books.google.com/books?hl=en&lr=&id=Ir8gAwAAQBAJ&oi=fnd&pg=PA95&dq=“Terrestrial+Observation+and+Prediction+System”&ots=ze1YAFuNFG&sig=s356pu2J_mzlLZzvPdOrVI7QrjE

Friggens, M. M., Pinto, J. R., Dumroese, R. K., & Shaw, N. L. (2012). Decision support: vulnerability, conservation, and restoration. Climate Change in Grasslands, Shrublands, and Deserts of the Interior American West: A Review and Needs Assessment, 116. Retrieved from http://www.buffelgrass.org/sites/default/files/FS-Grassland-Report-rmrs_gtr285.pdf#page=122

Fukuda, K. (2013). 22 Promoting Risk Insurance in the Asia-Pacific Region: Lessons from the Ground for the Future Climate Regime under UNFCCC. Climate Change Adaptation in Practice: From Strategy Development to Implementation, 303. Retrieved from http://books.google.com/books?hl=en&lr=&id=dDTlL9qXex8C&oi=fnd&pg=PA303&dq=“Terrestrial+Observation+and+Prediction+System”&ots=RlqBynXe1e&sig=pQQoC1ujRkJEdgNf8GaqCNxTw9M

Gallego, F., Alcaraz-Segura, D., Baeza, S., Altesor, A., Bagnato, C., Paruelo, J. M., & Aires, T. B. (2011). Tendencias temporales y anomalías espaciales del funcionamiento ecosistémico en dos áreas protegidas de Uruguay. Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR), 3127–3134. Retrieved from http://marte.dpi.inpe.br/col/dpi.inpe.br/marte/2011/07.15.18.57/doc/p0892.pdf

Geller, G. N., & Melton, F. (2008). Looking forward: Applying an ecological model web to assess impacts of climate change. Biodiversity, 9(3-4), 79–83. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/14888386.2008.9712910

Geller, G. N., & Nemani, R. (2009). COS 75-9: The ecological model web: Facilitating a modeling infrastructure. In The 94th ESA Annual Meeting. Retrieved from http://esameetings.allenpress.com/2009/Paper19582.html

Geller, G. N., & Turner, W. (2007). The model web: a concept for ecological forecasting. In Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International (pp. 2469–2472). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4423343

Gharib, S. H., von Schübelbach, S. Z., Itten, K. I., Zimmermann, N. E., & Kneubühler, M. (n.d.). ESTIMATION OF ECOLOGICALLY RELEVANT LAND COVER VARIABLES FROM IMAGING SPECTROSCOPY. Retrieved from http://www.geo.uzh.ch/fileadmin/files/content/abteilungen/rsl1/Publications/PhD_Theses/2008_SilviaHuber.pdf

Glenn, E. P., Neale, C. M. U., Hunsaker, D. J., & Nagler, P. L. (2011). Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems. Hydrological Processes, 25(26), 4050–4062. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/hyp.8392/full

Glick, P., & Stein, B. (2010). Scanning the conservation horizon: a guide to climate change vulnerability assessment. National Wildlife Federation, 168pp. Retrieved from http://www.esa.org/ecoSource/wp-content/uploads/NWF_Scanning_the_Conservation_Horizon.pdf

Goetz, S. J., Bond-Lamberty, B., Law, B. E., Hicke, J. A., Huang, C., Houghton, R. A., … others. (2012). Observations and assessment of forest carbon dynamics following disturbance in North America. Journal of Geophysical Research: Biogeosciences (2005–2012), 117(G2). Retrieved from http://onlinelibrary.wiley.com/doi/10.1029/2011JG001733/full

Goetz, S., Melton, F., Wang, W., Milesi, C., & Theobald, D. (2009). Modeling Strategies for Adaptation to Coupled Climate and Land Use Change in the United States. In Proc/of the World Bank 2009 Marseille Cities and Climate Change Urban Research Symposium, World Bank, http://www. urs2009. net/papers. html. Retrieved from https://nex.nasa.gov/nex/static/media/publication/Goetz_et_2009.pdf

Golden, K. (2002). DPADL: An action language for data processing domains. In Proceedings of the 3rd NASA Intl. Planning and Scheduling workshop (pp. 28–33). Citeseer.

Golden, K., Brafman, R., & Pang, W. (2005). Preferences in Data Production Planning. In Multidisciplinary IJCAI-05 Workshop on Advances in Preference Handling. Retrieved from http://ti.arc.nasa.gov/m/pub-archive/1004h/1004 (Golden).pdf

Golden, K., Nemani, R., Pang, W., & Votava, P. (2005). Intelligent Agents for Science Data Processing. In AGU Fall Meeting Abstracts (Vol. 1, p. 314). Retrieved from http://adsabs.harvard.edu/abs/2005AGUFMIN41A0314G

Golden, K., & Pang, W. (2004). A Hybrid Constraint Representation and Reasoning Framework.

