A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems
Published in: | Remote Sensing of Environment |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Elsevier BV
2019
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Online Access: | http://dx.doi.org/10.1016/j.rse.2019.03.028 https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/plain |
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crelsevierbv:10.1016/j.rse.2019.03.028 2024-05-19T07:49:36+00:00 A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems Yang, Wei Kobayashi, Hideki Wang, Cong Shen, Miaogen Chen, Jin Matsushita, Bunkei Tang, Yanhong Kim, Yongwon Bret-Harte, M. Syndonia Zona, Donatella Oechel, Walter Kondoh, Akihiko JAXA JSPS Top-Notch Young Talents Program of China National Research Foundation of Korea KOPRI 2019 http://dx.doi.org/10.1016/j.rse.2019.03.028 https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Remote Sensing of Environment volume 228, page 31-44 ISSN 0034-4257 Computers in Earth Sciences Geology Soil Science journal-article 2019 crelsevierbv https://doi.org/10.1016/j.rse.2019.03.028 2024-04-22T06:52:06Z Article in Journal/Newspaper Tundra ScienceDirect (Elsevier) Remote Sensing of Environment 228 31 44 |
institution |
Open Polar |
collection |
ScienceDirect (Elsevier) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Computers in Earth Sciences Geology Soil Science |
spellingShingle |
Computers in Earth Sciences Geology Soil Science Yang, Wei Kobayashi, Hideki Wang, Cong Shen, Miaogen Chen, Jin Matsushita, Bunkei Tang, Yanhong Kim, Yongwon Bret-Harte, M. Syndonia Zona, Donatella Oechel, Walter Kondoh, Akihiko A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
topic_facet |
Computers in Earth Sciences Geology Soil Science |
author2 |
JAXA JSPS Top-Notch Young Talents Program of China National Research Foundation of Korea KOPRI |
format |
Article in Journal/Newspaper |
author |
Yang, Wei Kobayashi, Hideki Wang, Cong Shen, Miaogen Chen, Jin Matsushita, Bunkei Tang, Yanhong Kim, Yongwon Bret-Harte, M. Syndonia Zona, Donatella Oechel, Walter Kondoh, Akihiko |
author_facet |
Yang, Wei Kobayashi, Hideki Wang, Cong Shen, Miaogen Chen, Jin Matsushita, Bunkei Tang, Yanhong Kim, Yongwon Bret-Harte, M. Syndonia Zona, Donatella Oechel, Walter Kondoh, Akihiko |
author_sort |
Yang, Wei |
title |
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
title_short |
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
title_full |
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
title_fullStr |
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
title_full_unstemmed |
A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
title_sort |
semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems |
publisher |
Elsevier BV |
publishDate |
2019 |
url |
http://dx.doi.org/10.1016/j.rse.2019.03.028 https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S003442571930121X?httpAccept=text/plain |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Remote Sensing of Environment volume 228, page 31-44 ISSN 0034-4257 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ |
op_doi |
https://doi.org/10.1016/j.rse.2019.03.028 |
container_title |
Remote Sensing of Environment |
container_volume |
228 |
container_start_page |
31 |
op_container_end_page |
44 |
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1799468121033015296 |