A curated list of resources focused on Machine Learning in Geospatial Data Science.

• Books
• Courses

• Digital Signal Processing and Spectral Analysis for Scientists (2016) by Alessio, S.M. | Springer

• Remote Sensing Image Fusion (2015) by Alparone, L., Aiazzi, B., Baronti, S., and Garzelli, A. | CRC

• Advances in Artificial Systems for Medicine and Education (2018) by Hu, Z., Petoukhov, S., and He, M. | Springer

• Image Classification, in The SAGE Handbook of Remote Sensing (2009) by Jensen, J.R., Im, J., Hardin, P., and Jensen, R.R. | SAGE Publications

• Principles of Applied Remote Sensing (2016) by Khorram, S., van der Wiele, C.F., Koch, F.H., Nelson, S.A.C., and Potts, M.D. | Springer

• Machine Learning Applications for Earth Observation, Earth Observation Open Science and Innovation (2018) by Lary, D.J., Zewdie, G.K., Liu, X., Wu, D., Levetin, E., Allee, R.J., Malakar, N., Walker, A., Mussa, H., Mannino, A., and Aurin, D. | Springer

• Image Processing and GIS for Remote Sensing: Techniques and Applications (2016) by Liu, J.G., and Mason, P.J. | Wiley

• Deep Learning with Applications Using Python (2018) by Manaswi, N.K. | Apress

• TensorFlow Machine Learning Cookbook (2017) by McClure, N. | Packt

• Mathematical Models for Remote Sensing Image Processing (2018) by Moser, G., and Zerubia, J. | Springer

• Pro Deep Learning with TensorFlow (2017) by Pattanayak, S. | Apress

• Hyperspectral Remote Sensing: Fundamentals and Practices (2017) by Pu, R. | CRC Press

• Data processing, in Physical Principles of Remote Sensing (2001) by Rees, W.G. | Cambridge University Press

• Remote Sensing Digital Image Analysis (2013) by Richards, J.A. | Springer

• Remotely Sensed Data Characterization, Classification, and Accuracies (2015) by Thenkabail, P.S. | CRC Press

• Remote Sensing Imagery (2014) by Tupin, F., Inglada, J., and Nicolas, J.-M. | Wiley

• Image Processing, in Introduction to Deep Learning Business Applications for Developers (2018)by Vieira, A., and Ribeiro, B. | Apress

• Classification Models (2018) by alteryx and tab|eau | Udacity

• Intro to Deep Learning (2018) by Google | Udacity

• Machine Learning Crash Course with TensorFlow APIs (2018) by Google

• Learn TensorFlow and deep learning, without a Ph.D (2017) by Görner, M.

• Intro to Machine Learning (2018) by kaggle | Udacity

• Deep Learning (2018) by kaggle

• Inspired by awesome-tensorflow