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| Photo Courtesy: ESA |
This article can help you to think about your remote sensing and spatial analytics career
If you want to build your career in Remote Sensing, Spatial Data Analytics and if you are anything like me who first attempt to process satellite data about 11-12 years ago then you have come to the right place to learn some key tips that can improve your thinking in remote sensing career.
Generally, remote sensing refers to a science and engineering of acquiring/observing/perceiving (sensing) objects or event without any physical contact.
Remote Sensing Applications
The opportunities for developing practical applications of remote sensing data are increasing day by day. It is the results of recent advances of spatial, spectral and temporal resolution of available data. Some key factors were found that has made diverse application of remote sensing in a broad variety of new sectors. The Steering Committee on Space Applications and Commercialization, National Research Council of USA stated these key factors as below-
1. The
combination of technological advances in remote sensing
2. Widely
available, compatible geographic information technologies
3. Increased
availability of data at usable scales and
4. Greater diversity in data sources and infrastructure support
The advancement
of the integration of remote sensing data with other types of digital data is
being developed day by day with the rapid development of Geographic Information
Systems (GIS). The applications of
remote sensing can be divided into two sectors in a broad category-
(a) Military and (b) Civil
There is
several applications area of remote sensing in civil work. Here you can follow-
1)
Agriculture
2)
Disaster Forecasting and Management
3)
Forestry
4)
Environment Monitoring and Management
5)
Civil Aviation
6)
Crime Investigation
7)
Urban and Regional Planning
8)
Transportation
9)
Archeology
10)
Risk Reduction and Emergency Management
11)
Marine Science
12)
Natural Resources Management
13)
Arctic Research
14)
Planetary Observation
15) And so on.
Remote Sensing Data
Gathering
information about physical, chemical, biological and geometrical properties of the
planets is the central activity of Earth and planetary observation. Here you
can find a list of top 10 sources of free remote sensing data below-
1.
GLOVIS
2.
NASA Earth Observation
3.
USGS Earth Explorer
4.
ESA Sentinel Data
5.
NASA Earth Data
6.
NOAA Class
7.
NOAA Digital Coast
8.
IPPMUS Terra
9.
LANCE
10. VITO Vision
Remote Sensing Career Position
If you want to build a career in remote sensing and spatial data analytics then you need a plan. You can build your career both academia and industry sectors. It depends on you. Career plan making should be start from your first day at the university during your Bachelor study. You can be a professor in a university or a scientist in a big lab of a research institute or in a big company or you can start your own company. Additionally, the internet brings a huge opportunity for us. Anyone with expertise in remote sensing can work as independent freelance job from anywhere from the world. There are several online marketplaces like Upwork and others for remote sensing specialists offering high amount of money. This work may be contractual or full time remote job. Choose whatever you want.
Generally, your position in an organization may name like these below-
a)
Remote Sensing Specialist
b)
Remote Sensing Engineer
c)
Remote Sensing Scientist
d)
Remote Sensing Analyst
e)
GIS Analyst
f)
Remote Sensing and GIS Manager
g)
Product Manager
h)
Remote Sensing Consultant
i)
Data Scientist
j)
Imagery Scientist
k)
System Engineer
l)
GIS Developer
m)
Management Information System Expert
n)
Data Manager
o)
Data Engineer
p)
Machine Learning Engineer
q)
Scientific Officer
s) Or something like that depend on specific subject area
The salary structure of a remote sensing professional varies from one country to another. According to the glassdoor the average salary of remote sensing professional is $35,326/Year in USA. Generally, to get a career position in the field of remote sensing and GIS you need to have minimum a Bachelor degree in remote sensing related field of study like Geography, Environmental Science, Electrical Engineering, Computer Science, Aeronautics & Astronautics, Agriculture, Forestry, Telecommunication Engineering, Urban Planning, Disaster Management, Regional Development etc. A Master degree is essential to get higher paid job. If you want to pursue a fully research job or academic job in a university, a Doctorate degree is mandatory to compete in global market. Research experience always helps to get high paid job.
Typical Activities
If you want to build your career in remote sensing and spatial data analytics then you have to know what have to do in your prospective organization. Let’s have a look-
- Analyzing data acquiring form satellites, aircrafts or ground based platform
- Collecting and formatting image data
- Processing data using image processing software like ArcGIS, QGIS, IDRISI Selva, Erdas Imagine, and different statistical analysis software
- Using different programming software like Python, R for image processing, analysis and visualization
- Using cloud based technology like Google Earth Engine, IBM Cloud for Serverless Remote Sensing Data
- Database design and development
- Participating fieldwork for data collection
- Developing new methodology and techniues for data collection, processing and analysis
- Map analysis
- Report preparation, delivering and presentation
- Participating different seminars, workshops and conference related to remote sensing for knowledge sharing and exchange
- Writing several research papers and publishing in reputed journals
- And so on
Top Journal of Remote Sensing
You can check
this SCIE Selected Remote Sensing journals-
DON'T MISS: Introducing Spatial Analytics: The Future of Data Analysis
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