Awesome

phenofit-examples

A state-of-the-art remote sensing vegetation phenology extraction package: phenofit V3.0

TODO

rm sp, and turn to terra
write an interface for Python xrray

I am a beginner user of Python. So, it is a long-term and tough task for me. Welcome contributions of Python users.

Illustration

Table 1. Illustration of phenofit examples.

Path	Description	INPUT
`multiGS_MODIS_Henan`	Spatial Application: Henan Province	MOD13A2 EVI, 1km
`multiGS_Sentinel2_KongYing`	Spatial Application: KongYing (a small village in Henan)	Sentinel-2 EVI, 10m
`paper-phenofit`	site-scale: CA-NS6, the location of one flux site	MOD13A1 EVI, 500m
`PhenoCam`	site-scale: PhenoCam bartlett2009	`gcc`

Spatial Application: scripts for preparing Input Data on the GEE

MOD13A2 EVI: https://code.earthengine.google.com/350aed10705fd98056a4b8c355a1a825
Sentinel-2 EVI: https://code.earthengine.google.com/c9d04866f70a19c4e1cf8588af7aedc5, multiGS_Sentinel2_KongYing\GEE_download_sentinel2_kong.js

All relevant data has been uploaded to Baidu Netdisk: https://pan.baidu.com/s/1w6d4VHwg9ciwyIZq2eZ1HQ?pwd=kong.

Installation

The following packages are required:

library(remotes)

install_github("eco-hydro/phenofit")
install_github("rpkgs/Ipaper")
install_github("rpkgs/sf.extra")
install_github("rpkgs/lattice.layers")

References

[1] Kong, D., McVicar, T. R., Xiao, M., Zhang, Y., Peña-Arancibia, J. L., Filippa, G., Xie, Y., Gu, X. (2022). phenofit: An R package for extracting vegetation phenology from time series remote sensing. Methods in Ecology and Evolution, 13, 1508-1527. https://doi.org/10.1111/2041-210X.13870

[2] Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. https://doi.org/10.1029/2020JG005636

[3] Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13–24.

[4] Zhang, Q., Kong, D., Shi, P., Singh, V.P., Sun, P., 2018. Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013). Agric. For. Meteorol. 248, 408–417. https://doi.org/10.1016/j.agrformet.2017.10.026

Acknowledgements

Keep in mind that this repository is released under a GPL2 license, which permits commercial use but requires that the source code (of derivatives) is always open even if hosted as a web service.