17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

WE5.V6.6

ESTIMATING NDVI FROM SENTINEL-1 SAR DATA USING DEEP LEARNING

Thomas Roßberg, Michael Schmitt, University of the Bundeswehr Munich, Germany
Session:
Surface Biophysical Parameters Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 6
Presentation Time:
Wed, 20 Jul, 21:05 - 21:20 Malaysia Time (UTC +8)
Wed, 20 Jul, 15:05 - 15:20 Central European Time (UTC +2)
Wed, 20 Jul, 13:05 - 13:20 UTC
Wed, 20 Jul, 09:05 - 09:20 Eastern Time (UTC -4)
Session Co-Chairs:
Ainong Li, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Luca Sartore, National Institute of Statistical Science and National Agricultural Statistics Service
Session Manager:
Moon Khiang Chin
Presentation
Discussion
Resources
No resources available.
Session WE5.V6
WE5.V6.1: ESTIMATION OF MAIZE BIOMASS COMPONENTS FROM SENTINEL-1 SAR DATA USING MULTI-TARGET REGRESSORS
Chi Xu, Yanling Ding, Zewen Dai, Northeast Normal University, China
WE5.V6.2: TIME SERIES ESTIMATES OF LEAF AREA INDEX FROM MULTISOURCE DATA USING A DEEP LEARNING ALGORITHM
Tian Liu, Huaan Jin, Xinyao Xie, Ainong Li, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, China
WE5.V6.3: LEAF AREA INDEX ESTIMATION FROM HEMISPHERE IMAGE BASED ON GHOSTNET
Yuanlei Cheng, Yunping Chen, Shuaifeng Jiao, Haichang Wei, Wangyao Shen, Yan Chen, University of Electronic Science and Technology of China, China; Shilong Li, Hua Zhang, State Grid Sichuan Electric Power Research Institute, China
WE5.V6.4: DEVELOPING ENTROPIES OF PREDICTIVE CROPLAND DATA LAYERS FOR CROP SURVEY IMPUTATION
Luca Sartore, National Institute of Statistical Science and National Agricultural Statistics Service, United States; Claire Boryan, Patrick Willis, United States Department of Agriculture National Agricultural Statistics Service, United States
WE5.V6.5: SELECTING HYPERSPECTRAL BANDS FOR LEAF MASS PER AREA PREDICTION BY MEANS OF NEURAL NETWORKS
Catherine Baskiotis, Josselin Aval, Marwa El Bouz, Ayman Al Falou, ISEN - Yncréa Ouest, France
WE5.V6.6: ESTIMATING NDVI FROM SENTINEL-1 SAR DATA USING DEEP LEARNING
Thomas Roßberg, Michael Schmitt, University of the Bundeswehr Munich, Germany