Dmitry Shchepashchenko profile picture

Dmitry Shchepashchenko

Senior Research Scholar

Novel Data Ecosystems for Sustainability Research Group

Advancing Systems Analysis Program

Senior Research Scholar

Agriculture, Forestry, and Ecosystem Services Research Group

Biodiversity and Natural Resources Program

Biography

Dmitry Shchepashchenko is a senior researcher jointly associated with the Agriculture, Forestry, and Ecosystem Services (AFE) Research Group in the IIASA Biodiversity and Natural Resources (BNR) Program and the Novel Data Ecosystems for Sustainability (NODES) Research Group in the Advancing Systems Analysis (ASA) Program.

Shchepashchenko has more than 30 years' research experience in the field of forest ecology, forest management, and remote sensing. He actively participates in international research networks, including the International Boreal Forest Research Association (IBFRA) and the International Union of Forest Research Organizations (IUFRO). His current projects include work on the Forest Observation System's permanent forest plots for validation and calibration of remote sensing; the validation of forest biomass maps for the European Space Agency's Climate Change Initiative Biomass Project; citizen science and forest modeling under climate change in the Alpine region as part of the ALPTREES Project; and forest carbon accounting and reporting for Russia under the IMGGAR Project. Recently completed projects include NatureMap, where he was involved with aspects of forest management and forest biomass mapping globally; and the RESTORE+ Project, which involved addressing landscape restoration on degraded land in Indonesia and Brazil.

Shchepashchenko graduated with a degree in forestry from the Moscow State Forest University (MSFU). He received a PhD in soil science from the Dokuchaev Soil Science Institute in Moscow and was awarded a Habilitation degree in ecology from MSFU. Shchepashchenko is a visiting researcher at the Siberian Federal University, Russia.




Last update: 23 DEC 2021

Publications

Lesiv, M. , Shchepashchenko, D. , Buchhorn, M., See, L. , Dürauer, M., Georgieva, I., Jung, M., Hofhansl, F. , Schulze, K., Bilous, A., Blyshchyk, V., Mukhortova, L., Brenes, C., Krivobokov, L., Ntie, S., Tsogt, K., Pietsch, S. , Tikhonova, E., Kim, M., Di Fulvio, F. , Su, Y.-F., Zadorozhniuk, R., Sirbu, F., Panging, K., Bilous, S., Kovalevskii, S., Kraxner, F., Rabia, A.H., Vasylyshyn, R., Ahmed, R., Diachuk, P., Kovalevskyi, S., Bungnamei, K., Bordoloi, K., Churilov, A., Vasylyshyn, O., Sahariah, D., Tertyshnyi, A., Saikia, A., Malek, Å., Singha, K., Feshchenko, R., Prestele, R., Akhtar, I., Sharma, K., Domashovets, G., Spawn-Lee, S., Blyshchyk, O., Slyva, O., Ilkiv, M., Melnyk, O., Sliusarchuk, V., Karpuk, A., Terentiev, A., Bilous, V., Blyshchyk, K., Bilous, M., Bogovyk, N., Blyshchyk, I., Bartalev, S., Yatskov, M., Smets, B., Visconti, P., McCallum, I. , Obersteiner, M. , & Fritz, S. (2022). Global forest management data for 2015 at a 100 m resolution. Scientific Data 9 (1) e199. 10.1038/s41597-022-01332-3.

Cha, S., Jo, H.-W., Kim, M., Song, C., Lee, H., Park, E., Lim, J., Shchepashchenko, D. , Shvidenko, A., & Lee, W.-K. (2022). Application of deep learning algorithm for estimating stand volume in South Korea. Journal of Applied Remote Sensing 16 (02) e024503. 10.1117/1.JRS.16.024503.

Araza, A., de Bruin, S., Herold, M., Quegan, S., Labriere, N., Rodriguez-Veiga, P., Avitabile, V., Santoro, M., Mitchard, E.T.A., Ryan, C.M., Phillips, O.L., Willcock, S., Verbeeck, H., Carreiras, J., Hein, L., Schelhaas, M.-J., Pacheco-Pascagaza, A.M., da Conceição Bispo, P., Laurin, G.V., Vieilledent, G., Slik, F., Wijaya, A., Lewis, S.L., Morel, A., Liang, J., Sukhdeo, H., Shchepashchenko, D. , Cavlovic, J., Gilani, H., & Lucas, R. (2022). A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment 272 e112917. 10.1016/j.rse.2022.112917.

Choi, Y., Lim, C.-H., Krasovskiy, A. , Platov, A., Kim, Y., Chung, H.I., Kim, M., Lee, W.-K., Shvidenko, A., Kraxner, F., Shchepashchenko, D. , Biging, G.S., Chon, J., & Jeon, S.W. (2022). Can a national afforestation plan achieve simultaneous goals of biodiversity and carbon enhancement? Exploring optimal decision making using multi-spatial modeling. Biological Conservation 267 e109474. 10.1016/j.biocon.2022.109474.