## 7 Conclusions  
Ground-based phenological observations, as well as PhenoCams, are mainly concentrated in developed and temperate regions, leading to a paucity of observations in the global south, especially across tropical forests. The expansion of long-term forest monitoring, especially the monitoring of phenology, is necessary for improving our understanding of the impact of global change on forest ecosystems globally. Ground-based phenological observations are constrained by a number of limitations, including high recurring costs. PhenoCam represents a cost-effective, efficient, and reliable alternative for ground-based phenological observations. We propose setting up a PhenoCam network covering different forest types in India. This network not only helps in filling a crucial data gap in the South Asian region, but it also provides a template for the expansion of the PhenoCam network in similar geographies across the tropics. The establishment of an Indian PhenoCam network has the potential to support forest management in India. By providing continuous and accurate data on phenology, health indicators, biomass estimation, and gross primary productivity, this network can enhance our understanding of ecosystem dynamics and conservation strategies and enable informed decision making. Through the integration of PhenoCam data with Dynamic Global Vegetation Models, we can improve future predictions at a local level and refine management strategies in response to the impacts of climate change on forest ecosystems. The implementation of PhenoCam technology could be a valuable addition to India's forest management efforts, addressing the limitations of current monitoring approaches and contributing to the sustainable management of forest resources. The PhenoCam network has already been successfully implemented in other countries, and it has shown promise in improving our understanding of forest ecosystems and their response to climate change. In India, the network could be particularly valuable for monitoring the impact of heatwaves and droughts on ecosystems, which are becoming increasingly common in the country. By providing detailed insights into how forests adapt to these challenges, this network could help us prioritize conservation efforts and ensure the long-term sustainability of India's forests. The following supporting information can be downloaded at: [[https://www.mdpi.com/article/10.3390/rs15245642/s1](https://www.mdpi.com/article/10.3390/rs15245642/s1)]([https://www.mdpi.com/article/10.3390/rs15245642/s1](https://www.mdpi.com/article/10.3390/rs15245642/s1)), Table S1: PhenoCam studies world-wide [92; 93; 94; 95; 96; 97; 98; 99; 100; 101; 102; 103]. Table S2: PhenoCam networks worldwide. Table S3: Indian Ground based forest phenology monitoring sites [134; 135; 136; 137; 138; 139; 140; 141; 142; 143; 144; 145; 146]. **Author Contributions:** [PERSON], [PERSON], [PERSON] and [PERSON] conceptualized the idea of the review. [PERSON] collected the data and carried out the systematic review with the help from [PERSON] and [PERSON]. [PERSON] and [PERSON] wrote the draft manuscript. [PERSON], [PERSON] and [PERSON] reviewed multiple drafts and helped shape the final version. All authors have read and agreed to the published version of the manuscript. **Funding:** We acknowledge the funding support from ISRO's Geosphere Biosphere Programme (IGBP) for collaborative research. **Data Availability Statement:** The data presented in this study are available on request from the corresponding author. **Conflicts of Interest:** The authors declare no conflict of interest. * _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery. _Remote Sens. Environ._**2020**, _240_, 111685. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Land surface phenology from VEGFATION and PROBA-V data. _Assess. Over Dectlous For. Int. J. Appl. Earth Obs. Geoinr._**2020**, _84_, 101974.