Publications

2021 (26)

Balenzano, A., Mattia, F., Satalino, G., Lovergine, F.P., Palmisano, D., Peng, J., Marzahn, P., Wegmüller, U., Cartus, O., Dąbrowska-Zielińska, K., Musial, J.P., Davidson, M.W.J., Pauwels, V.R.N., Cosh, M.H., McNairn, H., Johnson, J.T., Walker, J.P., Yueh, S.H., Entekhabi, D., Kerr, Y.H., Jackson, T.J., (2021):
Sentinel-1 soil moisture at 1 km resolution: a validation study
Remote Sens. Environ. 263 , art. 112554
full text (doi)
Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, Á., Walther, S., Duveiller, G., Cescatti, A., Mahecha, M.D., Muñoz-Marí, J., García-Haro, F.J., Guanter, L., Jung, M., Gamon, J.A., Reichstein, M., Running, S.W., (2021):
A unified vegetation index for quantifying the terrestrial biosphere
Sci. Adv. 7 (9), eabc7447
full text (doi)
Cortés, J., Mahecha, M.D., Reichstein, M., Myneni, R.B., Chen, C., Brenning, A., (2021):
Where are global vegetation greening and browning trends significant?
Geophys. Res. Lett. 48 (6), e2020GL091496
full text (doi)
Crowhurst, D., Dadson, S., Peng, J., Washington, R., (2021):
Contrasting controls on Congo Basin evaporation at the two rainfall peaks
Clim. Dyn. 56 (5-6), 1609 - 1624
full text (doi)
Cuesta-Valero, F.J., García-García, A., Beltrami, H., Finnis, J., (2021):
First assessment of the earth heat inventory within CMIP5 historical simulations
Earth Syst. Dynam. 12 (2), 581 - 600
full text (doi)
Döpper, V., Panda, S., Waigl, C., Braun, M., Feilhauer, H., (2021):
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Appl. Veg. Sci. 24 (1), e12561
full text (doi)
Estupinan-Suarez, L.M., Gans, F., Brenning, A., Gutierrez–Velez, V.H., Londono, M.C., Pabon–Moreno, D.E., Poveda, G., Reichstein, M., Reu, B., Sierra, C.A., Weber, U., Mahecha, M.D., (2021):
A regional Earth System Data Lab for understanding ecosystem dynamics: An example from tropical South America
Front. Earth Sci. 9 , art. 613395
full text (doi)
Feilhauer, H., Zlinszky, A., Kania, A., Foody, G.M., Doktor, D., Lausch, A., Schmidtlein, S., (2021):
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation
Remote Sens. Ecol. Conserv. 7 (2), 292 - 305
full text (doi)
George, J.-P., Yang, W., Kobayashi, H., Biermann, T., Carrara, A., Cremonese, E., Cuntz, M., Fares, S., Gerosa, G., Grünwald, T., Hase, N., Heliasz, M., Ibrom, A., Knohl, A., Kruijt, B., Lange, H., Limousin, J.-M., Loustau, D., Lukeš, P., Marzuoli, R., Mölder, M., Montagnani, L., Neirynck, J., Peichl, M., Rebmann, C., Schmidt, M., Lopez Serrano, F.R., Soudani, K., Vincke, C., Pisek, J., (2021):
Method comparison of indirect assessments of understory leaf area index (LAI_u): A case study across the extended network of ICOS forest ecosystem sites in Europe
Ecol. Indic. 128 , art. 107841
full text (doi)
Helsen, K., Bassi, L., Feilhauer, H., Kattenborn, T., Matsushima, H., Van Cleemput, E., Somers, B., Honnay, O., (2021):
Evaluating different methods for retrieving intraspecific leaf trait variation from hyperspectral leaf reflectance
Ecol. Indic. 130 , art. 108111
full text (doi)
Hermanns, F., Pohl, F., Rebmann, C., Schulz, G., Werban, U., Lausch, A., (2021):
Inferring grassland drought stress with unsupervised learning from airborne hyperspectral VNIR imagery
Remote Sens. 13 (10), art. 1885
full text (doi)
Huang, J., Zhang, Y., Bing, H., Peng, J., Dong, F., Gao, J., Arhonditsis, G.B., (2021):
Characterizing the river water quality in China: Recent progress and on-going challenges
Water Res. 201 , art. 117309
full text (doi)
Ji, C., Heiden, U., Lakes, T., Feilhauer, H., (2021):
Are urban material gradients transferable between areas?
Int. J. Appl. Earth Obs. Geoinf. 100 , art. 102332
full text (doi)
Krich, C., Migliavacca, M., Miralles, D.G., Kraemer, G., El-Madany, T.S., Reichstein, M., Runge, J., Mahecha, M.D., (2021):
Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions
Biogeosciences 18 (7), 2379 - 2404
full text (doi)
Li, Z., Scheffler, D., Coops, N.C., Leach, N., Sachs, T., (2021):
Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site
Int. J. Appl. Earth Obs. Geoinf. 103 , art. 102502
full text (doi)
Ling, X., Huang, Y., Guo, W., Wang, Y., Chen, C., Qiu, B., Ge, J., Qin, K., Xue, Y., Peng, J., (2021):
Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China
Hydrol. Earth Syst. Sci. 25 (7), 4209 - 4229
full text (doi)
Migliavacca, M., Musavi, T., Mahecha, M.D., Nelson, J.A., Knauer, J., Baldocchi, D.D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T.A., Blanken, P.D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A.R., El-Madany, T.S., Farella, M.M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C.M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I.A., Jung, M., Kattge, J., Keenan, T.F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B.E., Liddell, M.J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D.E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R.P., Reich, P.B., Rossini, M., Rotenberg, E., Scott, R.L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I.J., Yakir, D., Zaehle, S., Reichstein, M., (2021):
The three major axes of terrestrial ecosystem function
Nature
full text (doi)
Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M.W.J., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y.H., Lovergine, F., Mahecha, M.D., Marzahn, P., Mattia, F., Musial, J.P., Preuschmann, S., Reichle, R.H., Satalino, G., Silgram, M., van Bodegom, P.M., Verhoest, N.E.C., Wagner, W., Walker, J.P., Wegmüller, U., Loew, A., (2021):
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements
Remote Sens. Environ. 252 , art. 112162
full text (doi)
Peng, J., Tanguy, M., Robinson, E.L., Pinnington, E., Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S., (2021):
Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain
Remote Sens. Environ. 264 , art. 112610
full text (doi)
Pinnington, E., Amezcua, J., Cooper, E., Dadson, S., Ellis, R., Peng, J., Robinson, E., Morrison, R., Osborne, S., Quaife, T., (2021):
Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data
Hydrol. Earth Syst. Sci. 25 (3), 1617 - 1641
full text (doi)
Pisek, J., Erb, A., Korhonen, L., Biermann, T., Carrara, A., Cremonese, E., Cuntz, M., Fares, S., Gerosa, G., Grünwald, T., Hase, N., Heliasz, M., Ibrom, A., Knohl, A., Kobler, J., Kruijt, B., Lange, H., Leppänen, L., Limousin, J.-M., Lopez Serrano, F.R., Loustau, D., Lukeš, P., Lundin, L., Marzuoli, R., Mölder, M., Montagnani, L., Neirynck, J., Peichl, M., Rebmann, C., Rubio, E., Santos-Reis, M., Schaaf, C., Schmidt, M., Simioni, G., Soudani, K., Vincke, C., (2021):
Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests
Biogeosciences 18 (2), 621 - 635
full text (doi)
Skidmore, A.K., Coops, N.C., Neinavaz, E., Ali, A., Schaepman, M.E., Paganini, M., Kissling, W.D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geizendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-Karger, F.E., Van De Kerchove, R., Lausch, A., Leitãu, P.J., Lock, M.C., Mücher, C.A., O’Connor, B., Rocchini, D., Roeoesli, C., Turner, W., Vis, J.K., Wang, T., Wegmann, M., Wingate, V., (2021):
Priority list of biodiversity metrics to observe from space
Nat. Ecol. Evol. 5 (7), 896 - 906
full text (doi)
Su, Z., Ma, Y., Chen, X., Dong, X., Du, J., Han, C., He, Y., Hofste, J.G., Li, M., Li, M., Lv, S., Ma, W., Polo, M.J., Peng, J., Qian, H., Sobrino, J., van der Velde, R., Wen, J., Wang, B., Wang, X., Yu, L., Zhang, P., Zhao, H., Zheng, H., Zheng, D., Zhong, L., Zeng, Y., (2021):
Monitoring water and energy cycles at climate scale in the Third Pole Environment (CLIMATE-TPE)
Remote Sens. 13 (18), art. 3661
full text (doi)
Wang, Y., Leng, P., Ma, J., Peng, J., (2021):
A method for downscaling satellite soil moisture based on land surface temperature and net surface shortwave radiation
IEEE Geosci. Remote Sens. Lett.
full text (doi)
Xing, Z., Fan, L., Zhao, L., De Lannoy, G., Frappart, F., Peng, J., Li, X., Zeng, J., Al-Yaari, A., Yang, K., Zhao, T., Shi, J., Wang, M., Liu, X., Hu, G., Xiao, Y., Du, E., Li, R., Qiao, Y., Shi, J., Wen, J., Ma, M., Wigneron, J.-P., (2021):
A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau
Remote Sens. Environ. 265 , art. 112666
full text (doi)
Yu, L., Leng, G., Python, A., Peng, J., (2021):
A comprehensive evaluation of latest GPM IMERG V06 early, late and final precipitation products across China
Remote Sens. 13 (6), art. 1208
full text (doi)

