| Year |
Citation |
Score |
| 2023 |
Watts JD, Farina M, Kimball JS, Schiferl LD, Liu Z, Arndt KA, Zona D, Ballantyne A, Euskirchen ES, Parmentier FW, Helbig M, Sonnentag O, Tagesson T, Rinne J, Ikawa H, ... ... Kobayashi H, et al. Carbon uptake in Eurasian boreal forests dominates the high-latitude net ecosystem carbon budget. Global Change Biology. PMID 36647630 DOI: 10.1111/gcb.16553 |
0.635 |
|
| 2021 |
Migliavacca M, Musavi T, Mahecha MD, Nelson JA, Knauer J, Baldocchi DD, Perez-Priego O, Christiansen R, Peters J, Anderson K, Bahn M, Black TA, Blanken PD, Bonal D, Buchmann N, ... ... Kobayashi H, et al. The three major axes of terrestrial ecosystem function. Nature. PMID 34552242 DOI: 10.1038/s41586-021-03939-9 |
0.726 |
|
| 2021 |
Virkkala AM, Aalto J, Rogers BM, Tagesson T, Treat CC, Natali SM, Watts JD, Potter S, Lehtonen A, Mauritz M, Schuur EAG, Kochendorfer J, Zona D, Oechel W, Kobayashi H, et al. Statistical upscaling of ecosystem CO fluxes across the terrestrial tundra and boreal domain: regional patterns and uncertainties. Global Change Biology. PMID 33913236 DOI: 10.1111/gcb.15659 |
0.633 |
|
| 2021 |
Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, ... ... Kobayashi H, et al. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data. 8: 72. PMID 33633116 DOI: 10.1038/s41597-021-00851-9 |
0.704 |
|
| 2021 |
Johnston ASA, Meade A, Ardö J, Arriga N, Black A, Blanken PD, Bonal D, Brümmer C, Cescatti A, Dušek J, Graf A, Gioli B, Goded I, Gough CM, Ikawa H, ... ... Kobayashi H, et al. Temperature thresholds of ecosystem respiration at a global scale. Nature Ecology & Evolution. PMID 33619357 DOI: 10.1038/s41559-021-01398-z |
0.442 |
|
| 2020 |
Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, ... ... Kobayashi H, et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data. 7: 225. PMID 32647314 DOI: 10.1038/S41597-020-0534-3 |
0.733 |
|
| 2020 |
Sakai Y, Kobayashi H, Kato T. FLiES-SIF ver. 1.0: Three-dimensional radiative transfer model forestimating solar induced fluorescence Geoscientific Model Development Discussions. 13: 1-36. DOI: 10.5194/Gmd-2020-19 |
0.466 |
|
| 2020 |
Yi Y, Kimball JS, Watts JD, Natali SM, Zona D, Liu J, Ueyama M, Kobayashi H, Oechel W, Miller CE. Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model Biogeosciences Discussions. 1-38. DOI: 10.5194/Bg-2020-182 |
0.347 |
|
| 2020 |
Zhu C, Kanaya Y, Takigawa M, Ikeda K, Tanimoto H, Taketani F, Miyakawa T, Kobayashi H, Pisso I. FLEXPART v10.1 simulation of source contributions to Arctic black carbon Atmospheric Chemistry and Physics. 20: 1641-1656. DOI: 10.5194/Acp-20-1641-2020 |
0.332 |
|
| 2020 |
Xu X, Asawa T, Kobayashi H. Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera Remote Sensing. 12: 2214. DOI: 10.3390/Rs12142214 |
0.365 |
|
| 2020 |
Morozumi T, Sugimoto A, Suzuki R, Nagai S, Kobayashi H, Tei S, Takano S, Shakhmatov R, Maximov T. Photographic records of plant phenology and spring river flush timing in a river lowland ecosystem at the taiga–tundra boundary, northeastern Siberia Ecological Research. DOI: 10.1111/1440-1703.12107 |
0.301 |
|
| 2020 |
Sato H, Kobayashi H, Beer C, Fedorov AN. Simulating interactions between topography, permafrost, and vegetation in Siberian larch forest Environmental Research Letters. 15: 95006. DOI: 10.1088/1748-9326/Ab9Be4 |
0.349 |
|
| 2020 |
