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Most Recently Published 20 CMS Citations:

Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., Karabchuk, D., Yarotskiy, V. 2023. Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Environment. 4(1). doi: 10.1038/s43247-023-01099-4 ( Hurtt (CMS 2020) )
Chen, S., Woodcock, C. E., Saphangthong, T., Olofsson, P. 2023. Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos. Environmental Research Letters. 18(11), 114012. doi: 10.1088/1748-9326/acffdd ( Woodcock (CMS 2018) )  [quad chart]
Emick, E., Babcock, C., White, G. W., Hudak, A. T., Domke, G. M., Finley, A. O. 2023. An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps. Remote Sensing of Environment. 295, 113678. doi: 10.1016/j.rse.2023.113678 ( Hudak (CMS 2018) )  [quad chart]
McNicol, G., Fluet-Chouinard, E., Ouyang, Z., Knox, S., Zhang, Z., Aalto, T., Bansal, S., Chang, K., Chen, M., Delwiche, K., Feron, S., Goeckede, M., Liu, J., Malhotra, A., Melton, J. R., Riley, W., Vargas, R., Yuan, K., Ying, Q., Zhu, Q., Alekseychik, P., Aurela, M., Billesbach, D. P., Campbell, D. I., Chen, J., Chu, H., Desai, A. R., Euskirchen, E., Goodrich, J., Griffis, T., Helbig, M., Hirano, T., Iwata, H., Jurasinski, G., King, J., Koebsch, F., Kolka, R., Krauss, K., Lohila, A., Mammarella, I., Nilson, M., Noormets, A., Oechel, W., Peichl, M., Sachs, T., Sakabe, A., Schulze, C., Sonnentag, O., Sullivan, R. C., Tuittila, E., Ueyama, M., Vesala, T., Ward, E., Wille, C., Wong, G. X., Zona, D., Windham-Myers, L., Poulter, B., Jackson, R. B. 2023. Upscaling Wetland Methane Emissions From the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison. AGU Advances. 4(5). doi: 10.1029/2023AV000956 ( Zhu (CMS 2020)  , 1 citations )  [quad chart]
Shen, L., Jacob, D. J., Gautam, R., Omara, M., Scarpelli, T. R., Lorente, A., Zavala-Araiza, D., Lu, X., Chen, Z., Lin, J. 2023. National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations. Nature Communications. 14(1). doi: 10.1038/s41467-023-40671-6 ( Jacob (CMS 2020) )
Balasus, N., Jacob, D. J., Lorente, A., Maasakkers, J. D., Parker, R. J., Boesch, H., Chen, Z., Kelp, M. M., Nesser, H., Varon, D. J. 2023. A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases. Atmospheric Measurement Techniques. 16(16), 3787-3807. doi: 10.5194/amt-16-3787-2023 ( Jacob (CMS 2020) )
Brown, M. E., Mitchell, C., Halabisky, M., Gustafson, B., Gomes, H. D. R., Goes, J. I., Zhang, X., Campbell, A. D., Poulter, B. 2023. Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities. Environmental Research Letters. 18(8), 084005. doi: 10.1088/1748-9326/ace208 ( Mitchell (CMS 2018)  Poulter (CMS 2018)   )  [quad chart]
Varon, D. J., Jacob, D. J., Hmiel, B., Gautam, R., Lyon, D. R., Omara, M., Sulprizio, M., Shen, L., Pendergrass, D., Nesser, H., Qu, Z., Barkley, Z. R., Miles, N. L., Richardson, S. J., Davis, K. J., Pandey, S., Lu, X., Lorente, A., Borsdorff, T., Maasakkers, J. D., Aben, I. 2023. Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations. Atmospheric Chemistry and Physics. 23(13), 7503-7520. doi: 10.5194/acp-23-7503-2023 ( Jacob (CMS 2020), 3 citations )
Gordon, D., Reuland, F., Jacob, D. J., Worden, J. R., Shindell, D., Dyson, M. 2023. Evaluating net life-cycle greenhouse gas emissions intensities from gas and coal at varying methane leakage rates. Environmental Research Letters. 18(8), 084008. doi: 10.1088/1748-9326/ace3db ( Jacob (CMS 2020) )
