Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:02.403494Z
Paper Citation Record · LEDGER
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management
As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.20388.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
63 of 63 outbound references displayed
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- verified fuzzy22
- unresolved39
- parse uncertain1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 90c28094-60fc-4e46-9561-c51b6ad89cc1 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ef265490-62f4-44dc-80ed-d515bda4e2e4 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 77df3c7d-f381-47f5-a5a3-b718931664e1 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e6ea42c5-d98e-4005-b136-74bed1d2af04 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5881add4-e664-4190-a393-9c27ede4eb58 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 792cb95b-1838-4672-97a9-a625556816be · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eca8f43b-62de-42b7-87d1-50be26c08381 · outbound
This paper cites China Certified Emission Reduction (CCER).
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management China Certified Emission Reduction (CCER)
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 740d092d-f378-4370-af5f-2eb71223ede2 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 807ebc4a-2fb1-4c5e-aa17-4655c4bf2f59 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 95752bf3-9639-4c5e-8d24-959be921addc · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 96d71e65-8190-4741-937f-735129f964d4 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 19e9279e-908d-404d-a4de-45462ef943a5 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 52ae8e84-8b66-4c0e-961b-04111602ff61 · outbound
This paper cites Im, and R.
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 18fe9ead-523c-47fc-96f8-9e73d32132d3 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ce4d2341-7d8b-4d70-a385-8b9c8edaf2a1 · outbound
This paper cites Rao, and S.C.J.N.P.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Rao, and S.C.J.N.P
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 31902d1e-ede0-4c96-aee3-31e5105755c2 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 59c445c0-cacc-4ac5-bcb3-1e1acd3e1893 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1ded48c2-be80-486f-be66-9b013c5d37c4 · outbound
This paper cites Global change biology, 2017.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Global change biology, 2017
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a7f933be-2f85-4e36-b990-634262c881a0 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1c12c34b-af7c-41af-b637-623a29206612 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7e761c5e-bf4d-4def-b3c2-56bd312a98b5 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8a24e37e-7e45-4c8c-b245-00860be51bb4 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b8793d7b-3ca6-4cf7-8c99-250ec034013c · outbound
This paper cites Hu, and C.J.I.J.o.R.S.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Hu, and C.J.I.J.o.R.S
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1249de67-850b-442e-b59a-e65219bc755c · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4b9fe7fb-c219-40c0-bc5a-e635684c5400 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7e4c18fa-6ced-4027-ad5b-7f8f2ad85e57 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ea09dd26-77f5-4ec3-9df7-faacf876613d · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0bd7fbc3-fd20-4e35-8ee3-bb3b19eb18e7 · outbound
This paper cites Environmental Research Letters, 2022.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Environmental Research Letters, 2022
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:03.064998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 87824b50-e08e-4b54-a465-980b82886b0e · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9b2ae96f-b93b-4c71-87bc-580d344088e7 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b4d5df55-a6a1-4d2a-8fd0-26ca6c3a688b · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4c63cb99-5054-473c-a4de-3705e25e301e · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ff228974-3f8f-4b4e-a5a7-e2ca0c739087 · outbound
This paper cites Learning transferable visual models from natural language supervision.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Learning transferable visual models from natural language supervision
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.972891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b17af834-6da3-488b-81da-efff86b9696b · outbound
This paper cites Bochkovskiy, and V.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Bochkovskiy, and V
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.953092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 10a81607-b0d8-45d3-a0a7-786040e04cc2 · outbound
This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Monovit: Self-supervised monocular depth estimation with a vision transformer
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e7ac35a9-d659-4875-b085-56675d041253 · outbound
This paper cites and C.J.a.p.a.
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 93478c32-54d7-42cd-a2fb-06f0c1bc33fa · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 65cd19d3-46ad-486e-9b3e-202550a5c75b · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.872399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ee9e5aa6-22e6-4ca5-8613-b31eceb8ce0a · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.854045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4915f585-b7c5-48d1-a717-b4b1b4c1c9ef · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.835409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d664b46a-7830-43af-9285-0bee7194a33d · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.818084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4b160376-2ffe-42a7-a202-0a3f891f5a40 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.800797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 71ecabdf-c343-4030-a4ec-5db2c6b8a24f · outbound
This paper cites Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 417adeb8-592f-4c7a-8ef7-bb418a038e73 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.782152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8f71f12-f730-47f4-b807-1af62e94912f · outbound
This paper cites Masked autoencoders are scalable vision learners.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Masked autoencoders are scalable vision learners
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.761857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9dce0581-49fe-45e0-84ca-de240d8d0d23 · outbound
This paper cites Carafe: Content -aware reassembly of features.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Carafe: Content -aware reassembly of features
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.743396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 80706a4f-9700-4a60-bb53-a7fef6403ff9 · outbound
This paper cites Shelhamer, and W.T.J.a.p.a.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Shelhamer, and W.T.J.a.p.a
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.725417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3dfdc796-b75f-4bec-b882-bcd7adea8beb · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.706720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 664d4841-1c52-40d1-8531-b1cfa5445ccd · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.688988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 00f67dbd-67bd-4d0a-9033-3b5569fb543e · outbound
This paper cites and S.J.I.
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.672040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 104c0f8c-9129-493e-bc32-f1b44d4b68d5 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.654482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 219a92d2-1644-48a8-8521-efe718141875 · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence, 2022.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management IEEE transactions on pattern analysis and machine intelligence, 2022
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.638427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a67c3506-c08e-47b3-b275-a0b45a8959b3 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.621494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b967863c-6615-4606-8008-48533a5e4a5a · outbound
This paper cites https://verra.org/methodologies/vm0047-afforestation-reforestation-and-revegetation-v1-0/, 2023.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management https://verra.org/methodologies/vm0047-afforestation-reforestation-and-revegetation-v1-0/, 2023
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.604971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 04de258f-9ae2-4aea-9887-84c2f8a77885 · outbound
This paper cites Liu, and R.
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.588004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1bfbabdd-5fe0-404c-8eec-db4b025963c8 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.571549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1d68edcf-faba-4b4f-bc41-063fdf1df4ff · outbound
This paper cites and C.J.B.D.
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.553026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eea5d080-6660-4473-93a8-1c7d579c2328 · outbound
This paper cites Forest Ecosystems, 2015.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Forest Ecosystems, 2015
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.535554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ddc6c03-474b-45ab-99a9-f7c746e54e12 · outbound
This paper cites an unresolved cited work.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:55:02.519189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1b5c0ad2-3e9f-4a99-9f75-dfe867552817 · outbound
This paper cites Shi, and M.
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.504048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1ac36868-4ca4-4008-84df-4c16352c9846 · outbound
This paper cites Remote Sensing of Environment, 2024.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Remote Sensing of Environment, 2024
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.487901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8122d5d1-011c-45e5-8920-9bce7285a2f2 · outbound
This paper cites Earth System Science Data Discussions, 2024.
A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management Earth System Science Data Discussions, 2024
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:55:02.471440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b9c3b8ad-ea32-4fcd-a938-1850f3b0e726 · outbound
This paper cites 9899-9904.
Reference 2011
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T22:55:03.383765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.