PICOs

HS6.7 | PICO
Remote sensing of interactions between vegetation and hydrology 

Remote sensing techniques are widely used to estimate and monitor the relationship between vegetation dynamics and the water cycle. Measurements of vegetation water content, transpiration and water stress contribute to a better global understanding of the water movement in the soil-plant system, which is critical for the detection and monitoring of droughts and their impact on biomass. With the number of applications and (planned) missions increasing, this session aims to bring researchers together to discuss the current state in the remote observation of the interactions between vegetation and hydrology. We aim to (1) discuss novel research and findings, (2) exchange views on what should be done to push the field forward, and (3) identify current major challenges.

We encourage authors to submit presentations on:
• Modelling studies,
• Remote sensing data analyses,
• New hypothesis,
• Enlightening opinions.

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Co-organized as BG1.36
Convener: Mariette Vreugdenhil | Co-conveners: Joris Timmermans, Tim van Emmerik, Julia K. Green, Leon T. Hauser, Philip Marzahn, Brianna Pagán, Arturo Sanchez-Azofeifa
Programme
| Mon, 08 Apr, 08:30–12:30
 
PICO spot 5b

Monday, 08 April 2019

PICO spot 5b
Remote sensing of the water, carbon and energy cycle and interactions between them
08:30–08:40 |
PICO5b.1 |
EGU2019-9884
| presentation
Characteristic soil moisture range transitioning between energy and water limitation of the biosphere
Jasper Denissen, Rene Orth, Markus Reichstein, and Ryan Teuling
08:40–08:42 |
PICO5b.2 |
EGU2019-13503
Global two-way interactions between climate and vegetation over multiple time scales
Jeroen Claessen, Brecht Martens, Matteo Detto, Annalisa Molini, and Diego Miralles
08:42–08:44 |
PICO5b.3 |
EGU2019-7926
| presentation
Coupling the water and carbon cycles using transpiration and primary production data for improved global land-surface modelling
Alison Prior and Iain-Colin Prentice
08:44–08:46 |
PICO5b.4 |
EGU2019-18039
| presentation
Evaluation of the gross primary production derived from MODIS for a Seasonally Dry Tropical Forest in Brazil
Ygor Morais, Josicleda Galvincio, and Magna Moura
08:46–08:48 |
PICO5b.5 |
EGU2019-3491
Greening dynamics of vegetation in the high latitudes: case study of the George river basin (Nunavik, Canada) from 1985-2015 Landsat data
Johann Housset, Jean-Pierre Dedieu, Esther Lévesque, Arthur Bayle, and José Gérin-Lajoie
08:48–08:50 |
PICO5b.6 |
EGU2019-5138
Mapping and understanding functional diversity through satellite remote sensing
Leon T. Hauser, Joris Timmermans, Nadejda A. Soudzilovskaia, and Peter M. van Bodegom
Remote sensing of wetlands, peatlands and rivers
08:50–08:52 |
PICO5b.7 |
EGU2019-9477
Integrating structural and spectral remote sensing data to understand ecohydrological condition at multiple spatial scales across upland landscapes.
David Luscombe, Donna Carless, Naomi Gatis, Karen Anderson, and Richard Brazier
08:52–08:54 |
PICO5b.8 |
EGU2019-1796
| presentation
Remote Sensing Based Ecotope Mapping and Transfer of Knowledge in Raised Bogs
Saheba Bhatnagar, Bidisha Ghosh, Shane Regan, Owen Naughton, Paul Johnston, and Laurence Gill
08:54–08:56 |
PICO5b.9 |
EGU2019-6263
Wetland restoration: Implication from the response of vegetation to fluctuation of water level
Qiang Liu, Jingling Liu, and Haifei Liu
08:56–08:58 |
PICO5b.10 |
EGU2019-16269
Remote Sensing based hydromorphological monitoring of river restoration using UAV
Felix Dacheneder
08:58–09:00 |
PICO5b.11 |
EGU2019-488
An approach for underground vulnerability in Bahira plain using remote sensing and GIS
Zineb Layadi, Abdennabi El mandour, Vincent Simmoneaux, and Salah Erraki
09:00–09:02 |
