Radar Remote Sensing Data APPLICATIONS
Radar remote sensing creating high resolution images of the earth's surface. These images represent the backscattered microwave energy, the characteristics of which depend on the properties of the surface, such as its slope, roughness, humidity, textural inhomogeneities and dielectric constant. These dependencies allow radar imagery to be used in conjunction with models of the scattering mechanism to measure various characteristics of the earth's surface, such as topography. Radar has become a valuable remote sensing tool for both military and civilian users. Military radar applications include intelligence gathering, battlefield reconnaissance and weapons guidance. Civilian applications include topographic mapping, geology and mining, oil spill monitoring, sea ice monitoring, oceanography, agricultural classification and assessment, land use monitoring and planetary or celestial investigations.
Geoprecision tech provide the following services:
1- Value added Radarsat1 data and Radarsat 2 data. In addition, we also provide the radar data image processing and information extraction in agriculture, geology, hydrology, Marine, forestry,
2- Value added IFSAR data for DEM and DTM and Contour mapping.
3- We also provide mapping and monitoring services using Radarsat data in the applications:
a- agricultural services and geology
b- forestry,
c- geology,
d-hydrology,
e- Disaster management,
f- Marine surveillance
g- Contour mapping
GEOPRECISION TECH RADAR REMOTE SENSING
RADAR stands for "RAdio Detection And Ranging". Radar is active remote sensing, it sending out pulses of microwave electromagnetic radiation. It measures the time between pulses and their reflected components to determine distance. Different pulse intervals, different wavelengths, different geometry and polarizations can be combined to roughness characteristics of the earth surface.
In electromagnetic radiation, microwave portions of the spectrum are often referenced according to both wavelength and frequency. The microwave region of the spectrum is quite large, relative to the visible and infrared, and there are several wavelength ranges or bands commonly used today.
X-band: used extensively on airborne systems for military reconnaissance and terrain mapping.
C-band: ERS-1 & ERS-2, and RADARSAT1 AND RADARSAT 2.
S-band: used on board the Russian ALMAZ satellite.
L-band: used onboard American SEASAT and Japanese JERS-1 satellites and NASA airborne system.
P-band: longest radar wavelengths, used on NASA experimental airborne research system.
radar data applications
Agriculture
Radar satellite imagery is an efficient method for mapping crop characteristics over large spatial areas and tracking temporal changes crop conditions. It need more than one acquisition date to gather meaningful crop information.
Hydrology
Radar imagery is well suited for hydrological applications, in part because the radar is so sensitive to surface roughness and water and thus readily distinguish between water and land features.
Disaster management
Radar imagery has been used effectively in disaster responses such as earthquakes, tsunamis, flood, landslides forest fires, and other natural or technological disasters. The ability to capture the data in near-real time is essential for relief operations to map and monitor damage and for assessing the input on the future.
Marine surveillance
Radar imagery is very good for operational applications such as ship detection, oil spill monitoring, and wind and surface-wave field estimation.
Forestry
Radar imagery for forest application could help detecting structural differences in forest, and may improve forest-type mapping using textural analysis.
Contour Mapping
Mapping covers a broad range of activities, including the creation of Digital Elevation Models (DEM)s, and contour map.
Geology
In the geology sector, radar data can be used for both onshore and offshore exploration and mapping and to monitor and detect oil seeps which reduces the risk and cost of drilling. It is also used to derive geophysical terrain information such as surface roughness, which is useful for understanding processes such as bedrock weathering and the sorting of unconsolidated solid materials.