Thanks to XYZ Tiles, it’s possible to download high-resolution satellite images. Here’s a step-by-step guide on how to do it: By following these steps, you’ll secure a high-resolution satellite image … Read more
Combining multiple bands into a single composite image is a common task in remote sensing and image processing. In R, this can be easily accomplished using the raster package, which … Read more
Wildlife Monitoring is a technique used to study and collect data on the population, distribution, behavior, and habitat of animal species that live in natural and wild environments. There are … Read more
Geographic data science with R is the application of the R programming language and its associated libraries for the analysis and visualization of geographic data. R is a powerful tool … Read more
Geography is the study of the earth’s surface, its features, and the relationships between human beings and their natural and social environments. It is a vast and interdisciplinary field that … Read more
Precision agriculture is an agricultural technique that utilizes advanced technologies such as global positioning systems (GPS), remote sensing, teledetection, drones, and artificial intelligence to collect and analyze data on soil, … Read more
Aquatic vegetation monitoring with remote sensing is a useful tool in natural resource management and conservation of aquatic ecosystems. Remote sensing refers to the use of satellite imagery, drones, and … Read more
Space debris, also known as space junk or orbital debris, refers to any artificial object in Earth’s orbit that no longer serves a useful purpose. These objects can be remnants … Read more
Real-time maps are a visual representation of geospatial and location data that is continuously updated in real-time. These maps use technologies such as GPS, telematics, and geographic information systems (GIS) … Read more
Spatial variability refers to the variation of a characteristic or phenomenon in different locations within a given geographic area. It describes the differences in the distribution of a property or … Read more
Multispectral images are composed of multiple spectral bands that capture information in different wavelengths of the electromagnetic spectrum. These images are commonly used in remote sensing applications and in observing … Read more