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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Remote Sensing and LiDAR Applications
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,536 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,536 works in the cohort · of 4,299,418page 36 of 51

Labels cover 3 of 2,536 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,536 of 2,536 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Preface: ISPRS Geospatial Week 2023
Naser El‐Sheimy, Alaa Abdelbary, Nashwa El-Bendary, Yahya Mohasseb
2023· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
SPDC: A SUPER-POINT AND POINT COMBINING BASED DUAL-SCALE CONTRASTIVE LEARNING NETWORK FOR POINT CLOUD SEMANTIC SEGMENTATION
Shiming Zhang, Wenmin Huang, Yangbo Chen, Shiming Zhang, Shuai Zhang, Jonathan Li
2023· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A COMPARATIVE ANALYSIS OF PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING RANDOM FOREST MODEL
Haifa Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson
2022· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Video-monitoring of wood flux: recent advances and next steps
Hervé Piégay, Hossein Ghaffarian, Pierre Lemaire, Z Zhang, Maxime Boivin, A. E. Senter +10 more
2019· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Sectional mapping of local roads in Spain
Ángel Ibeas, Hernán Gonzalo‐Orden, Luigi dell’Olio, José Luis Moura
2008· article· en· Canadian Journal of Civil Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
An overview of twenty years of research at the Faculty of Forestry and Environmental Management, University of New Brunswick, Canada on fuel moisture estimation using optical, thermal infrared and radar remote sensing in boreal forests in Alberta, the Northwest Territories, and Alaska.
Brigitte Leblon, Guy Strickland, Steven Oldford, Keith N. Abbott, Laura Bourgeau‐Chavez, Joseph R. Buckley +3 more
2017· article· en· Digital Commons - Michigan Tech (Michigan Technological University)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
IMPLEMENTATION AND EVALUATION OF A MOBILE MAPPING SYSTEM BASED ON INTEGRATED RANGE AND INTENSITY IMAGES FOR TRAFFIC SIGNS LOCALIZATION
Mozhdeh Shahbazi, Mohammad Sattari, Saeid Homayouni, M. Saadatseresht
2012· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Télédétection aérospatiale et pendule de Foucault
René Verreault, Sonia Lamontagne
2007· article· fr· Constellation (Université du Québec à Chicoutimi)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueno abstractunlabeled
Turtle Mountain Deformation Monitoring 2008-2011
Daniel Lo, Axel Ebeling, William F. Teskey, Robert Radovanovic
2013· article· en· GEOMATICA· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About