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Funded Research

Assessing ecosystem diversity and urban boundaries using surface reflectance and emissivity at varying spectral and spatial scales

Campbell, Petya: NASA GSFC / UMBC JCET (Project Lead)

Project Funding: 2010 - 2012

NRA: 2009 NASA: HyspIRI Preparatory Activities Using Existing Imagery   

Funded by NASA

Abstract:
With the increase in the population density and the ever expanding conversion of land from rural to urban, the urban heat island (UHI) effect has become a problem of critical importance. Land cover type and land surface temperature (LST) in urban and rural areas display significant differences, such as higher LST and lower moisture content, with increasing urbanization. The combination of high spectral resolution optical and thermal infrared imagery of the proposed HyspIRI mission will provide a powerful capability for more precise land cover type discrimination and ecosystem monitoring than possible using current satellite systems, such as mapping of cover types, aquatic and terrestrial ecosystem identification, vegetation/soil nutrient and moisture content determinations and assessment of the ecosystems function and health. In preparation for HyspIRI data use, and to contribute toward the development of the mission’s concepts, this study will assemble existing data from air-borne (AVIRIS, MASTER) and space-borne (EO-1 Hyperion and ASTER) systems. The selected scenes cover both rural and urban environments. The goals are: 1) to generate HyspIRI-like data sets; 2) characterize the ecosystems biodiversity composition and functional groups and delineate urban and rural ecosystems; 3) determine the relationship between spectral and thermal properties of urban and rural ecosystems and of individual functional types within an ecosystem; and 4) assess the capabilities of spectral indicators of vegetation bio-physical properties and health, derived from HyspIRI-like data. To evaluate the benefit of combining high spectral resolution optical and thermal into HyspIRI-like data, 60 m spatial resolution data, from two independent locations with different regional climate and ecosystem types, will be compared to data for the same locations aggregated to higher and lower spatial scales. By fusion of spectroscopy and thermal remote sensing, this study will assess the potential of HyspIRI-like data for delineating land covers and vegetation types, discriminating natural versus urban ecosystems, and assessing ecosystems diversity and health.

Publications:

Campbell, P. K. E., Middleton, E. M., McMurtrey, J. E., Corp, L. A., Chappelle, E. W. 2007. Assessment of Vegetation Stress Using Reflectance or Fluorescence Measurements. Journal of Environmental Quality. 36(3), 832-845. DOI: 10.2134/jeq2005.0396

Campbell, P. K. E., Middleton, E. M., Thome, K. J., Kokaly, R. F., Huemmrich, K. F., Lagomasino, D., Novick, K. A., Brunsell, N. A. 2013. EO-1 Hyperion Reflectance Time Series at Calibration and Validation Sites: Stability and Sensitivity to Seasonal Dynamics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2), 276-290. DOI: 10.1109/jstars.2013.2246139

Campbell, P. K., Middleton, E. M., Corp, L. A., Kim, M. S. 2008. Contribution of chlorophyll fluorescence to the apparent vegetation reflectance. Science of The Total Environment. 404(2-3), 433-439. DOI: 10.1016/j.scitotenv.2007.11.004

Corp, L. A., Middleton, E. M., Campbell, P. K. E., Huemmrich, K. F., Cheng, Y., Daughtry, C. S. T. 2009. Remote sensing techniques to monitor nitrogen-driven carbon dynamics in field corn. Remote Sensing and Modeling of Ecosystems for Sustainability VI. DOI: 10.1117/12.825508

Franks, S., Neigh, C., Campbell, P., Sun, G., Yao, T., Zhang, Q., Huemmrich, K., Middleton, E., Ungar, S., Frye, S. 2017. EO-1 Data Quality and Sensor Stability with Changing Orbital Precession at the End of a 16 Year Mission. Remote Sensing. 9(5), 412. DOI: 10.3390/rs9050412

Huemmrich, K. F., Campbell, P. E., Voorhies, S. K., Landis, D. R., Middleton, E. M. 2018. Describing prairie C4 plant species area coverage using hyperspectral reflectance. International Journal of Remote Sensing. 39(23), 8615-8626. DOI: 10.1080/01431161.2018.1488294

Huemmrich, K. F., Gamon, J. A., Tweedie, C. E., Campbell, P. K. E., Landis, D. R., Middleton, M. 2013. Arctic Tundra Vegetation Functional Types Based on Photosynthetic Physiology and Optical Properties. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2), 265-275. DOI: 10.1109/jstars.2013.2253446