PICO5b.12 |
EGU2019-2260
Remote sensing of invasive plant species in an aquatic ecosystem using the Sentinel-2 image time series: Eichhornia crassipes case on the Al Kabir River – Lebanon
Youssra Ghoussein, Hervé Nicolas, Ali Fadel, Pascal Pichelin, Hussein Abou hamdan, Jacques Haury, and Ghaleb Faour
09:02–10:15
Interactive presentations at PICO screens
Coffee break
Downscaling, merging and assimilation of remote sensing data
10:45–10:55 |
PICO5b.1 |
EGU2019-12769
New horizons in Earth observation: overcoming spatiotemporal divides with CubeSats
Matthew McCabe
10:55–10:57 |
PICO5b.2 |
EGU2019-8732
MULTIPLY: A Operational Data assimilation framework for consistent land monitoring using of multiple satellite datasets
Joris Timmermans, Peter Van Bodegom, Leon Hauser, Amie Corbin, Ester Philips, Philip Marzahn, Thomas Weiss, Thomas Ramsauer, Philip Lewis, Jose Gomez-Dans, Feng Yin, Tonio Fincke, Carsten Brockmann, Grit Kirches, Jon Styles, Nicola Pounder, Gerado Saldana, Lea Hallik, Daniel Kindridge, and Philippe Peylin
10:57–10:59 |
PICO5b.3 |
EGU2019-15491
Downscaling multi-band satellite images without co-located high-resolution data: a new approach based on training images
Fabio Oriani, Matthew McCabe, and Gregoire Mariethoz
10:59–11:01 |
PICO5b.4 |
EGU2019-11226
Monitoring the land surface with multiple sensors: application to Sentinel data
(withdrawn)
Jose Gomez-Dans, Feng Yin, Philip Lewis, Thomas Weiss, Thomas Ramsauer, and Philip Marzahn
Crop monitoring with remote sensing
11:01–11:03 |
PICO5b.5 |
EGU2019-6154
Assessing the influence of seasonal and minute-scale crop dielectric changes on Differential Interferometric SAR observables at L-, C- and X-bands
Manuele Pichierri, Virginia Brancato, Bernhard Rabus, and Irena Hajnsek
11:03–11:05 |
PICO5b.6 |
EGU2019-3061
Assessing the accuracy of crop mapping using satellite imagery for detecting the actual irrigated crop area
Vanessa Paredes-Gómez, Vicente Del Blanco, Alberto Gutiérrez, and David A. Nafría
11:05–11:07 |
PICO5b.7 |
EGU2019-6038
Characterizing vegetation water content dynamics in a well-watered corn canopy in Florida through intensive destructive sampling
Paul Vermunt, Saeed Khabbazan, Karin Bremer, Susan Steele-Dunne, and Jasmeet Judge
11:07–11:09 |
PICO5b.8 |
EGU2019-18880
Retrieval of soil water capacity at intra-plot scale using a data driven approach by combining unsupervised classification, crop modeling and Sentinel-2 remote sensing
Taeken Wijmer, Ahmad Al Bitar, Vincent Rivalland, Ronan Trepos, and Samuel Buis
11:09–11:11 |
PICO5b.9 |
EGU2019-16602
Field spectral sampling of grapevine under different cultivation methods
Imre Potyó, Györgyi Gelybó, Szandra Baklanov, Márton Dencső, Eszter Tóth, and Ágota Horel
High-resolution monitoring of vegetation
11:11–11:13 |
PICO5b.10 |
EGU2019-5928
Utilization of UAV-Lidar to infer surface roughness and leaf area index of a heterogeneous wooded area
Aikaterini Trepekli, Andreas Westergaard-Nielsen, and Thomas Friborg
11:13–11:15 |
PICO5b.11 |
EGU2019-7259
Pixel-level spatiotemporal analyses of vegetation fractional coverage variation and its influential factors in desert steppe: A case study in Inner Mongolia, China
Yifan Song, Yajing Lu, Zilong Liao, Yingjie Cui, and Huiwen Liu
11:15–11:17 |
PICO5b.12 |
EGU2019-12784
Using normalized difference vegetation index to estimate leaf area index of forests doesn’t work for sites where understory vegetation grow vigorously
Chung-Chun Chang, Guo-Zhang M Song, Yen -Chen Chao, Kai-Chi Hsu, Cang-Wei Chen, Hsin-Tien Lee, and Hung-Yen Hu
11:17–11:19 |
PICO5b.13 |
EGU2019-11269
The Sensor Independent Atmospheric Correction (SIAC) approach applied to Sentinel-2 and Landsat-8 data
Feng Yin, Jose Gomez-Dans, Philip Lewis, and Gerardo Lopez-Saldana
11:19–12:30
Interactive presentations at PICO screens