Remote Sensing & GIS
Geomount Inc. using remote sensing as a study in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, oceanography, glaciology, geology)
We can discover, access and download satellite imagery from the many Earth Observation Data Management Systems, including Long-Term Satellite Data Records.
Geographic Information System
We use GIS analysis include inventory and management of resources, establishing and monitoring routes, managing networks, locating and targeting many field for our customers.
“Geomount uses new technologies of UAV to be the eyes in the sky, on the ground, and below the water’s surface to analyze and visualize precise data to our clients.”
Satellite or UAV Imagery & Remote Sensing
Using ArcGIS Software to give our clients everything they need to manage and extract answers from imagery, GIS and remotely sensed data. It includes imagery tools and workflows for visualization and analysis, and access to the world’s largest imagery collection.
Spatial Analysis & Data Science
Geomount Inc. connects the seemingly disconnected with the most comprehensive set of analytical methods and spatial algorithms available. Using location as the connective thread to uncover hidden patterns, improve predictive modelling, and create a competitive edge.
We use 3D GIS brings real-world context to our client’s maps and data. Instantly transform client data into smart 3D models and visualizations that help our clients. We analyze and solve their problems by sharing our ideas and concepts.
Data Collection & Management
With ArcGIS, we can easily collect, crowdsource, store, access, and share our client data efficiently and securely. we can integrate data stored in our business systems and geo-enable any data from any source.
Research On Remote Sensing
Geomount gives to research on Water quality. It is impractical to monitor water quality more than a small fraction of lakes by conventional field methods because of expense and time requirements. A high-resolution satellite image is more convenient to be applied to collect the required data for monitoring and assessing water quality in the lakes. Therefore, this study aims to estimate the water quality indices and concentration of some parameters (Temperature, DO, BOD, pH, Turbidity, TSS, TDS, EC, NO3, PO4and E. coli) through applying developed water quality estimation models based on the remote sensing and GIS techniques on the Landsat 8 OLI satellite image using twenty points in the Lake at two different seasons. Four standard mathematical methods (NSFWQI, CCMEWQI, OWQI and AWWQI) are used to find the water quality indices at the twenty stations in the Lake.