¹Ù·Î°¡±â ¸Þ´º

¹Ù·Î°¡±â ¸Þ´º º»¹®³»¿ë ¹Ù·Î°¡±â ¸ÞÀθ޴º ¹Ù·Î°¡±â

ÁÖ¿ä¾È³»

HOME »çÀÌÆ®¸Ê ÆùƮũ±â Å°¿ò 100% 110% 120% 130% 140% ÆùƮũ±â ÁÙÀÓ
¸Þ´ºº¸±â
Á¦¸ñ
Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression : Mechanistic insights from observations and process-based simulations.
ÀÛ¼ºÀÏ
2022-04-06
Á¶È¸¼ö
131


TitleTitleTitleTitleTitleTitle ³ó¸²»ýÅ°è Áö¼Ó°¡´É¼º Á¦°í¸¦ À§ÇÑ ³ó¸²±â»óÇÐÀÇ µµÀü°ú °úÁ¦Àå±â °üÃø ¿¡µð Ç÷°½º ÀÚ·áÀÇ ¿¬¼Ó¼º È®º¸¿¡ ´ëÇÏ¿© : °³È¸·Î ¹× ºÀÆóȸ·Î ±âüºÐ¼®±âÀÇ ¾ß¿Ü »óÈ£ ºñ±³Anticipating global terrestrial ecosystem state change using fluxnet.The influence of tree structural and species diversity on temperate forest productivity and stability in korea.Impact of leaf area index from various sources on estimating gross primary production in temperate forests using the jules land surface model.Fluxnet-ch4 synthesis activity : Objectives, observations, and future directions.Gap-filling approaches for eddy covariance methane fluxes : A comparison of three machine learning algorithms and traditional method with principal component analysis.Modification of the moving point test method for nighttime eddy co2 flux filtering on hilly and complex terrains.New Gap-filling strategies for long-period flux data gaps using a data-driven approach.Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression : Mechanistic insights from observations and process-based simulations.
AuthorsAuthorsAuthorsAuthorsAuthorsAuthorsAuthorsAuthorsAuthors ±è±¤¼ö, ¹®°æȯ, õÁ¤È­, ±èÁØȯ, °­¹Î¼®, ±è´ëÁØ°­¹Î¼®, ±èÁØ, ¾çÇö¿µ, ÀÓÁ¾È¯, õÁ¤È­, ¹®¹Î±ÔYu R, Ruddell BL, Kang M, Kim J and Childers DPark J, Kim HS, Jo HK and Jung IBLee H, Park J, Cho S, Lee M, and Kim HSKnox SH, Jackson RB, Poulter B, McNicol G, Fluet-Chouinard E, Zhang Z, Hugelius G, Bousquet P, Canadell JG and Saunois MKim Y, Johnson MS, Knox SH, Black TA, Dalmagro HJ, Kang M, Kim J and Baldocchi DKang M, Kim J, Malla Thakuri B, Chun J and Cho CKang M, Ichii K, Kim J, Indrawati YM, Park J, Moon M, Lim J-H and Chun J-HDechant B, Ryu Y and Kang M
PublicationPublicationPublicationPublicationPublicationPublication 2018201820182018201820182018201920192019201920192019201920192019201920192019201920192019
JournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournalJournal Atmosphere 9The Journal of Engineering Geology 28Korean Journal of Agricultural and Forest MeteorologyKorean Journal of Agricultural and Forest MeteorologyKorean Journal of Agricultural and Forest Meteorology Korean Journal of Agricultural and Forest Meteorology Korean Journal of Agricultural and Forest Meteorology Korean Journal of Agricultural and Forest Meteorology 21Korean Journal of Agricultural and Forest MeteorologyGlobal change biology, 25Forests, 10Agricultural and Forest Meteorology 276Bulletin of the American Meteorological Society, 100 Global change biologyMethodsXAtmosphereRemote Sensing of Environment 234
ºñ°í SCIESCIEKCISCIESCIESCIESCIESCIE
÷ºÎÆÄÀÏ:
÷ºÎÆÄÀÏÀÌ ¾ø½À´Ï´Ù.
ÀÌÀü±Û
New Gap-filling strategies for long-period flux data gaps using a data-driven approach.
/ °ü¸®ÀÚ
TitleTitleTitleTitleTitle ³ó¸²»ýÅ°è Áö¼Ó°¡´É¼º Á¦°í¸¦ À§ÇÑ ³ó¸²±â»óÇÐÀÇ µµÀü°ú °úÁ¦Àå±â °üÃø ¿¡µð Ç÷°½º ÀÚ·áÀÇ ¿¬¼Ó¼º È®º¸¿¡ ´ëÇÏ¿© : °³È¸·Î ¹× ºÀÆóȸ·Î ±âüºÐ¼®±âÀÇ ¾ß¿Ü »óÈ£ ºñ±³Anticipating global terrestrial ecosystem state change using fluxnet.The influence of tree structural ..