Modeling Forest Canopy Height with GEDI L2A and Planet-NICFI Data

[@jonathankouassi3026]

Well done. Good place to learn. Thanks Courage

[@layazeinali9475]

that was great

[@omidbagheri2009]

Hello, Honorable. I will be grateful if you share the code.

[@AlemayehuMullatu]

Thank you for the tutorial , can we get temporal resolution of the data(GEDI L2A and Planet-NICFI) in EE catalogue?

[@couragekamusoko5689]

The GEDI data availability in Earth Engine spans from 2019-03-25 to 2023-01-01. However, the actual revisit period varies depending on the ISS orbital cycle and the latitude of the area of interest. The temporal resolution of Planet-NICFI data in the Earth Engine catalog varies depending on the period. So please check for your area of interest.

[@AlemayehuMullatu]

@@couragekamusoko5689 Thank you very much!

[@yukoshimizu1063]

The code is the description below. Please confirm if you can access the code.

[@omidbagheri2009]

yes

[@lorenasouza3443]

When I downloaded the GEDI Level 2A RH metrics, I noticed some signals with values of 80m, 100m, and even up to 130m. This occurs for metrics such as RH98, RH95, RH80, and RH70. I tested it considering slope, and it happens across all declivities. Can someone help me?

[@yukoshimizu1063]

Generally, tree height depends on location. Therefore, you need to have an idea of tree height in your study area. Note that on steep slopes, GEDI relative height (RH)can be exaggerated due to differences in elevation within the laser footprint. In addition, the lidar signal can encounter anomalies or noise, especially in areas with challenging topography or sparse ground returns. These anomalies might cause unrealistically high RH values. So you need to filter extreme RH values or outliers.