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Faculty

Peiqi Yang Professor

Bio: 

Basic personal information

Reviewer for journals such as Science Advances, Remote Sensing of Environment, Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Agricultural and Forest Meteorology, Journal of Geophysical Research, etc.Young editorial board member of Journal of Remote Sensing. Remote sensing special editor and theme editor.

Main research direction

  • Quantitative remote sensing of vegetation
  • Radiative Transfer Modeling
  • Chlorophyll fluorescence remote sensing
  • Carbon and water cycle in terrestrial ecosystem

Work experience

  • 2021.07----Present, Nanjing Normal University, School of Geographical Sciences, Professor
  • 2018.07----2021.07, University of Twente, Netherlands, ITC, Researcher
  • 2015.07----2015.09, Jülich Institute, Germany, short-term visit
  • 2019.03----2019.04, University of Maryland Baltimore/Goddard Space Flight Center (GSFC), short-term visit

Educational experience

  • 2014.09----2018.07, University of Twente, Netherlands, ITC (Water Resource Department), International School of Geographic Information Science and Earth Observation, Ph.D.
  • 2011.09----2014.07, Beijing Normal University, School of Geography and Remote Sensing Science, Cartography and GIS, Master of Science
  • 2007.09----2011.07, Wuhan University, School of Surveying and Mapping, Surveying and Mapping Engineering, Bachelor of Engineering

Research projects

  • 1. National Natural Science Foundation of China, Youth Science Foundation Project, 42101349, Research on the inversion of photosynthetic physiological information of vegetation by fusing reflectance and sunlight-induced chlorophyll fluorescence signals, 2022-01 to 2024-12, 300,000 yuan, under research, in charge
  • 2. NWO, ALWGO.2017.018, Exploring vegetation strategies to regulate light and water use through satellite remote sensing, 2018-04 to 2024-12, 230,000 euros, completed, Co-PI
  • 3. European Commission for Science and Technology, Scientific Cooperation Project COST, CA17134, Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits (SENSECO), 2018-08 to 2022-08, under research, member of the Management Committee
  • 4. National Natural Science Foundation of China, General Project, 31971780, Research on the Mechanism and Method of Estimating Wheat Productivity under High Temperature and Drought Based on Sunlight Induced Chlorophyll Fluorescence, 2020-01 to 2023-12, 580,000 yuan, under research, participated
  • 5. Sub-project of the National High-tech Research and Development Program (863 Program), 2006AA12Z145, Key Technology for Building a Knowledge Base of Land Object Characteristics for Remote Sensing Product Assimilation, 2012-01 to 2014-12, 3.72 million yuan, completed, participated
  • 6. Sub-project of National Key Basic Research Development Program (973 Program), 2013CB733406, Multi-model remote sensing collaborative inversion and dynamic analysis of soil-vegetation hydrothermal parameters, 2013-1 to 2017-7, completed, participated

