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Title: Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest

Abstract

Satellite observations of Amazon forests show seasonal and inter-annual variations, but the underlying biological processes remain debated.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [6];  [7];  [8];  [9];  [10];  [4];  [10];  [11];  [4];  [6];  [8]
  1. Univ. of Arizona, Tucson, AZ (United States); Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Japan Agency for Marine-Earth Science and Technology, Kanagawa Prefecture (Japan)
  3. Michigan State Univ., East Lansing, MI (United States)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States)
  5. Univ. of Illinois at Urbana Champaign, Urbana, IL (United States)
  6. Univ. of Technology Sydney, Ultimo, NSW (Australia)
  7. Chiba Univ., Chiba (Japan)
  8. Univ. of Arizona, Tucson, AZ (United States)
  9. Univ. of Hawaii, Honolulu, HI (United States)
  10. Northern Arizona Univ., Flagstaff, AZ (United States)
  11. Brazil's National Institute for Amazon Research (INPA), Manaus (Brazil)
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1413960
Alternate Identifier(s):
OSTI ID: 1419694
Report Number(s):
BNL-114821-2017-JA
Journal ID: ISSN 0028-646X; R&D Project: 2019‐BNL-EE630EECA-Budg; KP1701000
Grant/Contract Number:
SC0012704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
New Phytologist
Additional Journal Information:
Journal Volume: 217; Journal Issue: 4; Journal ID: ISSN 0028-646X
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; leaf optics; canopy phenology; leaf age; LiDAR canopy structure; PROSAIL; FLiES; WorldView-2; MODIS EVI

Citation Formats

Wu, Jin, Kobayashi, Hideki, Stark, Scott C., Meng, Ran, Guan, Kaiyu, Tran, Ngoc Nguyen, Gao, Sicong, Yang, Wei, Restrepo-Coupe, Natalia, Miura, Tomoaki, Oliviera, Raimundo Cosme, Rogers, Alistair, Dye, Dennis G., Nelson, Bruce W., Serbin, Shawn P., Huete, Alfredo R., and Saleska, Scott R.. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. United States: N. p., 2017. Web. doi:10.1111/nph.14939.
Wu, Jin, Kobayashi, Hideki, Stark, Scott C., Meng, Ran, Guan, Kaiyu, Tran, Ngoc Nguyen, Gao, Sicong, Yang, Wei, Restrepo-Coupe, Natalia, Miura, Tomoaki, Oliviera, Raimundo Cosme, Rogers, Alistair, Dye, Dennis G., Nelson, Bruce W., Serbin, Shawn P., Huete, Alfredo R., & Saleska, Scott R.. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. United States. doi:10.1111/nph.14939.
Wu, Jin, Kobayashi, Hideki, Stark, Scott C., Meng, Ran, Guan, Kaiyu, Tran, Ngoc Nguyen, Gao, Sicong, Yang, Wei, Restrepo-Coupe, Natalia, Miura, Tomoaki, Oliviera, Raimundo Cosme, Rogers, Alistair, Dye, Dennis G., Nelson, Bruce W., Serbin, Shawn P., Huete, Alfredo R., and Saleska, Scott R.. Sat . "Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest". United States. doi:10.1111/nph.14939.
@article{osti_1413960,
title = {Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest},
author = {Wu, Jin and Kobayashi, Hideki and Stark, Scott C. and Meng, Ran and Guan, Kaiyu and Tran, Ngoc Nguyen and Gao, Sicong and Yang, Wei and Restrepo-Coupe, Natalia and Miura, Tomoaki and Oliviera, Raimundo Cosme and Rogers, Alistair and Dye, Dennis G. and Nelson, Bruce W. and Serbin, Shawn P. and Huete, Alfredo R. and Saleska, Scott R.},
abstractNote = {Satellite observations of Amazon forests show seasonal and inter-annual variations, but the underlying biological processes remain debated.},
doi = {10.1111/nph.14939},
journal = {New Phytologist},
number = 4,
volume = 217,
place = {United States},
year = {Sat Dec 23 00:00:00 EST 2017},
month = {Sat Dec 23 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 23, 2018
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