The scholarly works, software, and technical resources cited across the course, grouped by topic. The complete alphabetical bibliography appears at the end.
Vegetation indices — foundational¶
Rouse et al., 1974 — original NDVI from the ERTS (Landsat) program.
Huete, 1988 — SAVI, the soil‑adjusted vegetation index.
Huete et al., 2002 — radiometric/biophysical performance of the MODIS VIs (EVI).
Qi et al., 1994 — MSAVI, a modified soil‑adjusted vegetation index.
Jiang et al., 2008 — EVI2, a two‑band EVI without the blue band.
Rocha & Shaver, 2009 — advantages of a two‑band EVI.
Gitelson, 2004 — WDRVI, the wide dynamic range vegetation index.
Red edge & chlorophyll¶
Delegido et al., 2013 — a red‑edge index for estimating green LAI.
Dash & Curran, 2004 — the MERIS Terrestrial Chlorophyll Index (MTCI).
Photochemical & pigment indices¶
Gamon et al., 2012 — PRI, tracking diurnal photosynthetic efficiency.
Gamon et al., 1995 — NDVI, canopy structure, and photosynthesis.
Water indices¶
Gao, 1996 — NDWI for vegetation liquid water.
McFeeters, 1996 — NDWI for delineating open‑water features.
Leaf & canopy optical properties¶
Ustin & Jacquemoud, 2020 — how leaf optical properties shape absorption/scattering.
Grondelle & Boeker, 2017 — physical limits on natural photosynthesis.
Thenkabail et al., 2018 — hyperspectral sensors, libraries, and data mining.
Spectral‑index review & software¶
Zeng et al., 2022 — review of optical vegetation indices for ecosystem monitoring.
Montero et al., 2023 — the Awesome Spectral Indices standardized catalogue.
Web technical resources¶
NASA Earth Observatory, n.d. — NASA Earth Observatory: measuring vegetation (NDVI & EVI).
U.S. Geological Survey, n.d. — USGS: the Landsat Enhanced Vegetation Index.
Dimensionality reduction & PCA¶
Abdi & Williams, 2010 — principal component analysis (overview).
Ringnér, 2008 — a concise “what is PCA?” primer.
Jia & Richards, 1999 — segmented principal‑components transform for hyperspectral data.
Mankovich et al., 2025 — systematic review of dimensionality reduction in remote sensing.
Spectral matching & noise transforms¶
Kruse et al., 1993 — SIPS and the Spectral Angle Mapper.
Mika et al., 1998 — kernel PCA and de‑noising in feature spaces.
Green et al., 1988 — the MNF (minimum noise fraction) transform.
Full bibliography¶
- Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring Vegetation Systems in the Great Plains with ERTS (Techreport NASA SP-351). NASA. https://ntrs.nasa.gov/citations/19740022614
- Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295–309.
- Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1–2), 195–213. 10.1016/S0034-4257(02)00096-2
- Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994). A modified soil adjusted vegetation index. Remote Sensing of Environment, 48(2), 119–126.
- Jiang, Z., Huete, A. R., Didan, K., & Miura, T. (2008). Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment, 112(10), 3833–3845.
- Rocha, A. V., & Shaver, G. R. (2009). Advantages of a two-band EVI calculated from solar and photosynthetically active radiation fluxes. Agricultural and Forest Meteorology, 149(9), 1560–1563.
- Gitelson, A. A. (2004). Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology, 161(2), 165–173.
- Delegido, J., Verrelst, J., Meza, C. M., Rivera, J. P., Alonso, L., & Moreno, J. (2013). A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems. International Journal of Applied Earth Observation and Geoinformation, 24, 42–52.
- Dash, J., & Curran, P. J. (2004). The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing, 25(23), 5403–5413. 10.1080/0143116042000274015
- Gamon, J. A., Peñuelas, J., & Field, C. B. (2012). A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. New Phytologist. 10.1111/j.1469-8137.2011.03791.x
- Gamon, J. A., Field, C. B., Goulden, M. L., Griffin, K. L., Hartley, A. E., Joel, G., Peñuelas, J., & Valentini, R. (1995). Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. Ecological Applications, 5(1), 28–41.
- Gao, B.-C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3), 257–266.
- McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. 10.1080/01431169608948714
- Ustin, S. L., & Jacquemoud, S. (2020). How the optical properties of leaves modify the absorption and scattering of energy and enhance leaf functionality. In S. Liang (Ed.), Remote Sensing of Plant Biodiversity (pp. 349–384). Springer. 10.1007/978-3-030-33157-3
- van Grondelle, R., & Boeker, E. (2017). Limits on Natural Photosynthesis. The Journal of Physical Chemistry B, 121(30), 7229–7234. 10.1021/acs.jpcb.7b03024