Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology

By T. Motohka, K. Nasahara, H. Oguma, S. Tsuchida. Remote Sensing, 2010

552 citations recorded by the source corpus.

We evaluated the use of the Green-Red Vegetation Index (GRVI) as a phenological indicator based on multiyear stand-level observations of spectral reflectance and phenology at several representative ecosystems in Japan. The results showed the relationships between GRVI values and the seasonal change of vegetation and ground surface with high temporal resolution. We found that GRVI has the following advantages as a phenological indicator: (1) “GRVI = 0” can be a site-independent single threshold fordetection of the early phase of leaf green-up and the middle phase of autumn coloring, and (2) GRVI can show a distinct response to subtle disturbance and the difference of ecosystem types.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/822a20da698b6c62d158bdb9b3e99b9ecb36d6ba

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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

In Global and Planetary Change

1. Shilong Piao
2. C. Körner
3. Xi Yang
4. Hiroyuki Muraoka
5. Miaogen Shen
6. Jianwu Tang
7. G. Hoch
8. Henrik Hartmann

Citations in the corpus

• Emerging opportunities and challenges in phenology: a review (2016, methodology): “…(http:// phenocam.sr.unh.edu/webcam/), “European Phenology Network (EPN),” and “Phenological Eyes Network (PEN)” (http://www.pheno-eye.org/), were established in multiple sites across forests, grasslands, and paddy fields (Richardson et al. 2009, Motohka et al. 2010, Nasahara and Nagai 2015).”