Essential questions

Satellite data come in diverse types. It can be a GNSS positioning signal gathered directly by your mobile phone, or a TV or radio signal converted into video or voice.

But if we are talking about Earth Observation Data Images, you cannot get them directly from space to your device as is. You have to order them and process them into a usable format.

OnGeo™ Intelligence provides you with instant access to multisensor and multiresolution satellite data. You can access a time series of images within an average of 5 minutes. You need to set up a time period, draw an Area Of Interest (AOI), select the type of satellite images, provide your electronic delivery address, confirm the micropayment, and wait for the Data Package and Satellite Imagery Report OnGeo™ Intelligence.

Obtaining satellite data for a specified area (earth images) involves 5 steps using OnGeo™ Intelligence tools.

It takes up to 5 minutes to define, order, and obtain both the OnGeo™ Intelligence Satellite Data Package and the illustration of the data in the Satellite Imagery Report OnGeo™ Intelligence document. You can gain instant access to multitemporal, very high-resolution data covering the entire world, gathered by constellations such as Sentinel-2 (Copernicus), SPOT, Pléiades, Pléiades Neo (Airbus), or WorldView-1, WorldView-2, WorldView-3, WorldView-4, GeoEye-1 (Maxar Technologies).

A satellite imagery report is a collection of satellite images presenting changes that have occurred in a given area at a specific time.

Real-time satellite views may not be publicly available due to technical limitations, processing time, and data distribution constraints. Platforms may require a subscription or payment to access features or higher-resolution imagery.

There are several satellite imagery platforms that provide views of Earth close to real-time. OnGeo™ Intelligence's engine searches satellite data archives across multiple platforms to provide you with a curated list of available satellite images tailored to specific time and location parameters.

It is unlikely that you will be able to see your house from a satellite in real time. Most satellite imagery is not provided live due to technical constraints and privacy concerns. However, you can access recent satellite imagery of your location through the Satellite Imagery Report OnGeo™ Intelligence.

The OnGeo™ Intelligence platform offers high-resolution satellite images that are frequently updated, but the imagery may have a delay of up to several days, depending on the platform from which it is sourced. Additionally, some platforms may have restrictions on the level of detail available for certain areas due to privacy concerns or government regulations.

If you are interested in viewing your house or specific locations, you can use these platforms to browse recent satellite images and see your surroundings from an aerial perspective, although not in real time.

NDVI stands for Normalized Difference Vegetation Index. It is a numerical indicator used in remote sensing and satellite imagery analysis to assess vegetation health and density. NDVI is calculated using the following formula:

NDVI=(NIR−RED)/(NIR+RED)

gdzie:

• NIR is the spectral reflectance of vegetation in the near-infrared range (typically around 700-900 nanometers);
• RED is the spectral reflectance of vegetation in the red range (typically around 600-700 nanometers).

NDVI values range from -1 to 1, with higher values indicating denser and healthier vegetation. A value close to 1 signifies dense, healthy vegetation, while values closer to 0 or negative values typically indicate non-vegetated surfaces such as water, bare soil, or built-up areas.

NDMI stands for Normalized Difference Moisture Index. It is an index used for quantitative assessment of vegetation or soil moisture. NDMI is commonly used in environmental monitoring, agriculture, and forestry to evaluate vegetation health, drought conditions, and soil moisture levels. It is calculated using remote sensing data from the near-infrared (NIR) and shortwave infrared (SWIR) spectra. The formula for calculating NDMI is as follows:

NDMI=(NIR−SWIR)/(NIR+SWIR)

where:

• NIR is the reflectance in the near-infrared spectrum;
• SWIR is the reflectance in the shortwave infrared spectrum.

NDMI values range from -1 to 1. Higher positive values indicate higher moisture content, while lower or negative values indicate lower moisture content.

NDWI stands for Normalized Difference Water Index. It is a spectral index used to highlight the presence of water bodies in remote sensing imagery. NDWI is particularly effective at distinguishing water bodies from other types of land cover. NDWI is widely used in various applications, including hydrology, environmental monitoring, land cover classification, and wetland mapping. It is particularly useful for identifying water bodies such as lakes, rivers, reservoirs, and ponds in satellite or aerial imagery.

The formula for calculating NDWI varies depending on the specific bands available in the remote sensing data, but a common formula is:

NDWI=(GREEN−NIR)/(GREEN+NIR)

where:

• GREEN is the reflectance in the green spectral band;
• NIR is the reflectance in the near-infrared spectral band.

NDWI values typically range from -1 to 1. Higher positive values indicate the presence of water, while lower or negative values indicate non-water features.