Past Distinguished Lecturers
The Distinguished Lecturer Program (DLP) is a service of the GRSS and its members to support our chapter activities. Our goal is to provide chapters with access to leading professionals in geoscience and remote sensing and discuss novel topics in current research. This is an opportunity for the GRSS membership to hear interesting talks about work being done in our fields of interest and to meet some of the prominent members of our Society.
Past Speakers


Alejandro Frery
Instituto de Computação, Universidade Federal de Alagoas, Maceió Brazil
Statistics and Information Theory in Remote Sensing with SAR


Christopher J. Ruf
The University of Michigan, Ann Arbor, USA
NASA Cyclone Global Navigation Satellite System (CYGNSS) Earth Venture Mission


David Long
Brigham Young University, Provo, UT, USA
Satellite Scatterometry: Winds, Vegetation, and Ice


Gustau Camps-Valls
Universitat de València, Spain
Machine Learning for Remote Sensing Data Analysis


Jun Li
Sun Yat-Sen University, China
Recent Advances in Spectral–Spatial Hyperspectral Image Classification


Lori Mann Bruce
Tennessee Technological University, USA
Hyperspectral Image Analysis with Applications of UAVs for Precision Agriculture


Mahta Moghaddam
University of Southern California, USA
Microwave Sensing Through the Subsurface for Addressing the Water Puzzle


Peter Baumann
Jacobs University, Germany
(1) Datacubes as a Novel Paradigm for Massive Earth Data Analysis: Concepts and Implementation; (2) Big Data Standards in OGC, ISO, and INSPIRE: Overview, Concepts, and Use


Toshio Iguchi
NASA Goddard Space Flight Center, USA
Radar Measurement of Precipitation from Space


Lisa Haskell
UK
Data Harmonisation and Interoperability in the Space Industry


Rohit Singh
India
GIS, Artificial Intelligence, fast.ai, PyTorch, TensorFlow, CycleGAN


Tao Guo
China
Development of application solutions hub in Earth Observation industry


Ilke Demir
USA
Deep learning, Computer vision, Automatic extraction, Generative models, Urban reconstruction


B.S. Daya Sagar
Indian Statistical Institute-Bangalore Centre
(1) Mathematical Morphology in Geoscience, Remote Sensing and Geospatial Data Science: An Overview; (2) Processing and Analysis of Digital Elevation Models (DEMs) via Binary and Grayscale Granulometries, Morphological Interpolations, and Morphological Distances


Carlos López Martínez
Universitat Politècnica de Catalunya, Barcelona, Spain
(1) Basics of SAR Polarimetry; (2) SAR Polarimetry: Theory and Applications; (3) SAR, SAR Polarimetry & Multitemporal SAR Statistical Description


Chris Rampersad
CANADA
Trade-offs between space hardware and ground processing, image formation and calibration


Keely Roth
USA
Vegetation, Agriculture, Data Fusion, Machine Learning


AMANDA O’CONNOR
L3HARRIS GEOSPATIAL, USA
(1) Vegetation analysis and remote sensing (2) Right data for the right applications (3) Hyperspectral applications and gotchas (4) Writing winning proposals (5) Alternative careers in remote sensing