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Introduction to Chesapeake Bay Mapper and Landsat Data
ChesapeakeView is a collaborative project of the AmericaView program. AmericaView (AV) is a nationwide program that focuses on satellite remote sensing data and technologies in... -
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,... -
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. -
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... -
Cooling Effects of Increased Green Fodder Area on Native Grassland in the Nor...
With increasing livestock production due to high demand for consumption, the planted area of green fodder, an essential livestock supplement, has grown rapidly and will continue... -
Biophysical Effects of Paddy Rice Expansion on Land Surface Temperature in No...
The pending extensive rice expansion in northeastern Asia, especially in northeast China, affects regional climate by altering both biogeochemical and biophysical processes.... -
Indoor GIS Solution for Space Use Assessment
As GIS and computing technologies advanced rapidly, many indoor space studies began to adopt GIS technology, data models, and analysis methods. However, even with a considerable... -
Structural Diversity as a Reliable and Novel Predictor for Ecosystem Producti...
The physical structure of vegetation is thought to be closely related to ecosystem function, but little is known of its pertinence across geographic regions. Here, we used data... -
Estimating Urban Tree Metrics Using Terrestrial LiDAR Scanning
Trees grown in an urban environment are typically from a selected list of suitable species due to their appearance and other factors. A popular oak species in recent decades has... -
Assessing the Ability to Quantify Bathymetric Change over Time Using Solely S...
Coastal regions are undergoing rapid change, due to natural and anthropogenic forcings. A current constraint in understanding and modeling these changes is the lack of... -
Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Lea...
Human encroachment into wildlands has resulted in a rapid increase in wildland–urban interface (WUI) expansion, exposing more buildings and population to wildfire risks. More... -
Machine Learning for Modeling Wildfire Susceptibility at the State Level: An ...
Fire susceptibility modeling is crucial for sustaining and managing forests among many other valuable land resources. With 56% of its area covered by forests, Arkansas is known...