572
Views
33
CrossRef citations to date
0
Altmetric
Articles

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

, , , , , & show all
Pages 3520-3536 | Received 04 Jul 2013, Accepted 10 Mar 2014, Published online: 23 Apr 2014

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Thiago Sousa Teles, Lênio Soares Galvão, Fábio Marcelo Breunig, Rafaelo Balbinot & William Gaida. (2015) Relationships between MODIS phenological metrics, topographic shade, and anomalous temperature patterns in seasonal deciduous forests of south Brazil. International Journal of Remote Sensing 36:18, pages 4501-4518.
Read now
Shin Nagai, Reiichiro Ishii, Affendi Bin Suhaili, Hideki Kobayashi, Masayuki Matsuoka, Tomoaki Ichie, Takeshi Motohka, Joseph Jawa Kendawang & Rikie Suzuki. (2014) Usability of noise-free daily satellite-observed green–red vegetation index values for monitoring ecosystem changes in Borneo. International Journal of Remote Sensing 35:23, pages 7910-7926.
Read now

Articles from other publishers (31)

Qian Cheng, Fan Ding, Honggang Xu, Shuzhe Guo, Zongpeng Li & Zhen Chen. (2024) Quantifying corn LAI using machine learning and UAV multispectral imaging. Precision Agriculture.
Crossref
Shuai Wu & Wei Wu. (2024) Understanding spatio-temporal variation of autumn phenology in temperate China from 1982 to 2018. Frontiers in Ecology and Evolution 11.
Crossref
Wangchao Li, Rui Chen, Dujuan Ma, Changjing Wang, Yajie Yang, Cong Wang, Huai Chen & Gaofei Yin. (2023) Tracking autumn photosynthetic phenology on Tibetan plateau grassland with the green–red vegetation index. Agricultural and Forest Meteorology 339, pages 109573.
Crossref
Chen Zheng, Shaoqiang Wang, Jing M. Chen, Jinghua Chen, Bin Chen, Xinlei He, Hui Li & Leigang Sun. (2023) Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production. Journal of Geophysical Research: Biogeosciences 128:7.
Crossref
Nagai Shin, Chifuyu Katsumata, Tomoaki Miura, Narumasa Tsutsumida, Tomoaki Ichie, Ayumi Kotani, Michiko Nakagawa, Kho Lip Khoon, Hideki Kobayashi, Tomo’omi Kumagai, Shunsuke Tei, Runi anak Sylvester Pungga, Taizo Yamada, Akihiro Kameda, Masayuki Yanagisawa, Kenlo Nishida Nasahara, Hiroyuki Muraoka, Kazuhito Ichii & Yuji Tokumoto. (2023) Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics. Frontiers in Forests and Global Change 6.
Crossref
Tomoki Morozumi, Tomomichi Kato, Hideki Kobayashi, Yuma Sakai, Naohisa Nakashima, Kanokrat Buareal, Kenlo Nishida Nasahara, Tomoko Kawaguchi Akitsu, Shohei Murayama, Hibiki M. Noda & Hiroyuki Muraoka. (2023) Contributions of the understory and midstory to total canopy solar-induced chlorophyll fluorescence in a ground-based study in conjunction with seasonal gross primary productivity in a cool-temperate deciduous broadleaf forest. Remote Sensing of Environment 284, pages 113340.
Crossref
Gaofei Yin, Aleixandre Verger, Adrià Descals, Iolanda Filella & Josep Peñuelas. (2022) A Broadband Green-Red Vegetation Index for Monitoring Gross Primary Production Phenology. Journal of Remote Sensing 2022.
Crossref
Erika Rocío Reyes-González, Leticia Gómez-Mendoza, Víctor L. Barradas & Ángel Refugio Terán-Cuevas. (2021) Cross-scale phenological monitoring in forest ecosystems: a content-analysis-based review. International Journal of Biometeorology 65:12, pages 2215-2227.
Crossref
Yang Li, Ziti Jiao, Kaiguang Zhao, Yadong Dong, Yuyu Zhou, Yelu Zeng, Haiqing Xu, Xiaoning Zhang, Tongxi Hu & Lei Cui. (2021) Influence of Varying Solar Zenith Angles on Land Surface Phenology Derived from Vegetation Indices: A Case Study in the Harvard Forest. Remote Sensing 13:20, pages 4126.
Crossref
Nagai Shin, Taku M. Saitoh & Kenlo Nishida Nasahara. (2021) How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?. PLOS ONE 16:7, pages e0255078.
Crossref
Hibiki M. Noda, Hiroyuki Muraoka & Kenlo Nishida Nasahara. (2021) Plant ecophysiological processes in spectral profiles: perspective from a deciduous broadleaf forest. Journal of Plant Research 134:4, pages 737-751.
Crossref
Hibiki M. Noda, Hiroyuki Muraoka & Kenlo Nishida Nasahara. (2021) Phenology of leaf optical properties and their relationship to mesophyll development in cool-temperate deciduous broad-leaf trees.. Agricultural and Forest Meteorology 297, pages 108236.
Crossref
Elias F. Berra & Rachel Gaulton. (2021) Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics. Forest Ecology and Management 480, pages 118663.
Crossref
Tomoki Morozumi, Atsuko Sugimoto, Rikie Suzuki, Shin Nagai, Hideki Kobayashi, Shunsuke Tei, Shinya Takano, Ruslan Shakhmatov & Trofim Maximov. (2020) Photographic records of plant phenology and spring river flush timing in a river lowland ecosystem at the taiga–tundra boundary, northeastern Siberia. Ecological Research 35:5, pages 717-723.
