Resources

Here are some resources I’ve compiled for students or others looking to learn more about remote sensing, machine learning, etc.

Introduction to Earth Observation

Introduction to Machine Learning/Deep Learning

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(Mostly Non-Technical) Book Recommendations I read a lot of books from a wide variety of genres and find huge value in reading books that are not related to my research/expertise. Here are my favorite books from each year, in hopes that they bring you value and joy as well:

2023

• Demon Copperhead by Barbara Kingsolver
• An Immense World: How Animal Senses Reveal the Hidden Realms Around Us by Ed Yong
• Atomic Habits by James Clear
• The Comfort Crisis by Michael Easter
• House of Sticks by Ly Tran
• Maame by Jessica George
• Cloud Cuckoo Land by Anthony Doerr

2022

• In Defense of Food: An Eater’s Manifesto by Michael Pollan
• Crying in H Mart by Michelle Zauner
• Sapiens: A Brief History of Humankind by Yuval Noah Harari
• The Undocumented Americans by Karla Cornejo Villavicencio
• Braiding Sweetgrass by Robin Wall Kimmerer
• Piranesi by Susanna Clarke
• Caste: The Origins of Our Discontents by Isabel Wilkerson

2021

• Homegoing by Yaa Gyasi
• Abyssinian Chronicles by Moses Isegawa
• Hood Feminism by Mikki Kendall
• Deep Work by Cal Newport
• Educated by Tara Westover
• A Promised Land by Barack Obama
• A Woman is No Man by Nadia Murad

2020

• The Last Girl by Nadia Murad
• The Nickel Boys by Colson Whitehead
• When They Call You a Terrorist by Patrisse Khan-Cullors and Asha Bandele
• Exhalation by Ted Chiang
• The Autobiography of My Mother by Jamaica Kincaid
• Know My Name by Chanel Miller
• The Water Dancer by Ta-Nehisi Coates

2019

• The Deepest Well by Nadine Burke-Harris
• The Fire Next Time by James Baldwin
• Call Me By Your Name by Andre Acimon
• Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez
• The Kindness of the Hangman by Henry Oster
• So You Want to Talk About Race by Ijeoma Oluo
• Utopia for Realists by Rutger Bregman