Publish papers

  • 1. Yang, P., Prikaziuk, E., Verhoef, W., & van Der Tol, C.* (2021). SCOPE 2.0: A model to simulate vegetated land surface fluxes and satellite signals. Geoscientific Model Development, 14( 7), 4697-4712.
  • 2. Yang, P.*, Verhoef, W., Prikaziuk, E., & van der Tol, C. (2021). Improved retrieval of land surface biophysical variables from time series of Sentinel-3 OLCI TOA spectral observations by considering the temporal autocorrelation of surface and atmospheric properties. Remote Sensing of Environment, 256, 112328.
  • 3. Yang, P.*, Van der Tol, C., Campbell, PK, & Middleton, EM (2020). Unravelling the physical and physiological basis for the solar-induced chlorophyll fluorescence and photosynthesis relationship. Biogeosciences, 1-32.
  • 4. Yang, P.*, van der Tol, C., Tiangang Yin., Verhoef, W. (2020). The SPART model: a soil-plant-atmosphere radiative transfer model for satellite measurements in the solar spectrum. Remote Sensing of Environment, 247, 11187.
  • 5. Yang, P.*, van der Tol, C., Campbell, P. and Middleton, E., (2020). Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111676.
  • 6. Yang, P.*, Verhoef, W., van der Tol, C., (2020). Unified four-stream radiative transfer theory in the optical-thermal domain with consideration of fluorescence for multi-layer vegetation canopies. Remote Sensing .
  • 7. Yang, P.*, van der Tol, C., Verhoef, W., Damm, ... & Rascher, U., 2019. Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence, Remote Sensing of Environment, 231.
  • 8. Yang, P.*, van der Tol, C., 2018. Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. Remote Sensing of Environment, 209, 456 – 467.
  • 9. Yang, P.*, Verhoef, W., van der Tol, C., 2017. The mSCOPE model: A simple adaptation to the SCOPE model to describe reflectance, fluorescence and photosynthesis of vertically heterogeneous canopies. Remote Sensing of Environment, 201, 1-11.
  • 10. Yang, P.*, Van der Tol, C., Rascher, U., Damm, A., Schickling, A., & Verhoef, W. (2016, December). Detecting Crop Functional Response to a Heat Wave using Airborne Reflectance and Sun-induced Chlorophyll Fluorescence Measurements. In AGU Fall Meeting Abstracts (Vol. 2016, pp. B51B-0390).
  • 11. Yang, P.*, van der Tol, C. (2018), A spectral invariant approach to modelling radiative transfer of sun-induced chlorophyll fluorescence. IEEE Geoscience and Remote Sensing Symposium (IGARSS).
  • 12. Yang, P., Liu, Z. *, (2013) Remote sensing of solar-induced chlorophyll fluorescence from an unmanned airship platform. IEEE Geoscience and Remote Sensing Symposium (IGARSS).
  • 13. Yang Peiqi, Liu Zhigang*, Ni Zhuoya, Wang Ran, Wang Qingshan, 2013. Detection of sunlight-induced chlorophyll fluorescence in vegetation based on a low-altitude imaging hyperspectral system. Spectroscopy and Spectral Analysis, 33(11), 3101-3105.
  • 14. Campbell, P., Middleton, E., Huemmrich, K., Ward, L., Julitta, T., Yang, P., ... & Kustas, W. (2021). Scaling photosynthetic function and CO2 dynamics from leaf to canopy level for maize–dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity. Data in Brief, 39, 107600.
  • 15. Siegmann, B., Cendrero-Mateo, MP, Cogliati, S., Damm, A., Gamon, J., Herrera, D., ... Yang, P. , & Rascher, U. (2021). Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant. Remote sensing of environment, 264, 112609.
  • 16. Malenovský, Z., Regaieg, O., Yin, T., Lauret, N., Guilleux, J., Chavanon, E., ... Yang, P., & Gastellu-Etchegorry, JP (2021). Discrete anisotropic radiative transfer modelling of solar-induced chlorophyll fluorescence: Structural impacts in geometrically explicit vegetation canopies. Remote Sensing of Environment, 263, 112564.
  • 17. Wang, Y., Zeng, Y., Yu, L., Yang, P., Van der Tol, C., Yu, Q., ... & Su, Z. (2021). Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1. 0.0). Geoscientific Model Development, 14(3), 1379-1407.
  • 18. Prikaziuk, E., Yang, P., & van der Tol, C. (2021). Google Earth Engine Sentinel-3 OLCI Level-1 Dataset Deviates from the Original Data: Causes and Consequences. Remote Sensing, 13(6 ), 1098.