Jarnevich, C. S., Esaias, W. E., Ma, P. L. A., Morisette, J. T., Nickeson, J. E., Stohlgren, T. J., Holcombe, T. R., Nightingale, J. M., Wolfe, R. E., Tan, B. 2013. Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north. Diversity and Distributions. 20(2), 193-201. DOI: 10.1111/ddi.12143

Middleton, E. M., Cheng, Y., Corp, L. A., Campbell, P. K., Huemmrich, K. F., Zhang, Q., Kustas, W. P. 2012. Canopy level Chlorophyll Fluorescence and the PRI in a cornfield. 2012 IEEE International Geoscience and Remote Sensing Symposium. DOI: 10.1109/igarss.2012.6352022

Middleton, E. M., Corp, L. A., Campbell, P. K. E. 2010. Comparison of measurements and FluorMOD simulations for solar-induced chlorophyll fluorescence and reflectance of a corn crop under nitrogen treatments. International Journal of Remote Sensing. 29(17-18), 5193-5213. DOI: 10.1080/01431160802036524

Nam, W., Hong, E., Baigorria, G. A. 2015. How climate change has affected the spatio-temporal patterns of precipitation and temperature at various time scales in North Korea. International Journal of Climatology. 36(2), 722-734. DOI: 10.1002/joc.4378

Neigh, C. S. R., McCorkel, J., Campbell, P. K. E., Ong, L., Ly, V., Landis, D., Middleton, E. M. 2016. Monitoring Orbital Precession of EO-1 Hyperion With Three Atmospheric Correction Models in the Libya-4 PICS. IEEE Geoscience and Remote Sensing Letters. 13(12), 1797-1801. DOI: 10.1109/lgrs.2016.2612539

Nightingale, J. M., Esaias, W. E., Wolfe, R. E., Nickeson, J. E., Ma, P. L. A. 2008. Assessing Honey Bee Equilibrium Range and Forage Supply using Satelite-Derived Phenology. IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. DOI: 10.1109/igarss.2008.4779460


2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • Hyperspectral Data as a Tool for Assessment of Temporal Changes in Norway Spruce Forest Conditions in a Historically Heavily Polluted Mountainous Region of Czech Republic Affected by Long-Term Acidic Deposition   --   (Jana Albrechtova, Zuzana Lhotakova, Jan Misurec, Veronica Kopackova, Petya Krasteva Entcheva Campbell, Magda Edwards-Jonášová, Lucie Kupková, Lucie Červená, Markéta Potůčková, Pavel Cudlín)   [abstract]   [poster]
  • EO-1 Hyperion spectral time series for remote sensing of vegetation function and carbon flux dynamics   --   (Petya Krasteva Entcheva Campbell, Elizabeth M. Middleton, Karl Fred Huemmrich, Sergio Bernardes, Qingyuan Zhang, Lawrence Ong)   [abstract]   [poster]
  • Automated optical sensing of the dynamics in vegetation fluorescence, reflectance and temperature, indicative of ecosystem function and carbon assimilation   --   (Petya Krasteva Entcheva Campbell, Elizabeth M. Middleton, Karl Fred Huemmrich, Lawrence A Corp, Qingyuan Zhang, Sergio Bernardes, David Landis)   [abstract]   [poster]
  • The South Central and Eastern European Regional Information Network (SCERIN)   --   (Petya Krasteva Entcheva Campbell, Jana Albrechtova, Ioan Abrudan)   [abstract]   [poster]
  • Next Generation UAV Based Spectral Systems for Environmental Monitoring   --   (Petya Campbell, Philip Townsend, Dan Mandl, Clayton Kingdon, Vuong Ly, Robert Shlberg, Jyoteshwar Nagol, Vincent Ambrosia, Stuart Frye, Lwrence Ong, Lawrence Corp, Pat Cappelaere, Felix Navarro)   [abstract]   [poster]

2011 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • Assessing ecosystem diversity and urban boundaries using surface reflectance and emissivity at varying spectral and spatial scales   --   (Petya Krasteva Entcheva Campbell)   [abstract]   [poster]
  • EO-1 Hyperion capturing seasonal dynamics in vegetation phenology and spectral properties, associated with CO2 uptake in three different ecosystems   --   (Petya Krasteva Entcheva Campbell, Elizabeth M. Middleton, Karl Fred Huemmrich)   [abstract]   [poster]

More details may be found in the following project profile(s):