Comparison of Grassland Phenology Derived from MODIS Satellite and PhenoCam Near-Surface Remote Sensing in North America-Reference-Cited by-同舟云学术

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Comparison of Grassland Phenology Derived from MODIS Satellite and PhenoCam Near-Surface Remote Sensing in North America

Published:2019-09-03 Issue:5 Volume:45 Page:707-722
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Cui Tengfei¹,Martz Lawrence¹,Lamb Eric G.²^ORCID,Zhao Liang³,Guo Xulin¹

Affiliation:

1. Department of Geography and Planning, University of Saskatchewan, Saskatoon S7N 5C8, Canada;

2. Department of Plant Sciences, University of Saskatchewan, Saskatoon S7N 5A8, Canada;

3. Department of Geoexploration Science and Technology, Jilin University, Changchun 130026, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1674643

Reference59 articles.

1. An estimation of the optimum temporal resolution for monitoring vegetation condition on a nationwide scale using MODIS/Terra data

2. Spring phenology trends in Alberta, Canada: links to ocean temperature

3. Plant phenology networks of citizen scientists: recommendations from two decades of experience in Canada

4. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data

5. Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem

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1. Mapping forest phenological shift in Nilgiri Biosphere Reserve, Western Ghats: Response to climate change;Remote Sensing Applications: Society and Environment;2024-11

2. Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production;Ecological Indicators;2024-09

3. Informing grassland ecosystem modeling with in-situ and remote sensing observations;2024-07-02

4. Ground-Based NDVI Network: Early Validation Practice with Sentinel-2 in South Korea;Sensors;2024-03-15

5. Floating in the air: forecasting allergenic pollen concentration for managing urban public health;International Journal of Digital Earth;2024-01-23

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