GIS / Remote Sensing Tag
GIS / Remote Sensing is one of more than 16 discipline tags that we use to categorize and aggregate our interdisciplinary information within and across CZOs. Much of our information has been tagged with 2-3 disciplines.
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IML People - GIS / Remote Sensing
7 People
INVESTIGATOR
.(JavaScript must be enabled to view this email address), 217-244-2786
Heterogeneities in Geologic Systems, Hydrogeology of Glacial Sediments, Uncertainty in Geologic Data
GRAD STUDENT
.(JavaScript must be enabled to view this email address)
Univ of Illinois
Geography and Geographic Information Science
INVESTIGATOR
.(JavaScript must be enabled to view this email address), 217-333-0235
Hydrogeology and Geophysics
INVESTIGATOR
.(JavaScript must be enabled to view this email address), 217-419-2571
Soil and water engineering, geographical information systems, and robotics
INVESTIGATOR
.(JavaScript must be enabled to view this email address), 217-244-6462
ISGS
Quaternary and Engineering Geology
Univ of Illinois
Engineering and remote sensing, hydrology
GRAD STUDENT
.(JavaScript must be enabled to view this email address)
Univ of Illinois
Geography and Geographic Information Science
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IML Data - GIS / Remote Sensing
No datasets with this discipline tag have been entered yet
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IML Publications - GIS / Remote Sensing
2019
Characterizing Relative Degrees of Clumping Structure in Vegetation Canopy using Waveform LiDAR. Wang, K. and Kumar, P. (2019): Remote Sensing of Environment
2018
Understanding saturated hydraulic conductivity under seasonal changes in climate and land use. Elhakeem, M., Papanicolaou, A.N., Wilson, C.G., Chang, Y.-J., Burras, L., Abban, B., Wysocki, D.A., and Wills, S. (2018): Geoderma
2016
Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data. Dutta, D., Wang, K., Lee, E., Goodwell, A., Woo, D.K., Wagner, D., and Kumar, P. (2016): IEEE Transactions on Geoscience and Remote Sensing
2015
Using field and remotely sensed hyperspectral data to quantify water quality parameters in the Wabash River and its tributary, Indiana. Tan, J., K.A. Cherkauer, and I. Chaubey (2015): International Journal of Remote Sensing 36 (21): 5466-5484
2014
Prediction of Saturated Hydraulic Conductivity Dynamics in an Iowan Agriculture Watershed. Elhakeem, M., Papanicolaou, A.N., Wilson, C., and Chang, Y. (2014): International Journal of Biological, Veterinary, Agricultural, and Food Engineering
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IML News - GIS / Remote Sensing
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