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The Pioneers of the Landsat Program Poster
Learn about 12 individuals that contributed to the development of the Landsat Program. -
Big 10 Academic Alliance Geoportal
The Big Ten Academic Alliance Geoportal provides discoverability and facilitates access to geospatial resources. The resources in the portal are selected and curated by... -
ArcGIS Pro Python Programming Online Tutorial
Online tutorial of Python Programming with ArcGIS Pro using Indiana remote sensing dataset. -
Indiana Statewide LiDAR Data Portal
Funded by IndianaView mini-grant program, the Indiana Statewide LiDAR data portal hosts various layers of LiDAR image and products for Indiana. -
Alaska As Art
In this StoryMap, we have identified geologic features from Alaska and used satellite images to turn them into art. The goal is to raise awareness of Alaska’s dynamic landforms,... -
Kansas Potential Wetland Area Database
The dashboard contains the statewide wetland database, a collaborative mapping effort with multiple state and federal agencies (AmericaView, Kansas GIS Policy Board, Kansas... -
3D GIS course on edx.org
Take your maps into the third dimension: Learn GIS concepts and tools to visualize, analyze, and interpret spatial data in 3D. Reveal patterns that can lead to better decision... -
GIS Foundation course on edX.org
Learn foundations of GIS concepts and geospatial technology to view, understand, query, visualize, and interpret geospatial data to reveal patterns and relationships for... -
Statewide Map of Uluhe with Landsat-8
A statewide Landsat-8-based map of Uluhe (false staghorn, scientific name: Dicranopteris linearis), an indigenous fern that plays a key role in Hawaii ecosystems. -
Remote Sensing with Landsat in Rhode Island
This story map describes the history of Landsat, reviews some basic remote sensing principles, and presents some example applications for Landsat data in Rhode Island. -
Student Scholarship Fact Sheets
Fact sheets detailing student research that was conducted through the IndianaView scholarship program. -
Climate and Management Practices Jointly Control Vegetation Phenology in Nati...
Climate, human disturbances, and management practices jointly control the spatial and temporal patterns of land surface phenology. However, most studies solely focus on... -
Antecedent climatic conditions spanning several years influence multiple land...
Ecological processes are complex, often exhibiting non-linear, interactive, or hierarchical relationships. Furthermore, models identifying drivers of phenology are constrained... -
Multiple UAV Flights across the Growing Season Can Characterize Fine Scale Ph...
Grasslands and shrublands exhibit pronounced spatial and temporal variability in structure and function with differences in phenology that can be difficult to observe. Unpiloted... -
Change in Doctoral Dissertation Topics in Forest Resources from U.S. Universi...
Changes in forest resources expertise from 1978 to 2017, as measured by annual number of doctoral dissertations published on twenty topics, were examined. Using the ProQuest... -
Vine Water Status Mapping with Multispectral UAV imagery and Machine Learning
Optimizing water management has become one of the biggest challenges for grapevine growers in California, especially during drought conditions. Monitoring grapevine water status... -
The Spatial Variability of NDVI Within a Wheat Field: Information Content and...
Wheat is a staple crop that is critical for feeding a hungry and growing planet, but its nutritive value has declined as global temperatures have warmed. The price offered to... -
Effects of Increasing C4-Crop Cover and Stomatal Conductance on Evapotranspir...
Accurate quantification of evapotranspiration (ET) is crucial for surface water resources and best agricultural management practices in watersheds. The aim of this study was to... -
Virtualizing Soil Science Field Trips
In response to the coronavirus pandemic in the fall of 2020, we created hybrid–virtual or fully virtual field trips to replace in-person field trips in two courses. For an... -
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning R...
Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the complexity and customizability of...