Detección remota Jobs
Remote sensing is the science of obtaining information about an object without making physical contact. It is used in many fields such as geology, hydrology, oceanography, and many more. A Remote Sensing Engineer is an expert in this rapidly evolving field who can help make sense of complex data to uncover meaningful insights.
By utilising remote sensing techniques, professionals can process multiple types of data from different remote sources such as aerial photography and satellite images. Remote Sensing Engineers bridge the gap between environmental monitoring and computer science by combining cutting-edge technology and data analysis skills to create meaningful insights for their clients.
The use of remote sensing techniques can help to monitor and improve conditions in a range of different applications such as disaster management, urban planning, crop growth, and pollution control monitoring. With the availability of larger amounts of data and the development of more powerful tools for analysis, our Remote Sensing Engineers can help you understand the information you need to make better informed decisions.
Here's some projects that our expert Remote Sensing Engineer made real:
- Connected onsite motion sensors to cloud mapping platforms
- Digitized urban areas using ArcMap or ArcGis Pro
- Used Python to compute means and medians from satellite imagery
- Created maps quickly using GIS expertise
- Configured Raspberry PI 3B+ & GPIOs for multiple sensors
- Designed proteus projects to modify behaviour using water pumps
- Developed CNN Models for Satellite Image Classification
- Consulted businesses on UAVs, flight paths, & software products
At Freelancer.com we have some of the most talented Remote Sensing Engineers in the world who can help provide invaluable insights into environmental change and assessing urban resources from afar. As technology continues to evolve, so does Remote Sensing which is why it is so advantageous to hire one of our experts today! Post your project now on Freelancer.com and start benefitting from our unparalleled services.De 4,224 opiniones, los clientes califican nuestro Remote Sensing Engineers 4.94 de un total de 5 estrellas.
Contratar a Remote Sensing Engineers
APPLICANTS WITHOUT THE PROPER EXPERTISE WILL NOT BE ACCEPTED. Hi I am looking for a ghostwriter who has EXPERTISE IN REMOTE SENSING, HYPERSPECTRAL PROXIMAL SENSING, STATISTICS, MATHEMATICS (MACHINE LEARNING) and who has an appropriate knowledge of AGRONOMY/AGRICULTURE/CROP PHYSIOLOGY, and any other RELATED field to write a research paper on "assessment of yield and composition using hyperspectral vegetation indices". The maximum length of the paper should be 20 pages including references, figures minimum 300 DPI, table editable, referencing style (no preference), and the deadline is 1-2 month max from now. All results (graphs and table including all appropriate caption, labelling etc..) should be generated by the ghostwriter using the dataset I will provide. My dataset consis...
I am looking for someone to write a review paper on crop yield forecasting using remote sensing technology, agrarian factors and machine learning. The ghostwriter who wrote it lack knowledge on the topic and I feel the work is substantiated and not appropriate.. The maximum length should be around 20 to 25 pages including references (Harvard Author Date Style or any other format). Figures should be drawn or copied from another article and properly referenced minimum resolution is 300 DPI. The tables compiling studies or other data should also be drawn in word and should be editable and properly referenced. Plagiarism for the whole paper should be kept to a minimum <15%. Please attach the turnitin report. I want the paper to be well researched, so new sources will need to be added that...
I am looking for an experienced freelancer to help me interpret a false-color vegetation map of a natural area.
Estimating crop yield and quality from Hyperspectral Vegetation Indices Using Deep Learning/Machine Learning". I have the dataset which consist of the target variables (crop yield and quality parameters) which needs to be predicted from the independent variables (the hyperspectral vegetation indices). Please let me know how much will it cost for you to implement the code, get the results (graphs and tables) and write the full scientific manuscript. I am looking for someone with remote sensing, GIS, machine learning and related skills. Deadline for work is 2 months from now thanks Example of a similar research paper: