BACI: 2015-2019

TOWARDS A BIOSPHERE ATMOSPHERE CHANGE INDEX

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Earth Observation | Biodiversity Patterns | Essential Ecosystem Variables | In-situ Observations | Regional Validation | Biosphere Atmosphere Change Index | Socioecological Research | Machine Learning for Environmental Data

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Regional Validation

1Erb, K., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C. D., Spiotta, E. M., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., Dolman, A. J. (2017). Land management: data availability and process understanding for global change studies. Global Change Biology, 23(2), 512-533. doi:10.1111/gcb.13443.
2Erb, K.-H., Fetzel, T., Plutzar, C., Kastner, T., Lauk, C., Mayer, A., Niedertscheider, M., Körner, C., Haberl, H. (2016). Biomass turnover time in terrestrial ecosystems halved by land use. Nature geoscience, 9, 674-678. doi:10.1038/ngeo2782.
3Hamunyela, E., Reiche, J., Verbesselt, J., Herold, M. (2017). Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series. Remote Sensing, 9(6): 515. doi:10.3390/rs9060515.
4Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., Rudbeck Jepsen, M., Kuemmerle, T., Meyfroidt, P., Mitchard, E. T. A., Reiche, J., Ryan, C. M., Waske, B. (2016). A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring. Remote Sensing, 8(1): 70. doi:10.3390/rs8010070.
5Niedertscheider, M., Tasser, E., Patek, M., Ruedisser, J., Tappeiner, U., Erb, K.-H. (2017). Influence of land-use intensification on vegetation C-stocks in an alpine valley from 1865 to 2003. Ecosystems, 20(8), 1391-1406. doi:10.1007/s10021-017-0120-5.
6Reiche, J., de Bruin, S., Hoekman, D., Verbesselt, J., Herold, M. (2015). A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing, 7(5), 4973-4996. doi:10.3390/rs70504973.
7Reiche, J., Hamunyela, E., Verbesselt, J., Hoekman, D., Herold, M. (2018). Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. Remote Sensing of Environment, 204, 147-161. doi:10.1016/j.rse.2017.10.034.
8Reiche, J., Lucas, R., Mitchell, A. L., Verbesselt, J., Hoekman, D. H., Haarpaintner, J., Kellndorfer, J. M., Rosenqvist, A., Lehmann, E. A., Woodcock, C. E., Seifert, F. M., Herold, M. (2016). Combining satellite data for better tropical forest monitoring. Nature Climate Change, 6, 120-122. doi:10.1038/nclimate2919.
9Reiche, J., Verhoeven, R., Verbesselt, J., Hamunyela, E., Wielaard, N., Herold, M. (2018). Characterizing tropical forest cover loss using dense sentinel-1 data and active fire alerts. Remote Sensing, 10(5): 777. doi:10.3390/rs10050777.
10Sippel, S., Zscheischler, J., Heimann, M., Otto, F. E., Peters, J., Mahecha, M. D. (2015). Quantifying changes in climate variability and extremes: Pitfalls and their overcoming. Geophysical Research Letters, 42(22), 9990-9998. doi:10.1002/2015GL066307.
11Tramontana, G., Jung, M., Schwalm, C. R., Ichii, K., Camps-Valls, G., Ráduly, B., Reichstein, M., Arain, M. A., Cescatti, A., Kiely, G., Merbold, L., Serrano-Ortiz, P., Sickert, S., Wolf, S., Papale, D. (2016). Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms. Biogeosciences, 13(14), 4291-4313. doi:10.5194/bg-13-4291-2016.
12Urban, M., Berger, C., Mudau, T. E., Heckel, K., Truckenbrodt, J., Odipo, V. O., Smit, I. P. J., Schmullius, C. (2018). Surface moisture and vegetation cover analysis for drought monitoring in the southern Krüger National Park using sentinel-1, sentinel-2, and landsat-8. Remote Sensing, 10: 1482. doi:10.3390/rs10091482.
13Vaglio Laurin, G., Belli, C., Bianconi, R., Laranci, P., Papale, D. (2018). Early mapping of industrial tomato in Central and Southern Italy with Sentinel 2, aerial and RapidEye additional data. Journal of Agricultural Science, 156(3), 396-407. doi:10.1017/S0021859618000400.
14Vaglio Laurin, G., Hawthorne, W. D., Chiti, T., Di Paola, A., Cazzolla Gatti, R., Marconi, S., Noce, S., Grieco, E., Pirotti, F., Valentini, R. (2016). Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana. iForest - Biogeosciences and Forestry, 9, 354-362. doi:10.3832/ifor1779-008.
15Vittucci, C., Ferrazzoli, P., Kerr, Y., Richaume, P., Guerriero, L., Vaglio Laurin, G. (2018). Spatial and temporal properties of SMOS retrieval over tropical forests. In IEEE International Geoscience and Remote Sensing Symposium 2018 (pp. 2153-2156).
16Zscheischler, J., Mahecha, M. D., Avitabile, V., Calle, L., Carvalhais, N., Ciais, P., Gans, F., Gruber, N., Hartmann, J., Herold, M., Ichii, K., Jung, M., Landschützer, P., Laruelle, G. G., Lauerwald, R., Papale, D., Peylin, P., Poulter, B., Ray, D., Regnier, P., Rödenbeck, C., Roman-Cuesta, R. M., Schwalm, C., Tramontana, G., Tyukavina, A. T., Valentini, R., van der Werf, G., West, T. O., Wolf, J. E., Reichstein, M. (2017). Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations. Biogeosciences, 14(15), 3685-3703. doi:10.5194/bg-14-3685-2017.