Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …

Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

This paper presents a new view of federated databases to address the growing need for
managing information that spans multiple data models. This trend is fueled by the …

This paper investigates the web-based remote sensing platform, Google Earth Engine (GEE)
and evaluates the platform's utility for performing raster and vector manipulations on …

The physical phenomena derived from an analysis of remotely sensed imagery provide a
clearer understanding of the spectral variations of a large number of land use and cover …

The collection of time series data increases as more monitoring and automation are being
deployed. These deployments range in scale from an Internet of things (IoT) device located …

While “big data” has become a highlighted buzzword since last year,“big data mining”, ie,
mining from big data, has almost immediately followed up as an emerging, interrelated …

We present a novel, purely affinity-based natural image matting algorithm. Our method relies
on carefully defined pixel-to-pixel connections that enable effective use of information …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …