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MortadhaMannai / repository
The remote sensing systems used to detect icebergs are housed on satellites over 600 kilometers above the Earth. The Sentinel-1 satellite constellation is used to monitor Land and Ocean. Orbiting 14 times a day, the satellite captures images of the Earth's surface at a given location, at a given instant in time. The C-Band radar operates at a frequency that "sees" through darkness, rain, cloud and even fog. Since it emits it's own energy source it can capture images day or night. Satellite radar works in much the same way as blips on a ship or aircraft radar. It bounces a signal off an object and records the echo, then that data is translated into an image. An object will appear as a bright spot because it reflects more radar energy than its surroundings, but strong echoes can come from anything solid - land, islands, sea ice, as well as icebergs and ships. The energy reflected back to the radar is referred to as backscatter. Here we see challenging objects to classify. We have given you the answer, but can you automate the answer to the question .... Is it a Ship or is it an Iceberg?
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mortcanty /
Python scripts and Jupyter Notebooks for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fifth Revised Edition"
70/100 healthAkash-Ramjyothi /
Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land cover into various other categories as well as shown in the Sample predicted results.
49/100 healthjaydharpure2007 /
This repository provides the globally scaled 11-month gap-filled data between GRACE and GRACE-FO TWSA. Additionally, it includes a Jupyter Notebook with code implementing three machine learning and two deep learning models for gap-filling. The dataset generated by the best-performing model is also provided.
37/100 healthparkerg1952 /
A repository for working with project organization strategies in the context of remote sensing and jupyter notebooks.
30/100 healthmichalaphillips /
A repository for working with project organization stratetegies in the context or remote sensing and jupyter notebooks.
29/100 healthmdkhademali /
In this series, I have explained everything step by step to teach GIS, Remote Sensing, and Machine Learning in Bangla. The lessons are demonstrated using Python with Jupyter Notebooks, where I have explained the concepts through practical coding examples.
47/100 health