Crossref
Warren B. Cohen, Sean P. Healey, Zhiqiang Yang, Zhe Zhu & Noel Gorelick. (2020) Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance. Remote Sensing 12:10, pages 1673.
Crossref
Shin Nagai, Kenlo Nishida Nasahara, Tomoko Kawaguchi Akitsu, Taku M. Saitoh & Hiroyuki Muraoka. 2020. Biogeochemical Cycles. Biogeochemical Cycles 223 244 .
Dai Koide, Reiko Ide & Hiroyuki Oguma. (2019) Detection of autumn leaf phenology and color brightness from repeat photography: Accurate, robust, and sensitive indexes and modeling under unstable field observations. Ecological Indicators 106, pages 105482.
Crossref
Veronika Lukasová, Tomáš Bucha, Jana Škvareninová & Jaroslav Škvarenina. (2019) Validation and Application of European Beech Phenological Metrics Derived from MODIS Data along an Altitudinal Gradient. Forests 10:1, pages 60.
Crossref
Jongmin Kim, Youngryel Ryu, Chongya Jiang & Yorum Hwang. (2019) Continuous observation of vegetation canopy dynamics using an integrated low-cost, near-surface remote sensing system. Agricultural and Forest Meteorology 264, pages 164-177.
Crossref
Shin Nagai, Hideki Kobayashi & Rikie Suzuki. 2019. Water-Carbon Dynamics in Eastern Siberia. Water-Carbon Dynamics in Eastern Siberia 231 252 .
Irina Melnikova, Yoshio Awaya, Taku Saitoh, Hiroyuki Muraoka & Takahiro Sasai. (2018) Estimation of Leaf Area Index in a Mountain Forest of Central Japan with a 30-m Spatial Resolution Based on Landsat Operational Land Imager Imagery: An Application of a Simple Model for Seasonal Monitoring. Remote Sensing 10:2, pages 179.
Crossref
Franz Conen, Mikhail Yakutin, Karl Yttri & Christoph Hüglin. (2017) Ice Nucleating Particle Concentrations Increase When Leaves Fall in Autumn. Atmosphere 8:10, pages 202.
Crossref
Krystyna Michalowska, Ewa Glowienka & Beata Hejmanowska. (2017) Remote Sensing Methods in the Study of the Impact of Long-Term Process of Sulphur Mining on Environmental Changes of the Carpathian Foreland. Remote Sensing Methods in the Study of the Impact of Long-Term Process of Sulphur Mining on Environmental Changes of the Carpathian Foreland.
Masatoshi Kuribayashi, Nam-Jin Noh, Taku M. Saitoh, Akihiko Ito, Yasutaka Wakazuki & Hiroyuki Muraoka. (2016) Current and future carbon budget at Takayama site, Japan, evaluated by a regional climate model and a process-based terrestrial ecosystem model. International Journal of Biometeorology 61:6, pages 989-1001.
Crossref
Chaoyang Wu, Dailiang Peng, Kamel Soudani, Lukas Siebicke, Christopher M. Gough, M. Altaf Arain, Gil Bohrer, Peter M. Lafleur, Matthias Peichl, Alemu Gonsamo, Shiguang Xu, Bin Fang & Quansheng Ge. (2017) Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites. Agricultural and Forest Meteorology 233, pages 171-182.
Crossref
Aleixandre Verger, Iolanda Filella, Frédéric Baret & Josep Peñuelas. (2016) Vegetation baseline phenology from kilometric global LAI satellite products. Remote Sensing of Environment 178, pages 1-14.
Crossref
Hideki Kobayashi, Ali P. Yunus, Shin Nagai, Konosuke Sugiura, Yongwon Kim, Brie Van Dam, Hirohiko Nagano, Donatella Zona, Yoshinobu Harazono, M. Syndonia Bret-Harte, Kazuhito Ichii, Hiroki Ikawa, Hiroki Iwata, Walter C. Oechel, Masahito Ueyama & Rikie Suzuki. (2016) Latitudinal gradient of spruce forest understory and tundra phenology in Alaska as observed from satellite and ground-based data. Remote Sensing of Environment 177, pages 160-170.
Crossref
Shin Nagai, Kenlo Nishida Nasahara, Tomoharu Inoue, Taku M. Saitoh & Rikie Suzuki. (2015) Review: advances in in situ and satellite phenological observations in Japan. International Journal of Biometeorology 60:4, pages 615-627.
Crossref
Shin Nagai, Tomoaki Ichie, Aogu Yoneyama, Hideki Kobayashi, Tomoharu Inoue, Reiichiro Ishii, Rikie Suzuki & Takao Itioka. (2016) Usability of time-lapse digital camera images to detect characteristics of tree phenology in a tropical rainforest. Ecological Informatics 32, pages 91-106.
Crossref
Shin Nagai, Tomoharu Inoue, Toshiyuki Ohtsuka, Shinpei Yoshitake, Kenlo Nishida Nasahara & Taku M. Saitoh. (2015) Uncertainties involved in leaf fall phenology detected by digital camera. Ecological Informatics 30, pages 124-132.
Crossref
Kenlo Nishida Nasahara & Shin Nagai. (2015) Review: Development of an in situ observation network for terrestrial ecological remote sensing: the Phenological Eyes Network (PEN). Ecological Research 30:2, pages 211-223.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.