Bibliography: Future Directions in Remote Sensing

Curated starting points on emerging trends, methods, and responsible practice. Use these to dive deeper or populate your own Zotero folder. Add more as you discover relevant work.

How to use this list

  • Skim one item per category to spot where you want to go deeper.
  • Bookmark datasets or methods that align with your project ideas.
  • Follow author names and venues to find related work.

Foundations and outlook

  • Woodcock, C. E. et al. (2020). Monitoring global land change: Progress and challenges. Frontiers in Remote Sensing.
  • Gorelick, N. et al. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment.
  • Roy, D. P. et al. (2021). Harmonized Landsat and Sentinel-2: A user perspective. Remote Sensing of Environment.

AI and machine learning

  • Reichstein, M. et al. (2019). Deep learning and process understanding in Earth system science. Nature.
  • Zhu, X. X. et al. (2017). Deep learning in remote sensing: A review. IEEE GRSM.
  • Jiang, S. et al. (2022). Self-supervised learning for remote sensing imagery: Current progress and future trends. ISPRS J. Photogramm.

Sensors and fusion

  • Bamler, R. & Hartl, P. (1998). Synthetic aperture radar interferometry. Inverse Problems.
  • Ho Tong Minh, D. et al. (2020). Multi-sensor fusion for land cover: Optical and SAR synergy. Remote Sensing.
  • Dubayah, R. et al. (2020). The Global Ecosystem Dynamics Investigation (GEDI) lidar. Science of Remote Sensing.

Applications

  • Urban heat: Chakraborty, T. & Lee, X. (2019). A simplified urban-extent algorithm for surface urban heat islands. Remote Sensing of Environment.
  • Forests: Hansen, M. C. et al. (2013). High-resolution global maps of 21st-century forest cover change. Science.
  • Disasters: Voigt, S. et al. (2016). Satellite emergency mapping: Copernicus EMS lessons learned. Remote Sensing.

Responsible and open practice

  • Benjamin, R. (2019). Race After Technology. (On bias and tech systems.)
  • IEEE P7000 series. (Ethical considerations in system design.)
  • OGC/OSGeo community guidelines for open geospatial tools and data stewardship.

Quick self-check

  1. Which category aligns most with your project idea?
  2. Can you name one author to follow for updates in that area?
  3. What dataset or method from the list could you try in the next month?

Contribute

Add citations in plain text (Author, Year, Title, Venue). Keep categories tidy so others can navigate quickly.