Books

Remote Sensing

Introduction to Remote Sensing, 6th Edition — Campbell, Wynne & Thomas. A widely used undergraduate text covering land/water use analysis, natural resource management, UAVs, and climate change applications.
Introduction to the Physics and Techniques of Remote Sensing, 3rd Edition — Elachi & van Zyl. Covers wave/matter interactions, imaging spectroscopy, radar interferometry, and planetary remote sensing.
Remote Sensing and Image Interpretation, 7th Edition — Lillesand, Kiefer & Chipman. A classic introductory and reference text, now expanded with lidar, UAS, and 3D remote sensing coverage.
Remote Sensing Physics: An Introduction to Observing Earth from Space — A graduate-level text examining the physical principles behind passive and active sensing, including radars and lidars.

Getting to Know Web GIS, 5th Edition — Pinde Fu. Covers ArcGIS Online, StoryMaps, mobile apps, deep learning, and spatial data science in the cloud.
GIS, Remote Sensing & Cartography Catalog — Browse Routledge and CRC Press’s full catalog of GIS and geospatial titles.
GIS Tutorial for ArcGIS Pro 3.1 — Gorr & Kurland. A hands-on classroom and self-study workbook for learning ArcGIS Pro with real-world datasets.
The Esri Guide to GIS Analysis, Vol. 1: Geographic Patterns and Relationships, 2nd Ed. — Andy Mitchell. Foundational spatial analysis concepts for all GIS users.
The Esri Guide to GIS Analysis, Vol. 2: Spatial Measurements and Statistics, 2nd Ed. — Mitchell & Griffin. Covers cluster analysis, spatial statistics, and quantitative pattern identification.

Cartography. The Definitive Guide to Making Maps — Kenneth Field. A lavishly illustrated compendium of 250+ cartographic topics, from topographic mapping to fantasy maps and digital environments.
Thematic Mapping: 101 Inspiring Ways to Visualise Empirical Data — Kenneth Field. Uses 101 different maps of the same dataset to explore how design choices shape the stories maps tell.
Making Maps: A Visual Guide to Map Design for GIS, 4th Edition — Krygier & Wood. Updated with AI, feminist and Indigenous perspectives, choropleth maps, and visual storytelling; features a unique graphic novella format.

GeoAI: Artificial Intelligence in GIS — Real-world case studies showing how organizations use AI-enhanced GIS for automation, prediction, and optimization.
Handbook of Geospatial Artificial Intelligence — Gao, Hu & Li. The first single-volume reference on GeoAI, covering machine/deep learning, knowledge graphs, environmental observation, disaster response, and more.
GeoAI and Human Geography: The Dawn of a New Spatial Intelligence Era — Wilson & Huang (eds.). 28 chapters covering explainable spatial analysis, NLP, computer vision, urban planning, disaster management, and GeoAI ethics.
Advanced Geospatial Intelligence and AI for Environmental Resilience and Sustainable Development — Sarif & Sharifi (eds.). Combines ML/deep learning with geospatial analysis for environmental monitoring and sustainability.