

IGARSS (the International Geoscience and Remote Sensing Symposium) is the flagship conference of the Geoscience and Remote Sensing Society...
> IGARSS 2027
> Past IGARSS
> Future IGARSS
> IGARSS 2030 – Call for Proposals
The IEEE GRSS David Landgrebe Award is a GRSS career award, which is awarded for outstanding contributions in the field of remote sensing image analysis. The contributions shall be related to at least one of the following fields: classification, image analysis, feature extraction, change detection, data fusion, data mining, etc.
The Special Awards Committee requires that, to be eligible:
The candidate must be a member of IEEE and GRSS member continuously for at least the past five consecutive years.
The candidate is pivotal and has performed significant contributions to the analysis of remote sensing images in recent years.
The candidate published their results in IEEE GRSS journals or conferences.
Eligibility and Selection process shall comply with procedures and regulation established in IEEE and Society/Council governing documents, particularly with IEEE Policy 4.4 on Awards Limitations.
Previous award winners are not eligible for substantially the same achievements (per IEEE Policies 4.4: An individual shall receive only one award for a given achievement, unless the significance merits a higher award, which may be given in the following year or thereafter.)
Plaque
Single Annual Award. The award shall be presented annually. Award will be given only if a suitable awardee is identified.
Nominations are solicited via email, newsletter, print media and social media. Other outlets may also be used (conferences, publications). Nominators must be an IEEE GRSS member at the time of the nomination. Self-nominations are not permitted. The nomination will require demonstration of significant technical and scientific contributions in remote sensing data analysis, publications in IEEE GRSS journals and conferences, and active contributions to the IEEE GRSS community. Nominations should be accompanied by a completed nomination template, a nomination letter, no more than 2-pages in length, from a GRSS member, the nominee’s curriculum vitae, and at least two letters of support from individuals familiar with the candidate’s technical contributions and achievements. In case of multiple nominations of the same individual, only the first submitted will be considered; withdrawal of a nomination can be requested either by the corresponding nominator or by the nominee, provided that this request is forwarded to the chair of the awards committee before the expiration of the nomination’s submission deadline.
The nomination package, including the following materials, must be submitted by an IEEE GRSS member via the Award Nomination Tool by December 15:
The nomination template can be obtained from the IEEE GRSS website or through the Award Nomination Tool; the template should be filled in all of its parts and not exceed 4 pages in length
a 1-page curriculum vitae of the submitting individual
Up to two letters of support
Criteria for the candidate selection are quality, significance and impact of the candidate activities; quantity of contributions; duration of significant activity; presence in the GRSS community. The award is presented only once to an individual.
15 December | Award Nomination deadline. |
Late December | Pre-screening and assignment of two reviewers for each nomination. |
Early February | Nomination reviews are completed. |
Mid-February | Final consideration and votes for tie-breaks of nominations from committee members. |
Early March | Award recipients are notified. |
July/August | Announced publicly at IGARSS. |
The award shall be presented at IEEE International Geoscience and Remote Sensing Symposium, IGARSS, or a GRSS co-sponsored specialty symposium in the field of analysis of remote sensing images such as Whispers, Multitemp or JURSE.
Jaya Sreevalsan Nair: Chair (Region 10)
Paolo Gamba (Region 8)
Jeffrey Walker (Region 10)
Yanfeng Gu (Region 10)
Xiaoxiang Zhu (Region 8)
Xiuping Jia (Region 10)
Contact: grss-award-spec@ieee.org