MY WORK

1. A dynamic platform built to monitor and analyze forest disturbances and carbon dynamics, example of 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. Mapping the trees outside forest

This project is designed to understand the often overlooked parts of the forest carbon existed in non-forest vegetations.

You can access the platform through this link: https://ens-yangsu-forest-china.projects.earthengine.app/view/china-forest-mapping-illustration-v1

Forest & Non-forest mapping in China

An illustration of tree mapping across diverse eco-systems

Carbon composition in forest & non-forest

Forest edge effect

We illustrated a decreasing trend in AGC density when trees are close to the forest edges

3. Environmental impact of forest disturbance

The goal of this study is to understand the impact of different type of forest disturbances on Land Surface Temperature (LST) and its thermal recovery trajectories and thermal footprints.

Forest disturbance induced LST change

Thermal footprints

The impact of disturbance is accumulated through years

4. 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/

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