Is it possible to classify PlanetScope Imagery using Convolutional Neural Networks in Google Earth Engine Code Editor? I would be highly grateful for any help in this regards.
Touseef Ahmed Yes, convolutional neural networks (CNNs) may be used to categorize PlanetScope images in Google Earth Engine (GEE) Code Editor. GEE has a number of tools and resources for doing image classification using CNNs, such as the ability to train and export models with TensorFlow and Keras, as well as the ability to apply models to image data with the GEE Image and FeatureCollections classes.
Here's an example of how you may use GEE with a CNN to identify PlanetScope imagery:
1. Load your PlanetScope imagery as an ImageCollection into GEE.
2. To extract the day of the year band from the picture collection, use GEE's Chart.image.doy() method.
3. Make training and validation data by drawing polygons on the picture and using the sampleRegions() function to retrieve the band values for each polygon.
4. Train a CNN model with TensorFlow or Keras using the exported training and validation data.
5. Use the trained CNN model to categorize all of the PlanetScope images.
6. To export the categorized picture, use GEE's export.image() method.
The GEE code editor provides a JavaScript-based environment for running GEE scripts and accessing GEE functions and classes. You may easily handle massive datasets, do complicated analyses, and visualize findings with the GEE code editor. You may also utilize the GEE code editor to export your results for usage in other platforms or applications like Google.
Remember that this is a high-level example, and you may need to modify the code to meet the unique needs of your project.
Yes, they can be used in GEE. All the GEE processors can also be applied to Planet Images.
In addition to that if you are doing research on as I remember climate change or deforestation (something like that) they are providing additional help and aids (like free imagery) till September 2023 with conjunction with some European government entity.
Planet is one of the best resource for imagery and I admire their initiatives for betterment of the our planet as well.
Please go to "https://developers.planet.com/docs/integrations/gee/" for all the details you are looking for.
Yes, they do provide NICFI imagery but unfortunately this Imagery do not cover Pakistan (study area). I have educational contract with them for 1 year to get any scene I want for my study.
Thanks for answering my question. Do you have direct experience of using CNN in GEE?
Planet Images covers the globe with at least 3m spatial resolution and less than 24 hours temporal resolution. Therefore, I doubt that there are no Images of your study area. should have contacted planet sales team. If you can prove that you are doing a valuable academic research with no commercial interest they will definitely help you. They are very good and respectable organization with admirable corporate social responsibility (CSR) and support for research.
If you are considering doing higher degree CNN applications with GEE my preference is to use the combination of Google Earth Engine + Google Cloud planforms + Python API. (in your case "Planet + Google Earth Engine + Google Cloud Platforms + Python API")