Golden, K., Pang, W., Nemani, R., & Votava, P. (2003). Automating the processing of earth observation data. In Intl Symposium on Artificial Intelligence, Robotics, and Automation in Space (i-SAIRAS). Retrieved from http://ti.arc.nasa.gov/m/pub-archive/490h/0490 (Golden).pdf

Golden, K., Pang, W., & Votava, R. N. P. (2003). Automated Data Processing as an AI Planning Problem. NASA, Avalaible at: Http://ase. Arc. Nasa. gov/publications/pdf/0629. Pdf.

Gonzalez-Dugo, M. P., Escuin, S., Cano, F., Cifuentes, V., Padilla, F. L. M., Tirado, J. L., … Mateos, L. (2013). Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale. Agricultural Water Management, 125, 92–104. Retrieved from http://www.sciencedirect.com/science/article/pii/S0378377413000929

Graves, S., He, M. Y., Hardin, D., Sever, T., & Irwin, D. (n.d.). SERVIR at the Age of Four: The Development of an Environmental Monitoring and Visualization System for Mesoamerica. Retrieved from http://esto.nasa.gov/conferences/nstc2007/papers/Hardin_Danny_A1P4_NSTC-07-0035.pdf

Great Northern, L. C. C., Olliff, T., Network, N. P. S. I. A. H., Emmott, R., Rivers, N. P. S. I. E., Network, M., … others. (n.d.). Using NASA resources to inform climate and land use adaptation: Ecological forecasting, vulnerability assessment, and evaluation of management options across two US DOI Landscape Conservation Cooperatives. Retrieved from http://www.montana.edu/lccvp/documents/HansenetalInitialAssessmentReport.Final.docx

Grimm, N. B., Chapin III, F. S., Bierwagen, B., Gonzalez, P., Groffman, P. M., Luo, Y., … others. (2013). The impacts of climate change on ecosystem structure and function. Frontiers in Ecology and the Environment, 11(9), 474–482. Retrieved from http://www.esajournals.org/doi/abs/10.1890/120282

Gu, L., Hanson, P. J., Mac Post, W., Kaiser, D. P., Yang, B., Nemani, R., … Meyers, T. (2008). The 2007 eastern US spring freeze: increased cold damage in a warming world? BioScience, 58(3), 253–262. Retrieved from http://bioscience.oxfordjournals.org/content/58/3/253.short

Gu, Y., Brown, J. F., Miura, T., Van Leeuwen, W. J. D., & Reed, B. C. (2010). Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data. Remote Sensing, 2(2), 526–544. Retrieved from http://www.mdpi.com/2072-4292/2/2/526

Gutman, G., Justice, C., & King, L. (2012). 25 The NASA Land-Cover and. Remote Sensing of Land Use and Land Cover: Principles and Applications, 379. Retrieved from http://books.google.com/books?hl=en&lr=&id=WZkEO9yZxS4C&oi=fnd&pg=PA379&dq=“Terrestrial+Observation+and+Prediction+System”&ots=PuajMdqlFP&sig=OtyG_1Ednqb11hSaR61Bv55jNjM

Hall, B. L., Brown, T. J., & Bradshaw, L. S. (2005). Development of US operational fire danger 15-day forecasts. CEFA Report, 05–02. Retrieved from http://cefa.dri.edu/Publications/Task09_report.pdf

Hall, B. L., Brown, T. J., Bradshaw, L. S., Jolly, W. M., & Nemani, R. (n.d.). J11. 10 NATIONAL STANDARDIZED ENERGY RELEASE COMPONENT FORECASTS. Retrieved from http://www.researchgate.net/publication/238087898_NATIONAL_STANDARDIZED_ENERGY_RELEASE_COMPONENT_FORECASTS/file/60b7d52b0d8247b9a5.pdf

Han, Y., Wang, Y., & Zhao, Y. (2010). Estimating soil moisture conditions of the greater Changbai Mountains by land surface temperature and NDVI. Geoscience and Remote Sensing, IEEE Transactions on, 48(6), 2509–2515. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5427082

Hannah, L., Midgley, G., Andelman, S., Araújo, M., Hughes, G., Martinez-Meyer, E., … Williams, P. (2007). Protected area needs in a changing climate. Frontiers in Ecology and the Environment, 5(3), 131–138. Retrieved from http://www.esajournals.org/doi/abs/10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2

Hansen, A. J., Goetz, S. J., Gross, J. E., Theobald, D. T., Melton, F. S., & Nemani, R. R. (2006). Ecological condition of US National Parks: Enhancing decision support through monitoring, analysis, and forecasting.

