The main aim of the task is to analyze the vast amount of remotely sensed datasets and to automate the process. To complete the task, you will need to have access to Google Earth Engine ([login to view URL]), and you need to have R installed. For each of the following five tasks, follow the steps, document the workflow. Keep in mind that for each of the tasks along with the report, you will have to submit the code as well (in case of EarthEngine include the link to the shared code, and in the case of R, attach the file).
1. Create a processing chain for Landsat 8 imagery in GEE.
• Get the Landsat-8 Surface Reflectance collection, filter it by time and location.
• Apply a cloud masking function on a collection*
• Apply a function to calculate NDVI over a collection and calculate the maximum of the collection.
2. Binary classification (water/no water, forest no forest)
• Get Sentinel-2 data, filter it a with date, location, and metadata (select images with cloud cover is less than 10%) and make a median composite.
• Collect some training data for water/no water areas (you can choose another binary class such as forest/no forest, this depends on the area of interest selected and the landscapes in that area) and apply a classifier (e.g., Random Forest) for delineation of the areas.
3. Use the MODIS collection to inspect time series over different biomes.
• Get MODIS NDVI collection (make sure to select the collection with 16-day frequency), apply filters and plot times series for different biomes. Describe the patterns in the series that you extracted.
4. In this section you will use BFAST on the NDVI time series that you extracted in EE (from 5 areas of interest) to detect changes within the time series. Use the time series from the previous task, read it in R and apply the BFAST function. Copy the resulting R BFAST graph in the report and describe the detected components and change types
detected within the time series.
5. Get Land Surface Temperature and NDVI data from MODIS* and calculate the correlation between these two datasets.
Greetings,
We have read the project description and you will be glad to know that it is in our domain. Allow us to assist you in the project.
Warmest Regards
Hello Dear,
Greetings of the day!
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I'm detailed oriented person with passion for learning and improving my skills. I offer various civil engineering services to any type of business entity or individuals in any part of the world. Below are summary of services I offer:
- Structural Designing
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I strongly believe that I have all the qualities you require for the mentioned job and can assure you that I possess all the abilities needed for this job. I would be very grateful for a chance to prove myself and look forward to meeting you in order to gauge my capabilities, competency and compatibility with your organization.
Regards,
Engr. Fahad Khan
This project is exactly what I learned how to do during my time in college. I have worked through many projects that required determining NDVI and delineating certain types of vegetation based on their reflectance. If you take a look at my profile you can see examples of my work. I am also familiar with R and have utilized it on several projects. I can can help create all the data required in a timely and cost efficient manner.
Hello
I have a post graduate degree in Geography and GIS and Remote Sensing and more than 11th years of experience in GIS professional exposure.
GIS & RS type Work:-
1. Watershed Mapping
2. LULC
3. Georeferenceing
4. CAD TO GIS
5. Creating Model
6. Thematic Map
7. Raster to Vector
8. Digitazing
9. DEM Creation From Open Source
etc