Yang Su

Yang Su
Ecole Normale Supérieure de Paris | ENS · Département d'Informatique

Doctor of Philosophy

About

20
Publications
12,688
Reads
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459
Citations
Introduction
Monitoring the forest disturbances based on remote sensing and computer vision tools Estimating the environmental impacts of climate change mitigation measures through machine learning approaches
Additional affiliations
November 2021 - present
French National Institute for Agriculture, Food, and Environment (INRAE)
Position
  • Researcher
Education
September 2016 - September 2018
École Polytechnique
Field of study
  • Energy Environment: Science Technology and Management

Publications

Publications (20)
Preprint
Full-text available
Traditional methodologies, such as mass spectrometry and laser spectroscopy, have been widely employed for precise water vapor isotope measurements. Nevertheless, these techniques are limited by logistical challenges in fieldwork, consequently constraining the temporal and spatial resolution of measurements. Specifically, water vapor isotope measur...
Preprint
Full-text available
The direction and magnitude of soil organic carbon stock (SOCS) change following land use and land cover change (LULCC) are highly uncertain, largely due to the lack of relevant global soil data. Great efforts have been made to build SOCS database at regional, national and even sub-continental scales following LULCC; however, a comprehensive and op...
Article
Full-text available
Understanding and managing soil organic carbon stocks (SOCS) are integral to ensuring environmental sustainability and the health of terrestrial ecosystems. The information of soil bulk density (BD) is important in accurately determining SOCS while it is often missing in the soil database. Using 3,504 soil profiles (14,170 soil samples) that repres...
Article
Full-text available
Management practices that increase the surface albedo of cultivated land could mitigate climate change, with similar effectiveness to practices that reduce greenhouse gas emissions or favor natural CO2 sequestration. Yet, the efficiency of such practices is barely quantified. In this study, we quantified the impacts of seven different management pr...
Article
Full-text available
Climate change-induced precipitation anomalies during extremely wet years (EWYs) result in substantial nitrogen losses to aquatic ecosystems (N w). Still, the extent and drivers of these losses, and effective mitigation strategies have remained unclear. By integrating global datasets with well-established crop modeling and machine learning techniqu...
Preprint
Full-text available
Double cropping can help reduce the risk of food insecurity by harvesting two crops each year instead of one. Byincreasing the rate of plant development and shortening growing seasons, global warming is likely to favour this typeof system in areas where it is not yet being applied. Here we assess the probability of success of double croppingmaize a...
Article
Full-text available
Battery cycle life prediction using early degradation data has many potential applications throughout the battery product life cycle. For that reason, various data-driven methods have been proposed for point prediction of battery cycle life with minimum knowledge of the battery degradation mechanisms. However, managing the rapidly increasing amount...
Article
Full-text available
Epiphytes typically exhibit clustered distribution patterns, but predicting the spatial variation of their distribution at fine scales has long been a challenge. Taking advantage of a canopy crane giving access to 1.1 ha of lowland seasonal rainforest in Yunnan (China), we assess here which factors promote the probability that a given tree hosts ep...
Article
Full-text available
Epiphytic communities offer an original framework to disentangle the contributions of environmental filters, biotic interactions and dispersal limitations to community structure at fine spatial scales. We determine here whether variations in light, microclimatic conditions and host tree size affect the variation in species composition and phylogene...
Preprint
Battery cycle life prediction using early degradation data has many potential applications throughout the battery product life cycle. Various data-driven methods have been proposed for point prediction of battery cycle life with minimum knowledge of the battery degradation mechanisms. However, management of batteries at end-of-life with lower econo...
Preprint
Full-text available
Epiphytic communities live in a unique, three-dimensional micro-habitat space that offers an original framework to disentangle the contribution of environmental filters, biotic interactions and dispersal limitation to community structure at small spatial scales. We took advantage of a tropical canopy crane facility to record and model spatio-tempor...
Article
Full-text available
Assessing the productive performance of conservation agriculture (CA) has become a major issue due to growing concerns about global food security and sustainability. Numerous experiments have been conducted to assess the performance of CA under various local conditions, and meta-analysis has become a standard approach in agricultural sector for ana...
Thesis
In this thesis, we present a machine learning (ML) pipeline that produces data-driven global maps to address the global agricultural issues, such as assessing the spatial distribution of the productivity conservation agriculture (CA) versus conventional tillage (CT) under current and future climate. Our approach covers the selection and comparison...
Article
Full-text available
Conservation agriculture (CA) is being promoted as a set of management practices that can sustain crop production while providing positive environmental benefits. However, its impact on crop productivity is hotly debated, and how this productivity will be affected by climate change remains uncertain. Here we compare the productivity of CA systems a...
Article
Full-text available
Conservation agriculture (CA) has been promoted to mitigate climate change, reduce soil erosion, and provide a variety of ecosystem services. Yet, its impacts on crop yields remains controversial. To gain further insight, we mapped the probability of yield gain when switching from conventional tillage systems (CT) to CA worldwide. Relative yield ch...
Article
Full-text available
No tillage (NT) is often presented as a means to grow crops with positive environmental externalities, such as enhanced carbon sequestration, improved soil quality, reduced soil erosion, and increased biodiversity. However, whether NT systems are as productive as those relying on conventional tillage (CT) is a controversial issue, fraught by a high...
Article
Full-text available
To respect the Paris agreement targeting a limitation of global warming below 2°C by 2100, and possibly below 1.5 °C, drastic reductions of greenhouse gas emissions are mandatory but not sufficient. Large‐scale deployment of other climate mitigation strategies are also necessary. Among these, increasing soil organic carbon (SOC) stocks is an import...
Preprint
Full-text available
Conservation agriculture (CA) is being promoted as a set of management practices that can sustain crop production while providing positive environmental externalities. However, its impact on crop productivity is still hotly debated, and how this productivity will be affected by climate change remains uncertain. Here we compared the productivity of...
Conference Paper
Point reactor neutron kinetics equations describe the time dependent neutron density variation in a nuclear reactor core. These equations are widely applied to nuclear system numerical simulation and nuclear power plant operational control. This paper analyses the characteristics of 10 different basic or normal methods to solve the point reactor ne...

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