Analysis of soil moisture patterns in forested and suburban catchments in Baltimore, Maryland, using high-resolution photogrammetric and LIDAR digital elevation datasets Export

@article{citeulike:764749, abstract = {Field observations of near-surface soil moisture, collected over several seasons in a watershed in suburban Maryland, are compared with values of the topographic soil moisture index generated using digital elevation models (DEMs) at a range of grid cell sizes from photogrammetric and light detection and ranging (LIDAR) data sources. A companion set of near-surface soil moisture observations, DEMs and topographic index values are also presented for a nearby forested catchment. The degree to which topographic index values are an effective indicator of near-surface soil moisture conditions varies in the two environments. The urbanizing environment requires topographic index values from a DEM with a much finer grid cell resolution than the LIDAR data can provide, and the relationship is stronger in wetter conditions. In the forested environment, the DEM resolution required is considerably lower and adequately supported by the photogrammetric data, and the relationship is strong under all moisture conditions. These results provide some insights into the length scales of near-surface hydrological processes in the urbanizing environment, and the resolution of terrain data required to model those processes. Copyright {\copyright} 2006 John Wiley \& Sons, Ltd.}, address = {Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA; Department of Geography and Geology, Western Kentucky University, Bowling Green, KY, USA; Department of Geography, San Diego State University, San Diego, CA, USA}, author = {Tenenbaum, D. E. and Band, L. E. and Kenworthy, S. T. and Tague, C. L.}, citeulike-article-id = {764749}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/hyp.5895}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/112396310/ABSTRACT}, doi = {10.1002/hyp.5895}, journal = {Hydrological Processes}, keywords = {dem, hydrology}, number = {2}, pages = {219--240}, posted-at = {2006-07-19 14:37:36}, priority = {2}, title = {Analysis of soil moisture patterns in forested and suburban catchments in Baltimore, Maryland, using high-resolution photogrammetric and LIDAR digital elevation datasets}, url = {http://dx.doi.org/10.1002/hyp.5895}, volume = {20}, year = {2006} }

TY - JOUR ID - citeulike:764749 L3 - citeulike-article-id:764749 N2 - Field observations of near-surface soil moisture, collected over several seasons in a watershed in suburban Maryland, are compared with values of the topographic soil moisture index generated using digital elevation models (DEMs) at a range of grid cell sizes from photogrammetric and light detection and ranging (LIDAR) data sources. A companion set of near-surface soil moisture observations, DEMs and topographic index values are also presented for a nearby forested catchment. The degree to which topographic index values are an effective indicator of near-surface soil moisture conditions varies in the two environments. The urbanizing environment requires topographic index values from a DEM with a much finer grid cell resolution than the LIDAR data can provide, and the relationship is stronger in wetter conditions. In the forested environment, the DEM resolution required is considerably lower and adequately supported by the photogrammetric data, and the relationship is strong under all moisture conditions. These results provide some insights into the length scales of near-surface hydrological processes in the urbanizing environment, and the resolution of terrain data required to model those processes. Copyright © 2006 John Wiley & Sons, Ltd. IS - 2 JF - Hydrological Processes AD - Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA; Department of Geography and Geology, Western Kentucky University, Bowling Green, KY, USA; Department of Geography, San Diego State University, San Diego, CA, USA EP - 240 TI - Analysis of soil moisture patterns in forested and suburban catchments in Baltimore, Maryland, using high-resolution photogrammetric and LIDAR digital elevation datasets VL - 20 SP - 219 KW - dem KW - hydrology AU - Tenenbaum, DE AU - Band, LE AU - Kenworthy, ST AU - Tague, CL PY - 2006/// UR - http://dx.doi.org/10.1002/hyp.5895 ER -