Today, studies can be collected and carried out quickly and with high accuracy with the data received from sensors, satellites and signals.
In today’s world, the concept of data has a very important place. Now almost everyone, everything can generate data, collect data. This has created the concept of Big Data, which is popular today. With the effective use and management of the produced data, large and important studies can be put forward.
In times when technology was not very advanced, data was collected slowly in the field. When people wanted to do a study, they would go to the workplace, make observations, collect data, and then start working. Today, studies to be carried out with the development of technology can be collected and carried out quickly and with high accuracy with the data received from sensors, satellites and signals.
There has been an undeniable progress in the field of Geographical Information Technologies. Many spatial analysis and location-based studies such as making spatial analysis with the help of satellite images without going to the field in difficult terrain conditions, creating fast, high-precision 3D city models with the help of drones, mobile mapping studies with developing Lidar technologies can now be done quickly and easily.
With the development of Fast Data Collection Technologies, the work carried out has accelerated and increased. This directly affects development and improvement.
They are technologies that collect data from sensors, satellites, drones, LiDAR and signal sources, enabling field studies to be carried out quickly and with high accuracy.
In traditional methods, data was collected slowly through on-site observation; with fast data collection technologies, spatial analysis can be done from satellite images without visiting the field and data is collected automatically.
Spatial analysis with satellite imagery, fast and high-precision 3D city model production with drones, and mobile mapping with LiDAR technologies are the main methods.
With effective use and management of big data, comprehensive studies can be produced in a short time, at low cost and with high accuracy.
