## 7 Conclusions
(2016) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems. _Geosci. Instrum. Methods Data Syst._**2016**, \(5\), 417-426. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] Using digital photography to track understory phenology in mediterranean cork oak woodlands. _Remote Sens._**2021**, _13_, 776. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Vegetation phenology can be captured with digital repeat photography and linked to variability of root nutrition in _Hedysarum alpinum. Appl. Veg. Sci._**2013**, _16_, 317-324. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements. _Remote Sens._**2020**, _13_, 75. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Detection of autumn leaf phenology and color brightness from repeat photography: Accurate, robust, and sensitive indexes and modeling under unstable field observations. _Ecol. Indic._**2019**, _106_, 105482. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest. _Remote Sens. Environ._**2020**, _246_, 111865. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Mapping temperate forest phenology using tower, UAV, and terrestrial-based sensors. _Drones_**2020**, \(4\), 56. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales. _Agric. For. Meteorol._**2017**, _237-238_, 311-325. [CrossRef]
* [PERSON] et al. (2014) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Using digital camera images to analyse snowmelt and phenology of a subalpine grassland. _Agric. For. Meteorol._**2014**, _198-199_, 116-125. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]. Species-specific spring and autumn leaf phenology captured by time-lapse digital cameras. _Exosphere_**2018**, \(9\), e02089. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island. _Remote Sens. Environ._**2018**, _215_, 517-529. [CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON]; [PERSON] Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States. _Glob. Chang. Biol._**2016**, _22_, 792-805. [CrossRef] [PubMedMed]
* [PERSON] et al. (2020) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Comparison of traditional ground-based observations and digital remote sensing of phenological transitions in a floodplain forest. _Agric. For. Meteorol._**2020**, _291_, 108079. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] Assessing forest phenology: A multi-scale comparison of near-surface (UAV, spectral reflectance sensor, phenocam) and satellite (MODIS, sentinel-2) remote sensing. _Remote Sens._**2021**, _13_, 1597. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products.