An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data

By Ruyin Cao, Jin Chen, Miaogen Shen, Yanhong Tang. 2015

130 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/0ed199fc6a9245ef8b74b11833e24fcdbc6ae1c9

How researchers see this paper

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In Ecological Modeling

1. C. Körner
2. John‐Arvid Grytnes
3. C. McCain
4. Olivier Dangles
5. Fabien Anthelme

In Ecology

1. C. Körner
2. Xi Yang
3. Shilong Piao
4. Hiroyuki Muraoka
5. Jianwu Tang
6. S. Thackeray

Citations in the corpus

• Emerging opportunities and challenges in phenology: a review (2016, background): “…in the satellite- derived (statistical) phenology data (Botta et al. 2000, Picard et al. 2005, Cong et al. 2012), particularly for the nonforested vegetation at the middle and high latitude (Cao et al. 2015) and the tropical forest of which the phenology is difficult to capture by satellite data.”