Remote Sensing Research Proposal

The term remote sensing itself states that it is the technology that senses remotely. For instance, the geographical area, earth surface, and the environment are being examined by remote sensing technology with the help of air crafts, satellites, and drones. The energy radiated by the earth’s surface is collected and stored by remote sensing technology. They make use of the electromagnetic ranges. The energy emitted is known as radiance and the energy target to the object is known as the irradiance. This article enumerates the remote sensing research proposal in brief and lets you know the entire aspects involved in remote sensing in general.

Doing research in remote sensing technology will lead you to understand the importance of remote sensing in reality. This is popular and eminent research to be sure. In the subsequent passage, we will discuss the collection of remote sensing data in general.

How Does Remote Sensing Collect Data?

• The technology gathers the data with the help of sensors deployed on the aircraft and the satellites
• Sensors will capture the emitted energy from the earth surface
• Sensors may be in the form of active or passive
• Passive sensors retort to the inducements of the exterior
• The sensors will coverts the captured energy in the forms of images for the incorporation, representation of the images ( Spatial & Temporal) for the effective decision making
• Distributions of the Acoustic Wave with divergences (for instance Sonar)
• Distributions of the Force differences (for instance Gravity Meter)
• Distributions of the Electromagnetic Energy with dissimilarities (for instance Human Eye)
• The gathered datasets are observed and investigated by the several sensors

In the forthcoming passage, our researchers have revealed to you the important principles in remote sensing. As this is a growing technology it has consisted of the best principles for effective outcomes. In a matter of fact, we are a company with experts in every field so we are offering the best research and project guidance with our techniques and phd implementation tools. Let’s get to the point.

What are the Important Principles of Remote Sensing?

• Remote sensing technology offers both temporal and spatial data to plot the issues in the geographical, environments, biological factors
• This is executed to acquire the earth surface spatial data
• This offers a wide range of data like global, local and regional for the effective policymaking
• This offers real-time and hidden factors of the earth surface/systems

These are the principles involved in remote sensing in general. In the forthcoming passage, we deliberated with you about the uses of remote sensing with short and sweet notes. 

What are the uses of Remote Sensing?

• No devastations of the Image
• Cost-effective Tool
• Huge geographical area surveillance
• Speedy data collection with futuristic
• Making the accessibility of the no used areas

Remote sensing technology is used in various fields like farmlands, urbanization, land covers, examinations in the archaeological, surveillance in the army forces, forest, growth of the cities, land usage changes, and so on. They are countless. Now we will see about the classifications of remote sensing in an easy way. They can be classified on the basis of emitted radiance from the earth surface

What are the Classifications of Remote Sensing?

• Aerial Remote Sensing
  • High Altitude Remote Sensing
  • Low Altitude Remote Sensing
• Space Borne Remote Sensing
  • Polar Orbiting Satellites
  • Geo- stationery Satellites
  • Space Shuttles
• Ground Level Remote Sensing
  • This is used to regulate the sensors with the earth’s various features
  • The name itself indicates that this is very near the ground

These are the classifications of remote sensing in general. The classifications are 3 in number. We hope you will understand. In the subsequent passages, we will discuss the spectral band’s usage in remote sensing in general.

As our experts are well versed in each and every aspect of the technology they do know about the upcoming requirements in the technology. Our experts are habitually updating their skill sets in all the fields for guiding the students and scholars. We are successfully rendering the assistance and tutorials in the remote sensing research proposals. Let us discuss the spectral bands.

Spectral Bands in Remote Sensing

• The spectral band is the collection of wavelengths
• The wavelengths are microwave, ultraviolet, thermal infrared, visible, near-infrared
• The regions of the spectral band can be classified according to the wavelengths/frequency
• The images can be classified under 2 passive sensors
  • Hyperspectral images
  • Multispectral images

The metamorphosis between the hyperspectral and the multispectral is based on the spectral bands. The number of bands and the features of the bands are the baselines for the differences. The number of bands in the multispectral is 3 to 10 and the number of bands in the hyperspectral is approximately 100. We are here to help in implementation support on matlab code for satellite communication.  In the following passage, we have a deep insight into the multispectral and hyperspectral images in detail.

Multispectral image features 

• As already stated this has consisted of 3-10 bands in nature
• For instance, satellite7 offers 10 pictures on each and every scene
• Thermal infrared TIRS 2 (11.501-12.511 um)
• Cirrus (1.367-1.388 um)
• Short-wave infrared SWIR 2 (2.112-2.298 um)
• Near-infrared NIR (0.856-0.887 um)
• Green (0.532-0.598 um)
• Coastal aerosol (0.435-0.454 um)
• Thermal infrared TIRS 1 (10.608-11.195 um)
• Panchromatic (0.503-0.681 um)
• Short-wave infrared SWIR 1 (1.578-1.655 um)
• Red (0.646-0.677 um)
• Blue (0.454-0.512 um) 

Hyperspectral images 

• This is consisted of 10 to 20 narrow bands, as already stated this is consisted of more than 100 bands
• For instance, a Hyperion imaging spectrometer generates 225 bands(0.44-2.554 um)

These are the important features involved in hyperspectral and multispectral images in general. In the following passages, we have deliberately stated to you the research challenges involved in remote sensing in general. Our researchers are conducting plenty of research in remote sensing for the best results. Hence, they accurately know the challenges involved in remote sensing and the corresponding solutions to the challenges. We will see them in brief. 

