| Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland R Darvishzadeh, A Skidmore, M Schlerf, C Atzberger Remote sensing of environment 112 (5), 2592-2604, 2008 | 596 | 2008 |
| LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements R Darvishzadeh, A Skidmore, M Schlerf, C Atzberger, F Corsi, M Cho ISPRS journal of photogrammetry and remote sensing 63 (4), 409-426, 2008 | 544 | 2008 |
| Remote sensing of forest biophysical variables using HyMap imaging spectrometer data M Schlerf, C Atzberger, J Hill Remote sensing of environment 95 (2), 177-194, 2005 | 458 | 2005 |
| Inversion of a forest reflectance model to estimate structural canopy variables from hyperspectral remote sensing data M Schlerf, C Atzberger Remote sensing of environment 100 (3), 281-294, 2006 | 367 | 2006 |
| Challenges and future perspectives of multi-/Hyperspectral thermal infrared remote sensing for crop water-stress detection: A review M Gerhards, M Schlerf, K Mallick, T Udelhoven Remote Sensing 11 (10), 1240, 2019 | 262 | 2019 |
| Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models R Darvishzadeh, C Atzberger, A Skidmore, M Schlerf ISPRS Journal of Photogrammetry and Remote Sensing 66 (6), 894-906, 2011 | 254 | 2011 |
| Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor A Ramoelo, AK Skidmore, MA Cho, M Schlerf, R Mathieu, IMA Heitkönig International journal of applied Earth observation and geoinformation 19 …, 2012 | 243 | 2012 |
| The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing JL Widlowski, C Mio, M Disney, J Adams, I Andredakis, C Atzberger, ... Remote Sensing of Environment 169, 418-437, 2015 | 224 | 2015 |
| Shifts in regional water availability due to global tree restoration AJ Hoek van Dijke, M Herold, K Mallick, I Benedict, M Machwitz, M Schlerf, ... Nature Geoscience 15 (5), 363-368, 2022 | 193 | 2022 |
| Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy C Atzberger, R Darvishzadeh, M Immitzer, M Schlerf, A Skidmore, ... International Journal of Applied Earth Observation and Geoinformation 43, 19-31, 2015 | 189 | 2015 |
| Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy M Schlerf, C Atzberger, J Hill, H Buddenbaum, W Werner, G Schüler International Journal of Applied Earth Observation and Geoinformation 12 (1 …, 2010 | 182 | 2010 |
| Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods H Buddenbaum, M Schlerf, J Hill International Journal of Remote Sensing 26 (24), 5453-5465, 2005 | 171 | 2005 |
| Water stress detection in potato plants using leaf temperature, emissivity, and reflectance M Gerhards, G Rock, M Schlerf, T Udelhoven International journal of applied Earth observation and geoinformation 53, 27-39, 2016 | 156 | 2016 |
| Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation Y Inoue, M Guérif, F Baret, A Skidmore, A Gitelson, M Schlerf, ... Plant, cell & environment 39 (12), 2609-2623, 2016 | 154 | 2016 |
| The fourth radiation transfer model intercomparison (RAMI‐IV): Proficiency testing of canopy reflectance models with ISO‐13528 JL Widlowski, B Pinty, M Lopatka, C Atzberger, D Buzica, M Chelle, ... Journal of Geophysical Research: Atmospheres 118 (13), 6869-6890, 2013 | 152 | 2013 |
| Mapping spatio-temporal variation of grassland quantity and quality using MERIS data and the PROSAIL model Y Si, M Schlerf, R Zurita-Milla, A Skidmore, T Wang Remote Sensing of Environment 121, 415-425, 2012 | 152 | 2012 |
| Identifying plant species using mid-wave infrared (2.5–6 μm) and thermal infrared (8–14 μm) emissivity spectra S Ullah, M Schlerf, AK Skidmore, C Hecker Remote Sensing of Environment 118, 95-102, 2012 | 148 | 2012 |
| Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review K Berger, M Machwitz, M Kycko, SC Kefauver, S Van Wittenberghe, ... Remote sensing of environment 280, 113198, 2022 | 147 | 2022 |
| Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations A Ramoelo, AK Skidmore, M Schlerf, R Mathieu, IMA Heitkönig ISPRS journal of photogrammetry and remote sensing 66 (4), 408-417, 2011 | 141 | 2011 |
| Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data A Ramoelo, AK Skidmore, MA Cho, R Mathieu, IMA Heitkönig, ... ISPRS journal of photogrammetry and remote sensing 82, 27-40, 2013 | 138 | 2013 |
Andrew SkidmoreProfessor of Spatial Environmental Resource Dynamics, ITC, University of TwenteOverená e-mailová adresa na: utwente.nl