Title
Modis-Based Spatiotemporal Patterns Of Soil Moisture And Evapotranspiration Interactions In Tampa Bay Urban Watershed
Keywords
Climate change; Coastal watershed; Ecohydrology; Remote sensing; Urban sustainability
Abstract
Soil moisture and evapotranspiration (ET) is affected by both water and energy balances in the soilvegetation- atmosphere system, it involves many complex processes in the nexus of water and thermal cycles at the surface of the Earth. These impacts may affect the recharge of the upper Floridian aquifer. The advent of urban hydrology and remote sensing technologies opens new and innovative means to undertake eventbased assessment of ecohydrological effects in urban regions. For assessing these landfalls, the multispectral Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing images can be used for the estimation of such soil moisture change in connection with two other MODIS products - Enhanced Vegetation Index (EVI), Land Surface Temperature (LST). Supervised classification for soil moisture retrieval was performed for Tampa Bay area on the 2 kmx2km grid with MODIS images. Machine learning with genetic programming model for soil moisture estimation shows advances in image processing, feature extraction, and change detection of soil moisture. ET data that were derived by Geostationary Operational Environmental Satellite (GOES) data and hydrologic models can be retrieved from the USGS web site directly. Overall, the derived soil moisture in comparison with ET time series changes on a seasonal basis shows that spatial and temporal variations of soil moisture and ET that are confined within a defined region for each type of surfaces, showing clustered patterns and featuring space scatter plot in association with the land use and cover map. These concomitant soil moisture patterns and ET fluctuations vary among patches, plant species, and, especially, location on the urban gradient. Time series plots of LST in association with ET, soil moisture and EVI reveals unique ecohydrological trends. Such ecohydrological assessment can be applied for supporting the urban landscape management in hurricane-stricken regions. © 2011 SPIE.
Publication Date
12-1-2011
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
8156
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.891870
Copyright Status
Unknown
Socpus ID
84855447598 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84855447598
STARS Citation
Chang, Ni Bin; Xuan, Zhemin; and Wimberly, Brent, "Modis-Based Spatiotemporal Patterns Of Soil Moisture And Evapotranspiration Interactions In Tampa Bay Urban Watershed" (2011). Scopus Export 2010-2014. 2271.
https://stars.library.ucf.edu/scopus2010/2271