Open Research Challenges in Remote Sensing

• Irrelevant source’s noise reflection
• Standardization of the gathered data
• Configuration of the diplomatic devices
• Lower spatial resolution
• Non-conventional data investigation
• Requirement of exactness in pixels
• Ecological change caused in the quality of the pixels
• Picture objects misclassification
• Messy data from various sources
• Requires additional authentication
• Misrepresentation of the images

These are critical challenges involved in remote sensing in a wide range. That’s why it needs expert guidance in the remote sensing research proposal aspects. As our experts are very familiar with this issue they know the appropriate solutions to the relevant fields. If you want to do projects or research in remote sensing, then feel free to approach us. In the subsequent passages, we will let you know about the proposal of the remote sensing project. 

How to start writing a research proposal? 

• Find the apt questions and answers in the field of remote sensing research
• Make a spot on the importance of remote sensing, novel ideas, and the instigation
• Demonstrate the literature supports/pillars and structure

Proposals are very important to build the research furthermore in the specific components in the remote sensing technology. In the following ensuing passage, our experts have mentioned to you the steps involved in the remote sensing proposal. Let’s try to understand them in brief. 

What are the Steps in Remote Sensing Research Proposal?

• Step 1 & 2 
  • Initiate with the broad idea in which you are interested and choose the area of exploration
    • Search and analysis of research field
    • Filter the ideas and find the topic
• Step 3
  • Discover the approach
    • Case study
    • Field study
    • Historical / Descriptive
    • Correlational
    • Experimental
• Step 4
  • Review of the literature
    • Issues of the research
    • The solution to the research issues
• Step 5 
  • Signify the types of data
    • Qualitative
    • Quantitative
    • Combination of qualitative & quantitative
• Step 6
  • Information collecting methods
    • Observations
    • Experiments
• Step 7
  • Discover the data sources
    • Data collection
    • Refining the data
• Step 8
  • Write up the conclusions

These are the 8 steps involved in the remote sensing proposal. This is the major thing that is worthy to make note of it, as this is fully focused on the remote sensing research proposal. It is time to know about the topics for the best remote sensing proposals. Are you interested? Here we go!

Remote sensing Research Topics 

• Land cover observation
• Observation of the water scarcity
• Attrition of the soil residues
• Huge scale multi-temporal analytics by Google earth engine
• Forecasting the Seawater level intensification
• Evaluation of the Hyperspectral information handling
• Cellular automation in the designing of the urban city extensions
• Air pollution impression on Eco reversals

So far, we have discussed remote sensing and the proposal ideas in a wide range. This will act as a handy note to the surfers who are looking for a remote sensing research proposal. We think that this would be the right time to introduce the datasets for remote sensing. Datasets play a vital role in remote sensing projects modeling. We have mentioned to you the 3 new datasets in trend.

Important Datasets for Remote Sensing

• AID Dataset
  • This is retrieved from Google Inc…
  • Gathered remotely sensed images had been labeled
  • Testing images vary from 220 to 420
  • The classification of the images lies under 10,000 pictures and 30 subdivisions
  • AID data sets have consisted of 30 aerial scene classifications (Forest, Ports, Deserts…)
  • Resolution of the AID data sets are about 8 to 8.5 with the pixel of 600*600
• UCM Dataset
  • Consists of 21 cropland classes and 2100 pictures
  • 100 aerial images are stored pixel of 256*256
  • This makes use of the color codes (RGB)
  • The data acquired from the 20 U.S regions with classes of the river, forest, beach, airplane, buildings, freeway, etc.,
• WHU-RS19 Dataset
  • This is originated from 82 and enhanced as an 83 (version)
  • This is also made use of the color codes (RGB)
  • The data are retrieved from Google Inc…
  • It consists of 19 land use classes like meadow, farmland, park, residential area, etc.,
  • This also has the resolution in pixels of 600*600  

Till now, we have discussed remote sensing in a wide range. Here, we will discuss the performance evaluation involved in remote sensing in detail. This will be a worthy note, make use of it.

Performance Evaluation Metrics for Remote Sensing

• Mean Squared Error (MSE) 
  • This will come into existence when the least values hunted as a signal quality matrix
• Signal-to-Reconstruction Error (SRE)
  • The higher values in the performance will be shown in an eminence manner & units of decibels
• Peak Signal-to-Noise Ratio (PSNR)
  • This is also an image quality matrix which is meant to 8-bit images in decibels
• Spectral Angle Mapper (SAM)
  • This is meant for the hyperspectral and multispectral images here the quality of the restoration is specified as 0
• Structural Similarity Index (SSIM)
  • This is all about the visual signal of the humans which signpost if it is 1 then it is the effective recital

So far, we have discussed the entire aspects involved in the remote sensing research proposal in a wide range. As the matter of fact, in our concern, we are predominantly working on the new generation technology to offer guidance in research and projects of the college students and the scholars.

If you want effective guidance in the research, then this is the right place to explore further. Feel free to approach us.