Satellite imagery and aerial photography have proven to be important tools in support of mineral exploration projects. They can be used in a variety of ways. Firstly they provide geologists and field crews the location of tracks, roads, fences and inhabited areas. This is important for mapping out potential access corridors for exploration areas and considering the environmental impact of the large project. The satellite map data is also useful for mapping outcrops and regolith systematics and vegetation cover across exploration blocks and over regional areas. Satellite images can also benefit geologists, scientists, and exploration managers due to the multiple bands that the satellites carry which allow them to interpret wavelengths that cannot be seen by the human eye. Near-infrared, shortwave infrared and thermal infrared can be used to identify the difference in structural features of the earth's surface. Multispectral imaging and thematic mapping allow researchers to collect reflection data and absorption properties of soils, rock and vegetation. This data could be utilized by trained photogeologists to interpret surface lithologies, identify clays, oxides and soil types from satellite imagery.

Geo AdithyA can receive the inputs of various domains such as Cadastral maps, Utility Maps, Geology maps and engineering or architectural drawing in paper or a scanned image format. Geo AdithyA will digitize/convert these maps to digital format according to the technical specification provided by the client. Geo AdithyA offers and delivers the quality output in various formats such as DWG, DGN, SHP and MDB etc., as per the client requirements.

Unsupervised classification is where the outcomes (groupings of pixels with common characteristics) are based on the software analysis of an image without the user providing sample classes. The computer uses techniques to determine which pixels are related and groups them into classes. The user can specify which algorithm the software will use and the desired number of output classes but otherwise does not aid in the classification process. However, the user must have knowledge of the area being classified when the groupings of pixels with common characteristics produced by the computer have to be related to actual features on the ground (such as wetlands, developed areas, coniferous forests, etc.).

Supervised classification is based on the idea that a user can select sample pixels in an image that are representative of specific classes and then direct the image processing software to use these training sites as references for the classification of all other pixels in the image. Training sites (also known as testing sets or input classes) are selected based on the knowledge of the user. The user also sets the bounds for how similar other pixels must be to group them together. These bounds are often set based on the spectral characteristics of the training area, plus or minus a certain increment (often based on "brightness" or strength of reflection in specific spectral bands). The user also designates the number of classes that the image is classified into. Many analysts use a combination of supervised and unsupervised classification processes to develop final output analysis and classified maps.

Change detection for GIS is a process that measures how the attributes of a particular area have changed between two or more time periods. Change detection often involves comparing aerial photographs or satellite imageries of the area taken at different times. Change detection has been widely used to assess shifting cultivation, deforestation, urban growth, the impact of natural disasters like tsunamis, earthquakes, land use/land cover changes etc.

An aspect-slope map simultaneously shows the aspect (direction) and degree (steepness) of slope for a terrain (or other continuous surfaces). Aspect categories are symbolized using hues (E.X., red, orange, yellow, etc.) and degree of slope classes are mapped with saturation (or brilliance of color) so that the steeper slopes are brighter.

Land management and land planning require a knowledge of the current state of the landscape. Understanding current land cover and how it is being used, along with an accurate means of monitoring change over time, is vital to any person responsible for land management. Measuring current conditions and how they are changing can be easily achieved through land cover mapping, a process that quantifies current land resources into a series of thematic categories, such as forest, water, and paved surfaces. By using remotely sensed imagery and semi-automated classification methods, Geo AdithyA provides cost-effective and accurate means to derive land resource information and maintain its currency into the future.

LAND COVER MAPPING APPLICATIONS

Geo AdithyA land cover solutions are used for planning land use and deriving additional thematic layers to support land management applications such as:

Impervious quantifications for storm water runoff prediction and drainage requirements
Tree canopy calculations for storm water runoff and pollution impact studies
Irrigated and non-irrigated water use calculations for arid areas
Environmental assessment of undeveloped and vacant land identification
Planning green space and trails for recreational purposes and other urban planning applications
Ecosystem or forest species / community maps
Fire hazard maps that relate to fuel availability for wildland fires
Urban planning assessment

Marine spatial planning (MSP) is a public process of analyzing and allocating the spatial and temporal distribution of human activities in marine areas to achieve ecological, economic, and social objectives that are usually specified through a political process. Integrated marine and coastal area management (IMCAM) is a participatory process for decision making to prevent, control, or mitigate adverse impacts from human activities in the marine and coastal environment and to contribute to the restoration of degraded coastal areas.

Many governments, state, and private forestry organizations and agencies today utilize geospatial technology such as GIS and satellite imagery for various applications supporting analysis, assessment and management of our forests. Many applications of forestry and natural resources require accurate land cover and change analysis. Changing conditions due to urban sprawl, as well as increasing forest fragmentation, make the land cover and change detection analysis an extremely important consideration for management, planning and inventory mapping. This includes ecosystem and species diversity, forest productivity, reforestation, forest health, conservation of soil, water resources and nutrient cycling.

Fire And Emergency Mapping

Satellite images and GIS maps support fire and emergency personnel for responding to emergency situations, hazardous fuels reduction, community assistance, firefighting, rehabilitation and restoration. In order to model a forest fire, the techniques for obtaining, analyzing and displaying spatial information in a timely and cost-effective manner are needed which has proven not only to be possible, but incredibly efficient and effective.

Deforestation

Deforestation has been attributed to socio-demographic factors, such as population growth and the political economy of class structure, and specific exploitation activities like commercial logging, forest farming, fuelwood gathering, agriculture and pasture clearance for cattle production.

GIS application in agriculture has been playing an increasingly important role in crop production throughout the world by helping farmers in increasing production, reducing costs and managing their land resources more efficiently. GIS application in agriculture such as agricultural mapping plays a vital role in monitoring and management of soil and irrigation of any given farmland. GIS agriculture act as an essential tool for management of agricultural sector by acquiring and implementing the accurate information into a mapping environment. GIS application in agriculture also helps in management and control of agricultural resources.

Geo AdithyA uses GIS application in agriculture sector such for improving present method of acquiring and generating agricultural and resources data.
The company uses different spatial, spectral and temporal resolutions for:

Crop mapping yield estimation.
Crop assessment and Crop health.
Irrigated landscape mapping.
Application development for GIS agriculture.
Soil and irrigation amendment analysis.
Suitability assessment studies.
Erosion identification and remediation.
Agricultural mapping for detailed vegetation cover and monitoring.
Change detection studies and developing crop models.
Damage and land degradation assessment studies.
Elevation models for efficient drainage.