  • 19. van der Tol, C., & Yang, P. (2020, December). From SIF to photosynthesis: Achievements, challenges and opportunities. In AGU Fall Meeting Abstracts (Vol. 2020, pp. B039-02).
  • 20. van der Tol, C., Yang, P., Prikaziuk, E., & Verhoef, W. (2020, December). Energy budget and radiative transfer modelling in the soil, vegetation, atmosphere continuum. In AGU Fall Meeting 2020 .
  • 21. Bayat, B., van der Tol, C., Yang, P., Montzka, C., Vereecken, H., & Verhoef, W. (2020, May). Integrating soil moisture in SCOPE model for improving remote sensing of evapotranspiration and photosynthesis under water stress conditions. In EGU General Assembly Conference Abstracts (p. 5658).
  • 22. Celesti, M., Biriukova, K., Campbell, PK, Cesana, I., Cogliati, S., Damm, A., ... , Yang, P., & Colombo, R. (2020, May) . Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion. In EGU General Assembly Conference Abstracts (p. 14904).
  • 23. Joiner, J., Yoshida, Y., Köehler, P., Campbell, P., Frankenberg, C., van der Tol, C., Yang, P.,... & Sun, Y. (2020) . Systematic orbital geometry-dependent variations in satellite solar-induced fluorescence (SIF) retrievals. Remote sensing, 12(15), 2346.
  • 24. Tagliabue, G., Celesti, M., Biriukova, K., Campbell, PKE, Cesana, I., Cogliati, S., ... Yang, P., & Colombo, R. (2019, December). Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion. In AGU Fall Meeting Abstracts (Vol. 2019, pp. B11Q-2277).
  • 25. van der Tol, C., Vilfan, N., Dauwe, D., Cendrero-Mateo, MP, & Yang, P. (2019). The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE. Remote sensing of environment, 232, 111292.
  • 26. Bayat, B., van der Tol, C., Yang, P., & Verhoef, W. (2019). Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions . Remote sensing of environment, 221, 286-301.
  • 27. Martini, D., Pacheco-Labrador, J., Perez-Priego, O., Van der Tol, C., El-Madany, TS, Julitta, T., Yang, P.,... & Migliavacca, M. (2019). Nitrogen and phosphorus effect on sun-induced fluorescence and gross primary productivity in mediterranean grassland. Remote sensing, 11(21), 2562.
  • 28. Celesti, M., van der Tol, C., Cogliati, S., Panigada, C., Yang, P., Pinto, F., ... & Rossini, M. (2018). Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion. Remote sensing of environment, 215, 97-108.
  • 29. van der Tol, C., Vilfan, N., Yang, P., Bayat, B., & Verhoef, W. (2018, July). Modeling reflectance, fluorescence and photosynthesis: Development of the scope model. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 5968-5971). IEEE.
  • 30. Vilfan, N., van der Tal, C., Yang, P., & Verhoef, W. (2018, July). Retrieving photosynthetic capacity parameter from leaf photochemical reflectance and chlorophyll fluorescence. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 5991-5994). IEEE.
  • 31. Vilfan, N., Van der Tol, C., Yang, P., Wyber, R., Malenovský, Z., Robinson, SA, & Verhoef, W. (2018). Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics. Remote sensing of environment, 211, 345-356.
  • 32. Ni, Z., Liu, Z., Li, ZL, Nerry, F., Huo, H., Sun, R., Yang, P., & Zhang, W. (2016). Investigation of atmospheric effects on Retrieval of sun-induced fluorescence using hyperspectral imagery. Sensors, 16(4), 480.
  • 33. Wang Ran, Liu Zhigang, Feng Haikuan, Yang Peiqi, Wang Qingshan, Ni Zhuoya, (2013). Sunlight-induced chlorophyll fluorescence extraction and analysis of winter wheat based on near-ground hyperspectral images. Spectroscopy and Spectral Analysis, 33(9), 2451-2454.
  • 34. Wang Ran, Liu Zhigang, Yang Peiqi, (2012). The principle and research progress of remote sensing of plant sunlight-induced chlorophyll fluorescence. Advances in Earth Science. 27(11).
  • 35. Patent - Liu Zhigang, Chen Ji, Yang Peiqi, Wang Qingshan, Zhang Weiwei, & Ni Zhuoya et al. (2014). A long-term cooperative observation system of active and passive chlorophyll fluorescence in leaves.

Contact

  • Email:p.yang@njnu.edu.cn