All Publications

Loboda, T., Chen, D., Caraballo-Vega, J., Bredder, A., & Orland, E. (2027). Wildfires in Alaska: Insights into fire occurrence, postfire impacts, and air quality implications. In C. Quintano, A. Fernández-Manso, J. M. Fernández-Guisuraga, & L. Calvo (Eds.), Advances in remote sensing for forest fire management (pp. 287–309). Elsevier. https://doi.org/10.1016/B978-0-443-41692-7.00015-9

Tian, Y., Gong, W., Li, S., Li, M., & Zhao, F. (2026). High-resolution monthly estimation of disturbance-induced tropical forest carbon flux in the state of Rondônia, Brazilian Amazon. Forest Ecosystems, 13, Article 100534. https://doi.org/10.1016/j.fecs.2026.100534

Zhang, P., Yu, J., Wang, Z., Wang, R., & Xie, Y. (2026). Discovering coincident data across satellites in dynamic Arctic environments: Exploring scalable strategies for spatio-temporal joins on Apache Sedona. International Journal of Geographical Information Science, 1–37. https://doi.org/10.1080/13658816.2026.2718485

He, C., Zhang, L. N., Leung, L. R., Richter, J. H., Bassett, C., Ferguson, C. R., Kumar, S., Olsen, M. A., Orr, M., Wang, H., Xue, Y., Attada, R., Berner, J., Draper, C., El Afandi, G., Fowler, M. D., Gerken, T., El Gharamti, M., Hu, A., Huang, M., … Zhang, Y. (2026). Harnessing land–atmosphere interactions to enhance subseasonal-to-seasonal predictability. Bulletin of the American Meteorological Society. Advance online publication. https://doi.org/10.1175/BAMS-D-25-0255.1

Lal, P., Armston, J., Bhogapurapu, N., Urbazaev, M., Siqueira, P., Wessels, K. J., Dubayah, R., & Duncanson, L. (2026). Multifrequency InSAR canopy height improves generalization of savanna biomass models. IEEE Geoscience and Remote Sensing Letters, 23, Article 2505705. https://doi.org/10.1109/LGRS.2026.3718772

Drozd, S., Kussul, N., Shelestov, A., & Skakun, S. (2026). Multi-agent explainable AI framework for forest disturbance analysis and biomass recovery modeling. In Explainable AI in Space (pp. 61–81). Communications in Computer and Information Science (Vol. 3107). Springer.

Guan, K., Qin, R., Ma, Z., Zhao, L., Liu, L., Wang, S., Keenan, T. F., Jia, M., Sihi, D., Potash, E., Asseng, S., Tang, J., Xu, X., Boomer, K., Peng, B., Jin, Z., Hoffman, F. M., Ogle, S., Coppess, J., Whitcraft, A., & Runkle, B. R. K. (2026). Multi-model ensembles in ecosystem modeling: Challenges and best practices for decision-making. Global Change Biology, 32(8), Article e70987. https://doi.org/10.1111/gcb.70987

Qi, W., & Baiocchi, G. (2026). When healthier eating emits more: Socioeconomic divergence in U.S. diet sustainability. Journal of Cleaner Production, 575, Article 149143. https://doi.org/10.1016/j.jclepro.2026.149143

Xu, Y., Zhou, Q., Guan, K., Wang, S., Hively, W. D., Jennewein, J., Thieme, A., Mirsky, S. B., & Chen, Z. (2026). The impacts of cover crop biomass on satellite-based detectability of cover crops in Maryland. International Journal of Applied Earth Observation and Geoinformation, Article 105453. https://doi.org/10.1016/j.jag.2026.105453

Chang, A., Zhuang, Y., Fu, R., Worden, J. R., Gu, Y., Costa, M. H., Guan, K., Zhang, J., Song, X.-P., Jiang, J. H. (2026). Rapid increases in heat-driven extreme moisture demand in the Southern Amazon. Geophysical Research Letters, 53, e2026GL123139. https://doi.org/10.1029/2026GL123139

Pavlovic, N. R., Malings, C. A., Huang, M., He, Y., Diez, S., Bratburd, J., & Pant, P. (2026). Satellite-derived air quality data can effectively support health needs when use cases, Earth observing capabilities, and capacities align. Journal of the Air & Waste Management Association, 1–27. https://doi.org/10.1080/10962247.2026.2698602

Andreassen, L. M., Askjaer, T. G., Ballinger, T. J., Berner, L. T., Bernhard, G. H., Bhatt, U. S., Bigalke, S., Bjerke, J. W., Bliss, A., Box, J. E., Brettschneider, B., Burgess, D., Butler, A. H., Christiansen, H. H., Crawford, A., Decharme, B., Derksen, C., Divine, D., Druckenmiller, M. L., Elias, C., Epstein, H. E., Farrell, S., … Veasey, S. W. (2026). The Arctic. Bulletin of the American Meteorological Society, 107(8). https://doi.org/10.1175/BAMS-D-26-0123.1