Ueyama M, Ichii K, Kobayashi H, Kumagai T, Beringer J, Merbold L, Euskirchen ES, Hirano T, Marchesini LB, Baldocchi D, Saitoh TM, Mizoguchi Y, Ono K, Kim J, Varlagin A, et al. Inferring CO2 fertilization effect based on global monitoring land-atmosphere exchange with a theoretical model Environmental Research Letters. 15: 84009. DOI: 10.1088/1748-9326/Ab79E5 |
0.565 |
|
| 2020 |
Shin N, Kotani A, Sato T, Sugimoto A, Maximov TC, Nogovitcyn A, Miyamoto Y, Kobayashi H, Tei S. Direct measurement of leaf area index in a deciduous needle-leaf forest, eastern Siberia Polar Science. 100550. DOI: 10.1016/J.Polar.2020.100550 |
0.453 |
|
| 2019 |
Liu Z, Kimball JS, Parazoo NC, Ballantyne AP, Wang WJ, Madani N, Pan CG, Watts JD, Reichle RH, Sonnentag O, Marsh P, Hurkuck M, Helbig M, Quinton W, Zona D, ... ... Kobayashi H, et al. Increased high-latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition. Global Change Biology. PMID 31596019 DOI: 10.1111/Gcb.14863 |
0.659 |
|
| 2019 |
Mäkelä J, Knauer J, Aurela M, Black A, Heimann M, Kobayashi H, Lohila A, Mammarella I, Margolis H, Markkanen T, Susiluoto J, Thum T, Viskari T, Zaehle S, Aalto T. Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler Geoscientific Model Development Discussions. 1-32. DOI: 10.5194/Gmd-2018-313 |
0.394 |
|
| 2019 |
Mäkelä J, Knauer J, Aurela M, Black A, Heimann M, Kobayashi H, Lohila A, Mammarella I, Margolis H, Markkanen T, Susiluoto J, Thum T, Viskari T, Zaehle S, Aalto T. Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH Geoscientific Model Development. 12: 4075-4098. DOI: 10.5194/Gmd-12-4075-2019 |
0.389 |
|
| 2019 |
Yang W, Kobayashi H, Wang C, Shen M, Chen J, Matsushita B, Tang Y, Kim Y, Bret-Harte MS, Zona D, Oechel W, Kondoh A. A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems Remote Sensing of Environment. 228: 31-44. DOI: 10.1016/J.Rse.2019.03.028 |
0.416 |
|
| 2019 |
Morozumi T, Shingubara R, Murase J, Nagai S, Kobayashi H, Takano S, Tei S, Fan R, Maximov TC, Sugimoto A. Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia Polar Science. 21: 186-194. DOI: 10.1016/J.Polar.2019.01.005 |
0.335 |
|
| 2018 |
Nagai S, Ikeda K, Kobayashi H. Simple method to detect year-to-year variability of blooming phenology of Cerasus × yedoensis by digital camera. International Journal of Biometeorology. PMID 30259108 DOI: 10.1007/S00484-018-1620-5 |
0.378 |
|
| 2018 |
Kobayashi H, Nagai S, Kim Y, Yang W, Ikeda K, Ikawa H, Nagano H, Suzuki R. In Situ Observations Reveal How Spectral Reflectance Responds to Growing Season Phenology of an Open Evergreen Forest in Alaska Remote Sensing. 10: 1071. DOI: 10.3390/Rs10071071 |
0.416 |
|
| 2018 |
Yang W, Kobayashi H, Chen X, Nasahara KN, Suzuki R, Kondoh A. Modeling three-dimensional forest structures to drive canopy radiative transfer simulations of bidirectional reflectance factor International Journal of Digital Earth. 11: 981-1000. DOI: 10.1080/17538947.2017.1353146 |
0.432 |
|
| 2018 |
Köhler P, Guanter L, Kobayashi H, Walther S, Yang W. Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in Amazon forests Remote Sensing of Environment. 204: 769-785. DOI: 10.1016/J.Rse.2017.09.025 |
0.459 |
|
| 2018 |
Ryu Y, Jiang C, Kobayashi H, Detto M. MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000 Remote Sensing of Environment. 204: 812-825. DOI: 10.1016/J.Rse.2017.09.021 |
0.744 |
|
| 2018 |