Hartley, D. M., Barker, C. M., Le Menach, A., Niu, T., Gaff, H. D., & Reisen, W. K. (2012). Effects of temperature on emergence and seasonality of West Nile virus in California. The American Journal of Tropical Medicine and Hygiene, 86(5), 884–894. Retrieved from http://www.ajtmh.org/content/86/5/884.short

Hashimoto, H., Milesi, C., Wang, W., Ganguly, S., Michaelis, A., & Nemani, R. (2011). Vegetation response to climate variability in India from 2001 to 2010. In AGU Fall Meeting Abstracts (Vol. 1, p. 593). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFM.B13C0593H

Hashimoto, H., & others. (2009). Monitoring and forecasting climate impacts on ecosystem dynamics in protected areas using the terrestrial observation and prediction system. Remote Sensing of Protected Lands, 523–540.

Hashimoto, H., Wang, W., Melton, F., Milesi, C., Michaellis, A., & Nemani, R. (2008). Initializing Weather Research and Forecasting (WRF) model with land surface conditions from the Terrestrial Observation and PredictionSystem (TOPS). In AGU Fall Meeting Abstracts (Vol. 1, p. 807). Retrieved from http://adsabs.harvard.edu/abs/2008AGUFM.H11E0807H

Hashimoto, H., Wang, W., Michaelis, A. R., Melton, F. S., Ichii, K., & Nemani, R. R. (2007). Estimating evapotranspiration over Yosemite National Park using a regional ecosystem model driven by satellite-based climate data. In AGU Fall Meeting Abstracts (Vol. 1, p. 1596). Retrieved from http://adsabs.harvard.edu/abs/2007AGUFM.B33D1596H

Hashimoto, H., Wang, W., Milesi, C., Xiong, J., Ganguly, S., Zhu, Z., & Nemani, R. R. (2013). Structural uncertainty in model-simulated trends of global gross primary production. Remote Sensing, 5(3), 1258–1273. Retrieved from http://www.mdpi.com/2072-4292/5/3/1258/htm

HAYNES, J. A. (2010). NASA SA℡LITE OBSERVATIONS FOR CLIMATE RESEARCH AND APPLICATIONS non PUBLIC HEALTH. In International Seminar on Planetary Emergencies-42nd Session (p. 407). World Scientific. Retrieved from http://books.google.com/books?hl=en&lr=&id=E3PfuJmNuOcC&oi=fnd&pg=PA407&dq=“Terrestrial+Observation+and+Prediction+System”&ots=Z7M5mwSgvM&sig=nAuzkYZhdpDC3c6P9lKLQ1ypBmc

He, Y., Liu, F., & Wu, D. (2013). Nutrition Management and Automation. Agricultural Automation: Fundamentals and Practices, 231. Retrieved from http://books.google.com/books?hl=en&lr=&id=qYvThP8PoqkC&oi=fnd&pg=PA231&dq=“Terrestrial+Observation+and+Prediction+System”&ots=Qpla0kl3cR&sig=zdnuyqC1XJ1wHJwBUCdQfEkk4Gc

Hiatt, S. H., Ganguly, S., Melton, F. S., Michaelis, A., Milesi, C., Nemani, R. R., … others. (2010). An Open Source Platform for Earth Science Research and Applications. In AGU Fall Meeting Abstracts (Vol. 1, p. 1168). Retrieved from http://adsabs.harvard.edu/abs/2010AGUFMIN53B1168H

Hiatt, S. H., Guzman, A., Melton, F. S., Michaelis, A., Nemani, R., Johnson, L., … others. (2011). Web Services for Satellite Irrigation Monitoring and Management Support. In AGU Fall Meeting Abstracts (Vol. 1, p. 1297). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFMIN11B1297H

Hiatt, S. H., Hashimoto, H., Melton, F. S., Michaelis, A., Milesi, C., Nemani, R. R., … Wang, W. (2009). Enhanced Access to Earth Science Data through Standards-based Web Services and Applications. In AGU Fall Meeting Abstracts (Vol. 1, p. 1069). Retrieved from http://adsabs.harvard.edu/abs/2009AGUFMIN23B1069H

Hiatt, S. H., Hashimoto, H., Melton, F. S., Michaelis, A. R., Milesi, C., Nemani, R. R., & Wang, W. (2008). Building Geospatial Web Services for Ecological Monitoring and Forecasting. In AGU Fall Meeting Abstracts (Vol. 1, p. 1151). Retrieved from http://adsabs.harvard.edu/abs/2008AGUFMIN31C1151H

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