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Innovative uses of multisource remote sensing data in forest biodiversity conservation and restoration

Tracks
Breakout 2
Tuesday, September 10, 2024
3:30 PM - 5:00 PM
WSP Room

Speaker

Dr Francesca Giannetti
Researcher
University of Florence

Multitemporal Multispectral UAV, Ecophysiology, and Genetic Data for monitoring Forest Dieback in Remote-Abyssal Beech Population

3:30 PM - 3:45 PM

Abstract

Biography

Researcher at University of Florence at the GeoLab Laboratory of Forest Geomatics in the field of Remote Sensing applied to Forest Monitoring and Precision Forestey. She has a PhD in Forestry and MSc in Forest Science and One in Remote Sensing and GIS System. In the last year She worked on integrete field data with multi-surce RS data to monitor different aspect related with forest biodiversity.
Prof Guang Zheng
Professor
Nanjing University

Mapping canopy heights by fusing optical, radar, and GEDI data in the Kruger National Park, South Africa

3:45 PM - 4:00 PM

Abstract

Biography

Dr. Guang Zheng is a Professor of Remote Sensing at the International Institute for Earth System Science (ESSI) of Nanjing University (NJU). He got his Ph.D. from the Remote Sensing and Geospatial Analysis Laboratory (RSGAL)at the University of Washington (UW). He worked closely with Precision Forestry Cooperative (PFC)to understand the forest canopy structure and its implications and interactions with the radiation regime and physiological processes of the terrestrial ecosystem.
Miss Mei-Kuei Lu
PhD Student
Texas A&M University

Mapping Aboveground Biomass in Oregon and California with ICESat-2 and Ancillary Data

4:00 PM - 4:15 PM

Abstract

Biography

Her academic interests focus on remote sensing which combines technology and ecological sciences to support scientific predictions and conservation to better understand and manage our natural environment. Her recent work focuses on using machine learning methods and cloud computing platforms to predict biomass for large scale analysis and coding to automate the geospatial analysis process. She also utilize spaceborne lidar, radar and data fusion for modeling vegetation parameters, such as biomass.
Mr Thomas Harris
Phd Candidate
The Forest School, Yale School Of The Environment

Analyzing the importance of field and remotely sensed height measurements in aboveground biomass estimates from the Atlantic Forest of Brazil

4:15 PM - 4:30 PM

Abstract

Biography

Thomas Harris is a fourth year PhD candidate at the Forest School in the Yale School of the Environment. He is interested in balancing the protection of natural forests with the production from industrial timberland. Thomas grew up in North Carolina and earned a BS in Forest Management at N.C. State and MS in Forest Resources at the University of Georgia where he focused on southern pine biometrics and modeling. At Yale, he worked on a collaborative team to investigate the carbon removal and storage potential of loblolly pine afforestation in the southeast US, included in the Roads to Removal Report. His dissertation research is focused in Brazil working in the landscape mosaic of eucalyptus, native forest, and agricultural land in southern Bahia.
Dr Nicolò Camarretta
Remote Sensing Scientist
Scion Research Institute

Differentiating eucalypt tree species and provenances using UAV hyperspectral imagery and machine learning

4:30 PM - 4:45 PM

Abstract

Biography

During his career, Nicolò has mainly focused on the use of remote sensing to map and monitor forest ecosystems. He favored the use of LiDAR sensors, both airborne (airplane and UAV) and terrestrial, to study forest structural complexity, to effectively monitor ecological restoration plantings (at the individual tree-level in Tasmania’s temperate forest) and in disturbed tropical ecosystems (at the plot level in the tropical lowlands of Sumatra, Indonesia). Nicolò has also worked with imaging spectroscopy (hyperspectral) sensors (mounted on satellite, airplanes, and UAVs), to successfully segregate between species and between genetic provenances of the same species (individual tree and provenance phenotyping). His current research is focusing on (i) the monitoring of forest health status and disease expression though satellite imagery, and (ii) on the use of regional level airborne laser scanning (ALS) to map, quantify and monitor the growth of the exotic forest estate of New Zealand.
Mr Saif Khan
Data Scientist
University of Canterbury

Leveraging Aerial RGB Imagery and Machine Learning for Monitoring Vegetation Encroachment in Dynamic Braided River Ecosystems of New Zealand

4:45 PM - 5:00 PM

Abstract

Biography

Saif is a spatial ecologist and passionate about biodiversity conservation. Saif’s doctoral studies (Zoology Department, Otago University, NZ) focused on assessing the applicability of different remote sensing tools to assess braided river bird habitats. He developed a deep-learning model for automated detection and counting of braided river bird colonies on aerial images. He has a BSc and MSc in Forestry (Khulna University, Bangladesh; Copenhagen University, Denmark and Bangor University, UK) and Biology (Ecology; Lakehead University, Canada). He has worked with IUCN, UNDP and FAO in Bangladesh and has been a research fellow at UNEP-WCMC at Cambridge, UK and has also been a civil servant for the Bangladesh Government working for the Ministry of Science and ICT. At GRI, Saif is working as a Postdoctoral Fellow with the Eco-index programme (https://eco-index.nz/), focusing on developing detectors for various biodiversity indicators for tracking outcomes of conservation investments.
Dr Francesca Giannetti
Researcher
University of Florence

Chairperson

Biography

María Menéndez-Miguélez

Chairperson

Biography

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