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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH3.O-16.4

FUEL BREAK VEGETATION MONITORING WITH SENTINEL-2 NDVI ROBUST TO PHENOLOGY AND ENVIRONMENTAL CONDITIONS

João E. Pereira-Pires, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal; Valentine Aubard, Forest Research Centre, School of Agriculture–University of Lisbon, Portugal; Rita A. Ribeiro, José M. Fonseca, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal; João M. N. Silva, Forest Research Centre, School of Agriculture–University of Lisbon, Portugal; André Mora, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal
Session:
Biodiversity and Phenology
Track:
Land Applications
Presentation Time:
Thu, 15 Jul, 13:10-13:25 (UTC)
Thu, 15 Jul, 15:10-15:25 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 21:10-21:25 China Standard Time (UTC +8)
Thu, 15 Jul, 09:10-09:25 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Jasper Van doninck, Michigan State University and Frieke Van Coillie, Ghent University
Session Manager:
Dainius Masiliunas
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Session TH3.O-16
TH3.O-16.1: EXPLAINING PATTERNS OF BIODIVERSITY ACROSS NEON SITES USING LANDSAT-BASED DISTURBANCE METRICS.
Jasper Van doninck, Michigan State University, United States; Annie Smith, Washington State Department of Natural Resources, United States; Jon Knott, Michigan State University, United States; Sydne Record, Bryn Mawr College, United States; Phoebe Zarnetske, Michigan State University, United States
TH3.O-16.2: Crop phenology retrieval through Gaussian Process Regression
Santiago Belda, University of Valencia, Spain; Luca Pipia, Institut Cartogràfic i Geològic de Catalunya (ICGC), Spain; Eatidal Amin, Matías Salinero, Pablo Reyes, Jochem Verrelst, University of Valencia, Spain
TH3.O-16.3: MAPPING ESSENTIAL VEGETATION VARIABLES OVER EUROPE USING GAUSSIAN PROCESS REGRESSION AND SENTINEL-3 DATA IN GOOGLE EARTH ENGINE
Pablo Reyes, University of Valencia, Spain; Luca Pipia, Institut Cartogràfic i Geològic de Catalunya (ICGC), Spain; Matías Salinero, Charlotte De Grave, Jose Estévez, Santiago Belda, Jochem Verrelst, University of Valencia, Spain
TH3.O-16.4: FUEL BREAK VEGETATION MONITORING WITH SENTINEL-2 NDVI ROBUST TO PHENOLOGY AND ENVIRONMENTAL CONDITIONS
João E. Pereira-Pires, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal; Valentine Aubard, Forest Research Centre, School of Agriculture–University of Lisbon, Portugal; Rita A. Ribeiro, José M. Fonseca, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal; João M. N. Silva, Forest Research Centre, School of Agriculture–University of Lisbon, Portugal; André Mora, Centre of Technology and Systems/UNINOVA, School of Science and Technology–NOVA University of Lisbon, Portugal
TH3.O-16.5: A NOVEL LAND USE CLASSIFIER WITH CONVOLUTIONAL RECURRENT STRUCTURE
Dong Xie, Arthur Depoian, Colleen Bailey, University of North Texas, United States
TH3.O-16.6: MAPPING FOREST THINNING, SYSTEMIC AND SELECTIVE LOGGING OPERATIONS USING VARIOUS IMAGING MODES OF X-BAND SAR IMAGES
Oleg Antropov, Anne Lönnqvist, Yrjö Rauste, VTT Technical Research Centre of Finland, Finland; Kimmo Kortelainen, Tornator Oyj, Finland; Tuomas Häme, VTT Technical Research Centre of Finland, Finland

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