Conference Agenda

Overview and details of the sessions and sub-session of this conference. Please select a date or session to show only sub-sessions at that day or location. Please select a single sub-session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in CEST. The current conference time is: 16th June 2023, 05:11:41pm CEST

 
 
Session Overview
Session
P.1.2: Climate Change-Atmos-CAL/VAL
Time:
Wednesday, 19/Oct/2022:
10:40am - 12:30pm

Session Chair: Prof. Ronald van der A
Session Chair: Prof. Minzheng Duan
Session: Poster (Adjudicated/Networking)


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Presentations
10:40am - 10:50am
ID: 266 / P.1.2: 1
Poster Presentation
Calibration and Validation: 58817 - Exploiting Uavs For Validating Decametric EO Data From Sentinel-2 and Gaofen-6 (UAV4VAL)

Vegetation Index Sensitivity Test Based on PROSPECT+SAIL Model —– a Preliminary Test Under the UAV4VAL Project

Xuerui Guo

University of Southampton, United Kingdom

Plant canopy characteristics are important indicators of several ecological and vegetation process. Vegetation Indices (VIs) are the most common used in these biophysical parameters retrieval, in which the most commonly used are Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). However, due to the different design of the remote sensors, the calculation for the same VI might be different for two different sensors. Under the project of UAV for validating the satellite sensors products. We tested the VI sensitivity and robust in different sensors’ calculation. The results showed a high correlation (>0.9) betweent the same VI calculated from different sensors. The NDVI calculated from two sensors are ralitively the same, while the EVI calculated from Sentinel2 sensor are slightly lower than those from UAV sensor. Both the NDVI and EVI showed a larger variantion for high dense vegetation. In general, this study confirmed the robust VI relationships with biophysical parameters for sensors from different platform. The large variation for dense vegetaiton could be noticed in the further reaseach.

266-Guo-Xuerui-Poster_Cn_version.pdf
266-Guo-Xuerui-Poster_PDF.pdf


 
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