IN007
End-to-End Machine Learning for Earth Science: Tools, Frameworks, and Practical Applications I eLightning

Tuesday, 8 December 2020: 05:30-06:30
Virtual
Primary Convener:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
Conveners:  Iksha Gurung, University of Alabama in Huntsville, Huntsville, AL, United States and Zhuangfang Yi, Development Seed, Washington DC, DC, United States
Primary Liaison:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
Chairs:  Aaron S Kaulfus1, Iksha Gurung1 and Zhuangfang Yi2, (1)University of Alabama in Huntsville, Huntsville, AL, United States(2)Development Seed, Washington DC, DC, United States
OSPA Liaison:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
05:30
IN007-02
Development of an Automated Bolide Detection Pipeline for the GOES Geostationary Lightning Mapper (766545)
Jeffrey Claiborne Smith1, Robert Livingston Morris1, Randolph Longenbaugh2, Chris Henze3, Nina McCurdy3, Jessie Dotson4, Lionel Delmo3, Clemens Rumpf3 and Donovan Mathias5, (1)SETI Institute Mountain View, Mountain View, CA, United States, (2)Sandia National Laboratories, Albuquerque, United States, (3)NASA Ames Research Center, Moffett Field, United States, (4)NASA Ames Research Center, Astrophysics Branch, Moffett Field, CA, United States, (5)NASA Ames Research Center, Moffett Field, CA, United States
05:33
IN007-03
Understanding and Predicting Groundwater Contamination at Nuclear Waste Sites Using Artificial Intelligence and Machine Learning (718202)
Savannah Sturla1, Haruko M Wainwright1 and Aurelien Meray2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Florida International University, Applied Research Center, Miami, FL, United States
05:36
IN007-04
A novel sequential feature-extraction approach for hyperspectral image classification using a recurrent neural network (762506)
Andong Ma, Texas A&M University, Geography, College Station, TX, United States, Anthony M Filippi, Texas A & M Univ, College Station, TX, United States, Zhangyang Wang, University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, United States, Zhengcong Yin, Texas A&M University, Department of Geography, College Station, United States, Da Huo, Texas A&M University College Station, Geography, College Station, TX, United States, Xiao Li, Texas A&M Transportation Institute, Bryan, United States and Burak Guneralp, Texas A & M University, Geography, College Station, TX, United States
05:39
IN007-05
Machine learning applications for landscape management and conservation: Using digital elevation data to model locations of natural and cultural features (705757)
Leila Donn1, Timothy Beach1, Cody Schank1, Takeshi Inomata2 and Agustin Ortiz JR.3, (1)The University of Texas at Austin, Geography and the Environment, Austin, TX, United States, (2)The University of Arizona, School of Anthropology, Tucson, United States, (3)Underwater Archaeology Branch, Naval History and Heritage Command, District of Columbia, United States
05:42
IN007-06
Optimizing Spatial-Spectral-Temporal Neural Network Models for Large-Scale Landcover Classification Based on Landsat Data Archive (732442)
Shahriar Shah Heydari, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States and Giorgos Mountrakis, SUNY College of Environmental Science and Forestry, Department of Environmental Resources Engineering, Syracuse, NY, United States
05:45
IN007-07
Satellite-Derived Imagery and Transfer Learning: A Novel Technique for Land Cover Classification (752276)
Emily Foshee1, Muthukumaran Ramasubramanian1, John Robert Mecikalski1, Timothy Klein2 and Amanda Steck2, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)Arete Associates, Huntsville, AL, United States
05:48
IN007-08
A Spatio-Temporal Deep Learning-Based Crop Classification Model for Satellite Imagery (674684)
Karim Amer and Mohamed Elhelw, Nile University, Giza, Egypt
05:51
IN007-09
High resolution cropland mapping integrating deep semantic segmentation with Planet satellites (771620)
Xin Jiang1, JIe Wu1, Shijing Liang1, Zhenzhong Zeng2 and Jie Wu2, (1)Southern University of Science and Technology, Shenzhen, China, (2)Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China
05:54
IN007-10
Vision and LiDAR Data Fusion System for Tree Species Detection in an Urban Scale (775659)
Vaibhav Lodhi, Seoul National University, Seoul, Korea, Republic of (South), Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea and Yorum Hwang, Seoul National University, Interdisciplinary Program in Landscape Architecture, Seoul, South Korea
05:57
IN007-11
Mapping Mangroves in the Niger Delta using Machine Learning (761397)
Katherine Strattman1, Robert Griffin1, Emily Caitlin Adams2 and Emil A. Cherrington3, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Alabama in Huntsville, NASA-SERVIR, Huntsville, AL, United States, (3)University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States
06:00
IN007-12
Poverty Mapping in Developing Countries using High Resolution Satellite Imagery, OpenStreetMap and Household Survey Data (727100)
Bhanu Prasad Chintakindi, University of Tokyo, Civil Engineering, Bunkyo-ku, Japan and Akiyuki Kawasaki, University of Tokyo, Civil Engineering, Tokyo, Japan
06:03
Discussion
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