Cambia Lingua

RapidEye for Agriculture
Provides a huge amount of images that allow the extraction of accurate and timely information relevant harvest.
Very High Resolution Data
Using scenes acquired by satellites with very high spatial resolution has opened additional application scenarios in a very small scale, typical of administrations and local authorities
Geographic Information System
Organized set of hardware, software and people, aimed at the acquisition, management, analysis and visualization of alphanumerical and graphical information related to a given territory.
Land and Geology
Knowledge of spatial features and their evolution in time, is the starting point for an optimization of management. To do this, the process of study and planning, may be supported by GIS solutions (like geographic databases and geographic information systems)
UAV Cartography
Iptsat has completed the development of mapping with the "no fly zones" for Italy. It is a geographic database that has converted the technical requirements associated with the requirements of Regulation ENAC ENAV, in navigable maps online through webgis.
Smart Cities
Iptsat develops projects of infrastructure and harmonization of geographic data within the municipalities, making them accessible and usable by the greatest number of users possible through conversion to open data and publication in catalogs and webgis.

Value Added Services

The use of satellite data multispectral high-resolution RapidEye and/or images captured by other satellites (Geoeye, Ikonos, Worldview, Spot ...) and know-how on GIS and Remote Sensing, combined to support their scientific collaborators and (where necessary) the use of ground surveys and/or other data sources, allows Iptsat to propose solutions and services with high added value based on the needs of the customers.

Correctional services and preparation of satellite images

Iptsat is able to provide services of geometric correction and radiometric correction of any type of image acquired with optical sensors. You have the following processes:

Radiometric calibration TOA (Top of Atmosphere): Calculation of value of reflectance at the top of the atmosphere (We normalize the different solar illumination conditions at different times of acquisition).

Atmospheric correction to the ground: Calculation of reflectance value of the ground (removes the effects of the atmosphere on the image).

Orthorectification::The data can be orthorectified in different modes with or without GCP (Ground Control Point) depending on the accuracies required. The following possible methods of orthorectification:

  • Orbital model with the use of GCP
  • Rational functions with use of RPC (Rational Polinomial Coefficient) with or without GCP
  • Rational functions with the use of GCP

Orientation Stereoscopy: Orientation of two or more images acquired in stereoscopy for applications of information extraction in 3d (extraction dem, fotorestituzione in 3d).

Change Detection and historical analysis

The Change Detection is the technique of processing remote sensing images from high resolution satellite in different periods, for the detection and / or discrimination of urban and environmental changes over time.
Through the Change Detection a useful step is accomplished to keep track of otherwise undetectable changes on official documentation or through sample surveys.
The satellite images used provide real and updated information thanks to the high level of geometric detail. The use of these products allows you to monitor the territory, both urban and extra-urban, at regular intervals of time, allowing you to follow the development of the country over time.

Analysis of the Territory
Technical Analysis of the Territory which allows to survey the changes in a specified time frame through the comparison of multi-temporal data.

dem – stereoscopy

A digital elevation model (also known as DEM, English Digital Elevation Model) is the representation of the distribution of units of a country or of another surface in digital format.
The DEM can be produced with different techniques. The more refined models are typically made through remote sensing techniques that provide the establishment of satellite radar images or stereo pairs.
The use of digital elevation models (DEM) is needed in many types of applications such as map generation, environmental monitoring, geospatial analysis, telecommunications engineering, and more.
Iptsat is able to generate Dem from satellite images acquired in stereoscopy.
The methods used by Iptsat include: the use of an orbital model, the allocation of control points (GCP) and homologous points (TP), the subsequent orientation of the images, the image generation epipolar (optional), the extraction of Dem, the correction and validation.

Iptsat with NTT DATA and RESTEC distribute AW3DTM digital 3D topographic data covering the land of the entire world which shows undulations of terrain over the world with World top level resolution using PRISM data acquired by Advanced Land Observing Satellite "Daichi" (ALOS) of the Japan Aerospace Exploration Agency (JAXA) and high resolution satellite images.

Link for further information:: Asita 2014


Dem example extracted from satellite.
Dem example extracted from satellite.
Dem example extracted from satellite.

ctrn e dbt

The "Regional Technical Numerica" (CTRN) constitutes the basis for the drafting of municipal planning instruments, for Provincial Coordination Plans, Plans for the area and for the various sector plans of planning and regional planning.
The satellite images and their processing are of fundamental support for the construction or upgrading of CTRN.
Iptsat has developed a system to reprocess the information of the CTRN and redefine them as topographic geodatabase.
We already have the schema with the Domains and the Template of DBT (Topographic Database) of Lazio implemented on ESRI platform.

Example Geodatabase
Example Geodatabase " DBT Lazio Region " of Template ArcMa.

orthophotomaps

The ortho can be considered basic cartographic data supplement or substitute the classic maps in common use (ctr, IGM cartography, etc.). Their use is part of a context in which there is a lack of updated map data or the total absence thereof.
The first situation occurs when you want to get an updated cartographic product, quickly and at low cost, which has the same requirements of cartographic information and the same levels of positional accuracy of a traditional cartography.
The second situation occurs frequently in developing countries that lack a given cartographic reference, in fact in African countries, in Albania or in other contexts they are used in place of traditional maps.
The main advantages of using Orthophotomaps are: in the more content production costs compared to traditional cartography, in visual information that allows a direct perception of the area concerned, and a drastic reduction of the time of update of the cartography especially in cases of satellite data use.

A ortofotocarta essentially consists of a satellite orthoimage framed in a cartouche. For an easy use and to frame the orthoimage in the chosen reference system you can use: a grid mileage, a geographical grid and a scroll with a number of additional information.

Example Orthophotomaps (left) and Cartiglio (right).
Example Orthophotomaps (left) and Cartiglio (right).

maps of vegetation indices

Thanks to the development of multispectral and multitemporal remote sensing data, the Iptsat is able to make maps of vegetation indices which are essential to the classification and monitoring of the status and the change of agricultural resources, forest and vegetation:

  • Maps of NDVI and NDVI Red Edge: show the differences in the vigor of the plants
  • Maps of FPAR and LAI index: are used for the calculation of the surface of
  • Maps of index TCARI and MCARI (Maps of chlorophyll) show the nutritional status of the plants of nitrogen
  • Maps index OSAVI: with this index, thanks to the combination with the line of the soil, there is an improvement of the contributions of the reflectance of the surrounding environment and an improvement of the sensitivity to variations in leaf chlorophyll content
Example of map of NDVI multitemporal
Example of map of NDVI multitemporal ( Val d' Orcia ) developed by RapidEye satellite data


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© Copyright 2015 - iptsat s.r.l. - note legali | P. IVA 01882071002 | mailto:valerio.caroselli@pec.it