HelioWebCentral State University, Ohio
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I[Central State University, Ohio]
PI["Parent Institutions (0)"]
CI["Child Institutions (0)"]
AW["Affiliated Works (16)"]
CA["Linked Collaborating Authors (0)"]
I== skos:broader ==>PI
CI== skos:broader ==>I
AW== affil ==>I
AW== author ==>CA
click PI "#parent-institutions"
click CI "#child-institutions"
click AW "#affiliated-works"
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Parent Institutions [?]
Child Institutions [?]
Affiliated Works
sorted by decreasing year, and then by display-name
- Preliminary Hyperspectral Land Cover Classification of the Alaskan Arctic Coastal Plain- Application to Landscape Chronologies and the Thaw-Lake Geomorphic Cycle
- Assisting the US Bureau of Reclamation with Evapotranspiration Estimation from Remote Sensing; Field Work Planning to Implementation
- Changes in Thaw Lake Morphometry on the Barrow Peninsula, Alaskan Arctic Coastal Plain, 1955-2002
- Intergration of Hyperspectral data with Airborne and Ground-based Lidar for Paleocave Mapping in the Franklin Mountains of El Paso, Texas
- Thaw Lakes in Continuous Permafrost: Recent Research and Controversies
- ESSEA Distance Learning Course; Implementation to Diverse Audiences
- Multi-scale Modeling of Energy Balance Fluxes in a Dense Tamarisk Riparian Forest
- The Effect of Groundwater Availability and Quality on Water Consumption of Tamarisk
- Implications of Chloride, Boron, and Lithium in Hydrothermal Systems of Jamaica, WI
- Influence of atmospheric correction on image classification for irrigated agriculture in the Lower Colorado River Basin
- Crop Water Stress Reduction Due to The Effects of Native Woody Shrubs in the Peanut Basin, Senegal
- Characterizing the Gradient of the Spectral Curve for Object-Based Random Forest Image Classification Using Airborne Hyperspectral Datasets
- Electrokinetic Response of Drainage Tile Functionality on Agricultural Farmlands
- Mapping Agricultural Subsurface Drainage by Proximal and Remote Sensing Technologies Integrated with a Satellite Navigation System - Invited Paper 351735
- Using AVIRIS-NG Imagery to Map Agricultural Systems with Binary Classifiers and Limited Field Data
- Spectral and Quantitative Monitoring of Tile-Drainage on Agricultural Watersheds