Nagano H, Ikawa H, Nakai T, Matsushima-Yashima M, Kobayashi H, Kim Y, Suzuki R. Extremely dry environment down-regulates nighttime respiration of a black spruce forest in Interior Alaska Agricultural and Forest Meteorology. 249: 297-309. DOI: 10.1016/J.Agrformet.2017.11.001 |
0.444 |
|
| 2018 |
Sato H, Kobayashi H. Topography Controls the Abundance of Siberian Larch Forest Journal of Geophysical Research. 123: 106-116. DOI: 10.1002/2017Jg004096 |
0.358 |
|
| 2017 |
Wu J, Kobayashi H, Stark SC, Meng R, Guan K, Tran NN, Gao S, Yang W, Restrepo-Coupe N, Miura T, Oliviera RC, Rogers A, Dye DG, Nelson BW, Serbin SP, et al. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. The New Phytologist. PMID 29274288 DOI: 10.1111/Nph.14939 |
0.485 |
|
| 2017 |
Zhu C, Kobayashi H, Kanaya Y, Saito M. Size-dependent validation of MODIS MCD64A1 burned area over six vegetation types in boreal Eurasia: Large underestimation in croplands. Scientific Reports. 7: 4181. PMID 28680076 DOI: 10.1038/S41598-017-03739-0 |
0.38 |
|
| 2017 |
Yang W, Kobayashi H, Nasahara KN, Suzuki R, Kondoh A. Quantitative Evaluation of Bitterlich Sampling for Estimating Basal Area in Sparse Boreal Forests and Dense Tropical Forests Open Journal of Forestry. 7: 143-156. DOI: 10.4236/Ojf.2017.72009 |
0.416 |
|
| 2017 |
Ichii K, Ueyama M, Kondo M, Saigusa N, Kim J, Alberto MC, Ardö J, Euskirchen ES, Kang M, Hirano T, Joiner J, Kobayashi H, Marchesini LB, Merbold L, Miyata A, et al. New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression Journal of Geophysical Research. 122: 767-795. DOI: 10.1002/2016Jg003640 |
0.385 |
|
| 2016 |
Sato H, Kobayashi H, Iwahana G, Ohta T. Endurance of larch forest ecosystems in eastern Siberia under warming trends. Ecology and Evolution. 6: 5690-704. PMID 27547347 DOI: 10.1002/Ece3.2285 |
0.477 |
|
| 2016 |
Wu J, Albert LP, Lopes AP, Restrepo-Coupe N, Hayek M, Wiedemann KT, Guan K, Stark SC, Christoffersen B, Prohaska N, Tavares JV, Marostica S, Kobayashi H, Ferreira ML, Campos KS, et al. Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science (New York, N.Y.). 351: 972-6. PMID 26917771 DOI: 10.1126/Science.Aad5068 |
0.472 |
|
| 2016 |
Hovi A, Liang J, Korhonen L, Kobayashi H, Rautiainen M. Quantifying the missing link between forest albedo and productivity in the boreal zone Biogeosciences. 13: 6015-6030. DOI: 10.5194/Bg-13-6015-2016 |
0.444 |
|
| 2016 |
Verma M, Fisher JB, Mallick K, Ryu Y, Kobayashi H, Guillaume A, Moore G, Ramakrishnan L, Hendrix V, Wolf S, Sikka M, Kiely G, Wohlfahrt G, Gielen B, Roupsard O, et al. Global Surface Net-Radiation at 5 km from MODIS Terra Remote Sensing. 8: 739-739. DOI: 10.3390/Rs8090739 |
0.736 |
|
| 2016 |
Kobayashi H, Yunus AP, Nagai S, Sugiura K, Kim Y, Van Dam B, Nagano H, Zona D, Harazono Y, Bret-Harte MS, Ichii K, Ikawa H, Iwata H, Oechel WC, Ueyama M, et al. Latitudinal gradient of spruce forest understory and tundra phenology in Alaska as observed from satellite and ground-based data Remote Sensing of Environment. 177: 160-170. DOI: 10.1016/J.Rse.2016.02.020 |
0.439 |
|
| 2016 |
Nagai S, Ichie T, Yoneyama A, Kobayashi H, Inoue T, Ishii R, Suzuki R, Itioka T. Usability of time-lapse digital camera images to detect characteristics of tree phenology in a tropical rainforest Ecological Informatics. 32: 91-106. DOI: 10.1016/J.Ecoinf.2016.01.006 |
0.375 |
|
| 2016 |
