Embedded Files
1. A dynamic platform built to monitor and analyze forest disturbances, such as wildfires, human-driven deforestation, and reforestation efforts across the Iberian Peninsula
1. A dynamic platform built to monitor and analyze forest disturbances, such as wildfires, human-driven deforestation, and reforestation efforts across the Iberian Peninsula
This initiative is designed to provide real-time insights into the ever-changing state of these forests, enabling a deeper understanding of the ecological impact of disturbances and the proactive efforts to mitigate them. We invite you to explore this resource, gaining a comprehensive perspective on the ongoing challenges and restoration initiatives within the Iberian Peninsula's forests, contributing to the safeguarding of this invaluable natural resource.
You can access the platform through this link: https://ee-ys-inrae.projects.earthengine.app/view/ai4forestprojectofspanishforestv1
Theoretical framework underlying this platform
Lidar reflections contain canopy height information
Train a deep model to establish a connection between GEDI lidar data (satellite), Airborne lidar data (airplane) and observations from the Sentinel satellite (17 bands in total)
Comparing model predictions with Airborne lidar scanning (ALS) observations
ALS observations
ALS-based UNET model predictions
GEDI-based UNET model predicitons
Tree detection in different backgrounds
Mountain range (Google Maps)
Mountain range (Model prediction)
City (Google Maps)
City (Model prediction)
Lake (Google Maps)
Lake (Model prediction)
Forest disturbance monitoring
S2 2018
S2 2020
ALS-based UNET prediction 2020 - 2018
GEDI-based UNET prediction 2020 - 2018
2. A platform to check local productive performance of conservation agriculture vs. conventional tillage
2. A platform to check local productive performance of conservation agriculture vs. conventional tillage
The goal of this platform is to help the farmers know more about conservation agriculture, and its productive performance in different regions, climate conditions and farming practices. We would like to invite the farmers check the productive performance of conservation agriculture at their own regions, then make their own decisions regarding shifting the current farming system to conservation agriculture!
This platform is based on the following published papers:
Su, Y., Gabrielle, B. & Makowski, D. The impact of climate change on the productivity of conservation agriculture. Nat. Clim. Chang. 11, 628–633 (2021). https://doi.org/10.1038/s41558-021-01075-w
Su, Y., Gabrielle, B., Beillouin, D. et al. High probability of yield gain through conservation agriculture in dry regions for major staple crops. Sci Rep 11, 3344 (2021). https://doi.org/10.1038/s41598-021-82375-1
Su, Y., Gabrielle, B. & Makowski, D. A global dataset for crop production under conventional tillage and no tillage systems. Sci Data 8, 33 (2021). https://doi.org/10.1038/s41597-021-00817-x
You can access the platform through this link: https://yangsu-ecole-polytechnique.shinyapps.io/Platform-of-checking-local-productive-performance-of-CA/
Page updated
Google Sites
Report abuse