Google Earth Engine (GEE) Python API | Forest Canopy Density Mapping смотреть онлайн

-------[Tutorial About]--------
How to map the Forest Canopy Density using Google Earth Engine (GEE) - A cloud based computing Remote Sensing that opensource , register the project first (https://code.earthengine.google.com/)

Assuming a reforestation and afforestation of Carbon Project requires the information of Forest and no Forest area as baseline, and the definition can be defined by classifying a Forest Canopy Density and set the threshold. This FCD is using the Principal Component Analysis and incorporating multiple spectral indices (AVI, BSI, SI).

Some of the hands-on demonstration and troubleshoot is shown in the video.

0:00:00 - Intro and Python Installation
0:07:58 - Installing pip requirements, theory overview
0:20:27 - GEE setup, authentication, input data explanation
0:35:00 - Historical data use, Hansen data
0:36:03 - Cloudless masking, mosaicking for Landsat
0:37:08 - Reflectance vs Digital Number, Spectral Indices start
0:40:15 - Normalization, PCA
0:42:23 - Cloudless masking, mosaicking for Sentinel
0:42:58 - Custom band assignment function
0:43:48 - Applying empirical equation
0:44:49 - Function run, computation error
0:48:08 - Issue: Area of Interest too big
0:49:09 - Troubleshoot: Linux remote desktop (RDP)
0:50:22 - Troubleshoot: Linux SSH, vscode
0:59:00 - Notebook on different server (failed)
1:04:28 - Timeout error persists
1:04:48 - Success with large AOI from repository
1:07:54 - Classification and zoning with FCD
1:09:30 - First FCD result (Landsat, no Thermal Index)
1:11:55 - Topographic correction demo
1:14:05 - Regrowth forest info with overlays
1:19:08 - Adding Thermal Index
1:26:02 - Conditional process with Thermal Index
1:29:53 - Troubleshoot: Thermal and Shadow Index
1:34:24 - Thermal Index improvement, PCA combination
1:43:02 - Work with Sentinel Images, errors
1:51:02 - Error handling, image saving
1:53:48 - Cloudless asset input
1:55:25 - Successful Cloudless asset usage
1:56:17 - Third FCD result (Sentinel Cloudless)
2:00:03 - Threshold experimentation
2:10:39 - Working with Planet NICFI data
2:13:49 - Computation timeout issue
2:14:53 - Planet NICFI asset export
2:26:57 - Planet NICFI asset input for FCD
2:30:32 - Fourth FCD result (Planet NICFI)
2:33:59 - Threshold adjustment
2:38:10 - Final Planet NICFI FCD result, Google Drive export
2:49:15 - Data loading, visualization in QGIS

Script resource from Github: https://github.com/miqbalf/GEE_notebook_Forestry
Notebook: https://github.com/miqbalf/GEE_notebook_Forestry/blob/main/QuickCheck_Carbon_AR_Zone_v7.ipynb

--------[Credits]-------------
The Google Earth Engine: https://www.google.com/earth/education/tools/google-earth-engine #:~:text=Google%20Earth%20Engine%20is%20a,natural%20resource%20management%2C%20and%20more
https://code.earthengine.google.com/

One of the tutorial for using Python API of GEE: https://developers.google.com/earth-engine/tutorials/community/intro-to-python-api

Python library to visualize GEE: https://geemap.org/

This Forestry Canopy Density is based on the PCA and adapted from different paper:
http://www.ijesd.org/vol8/1012-F0032.pdf
http://www.itto.int/files/itto_project_db_input/2056/Technical/pd13-97-3%20rev1(F)%20FCD-Mapper%20User's%20Guide_e.pdf
https://code.earthengine.google.com/a6013a970da3901f42b1db8ae7fc265a

The backsound music/ instrument are from these link:
https://www.youtube.com/watch?v=BMuknRb7woc
https://www.youtube.com/watch?v=VB6SIKl8Md0

Please like, comment, and subscribe and I will make more video with another Tutorial

PS: apologize for a sleepy voice/commentary :D