Earth Science

EO-1

848 tracked publications and 32,401 citations from 2001–2026. Earth Observing-1. Launched 2000. Life-cycle cost: $404M in 2025 dollars. Active Mission Window December 1, 2000 to April 1, 2019: 654 publications, 30 top-10% credit.

Orbiter · h-index 83 · 66 papers with 100+ citations · prime mission ended 2001


Lifetime

Scope Papers published from the first full month after science operations begin through 2 years after the mission ends. Citations are counted through the third calendar year after each paper appears. Methods Papers published from the first full month after science operations begin through 2 years after the prime mission ends. Citations are counted through the third calendar year after each paper appears. Methods Every tracked publication to date, with every citation to date. Methods

Key measures

Active Mission Window · papers December 1, 2000 to April 1, 2019
Tracked publicationsTracked publications: peer-reviewed research papers we found for the mission. The list may not be complete. Methods654
CitationsCitations received by the tracked publications in the selected scope. The two windowed scopes count each paper’s citations only within its citation window. Methods5,159
Mean citations per publicationMean citations: total citations divided by tracked publications in the selected scope. One blockbuster paper can lift it. Methods7.9
Median citations per publicationMedian citations: the middle paper’s citation count in the selected scope; half the papers have more, half fewer. A single blockbuster sways it less than the mean. Methods5
Uncited publicationsUncited publications: papers with no citations in the selected scope. Methods71 (11%)
Top-10% creditTop 10%: among the 10% most-cited papers from this division’s missions, ranked against papers published around the same time. A paper naming several missions is split evenly among the missions in this division that claim it, so counts can be fractional. Methods30 · 0.79% of division
Top-1% creditTop 1%: among the 1% most-cited papers from this division’s missions within the selected window. Not adjusted for publication year. A paper naming several missions is split evenly among the missions in this division that claim it, so counts can be fractional. Methods2.5 · 0.65% of division
Lifetime indices · every tracked publication to date, in any scope
h-indexh-index: the largest h such that h papers have at least h citations each. It only grows with time, so older missions score higher. Methods83
g-indexg-index: the largest g for which the g most-cited papers together hold at least g² citations. Like the h-index, but it lets the most-cited papers count for more. Methods145
m-index, as of October 4, 2026m-index: a mission’s h-index divided by the years since its first peer-reviewed paper. It falls every 1 January even when nothing else changes, so it belongs to the date shown; it also discounts the long operating life that larger missions paid for. Methods3.2
toritori (total research impact, from ADS): for every paper citing one of the mission’s papers, 1 divided by the citing paper’s reference count times the cited paper’s author count, summed, with self-citations removed. It favors citations from papers with short reference lists and from outside the mission’s own authors. Computed over the tracked citation graph, which can be slightly incomplete. Methods287
riqriq (research impact quotient): 1,000 times the square root of tori, divided by the years since the mission’s first paper. A rate, not a total, so it does not keep growing with age the way the h-index and tori do. Methods651

