International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-26: Precision Agriculture I
Fri, 16 Jul, 11:00 - 12:10 (UTC)
Fri, 16 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Fri, 16 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Co-Chairs: Leila Maria Garcia Fonseca, National Institute for Space Research (INPE) and Katarzyna DABROWSKA-ZIELINSKA, kierownik Centrum Teledetekcji IGiK
Session Manager: Stella Gachoki
Track: Land Applications

FR2.MM-26.1: VIRTUAL ENVIRONMENTS & PRECISION VITICULTURE: A CASE STUDY

João Lourenço, João Teixeira, Paulo Carvalho, Luís Pádua, Telmo Adão, Emanuel Peres, Joaquim J. Sousa, UTAD, Portugal

FR2.MM-26.2: THE ADDED VALUE OF CYCLEGAN FOR AGRICULTURE STUDIES

Ecre Sener, Istanbul Technical University, Turkey; Emre Colak, Chemnitz University of Technology, Germany; Esra Erten, Gülşen Taşkın, Istanbul Technical University, Turkey

FR2.MM-26.3: DETECTION OF AGRICULTURAL ACTIVITY IN CENTER PIVOT AREAS IN SOUTHEASTERN BRAZIL

Felipe Rafael de Sá Menezes Lucena, Aline Casassola, Thales Sehn Körting, Leila Maria Garcia Fonseca, Hermann Johann Heinrich Kux, National Institute for Space Research (INPE), Brazil

FR2.MM-26.4: WEED IDENTIFICATION USING K-MEANS CLUSTERING WITH COLOR SPACES FEATURES IN MULTI-SPECTRAL IMAGES TAKEN BY UAV

Rashi Agarwal, UIET, Chhatrapati Shahu Ji Maharaj University, India; Hariharan S Nair, University of Madras, India; Nagabhushana Rao, Vidya Jyothi Institute of Technology, India; Abhishek Agarwal, IIIT Bhubaneshwar, India

FR2.MM-26.5: USE OF HYPERSPECTRAL PRISMA LEVEL-1 DATA AND ISDA SOIL FERTILITY MAP FOR SOIL MACRONUTRIENT AVAILABILITY QUANTIFICATION IN A MOROCCAN AGRICULTURAL LAND

Khalil Misbah, Ahmed Laamrani, Mohammed VI Polytechnic University, Morocco; Abdelghani Chehbouni, Université de Toulouse, France; Driss Dhiba, Mohammed VI Polytechnic University, Morocco; Jamal Ezzahar, Université Cadi Ayyad, Morocco

FR2.MM-26.6: GRAPEVINE VARIETY IDENTIFICATION THROUGH GRAPEVINE LEAF IMAGES ACQUIRED IN NATURAL ENVIRONMENT

gabriel carneiro, Luís Pádua, Joaquim Sousa, Emanuel Peres, Raul Morais, António Cunha, University of Trás-os-Montes e Alto Douro, Portugal

FR2.MM-26.7: INVESTIGATING THE PERFORMANCE OF HYPERSPECTRAL AND SIMULATED SENTINEL-2 DATA FOR SOYBEAN CANOPY NITROGEN ESTIMATION

Jayantrao Mohite, Suryakant Sawant, Ankur Pandit, Ajay Mittal, Srinivasu Pappula, Tata Consultancy Services, India

FR2.MM-26.8: Assessment of water-demand index using the SMAP-Sentinel High-Resolution Soil Moisture Product

Gurjeet Singh, Jet Propulsion Laboratory, United States; Narendra Das, Michigan State University, United States