| The EnMAP spaceborne imaging spectroscopy mission for earth observation L Guanter, H Kaufmann, K Segl, S Foerster, C Rogass, S Chabrillat, ... Remote Sensing 7 (7), 8830-8857, 2015 | 738 | 2015 |
| Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions N Pettorelli, M Wegmann, A Skidmore, S Mücher, TP Dawson, ... Remote sensing in ecology and conservation 2 (3), 122-131, 2016 | 331 | 2016 |
| Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data U Heiden, K Segl, S Roessner, H Kaufmann Remote Sensing of Environment 111 (4), 537-552, 2007 | 264 | 2007 |
| Urban structure type characterization using hyperspectral remote sensing and height information U Heiden, W Heldens, S Roessner, K Segl, T Esch, A Mueller Landscape and urban Planning 105 (4), 361-375, 2012 | 239 | 2012 |
| Automated differentiation of urban surfaces based on airborne hyperspectral imagery S Roessner, K Segl, U Heiden, H Kaufmann IEEE Transactions on Geoscience and Remote sensing 39 (7), 1525-1532, 2001 | 230 | 2001 |
| Endmember-guided unmixing network (EGU-Net): A general deep learning framework for self-supervised hyperspectral unmixing D Hong, L Gao, J Yao, N Yokoya, J Chanussot, U Heiden, B Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6518-6531, 2021 | 172 | 2021 |
| Priority list of biodiversity metrics to observe from space AK Skidmore, NC Coops, E Neinavaz, A Ali, ME Schaepman, M Paganini, ... Nature ecology & evolution 5 (7), 896-906, 2021 | 169 | 2021 |
| Fusion of spectral and shape features for identification of urban surface cover types using reflective and thermal hyperspectral data K Segl, S Roessner, U Heiden, H Kaufmann ISPRS Journal of Photogrammetry and Remote Sensing 58 (1-2), 99-112, 2003 | 158 | 2003 |
| Data products, quality and validation of the DLR earth sensing imaging spectrometer (DESIS) K Alonso, M Bachmann, K Burch, E Carmona, D Cerra, R De los Reyes, ... Sensors 19 (20), 4471, 2019 | 132 | 2019 |
| Tree species classification using plant functional traits from LiDAR and hyperspectral data Y Shi, AK Skidmore, T Wang, S Holzwarth, U Heiden, N Pinnel, X Zhu, ... International Journal of Applied Earth Observation and Geoinformation 73 …, 2018 | 127 | 2018 |
| Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014) D Rogge, A Bauer, J Zeidler, A Mueller, T Esch, U Heiden Remote Sensing of Environment 205, 1-17, 2018 | 110 | 2018 |
| Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest AM Ali, R Darvishzadeh, AK Skidmore, I van Duren, U Heiden, M Heurich International journal of applied earth observation and geoinformation 45, 66-76, 2016 | 103 | 2016 |
| Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest Z Wang, T Wang, R Darvishzadeh, AK Skidmore, S Jones, L Suarez, ... Remote sensing 8 (6), 491, 2016 | 101 | 2016 |
| Can the future EnMAP mission contribute to urban applications? A literature survey W Heldens, U Heiden, T Esch, E Stein, A Müller Remote Sensing 3 (9), 1817-1846, 2011 | 74 | 2011 |
| Leaf nitrogen content indirectly estimated by leaf traits derived from the PROSPECT model Z Wang, AK Skidmore, R Darvishzadeh, U Heiden, M Heurich, T Wang IEEE Journal of selected topics in applied earth observations and remote …, 2015 | 72 | 2015 |
| Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects Z Wang, AK Skidmore, T Wang, R Darvishzadeh, U Heiden, M Heurich, ... International Journal of Applied Earth Observation and Geoinformation 54, 84-94, 2017 | 71 | 2017 |
| Potential of high-resolution satellite data in the context of vulnerability of buildings M Mueller, K Segl, U Heiden, H Kaufmann Natural hazards 38, 247-258, 2006 | 68 | 2006 |
| Analysis of spectral signatures of urban surfaces for their identification using hyperspectral HyMap data U Heiden, S Roessner, K Segl, H Kaufmann IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas …, 2001 | 67 | 2001 |
| The new hyperspectral sensor DESIS on the multi-payload platform MUSES installed on the ISS R Müller, J Avbelj, E Carmona, B Gerasch, L Graham, B Günther, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 60 | 2016 |
| Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities A Okujeni, F Canters, SD Cooper, J Degerickx, U Heiden, P Hostert, ... Remote sensing of environment 216, 482-496, 2018 | 52 | 2018 |
