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Basic Imagery Products:

Panchromatic Imagery (Black and White)

Multi-spectral Imagery (Red, Green, Blue, Near Infra Red)

Bundle (Pan Plus all MS Bands)

Radar Data (Synthetic Aperture Radar)

Advanced Imagery Products

Geo-Corrected imagery

Ortho-Rectified Imagery

Precision Ortho-Rectified Imagery

Derived Imagery Products:

NDVI

Soil Moisture content

Digital Elevation Maps

Geographical Maps

Basic Satellite Imagery

Panchromatic imagery - Tunis - TripleSAT

TRIPLESAT_2_PAN_L1_20151030075952_0000F9VI_002_browser
Very High resolution imagery
75cm Pan 4m MS
Urthecast
Deimos2
1m Pan - 4m MS
21AT
Triplesat
KazEOSAT
KazEOSAT 1

Pansharpened imagery - KazEOSAT - Kazakhstan

KazEOSat1_Auto6-05

Pansharpened imagery - Muizenberg Cape Town - Deimos 2

deimos2 Muisenberg

Cairo Airport - KazeoSAT-2, Image Credit KGS,Ghalam

KazEOSat2_Auto7
High resolution range
KazEOSAT 2
2,4m
Theia
5,6m
Medium resolution

Urthecast
Deimos 1
22m

Deimos -1 River side circle Crops

Deimos1Columbia
radarsatpic
RadarSAT

Synthetic Aperture Radar Data

Advanced Imagery Data

Derived Imagery Products

Normalised Difference Vegetation Index (NDVI)

The Normalised Difference Vegetation Index (NDVI) grids and maps are derived from satellite data. The data provides an overview of the status and dynamics of vegetation , that measure the amount of live green vegetation. The satellite data is processed through algorithms to show different stages in plant growth…

Live green vegetation absorbs visible light (solar radiation) as part of photosynthesis. At the same time plants scatter (reflect) solar energy in the near infrared. This difference in absorption is quite unique to live vegetation and provides a measure of the greenness of the vegetation.

NDVI is an index which measures this difference, providing a measure of vegetation density and condition. It is influenced by the fractional cover of the ground by vegetation, the vegetation density and the vegetation greenness. It indicates the photosynthetic capacity of the land surface cover.

NDVI is calculated from the red and near-infrared reflectances

NDVI decreases as leaves come under water stress, become diseased or die. Bare soil and snow values are close to zero, while water bodies have negative values.

 Soil Moisture Maps

Will typically display areas with high water content as darker in colour opposed to dry areas that would display lighter in colour.

For example:

In irrigation fields these data sets would indicate quite a few different potential water issues – from irrigation pipe leakage to over irrigation. Drainage and even irrigation patterns can be monitored and evaluated. Identifying new field for agricultural purposes with soil moisture maps  assures uniform soil conditions prior to applying irrigation systems, which results in better management and cost effective irrigation systems.

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