Tracked publications

  1. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

    Chander, Gyanesh, 2009, RSEnv

    1,940 citations

  2. Investigation of the Random Forest Framework for Classification of Hyperspectral Data

    Ham, JiSoo, 2005, ITGRS

    798 citations

  3. Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

    Wu, Chaoyang, 2008, AgFM

    594 citations

  4. Comparison of Airborne Hyperspectral Data and EO-1 Hyperion for Mineral Mapping

    Kruse, Fred A., 2003, ITGRS

    517 citations

  5. Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study

    Gomez, Cécile, 2008, Geode

    397 citations

  6. Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass

    le Maire, Guerric, 2008, RSEnv

    369 citations

  7. Satellite Hyperspectral Remote Sensing for Estimating Estuarine and Coastal Water Quality

    Brando, Vittorio E., 2003, ITGRS

    360 citations

  8. Hyperion, a Space-Based Imaging Spectrometer

    Pearlman, Jay S., 2003, ITGRS

    355 citations

  9. Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

    Fassnacht, F. E., 2014, RSEnv

    333 citations

  10. Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors

    Guerschman, Juan Pablo, 2009, RSEnv

    325 citations

  11. Preprocessing Eo-1 Hyperion Hyperspectral Data to Support the Application of Agricultural Indexes

    Datt, Bisun, 2003, ITGRS

    315 citations

  12. Local Manifold Learning-Based k-Nearest-Neighbor for Hyperspectral Image Classification

    Ma, Li, 2010, ITGRS

    314 citations

  13. Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards

    Tralli, David M., 2005, JPRS

    299 citations

  14. Estimation of Forest Leaf Area Index Using Vegetation Indices Derived From Hyperion Hyperspectral Data

    Gong, Peng, 2003, ITGRS

    291 citations

  15. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications

    Thenkabail, Prasad S., 2004, RSEnv

    285 citations

  16. Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification

    Qin, Anyong, 2019, IGRSL

    281 citations

  17. A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI

    Li, Wenbo, 2013, RemS

    279 citations

  18. Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing

    Kutser, Tiit, 2004, LimOc

    271 citations

  19. Mapping lake CDOM by satellite remote sensing

    Kutser, Tiit, 2005, RSEnv

    247 citations

  20. A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

    Ghosh, Aniruddha, 2014, IJAEO

    244 citations

How we found these papers

We searched NASA’s Astrophysics Data System (ADS) for peer-reviewed articles naming EO-1 in the title, abstract or keywords; standard filters drop articles that are not peer-reviewed and magazine pieces. SciX is ADS’s current interface.

((=abs:"Earth Observing-1" OR =abs:"Earth Observing 1" OR =abs:"Earth Observing One" OR (abs:"EO-1" AND (abs:Hyperion OR =abs:"Advanced Land Imager" OR abs:Landsat OR abs:hyperspectral OR =abs:"remote sensing" OR abs:multispectral OR abs:"ETM+" OR abs:satellite OR =abs:"Earth observation" OR abs:AVIRIS)) OR (abs:Hyperion AND (abs:hyperspectral OR abs:Landsat OR =abs:"remote sensing")) OR =abs:"Advanced Land Imager" OR (abs:"ALI" AND (=abs:"Advanced Land Imager" OR abs:Landsat OR abs:Hyperion)))) AND property:refereed AND doctype:article AND pubdate:[2000-12 TO 2040-01] AND NOT bibstem:("A&R" OR "AIASJ" OR "AeAm" OR "AirSp" OR "AsNow" OR "AsUAI" OR "AvWST" OR "C&E" OR "C&T" OR "CAPJ" OR "E&S" OR "ENews" OR "IrAJ" OR "JCos" OR "JRASC" OR "LAstr" OR "MNSSA" OR "Met" OR "NewSc" OR "Orion" OR "PhT" OR "PhTea" OR "PhuZ" OR "PhyOJ" OR "PhyW" OR "PlR" OR "SciAm" OR "SpFl" OR "ZemVs")

Open in SciX

Removed after review (5)

  1. Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications About the Prithvi-EO machine-learning models; not the EO-1 satellite. Decision 🤖
  2. Integrated approach of using ASTER-derived emissivity and pixel temperature for delineating different granitoids ─ a case study in parts of Dharwar Craton, India Uses ASTER data from the Terra satellite, wrongly attributed to EO-1. Decision 🤖
  3. 2001ApJ...563..381Y Solar flux-rope study; does not mention EO-1 or its instruments. Decision 🤖
  4. 2009JGRD..11420105C AVHRR calibration study; does not mention EO-1 in its title, abstract or keywords. Decision 🤖
  5. EeteS—The EnMAP End-to-End Simulation Tool Simulation tool for Germany's EnMAP mission; cites EO-1 Hyperion only for comparison. Decision 🤖