2020 (1)

Johnson, J.E., Laparra, V., Pérez-Suay, A., Mahecha, M.D., Camps-Valls, G., (2020):
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
PLOS One 15 (10), e0235885
full text (doi)

Contact

Head
Prof. Dr. Jian Peng
Department of Remote Sensing
jian.peng@ufz.de

Assistant
Catharina Reul
Department Remote Sensing and
Remote Sensing Centre for Earth System Research
catharina.reul-jimenez@ufz.de
Tel.: +49 341 235 482335

Permoserstraße 15 | 04318 Leipzig | Germany

News / Press

Remote Sensing Center for Earth System Research (RSC4Earth) kicked off!

https://rsc4earth.de

https://twitter.com/Rsc4Earth

New publications

Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M.W.J., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y.H., Lovergine, F., Mahecha, M.D., et al., (2021):
A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements.
Remote Sensing of Environment, 112162
(doi)

Balenzano, A., Mattia, F., Satalino, G., Lovergine, F.P., Palmisano, D., Peng, J., et al., (2021):
Sentinel-1 soil moisture at 1 km resolution: a validation study.
Remote Sensing of Environment, 263, 112554
full text (doi)

Huang, J., Zhang, Y., Bing, H., Peng, J., Dong, F., Gao, J., & Arhonditsis, G.B. (2021):
Characterizing the River Water Quality in China: Recent Progress and On-Going Challenges.
Water Research 201: 117309
full text (doi)

Ayalew, D.A., Deumlich, D., Šarapatka, B., Doktor, D., (2020):
Quantifying the sensitivity of NDVI-based C factor estimation and potential soil erosion prediction using spaceborne Earth observation data
Remote Sens. 12 (7), art. 1136
full text (doi)

Preidl, S., Lange, M., Doktor, D., (2020):
Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery
Remote Sens. Environ. 240 , art. 111673
full text (doi)

Further publications 2020

Pinnington, E., Amezcua, J., Cooper, E., Dadson, S., Ellis, R., Peng, J., Robinson, E., and Quaife, T.: Improving Soil Moisture Prediction of a High–Resolution Land Surface Model by Parameterising Pedotransfer Functions through Assimilation of SMAP Satellite Data, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-303.

Huang, J., Chen, Q., Peng, J., and Gao, J.: Quantifying the cost-effectiveness of nutrient- removal strategies for a lowland rural watershed: Insights from process-based modeling. Ecological Modelling, 431, 109123, https://doi.org/10.1016/j.ecolmodel.2020.109123, 2020.

Zhang, X., Qu, Y., Ma, M., Liu, H., Su, Z., Lv, J., Peng, J., Leng, G., He, X. and Di, C.: Satellite-Based Operational Real-Time Drought Monitoring in the Transboundary Lancang–Mekong River Basin. Remote Sensing, 12(3), p.376, 2020.

Gruber, A., Rolf, R., Albergel, C., Brocca, L., Cosh, M., Crow, C., Dorigo, W., Draper, C., Hirschi, M., Peng, J., Jackson, T., Kerr, Y., Montzka, C., Munoz, J., Nicolai, N., Rudiger, R., Scanion, T., Wagner, W.: Validation practices for satellite soil moisture products - What are (the) errors? Remote Sensing of Environment, 244, 111806. https://doi.org/10.1016/j.rse.2020.111806, 2020.

Sabaghy, S., Walker, J. P., Renzullo, L. J., Akbar, R., Chan, S., Chaubell, J., Das, N., Dunbar, R. S., Entekhabi, D., Gevaert, A., Jackson, T. J., Loew, A., Merlin, O., Moghaddam, M., Peng, J., Peng, J., Piepmeier, J., Rüdiger, C., Stefan, V., Wu, X., Ye, N., and Yueh, S.: Comprehensive analysis of alternative downscaled soil moisture products, Remote Sensing of Environment, 239, 111586, https://doi.org/10.1016/j.rse.2019.111586, 2020.

Peng, J., Dadson, S., Hirpa, Feyera., Dyer, E., Lees, T., Funk, C., Miralles, D., Vicente- Serrano, S.: A pan-African high resolution drought index dataset. Earth System Science Data, 12, 753–769, 2020.

Huang, J., Peng, J.: The magnitude and drivers of harmful algal blooms in China's lakes and reservoirs: A national-scale characterization. Water Research, 181, 115902, https://doi.org/10.1016/j.watres.2020.115902, 2020.

Peng, J., Kharbouche, S., Muller J-P., Danne O., Blessing S., Giering R., Gobron N., Ludwig R., Muller B., Leng G., Lees T., Dadson S.: Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework. Journal of Hydrology, 580, 124245, 2020.