Publications

A full list of publications can be found here

Articles submitted or in preparation : 

• Herrault, P. A. & Depp J. Mapping large and old trees in urban areas from ALS data (in preparation)

• Bressant, C., Herrault, P.-A & Puissant, A (2023) Assessing and understanding the potential of High Spatial Resolution Time series for monitoring urban tree phenology (submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)

• Herrault, P. A., Ullmann, A., Ertlen, D. (2023) Low mountain grasslands under the stress of Climate Change (submitted to JGR:Biogeosciences)

• Jautzy, T., Frey, P., Chardon, V., Wenger, R., Rixhon, G., Schmitt, L., & Herrault P.-A PickShift: A user-friendly Python tool to assess the surficial uncertainties associated with polygons extracted from old spatial data (accepted for publication in SoftwareX)

Peer-reviewed journal articles : 

• Derminon, S., Chiron, F., Muratet, A., & Herrault, P. A. (2024). Textural indices of aerial images reveal urban landscapes temporal dynamics and their effects on plants and birds. Ecological Indicators, 162, 112002.

• Keller, B., Herrault, P. A., Schwartz, D., Rixhon, G., & Ertlen, D. (2023). Spatio-temporal dynamics of forest ecosystems revealed by the LiDAR-based characterization of medieval field systems (Vosges Mountains, France). Anthropocene, 42, 100374.

• Herrault, P. A., & Sheeren, D. (2022). Remote Sensing for Historical Ecology. Historical Ecology: Learning from the Past to Understand the Present and Forecast the Future of Ecosystems, 71-83.

• Morin, E., Herrault, P. A., Guinard, Y., Grandjean, F., & Bech, N. (2022). The promising combination of a remote sensing approach and landscape connectivity modelling at a fine scale in urban planning. Ecological Indicators, 139, 108930.

• Chardon, V., Herrault, P. A., Staentzel, C., Skupinski, G., Finance, O., Wantzen, K. M., Schmitt, L. (2022). Using transition matrices to assess the spatio‐temporal land cover and ecotone changes in fluvial landscapes from historical planimetric data. Earth Surface Processes and Landforms.

• Herrault, P. A., Poterek, Q., Keller, B., Schwartz, D., Ertlen, D. (2021). Automated detection of former field systems from airborne laser scanning data: a new approach for Historical Ecology. International Journal of Applied Earth Observation and Geoinformation, 104, 102563.

• Poterek, Q., Herrault, P. A., Skupinski, G., Sheeren, D. (2020). Deep learning for automatic colorization of legacy grayscale aerial photographs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 2899-2915.

• Poterek, Q., Herrault, P. A., Forestier, G., Schwartz, D. (2020). Revealing Long-Term Physiological Trajectories of Grasslands from Legacy B&W Aerial Photographs. In XXIVth ISPRS congress, Commission III (Vol. 3, pp. 549-557). ISPRS.

• Jautzy, T., Herrault, P. A., Chardon, V., Schmitt, L., Rixhon, G. (2020). Measuring river planform changes from remotely sensed data–a Monte Carlo approach to assessing the impact of spatially variable error. Earth Surface Dynamics, 8(2), 471-484.

• Bonthoux, S., Lefèvre, S., Herrault, P. A., & Sheeren, D. (2018). Spatial and temporal dependency of NDVI satellite imagery in predicting bird diversity over France. Remote Sensing, 10(7), 1136.

• Cateau, E., Herrault, P. A., Sheeren, D., Ladet, S., Brustel, H. (2018). The influence of spatial and temporal discontinuities of forest habitats on the current presence of flightless saproxylic beetles. Plos one, 13(5), e0197847.

• Ferrant, S., Selles, A., Le Page, M., Herrault, P. A., Pelletier, C., Al-Bitar, A., ... & Kerr, Y. (2017). Detection of irrigated crops from Sentinel-1 and Sentinel-2 data to estimate seasonal groundwater use in South India. Remote Sensing, 9(11), 1119.

• Herrault, P. A., Larrieu, L., Cordier, S., Gimmi, U., Lachat, T., Ouin, A., Sheeren, D. (2016). Combined effects of area, connectivity, history and structural heterogeneity of woodlands on the species richness of hoverflies (Diptera: Syrphidae). Landscape ecology, 31(4), 877-893

• Herrault, P. A., Gandois, L., Gascoin, S., Tananaev, N., Le Dantec, T., & Teisserenc, R. (2016). Using high spatio-temporal optical remote sensing to monitor dissolved organic carbon in the Arctic river Yenisei. Remote Sensing, 8(10), 803.

• Herrault, P. A., Sheeren, D., Fauvel, M., & Paegelow, M. (2015). Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19e siècle. Revue internationale de géomatique, 25(1), 35-51.

• Herrault, P. A., Sheeren, D., Fauvel, M., & Paegelow, M. (2013). Automatic extraction of forests from historical maps based on unsupervised classification in the CIELab color space. In Geographic information science at the heart of Europe (pp. 95-112). Springer, Cham.

• Herrault, P. A., Sheeren, D., Fauvel, M., Monteil, C., & Paegelow, M. (2013). A comparative study of geometric transformation models for the historical" Map of France" registration. Geographia Technica, (1), pp-34. [PDF]