The following 5 publications cited the product CMS: Forest Inventory and Biophysical Measurements, Para, Brazil, 2012-2014.
| Year | Citation |
|---|---|
| 2024 | Sothe, C., R. Mccarthy, and C.B. Anderson. 2024. An Unsupervised Approach to Build a Training Dataset for Individual Tree Crown Delineation Using Airborne Lidar and Field Observations. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. 5310-5315. https://doi.org/10.1109/IGARSS53475.2024.10642491 |
| 2019 | Tejada, G., E.B. Gorgens, F.D.B. Espirito-Santo, R.Z. Cantinho, and J.P. Ometto. 2019. Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1): https://doi.org/10.1186/s13021-019-0126-8 |
| 2018 | Cook, R.B., Y. Wei, L.A. Hook, S.K.S. Vannan, and J.J. McNelis 2018. Preserve: Protecting Data for Long-Term Use. Ecological Informatics. |
| 2018 | Petrova, I., D. Miralles, C. van Heerwaarden, and H. Wouters. 2018. Relation between Convective Rainfall Properties and Antecedent Soil Moisture Heterogeneity Conditions in North Africa. Remote Sensing. 10(6):969. https://doi.org/10.3390/rs10060969 |
| 2018 | Qu, Y., A. Shaker, C. Silva, C. Klauberg, and E. Pinage. 2018. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing. 10(6):970. https://doi.org/10.3390/rs10060970 |