Ueyama M, Tahara N, Iwata H, Euskirchen ES, Ikawa H, Kobayashi H, Nagano H, Nakai T, Harazono Y. Optimization of a biochemical model with eddy covariance measurements in black spruce forests of Alaska for estimating CO2 fertilization effects Agricultural and Forest Meteorology. 222: 98-111. DOI: 10.1016/J.Agrformet.2016.03.007 |
0.45 |
|
| 2016 |
Pisek J, Chen JM, Kobayashi H, Rautiainen M, Schaepman ME, Karnieli A, Sprinstin M, Ryu Y, Nikopensius M, Raabe K. Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data Journal of Geophysical Research G: Biogeosciences. DOI: 10.1002/2016Jg003322 |
0.626 |
|
| 2015 |
Osuna JL, Baldocchi DD, Kobayashi H, Dawson TE. Seasonal trends in photosynthesis and electron transport during the Mediterranean summer drought in leaves of deciduous oaks. Tree Physiology. 35: 485-500. PMID 25855663 DOI: 10.1093/Treephys/Tpv023 |
0.773 |
|
| 2015 |
Widlowski JL, Mio C, Disney M, Adams J, Andredakis I, Atzberger C, Brennan J, Busetto L, Chelle M, Ceccherini G, Colombo R, Côté JF, Eenmäe A, Essery R, Gastellu-Etchegorry JP, ... ... Kobayashi H, et al. The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing Remote Sensing of Environment. 169: 418-437. DOI: 10.1016/J.Rse.2015.08.016 |
0.382 |
|
| 2015 |
Inoue T, Nagai S, Kobayashi H, Koizumi H. Utilization of ground-based digital photography for the evaluation of seasonal changes in the aboveground green biomass and foliage phenology in a grassland ecosystem Ecological Informatics. 25: 1-9. DOI: 10.1016/J.Ecoinf.2014.09.013 |
0.414 |
|
| 2015 |
Ikawa H, Nakai T, Busey RC, Kim Y, Kobayashi H, Nagai S, Ueyama M, Saito K, Nagano H, Suzuki R, Hinzman L. Understory CO2, sensible heat, and latent heat fluxes in a black spruce forest in interior Alaska Agricultural and Forest Meteorology. 214: 80-90. DOI: 10.1016/J.Agrformet.2015.08.247 |
0.421 |
|
| 2014 |
Yang W, Kobayashi H, Suzuki R, Nasahara KN. A Simple Method for Retrieving Understory NDVI in Sparse Needleleaf Forests in Alaska Using MODIS BRDF Data Remote Sensing. 6: 11936-11955. DOI: 10.3390/Rs61211936 |
0.468 |
|
| 2014 |
Kobayashi H, Suzuki R, Nagai S, Nakai T, Kim Y. Spatial Scale and Landscape Heterogeneity Effects on FAPAR in an Open-Canopy Black Spruce Forest in Interior Alaska Ieee Geoscience and Remote Sensing Letters. 11: 564-568. DOI: 10.1109/Lgrs.2013.2278426 |
0.441 |
|
| 2014 |
Nagai S, Ishii R, Suhaili AB, Kobayashi H, Matsuoka M, Ichie T, Motohka T, Kendawang JJ, Suzuki R. Usability of noise-free daily satellite-observed green–red vegetation index values for monitoring ecosystem changes in Borneo International Journal of Remote Sensing. 35: 7910-7926. DOI: 10.1080/01431161.2014.978039 |
0.374 |
|
| 2014 |
Nagai S, Inoue T, Ohtsuka T, Kobayashi H, Kurumado K, Muraoka H, Nasahara KN. Relationship between spatio-temporal characteristics of leaf-fall phenology and seasonal variations in near surface-and satellite-observed vegetation indices in a cool-temperate deciduous broad-leaved forest in Japan Journal of Remote Sensing. 35: 3520-3536. DOI: 10.1080/01431161.2014.907937 |
0.42 |
|
| 2014 |
Ueyama M, Kudo S, Iwama C, Nagano H, Kobayashi H, Harazono Y, Yoshikawa K. Does summer warming reduce black spruce productivity in interior Alaska? Journal of Forest Research. 20: 52-59. DOI: 10.1007/S10310-014-0448-Z |
0.364 |
|
| 2013 |
