Open Textbooks
The Nature of Geographic Information
David DiBiase, Penn State
An open textbook on the fundamentals of geographic data and cartography.
- GIS
- Cartography
01 / 16Remote Sensing and GIS · Basudeb Bhatta
Library
Open textbooks, manuals and IKI quick-reference sheets for GIS, remote sensing and spatial data science, and the standard textbooks our mentors teach from and recommend.
6 resources
Open Textbooks
David DiBiase, Penn State
An open textbook on the fundamentals of geographic data and cartography.
Quick References
IKI Geospatial
One-page formula sheet for NDVI, EVI, SAVI, NDWI, MNDWI, NDBI, NBR and more, with Sentinel-2 and Landsat 8/9 band numbers.
Open Textbooks
QGIS Project
The official, comprehensive QGIS training manual — from basics to spatial databases.
Open Textbooks
Cardille, Crowley, Saah & Clinton (eds.)
Fundamentals and applications of Earth Engine — an open-access book.
Open Textbooks
Lovelace, Nowosad & Muenchow
Open-source book on geographic data analysis, visualisation and modelling in R.
Open Textbooks
Dorman, Graser, Nowosad & Lovelace
Spatial data analysis in Python with GeoPandas, Shapely and Rasterio.
Start with an introductory text in each area, then move to the specialist references as your work demands. Most are available in university libraries.

Basudeb Bhatta
Oxford University Press
A complete course text written for Indian universities: the physics of remote sensing, sensors and platforms, visual and digital image interpretation, then GIS data models, analysis and applications.

M. Anji Reddy
A popular first textbook covering remote sensing principles, image interpretation, GIS fundamentals and GPS, with an emphasis on natural-resource applications.

Thomas M. Lillesand, Ralph W. Kiefer, Jonathan W. Chipman
7th edition · Wiley
The classic reference on interpreting imagery: aerial photography and photogrammetry, multispectral, thermal, hyperspectral, radar and lidar sensing, and digital image analysis.

John R. Jensen
4th edition · Pearson
The standard text on processing satellite images: radiometric and geometric correction, enhancement, classification, change detection and accuracy assessment.

John R. Jensen
2nd edition · Pearson
How remote sensing is applied to vegetation, water, urban landscapes, soils, minerals and landforms — the companion to the image-processing volume.

Qihao Weng
CRC Press
Satellite sensors and image analysis applied to land-cover, urban and environmental studies, linking principles to real case studies.

C. C. Tseng, Y. H. Tsai
5th edition · CRC Press
The geometry of aerial and satellite images — stereo measurement, orientation, orthophotos and elevation models — alongside remote sensing fundamentals.

Teunissen, Montenbruck & Hauschild
Satellite positioning in depth: signals, orbits and error sources, and the differential and precise positioning methods used in surveying.

Ian Heywood, Sarah Cornelius, Steve Carver
4th edition · Pearson
A clear first course in GIS: spatial data and data models, data input and quality, analysis, output and managing a GIS project.

Paul Bolstad
5th edition
A thorough introduction: coordinate systems and map projections, data models, GNSS and digital data sources, raster and vector analysis, and terrain analysis.

Michael F. Goodchild, David J. Maguire, Michael Batty
5th edition · Wiley
Connects the principles of geographic information science with the techniques, management and real-world applications of GIS.

Keith Clarke, Rangana Ford, Timothy A. Smith
5th edition · Open textbook
A concise open textbook on GIS concepts: maps and spatial data, data models, analysis and cartographic design.

Esri
3rd edition · Esri Press
A project-based workbook that walks through a complete GIS project, from planning and data automation to analysis and final output.

Wilpen L. Gorr
Esri Press
Step-by-step exercises in ArcGIS Pro: making maps, building geodatabases, geoprocessing and spatial analysis, with data to practise on.

Edited by M. F. Goodchild, D. J. Maguire, D. W. Rhind
Springer
An edited volume on the concepts behind spatial data infrastructure — data sharing, standards and institutions — and the applications built on it.

Xun Li, Peter A. Rogerson
Wiley
Spatial statistics taught through worked examples: point pattern analysis, spatial autocorrelation and methods for area-based (lattice) data.
Tell us your course and level, and a mentor will suggest a reading order — free of charge.