About: Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery

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description	wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2014 (uk) article scientifique publié en 2014 (fr) im August 2014 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58309583-BE52CC89-26BA-4BEC-AE6F-95B3445C4DB9
publication date	2014-08-19 00:00:00Z (xsd:dateTime)
author name string	wds:Q58309583-0C5E99DD-E835-4F30-AF07-115D727428B8 wds:Q58309583-1AA3FD99-72CC-41A8-B678-4913DC4E7806 wds:Q58309583-2A185912-3A0F-405E-9B7C-0DEFC7BFC70A wds:Q58309583-5A120134-277B-4224-8ED9-768E5853DC71 wds:Q58309583-943EE4A4-9EAA-4BFB-B84F-4DB853604931 wds:Q58309583-9C8DAA27-3F1A-4912-B1D5-D13C1E700EA3 wds:Q58309583-B05FFE40-C8CB-451A-991B-FC2930F4D438 wds:Q58309583-F98085F3-9F65-47EA-AC88-0B808D14F169
author name string	J. M. Gray L. Mitchell R. Norman M. A. Friedl A. D. Richardson I. Lavine O. Sonnentag S. T. Klosterman
rdfs:label	Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (en) Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (nl)
skos:prefLabel	Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (en) Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (nl)
name	Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (en) Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (nl)
author	wds:Q58309583-3F350959-007B-4EF7-854E-BAA6CDB8A522 wds:Q58309583-DA85DEB9-B084-49B9-88F3-4F184F904469
author	Eli K Melaas Koen Hufkens
title	wds:Q58309583-430A76F2-D367-445E-B0C6-16031B226807
title	Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery (en)
page(s)	wds:Q58309583-B57604B8-A64D-4411-976F-1529D5EC88E7
page(s)	4305-4320
instance of	wds:Q58309583-36746EF5-1C4F-45C5-9F28-527D46241F5A
instance of	scholarly article
main subject	wds:Q58309583-4D95184B-033D-47FC-BD65-84CAD42E71E5 wds:Q58309583-50EAC12C-CB58-40F0-9059-C5682DF1A5E2 wds:Q58309583-6E50DB59-58B8-4359-B79A-5F039BC64169 wds:Q58309583-B75E5343-304E-4C6E-A8EE-05A1CB2E1AD4
main subject	phenology remote sensing deciduous forest spatial scale
published in	wds:Q58309583-25B0E550-FB11-4160-8CC5-346610E11F96
published in	Biogeosciences
issue	wds:Q58309583-71280D5A-A2D8-45FD-A64A-180A08A08C0F
volume	wds:Q58309583-D5214BDA-36E0-4DC2-9A08-325E7797C2DB
issue	16
volume	11
DOI	wds:Q58309583-774A41DB-C451-4510-AAC1-31C3A82C7EF2
DOI	http://dx.doi.org/10.5194/BG-11-4305-2014
DOI	10.5194/BG-11-4305-2014
copyright license	wds:Q58309583-65c0b64d-ca98-48bd-9e89-5fd4c5e2fb5a
copyright status	wds:Q58309583-7ee83e97-c6ef-460f-aa52-9f1a66c1f9cf
copyright license	Creative Commons Attribution 3.0 Unported
copyright status	copyrighted
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58309583
is cites work of	The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models Review: advances in in situ and satellite phenological observations in Japan Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics Ecosystem fluxes of hydrogen in a mid-latitude forest driven by soil microorganisms and plants Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing. Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests. Extracting Plant Phenology Metrics in a Great Basin Watershed: Methods and Considerations for Quantifying Phenophases in a Cold Desert Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016 Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery. A new seasonal-deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios. Evaluating MODIS vegetation products using digital images for quantifying local peatland CO2 gas fluxes Species-specific spring and autumn leaf phenology captured by time-lapse digital cameras Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Automated processing of webcam images for phenological classification Comparison of Landsat and Land-Based Phenology Camera Normalized Difference Vegetation Index (NDVI) for Dominant Plant Communities in the Great Basin Agricultural Research Using Social Media Data
is cites work of	wds:Q52597794-7EBFEDD8-EF13-48D3-8CC7-03A2676D342D wds:Q100761988-01643F0E-1BBA-4AB1-ADCA-4C46A53E0CB5 wds:Q35620466-CF53AC79-F98E-4AFC-B4AE-1BF0B879824D wds:Q35557901-723F7723-E861-4ED4-97EA-C704E885BBFE wds:Q39138718-F6402797-DAF1-456D-A730-E612B43D0198 wds:Q39135369-DE4A6057-021D-4ABA-9F5E-FA02A2815B82 wds:Q50531983-E63C4934-A6B5-46D7-9E7C-48341E6C135F wds:Q57917718-C586862B-5385-4DAB-B7EE-F46EF4D272A5 wds:Q57023123-3B7918B3-24F0-4A69-914C-FC341CF34A74 wds:Q31165868-188452D2-3AC8-4687-A27C-9A740BEF6470 wds:Q64060013-dc8c679e-4603-3405-7d02-18a65628fb7d wds:Q90884201-99E77AFB-4520-4DBB-B8E5-E26E89A38D86 wds:Q31143621-8D624433-1C88-45EC-8FAF-B662421D2FDF wds:Q40321266-5BE26D3A-1905-4EE3-84ED-67BB34D742DD wds:Q47384620-B232F103-D939-4EBF-AC9B-AA05AA05B111 wds:Q26797364-60572564-D894-4FB5-9EAB-D0819CBBE789 wds:Q31081792-83E70419-8FC3-44BA-9149-1DB9BBE70E1A wds:Q44718427-2366100E-9F2B-4C37-BF54-9D839CA13CF0 wds:Q56705575-C1C9C2F8-E542-4DE2-9888-8BF0EFB29A24

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