Ichii K, Kondo M, Okabe Y, Ueyama M, Kobayashi H, Lee SJ, Saigusa N, Zhu Z, Myneni RB. Recent changes in terrestrial gross primary productivity in asia from 1982 to 2011 Remote Sensing. 5: 6043-6062. DOI: 10.3390/Rs5116043 |
0.438 |
|
| 2013 |
Nagai S, Saitoh TM, Kurumado K, Tamagawa I, Kobayashi H, Inoue T, Suzuki R, Gamo M, Muraoka H, Nasahara KN. Detection of Bio-Meteorological Year-to-Year Variation by Using Digital Canopy Surface Images of a Deciduous Broad-Leaved Forest Sola. 9: 106-110. DOI: 10.2151/Sola.2013-024 |
0.361 |
|
| 2013 |
Nakai T, Kim Y, Busey RC, Suzuki R, Nagai S, Kobayashi H, Park H, Sugiura K, Ito A. Characteristics of evapotranspiration from a permafrost black spruce forest in interior Alaska Polar Science. 7: 136-148. DOI: 10.1016/J.Polar.2013.03.003 |
0.399 |
|
| 2013 |
Nagai S, Nakai T, Saitoh TM, Busey RC, Kobayashi H, Suzuki R, Muraoka H, Kim Y. Seasonal changes in camera-based indices from an open canopy black spruce forest in Alaska, and comparison with indices from a closed canopy evergreen coniferous forest in Japan Polar Science. 7: 125-135. DOI: 10.1016/J.Polar.2012.12.001 |
0.457 |
|
| 2013 |
Nagai S, Saitoh TM, Noh NJ, Yoon TK, Kobayashi H, Suzuki R, Nasahara KN, Son YW, Muraoka H. Utility of information in photographs taken upwards from the floor of closed-canopy deciduous broadleaved and closed-canopy evergreen coniferous forests for continuous observation of canopy phenology Ecological Informatics. 18: 10-19. DOI: 10.1016/J.Ecoinf.2013.05.005 |
0.385 |
|
| 2013 |
Kobayashi H, Ryu Y, Baldocchi DD, Welles JM, Norman JM. On the correct estimation of gap fraction: How to remove scattered radiation in gap fraction measurements? Agricultural and Forest Meteorology. 174: 170-183. DOI: 10.1016/J.Agrformet.2013.02.013 |
0.658 |
|
| 2013 |
Vargas R, Sonnentag O, Abramowitz G, Carrara A, Chen JM, Ciais P, Correia A, Keenan TF, Kobayashi H, Ourcival JM, Papale D, Pearson D, Pereira JS, Piao S, Rambal S, et al. Drought Influences the Accuracy of Simulated Ecosystem Fluxes: A Model-Data Meta-analysis for Mediterranean Oak Woodlands Ecosystems. 16: 749-764. DOI: 10.1007/S10021-013-9648-1 |
0.787 |
|
| 2013 |
Widlowski J, Pinty B, Lopatka M, Atzberger C, Buzica D, Chelle M, Disney M, Gastellu-Etchegorry J, Gerboles M, Gobron N, Grau E, Huang H, Kallel A, Kobayashi H, Lewis PE, et al. The fourth radiation transfer model intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528 Journal of Geophysical Research: Atmospheres. 118: 6869-6890. DOI: 10.1002/Jgrd.50497 |
0.356 |
|
| 2012 |
Nagai S, Saitoh T, Kobayashi H, Ishihara M, Suzuki R, Motohka T, Nasahara KN, Muraoka H. In situ examination of the relationship between various vegetation indices and canopy phenology in an evergreen coniferous forest, Japan Journal of Remote Sensing. 33: 6202-6214. DOI: 10.1080/01431161.2012.682660 |
0.439 |
|
| 2012 |
Ryu Y, Verfaillie J, Macfarlane C, Kobayashi H, Sonnentag O, Vargas R, Ma S, Baldocchi DD. Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras Remote Sensing of Environment. 126: 116-125. DOI: 10.1016/J.Rse.2012.08.027 |
0.804 |
|
| 2012 |
Saitoh TM, Nagai S, Saigusa N, Kobayashi H, Suzuki R, Nasahara KN, Muraoka H. Assessing the use of camera-based indices for characterizing canopy phenology in relation to gross primary production in a deciduous broad-leaved and an evergreen coniferous forest in Japan Ecological Informatics. 11: 45-54. DOI: 10.1016/J.Ecoinf.2012.05.001 |