Poulter, B., Adams-Metayer, F. M., Amaral, C., Barenblitt, A., Campbell, A., Charles, S. P., Roman-Cuesta, R. M., D'Ascanio, R., Delaria, E. R., Doughty, C., Fatoyinbo, T., Gewirtzman, J., Hanisco, T. F., Hull, M., Kawa, S. R., Hannun, R., Lagomasino, D., Lait, L., Malone, S. L., Newman, P. A., Raymond, P., Rosentreter, J. A., Thomas, N., Vaughn, D., Wolfe, G. M., Xiong, L., Ying, Q., Zhang, Z. 2023. Multi-scale observations of mangrove blue carbon ecosystem fluxes: The NASA Carbon Monitoring System BlueFlux field campaign. Environmental Research Letters. 18(7), 075009. doi: 10.1088/1748-9326/acdae6 ( Poulter (CMS 2020)  , 1 citations )  [quad chart]
Sun, W., Luo, X., Fang, Y., Shiga, Y. P., Zhang, Y., Fisher, J. B., Keenan, T. F., Michalak, A. M. 2023. Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations. Nature Ecology & Evolution. doi: 10.1038/s41559-023-02093-x ( Andrews (CMS 2016) )  [quad chart]
Kennedy, J., Hurtt, G. C., Liang, X., Chini, L., Ma, L. 2023. Changing cropland in changing climates: quantifying two decades of global cropland changes. Environmental Research Letters. 18(6), 064010. doi: 10.1088/1748-9326/acca97 ( Hurtt (CMS 2020) )  [quad chart]
Chen, Z., Jacob, D. J., Gautam, R., Omara, M., Stavins, R. N., Stowe, R. C., Nesser, H., Sulprizio, M. P., Lorente, A., Varon, D. J., Lu, X., Shen, L., Qu, Z., Pendergrass, D. C., Hancock, S. 2023. Satellite quantification of methane emissions and oil-gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action. Atmospheric Chemistry and Physics. 23(10), 5945-5967. doi: 10.5194/acp-23-5945-2023 ( Jacob (CMS 2020), 4 citations )
Ma, L., Hurtt, G., Tang, H., Lamb, R., Lister, A., Chini, L., Dubayah, R., Armston, J., Campbell, E., Duncanson, L., Healey, S., O'Neil-Dunne, J., Ott, L., Poulter, B., Shen, Q. 2023. Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biology. doi: 10.1111/gcb.16682 ( Hurtt (CMS 2020), 2 citations )  [quad chart]
Lu, X., Jacob, D. J., Zhang, Y., Shen, L., Sulprizio, M. P., Maasakkers, J. D., Varon, D. J., Qu, Z., Chen, Z., Hmiel, B., Parker, R. J., Boesch, H., Wang, H., He, C., Fan, S. 2023. Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics. Proceedings of the National Academy of Sciences. 120(17). doi: 10.1073/pnas.2217900120 ( Jacob (CMS 2020), 5 citations )  [quad chart]
Sun, Y., Gu, L., Wen, J., van der Tol, C., Porcar-Castell, A., Joiner, J., Chang, C. Y., Magney, T., Wang, L., Hu, L., Rascher, U., Zarco-Tejada, P., Barrett, C. B., Lai, J., Han, J., Luo, Z. 2023. From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I--Harnessing theory. Global Change Biology. 29(11), 2926-2952. doi: 10.1111/gcb.16634 ( Sun (CMS 2020)  , 7 citations )
Sun, Y., Wen, J., Gu, L., Joiner, J., Chang, C. Y., van der Tol, C., Porcar-Castell, A., Magney, T., Wang, L., Hu, L., Rascher, U., Zarco-Tejada, P., Barrett, C. B., Lai, J., Han, J., Luo, Z. 2023. From remotely-sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II--Harnessing data. Global Change Biology. 29(11), 2893-2925. doi: 10.1111/gcb.16646 ( Sun (CMS 2020)  , 4 citations )
Zhang, Z., Poulter, B., Feldman, A. F., Ying, Q., Ciais, P., Peng, S., Li, X. 2023. Recent intensification of wetland methane feedback. Nature Climate Change. doi: 10.1038/s41558-023-01629-0 ( Poulter (CMS 2020)  , 14 citations )
Stahl, A. T., Andrus, R., Hicke, J. A., Hudak, A. T., Bright, B. C., Meddens, A. J. 2023. Automated attribution of forest disturbance types from remote sensing data: A synthesis. Remote Sensing of Environment. 285, 113416. doi: 10.1016/j.rse.2022.113416 ( Hudak (CMS 2018), 5 citations )
Olaya, P., Kennedy, D., Llamas, R., Valera, L., Vargas, R., Lofstead, J., Taufer, M. 2023. Building Trust in Earth Science Findings through Data Traceability and Results Explainability. IEEE Transactions on Parallel and Distributed Systems. 34(2), 704-717. doi: 10.1109/TPDS.2022.3220539 ( Vargas (CMS 2020), 5 citations )  [quad chart]