Define Remote Sensing | Give Applications of Remote Sensing

Define Remote Sensing such as the Definition of Remote Sensing, Applications of Remote Sensing, Application of Remote Sensing in Agriculture...

Define Remote Sensing | Give Applications of Remote Sensing

In this article, we discuss Define Remote Sensing such as the Definition of Remote Sensing, Applications of Remote Sensing, Application of Remote Sensing in Agriculture, etc

Definition of Remote Sensing

Remote sensing is the art and science of obtaining information about an object or phenomenon through an analysis of the data acquired by a device that is not in contact with the object, area or phenomenon under investigation.

"Remote" means far away and "Sensing" means believing or observing or acquiring some information. So, remote sensing means acquiring information about objects from a distance.

Applications of Remote Sensing

The use of remote sensing in civil engineering is discussed below

Remote sensing has application in a wide spectrum of areas. Remote sensing affords a practical means for accurate and continuous monitoring of the earth’s surface and activities.

Some of the application areas are given below:

  • Agriculture: Crop statics, management system analysis and horticulture.
  • Forestry: Forest area, types and density, biomass, and grassland.
  • Environment: Impact analysis, wetlands, pollution and abatement.
  • Coastal mapping: Coastal land use, landforms and habitat process.
  • Marine application: Potential fishing gene, forecast modelling, primary productivity.
  • Urban environment: Road development planning, route analysis.
  • Land & water resources: land and water conservation and development, groundwater targeting, snowmelt, runoff recharge.
  • Geology: mineral targeting, oil exploration, mapping, groundwater studies.
  • Land use/ land cover: mapping development and planning.
  • Information: integrated spatial and attribute data, query and modelling.
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What is the Application of Remote Sensing in Agriculture?

Identifying crop conditions

Satellite imagery and normalized difference vegetation index(NDVI) technologies are used in order to monitor global food supplies. Healthy crops area reflect green where other areas reflect red or blue.

Increasing precision in farming

The health of crops can be measured using remote sensing applications so that almost 10% of fertilizer, money and time can be saved.

Determining the soil moisture content

Active and passive sensors of a satellite in space are used in order to determine soil moisture content. Many earth sciences such as water cycle, flood, and drought are based on the content of soil moisture.

Crop production forecasting

Remote Sensing is used to predicting crop production and yield over a given field and determine how much of the crop will be harvested under specific conditions. The researcher can predict the crop quantity that will be produced in given farmland over a given period of time.

Determining crop damage and crop progress

In the event of crop damage or crop progress, remote sensing technology can be used to penetrate the farmland and determine exactly how much of a given crop has been damaged or under stress and the progress of the remaining crop in the farm.

Crop Identification

The crop can also be identified using remote sensing technology especially in cases where the crop under observation is mysterious or shows some mysterious characteristics. The data of the crop is collected and taken to the labs where various aspects of the crop including the crop culture are studied.

Crop condition analysis and stress detection

Remote sensing technology plays an important role in the assessment of the crop health condition and the extent to which the crop has withstood stress. This data can be then used to determine the quality of the crop.

Drought Monitoring

Remote sensing technology is used to monitor the weather patterns including the drought patterns over a given area. The information is used to forecast the rainfall patterns of an area and also tell the time difference between the current and the next rainfall which can be helpful to keep track of the drought.

Water content determination of the field crop

Apart from determining the soil moisture content, remote sensing also plays an important role in the estimation of the water content in the field crops.

Crop health analysis

Health analysis of a crop can be also determined which helps in determining the overall crop yield.

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