0.472 |
|
| 2012 |
Kobayashi H, Baldocchi DD, Ryu Y, Chen Q, Ma S, Osuna JL, Ustin SL. Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach Agricultural and Forest Meteorology. 152: 83-100. DOI: 10.1016/J.Agrformet.2011.09.008 |
0.772 |
|
| 2011 |
Ryu Y, Baldocchi DD, Kobayashi H, Van Ingen C, Li J, Black TA, Beringer J, Van Gorsel E, Knohl A, Law BE, Roupsard O. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales Global Biogeochemical Cycles. 25. DOI: 10.1029/2011Gb004053 |
0.765 |
|
| 2011 |
Widlowski J‐, Pinty B, Clerici M, Dai Y, Kauwe MD, Ridder Kd, Kallel A, Kobayashi H, Lavergne T, Ni‐Meister W, Olchev A, Quaife T, Wang S, Yang W, Yang Y, et al. RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models Journal of Geophysical Research. 116: 1-25. DOI: 10.1029/2010Jg001511 |
0.42 |
|
| 2011 |
Suzuki R, Kobayashi H, Delbart N, Asanuma J, Hiyama T. NDVI responses to the forest canopy and floor from spring to summer observed by airborne spectrometer in eastern Siberia Remote Sensing of Environment. 115: 3615-3624. DOI: 10.1016/J.Rse.2011.08.022 |
0.416 |
|
| 2010 |
Kobayashi H, Delbart N, Suzuki R, Kushida K. A satellite-based method for monitoring seasonality in the overstory leaf area index of Siberian larch forest Journal of Geophysical Research. 115. DOI: 10.1029/2009Jg000939 |
0.497 |
|
| 2010 |
Sato H, Kobayashi H, Delbart N. Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM Forest Ecology and Management. 259: 301-311. DOI: 10.1016/J.Foreco.2009.10.019 |
0.462 |
|
| 2010 |
Ryu Y, Nilson T, Kobayashi H, Sonnentag O, Law BE, Baldocchi DD. On the correct estimation of effective leaf area index: Does it reveal information on clumping effects? Agricultural and Forest Meteorology. 150: 463-472. DOI: 10.1016/J.Agrformet.2010.01.009 |
0.759 |
|
| 2010 |
Ryu Y, Sonnentag O, Nilson T, Vargas R, Kobayashi H, Wenk R, Baldocchi DD. How to quantify tree leaf area index in an open savanna ecosystem: A multi-instrument and multi-model approach Agricultural and Forest Meteorology. 150: 63-76. DOI: 10.1016/J.Agrformet.2009.08.007 |
0.79 |
|
| 2008 |
Kobayashi H. Relationship Between Spectral Reflectance and Leaf Area Index in Needleleaf Forest : the Effect of Three-Dimensional Forest Structure and Clumping Journal of Remote Sensing. 28: 350-356. DOI: 10.11440/Rssj.28.350 |
0.399 |
|
| 2008 |
Kobayashi H. Definition, Uncertainty, and Validation Method of the Satellite-based Global Leaf Area Index Products Journal of Remote Sensing. 28: 1-16. DOI: 10.11440/Rssj.28.1 |
0.369 |
|
| 2008 |
Kobayashi H, Iwabuchi H. A coupled 1-D atmosphere and 3-D canopy radiative transfer model for canopy reflectance, light environment, and photosynthesis simulation in a heterogeneous landscape Remote Sensing of Environment. 112: 173-185. DOI: 10.1016/J.Rse.2007.04.010 |
0.386 |
|
| 2007 |
Kobayashi H, Suzuki R, Kobayashi S. Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest : Multi-satellite data and radiative transfer analyses Remote Sensing of Environment. 106: 238-252. DOI: 10.1016/J.Rse.2006.08.011 |
0.5 |
|
| 2005 |
Kobayashi H, Dye DG. Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index Remote Sensing of Environment. 97: 519-525. DOI: 10.1016/J.Rse.2005.06.007 |
0.479 |
|
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