ABSTRACT
The use of geospatial technologies has allowed more complex and larger projects to be conceived and executed. With the addition of geospatial technologies, researchers can take traditional water flow and quality measurements, and add data from remote sensors. A great advantage of remotely sensed data is the collection of uniform samples over large areas. Tools like Google Maps can help, and Google Earth Engine and other software can ingest the likes of Landsat 8, the Indian IRS, and European Sentinel satellite sensors, as well as other systems processing small satellites as well as aircraft and drone-borne sensor data. Spatial computing power is used fully by models, and hence more detailed and spatially pertinent results are produced. Verifications or accuracy assessments are part of a good modeling strategy because it is important to demonstrate precision and accuracy independent of the data sets used to “train” the model.
