THP.P20: Agricultural Classification and Mapping II
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 20
Session Type: Poster
Track: Land Applications

THP.P20.1: SYNERGISTIC USE OF SENTINEL-1 AND SENTINEL-2 IMAGES FOR IN-SEASON CROP TYPE CLASSIFICATION USING GOOGLE EARTH ENGINE AND MACHINE LEARNING
Sneha Sharma, Dongryeol Ryu, Sumesh K C, The University of Melbourne, Australia; Sun-Gu Lee, Seungtaek Jeong, Korea Aerospace Research Institute, South Korea

THP.P20.2: LONG IMAGE TIME SERIES FOR CROP EXTRACTION BASED ON THE AUTOMATICALLY GENERATED SAMPLES ALGORITHM
Nan Jia, Andrés Viña, Jianguo Liu, Michigan State University, United States; Yinshuai Li, Shanghai Jiao Tong University, China; Jie Cheng, East China Normal University, China; Yue Dou, Universiteit Twente, Netherlands; Qian Song, Chinese Academy of Agricultural Sciences, China; Liuyue He, Wuhan University, China

THP.P20.3: TIME SERIES-BASED ACTIVE LABELING FRAMEWORK FOR CURATING A MULTISPECTRAL SENTINEL-2 IMAGERY DATASET FOR CROP TYPE MAPPING
Vaneeza Mehmood, Ramesha Murtaza, Zuhair Zafar, Muhammad Moazam Fraz, National University of Sciences and Technology (NUST), Islamabad, Pakistan, Pakistan; Muhammad Shahzad, Technical University of Munich (TUM), Germany; Karsten Berns, Robotics Research Lab, Technical University of Kaiserslautern, Germany, Germany

THP.P20.4: WHEAT CROP MAPPING USING MULTISPECTRAL SENTINEL-2 SATELLITE IMAGERY AND MACHINE LEARNING CLASSIFIERS: A CASE STUDY FROM HARIDWAR DISTRICT, INDIA
Rashmi Saini, Shivam Rawat, G.B Pant Institute of Engineering and Technology, India

THP.P20.5: EXPLOITING SENTINEL1 DATA FOR CROP CLASSIFICATION USING MACHINE LEARNING AND GOOGLE EARTH ENGINE
Geeta Desai, Abhay Gaikwad, Babasaheb Naik College of Engineering ,Pusad, India., India

THP.P20.6: POTENTIAL OF UAV-BASED PATTERN CLASSIFICATION WITH CONVOLUTIONAL NEURAL NETWORK ON MODERATE/LOW QUALITY UAV DATA
Linara Arslanova, Sören Hese, Friederike Metz, Christiane Schmullius, Friedrich-Schiller University of Jena, Germany; Christian Thau, Jena City Administration, Germany; Friedemann Scheibler, Planet Labs Germany GmbH, Germany; Kai Heckel, Marcel Urban, ESN EnergieSystemeNord GmbH, Germany; Marcel Fölsch, 365FarmNet GmbH, Germany; Michael Schultz, University of Tuebingen, Germany

THP.P20.8: COMPARISON OF MULTI-TEXTURE FEATURES EXTRACTS FROM GF-1 IMAGES TO MAP AGRICULTURAL PLASTIC GREENHOUSE THROUGH AN OBJECT-BASED APPROACH
Yuan Gao, Yaozhong Pan, Shoujia Ren, Chuanwu Zhao, Beijing Normal University, China

THP.P20.9: Improving In-Season Crop Classification with Gridded Crop Progress and Condition Data
George Worrall, Deep Grain, United Kingdom

THP.P20.10: TWO DIMENSIONAL HISTOGRAM BASED ON RELATIVE ENTROPY THRESHOLDING FOR CROP SEGMENTATION USING UAV IMAGES
Gattu Priyanka, P Rajalakshmi, Indian Institute of Technology Hyderabad, India; Jana Kholova, International Crops Research Institute for Semi-Arid Tropics, Hyderabad, India

THP.P20.11: Rotation Adaptive Plot Extraction from UAV RGB Images
Jiaqi Guo, Changye Yang, Enyu Cai, Edward Delp, Purdue University, United States

THP.P20.12: CALIBRATION OF 3D MODELS OF MAIZE FIELDS USING UAV AND S2 IMAGES FOR SIMULATING THEIR VIS-NIR AND TIR OBSERVATION AND RADIATIVE BUDGET WITH DART
Paul Boitard, Benoit Coudert, Nicolas Lauret, Solen Queguiner, Claire Marais-Sicre, Jean-Philippe Gastellu-Etchegorry, CESBIO, France