Daniel Doktor

发表

Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors

Corinna Rebmann, Michael Vohland, Maximilian Lange, 2017, Sensors.

Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy

Xavier Pons, Maximilian Lange, Daniel Doktor, 2017, Remote. Sens..

PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations

Daniel Doktor, Cornelia Gläßer, Markus Möller, 2016, Comput. Electron. Agric..

A contribution to the reduction of radiometric miscalibration of pushbroom sensors

Andreas Hueni, Angela Lausch, Hermann Kaufmann, 2012 .

Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors

Angela Lausch, Hermann Kaufmann, Karl Segl, 2011, Sensors.

Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

Angela Lausch, Carsten Neumann, Daniel Doktor, 2015, Remote. Sens..

Comparison of radiative transfer model inversions to estimate vegetation physiological status based on hyperspectral data

Daniel Doktor, Sebastian Preidl, D. Doktor, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

TRY plant trait database - enhanced coverage and open access.

Denis Bastianelli, Yuanzhi Li, Ben Somers, 2019, Global change biology.

Evaluation of methods to compute green-up dates based on daily NDVI observations

Maximilian Lange, Daniel Doktor, Dirk Koslowsky, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery

Maximilian Lange, Daniel Doktor, Sebastian Preidl, 2020 .

Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

Angela Lausch, Daniel Spengler, Daniel Doktor, 2014, Remote. Sens..

Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring

Markus Neteler, Lucy Bastin, Giles M. Foody, 2018 .

The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area

Christian Wirth, Ronny Richter, Michael Vohland, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)

Christopher Conrad, Daniel Doktor, Xingmei Xu, 2017, Remote. Sens..

Phenological structuring of multi-temporal rapideye imagergy

Sönke Müller, Daniel Doktor, Cornelia Gläßer, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

An Adaptable Approach for Pixel-Based Compositing and Crop Type/Tree Species Mapping

Maximilian Lange, Daniel Doktor, Sebastian Preidl, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data

Daniel Doktor, Detlef Deumlich, Dawit A. Ayalew, 2020, Remote. Sens..

Combining Messy Phenological Time Series

Daniel Doktor, Jörg Schaber, Werner von Bloh, 2010 .

Simulation of forest tree species’ bud burst dates for different climate scenarios: chilling requirements and photo-period may limit bud burst advancement

Ralf Seppelt, Andreas Marx, Maximilian Lange, 2016, International Journal of Biometeorology.

Deriving phenology of barley with imaging hyperspectral remote sensing

Angela Lausch, Daniel Doktor, Marion Pause, 2015 .

Using satellite imagery and ground observations to quantify the effect of intra-annually changing temperature patterns on spring time phenology

Daniel Doktor, Franz-W. Badeck, Jörg Schaber, 2005 .

Mapping the local variability of Natura 2000 habitats with remote sensing

Angela Lausch, Daniel Doktor, Hannes Feilhauer, 2014 .

Phase difference analysis of temperature and vegetation phenology for beech forest: a wavelet approach

Ingolf Kühn, Daniel Doktor, Gudrun Carl, 2013, Stochastic Environmental Research and Risk Assessment.

Influence of heterogeneous landscapes on computed green-up dates based on daily AVHRR NDVI observations

Daniel Doktor, Franz-W. Badeck, Alberte Bondeau, 2009 .

Phenological Metrics Extraction for Agricultural Land-use Types Using RapidEye and MODIS

Christopher Conrad, Daniel Doktor, Xingmei Xu, 2016 .

Mapping pollination types with remote sensing

Andrew K. Skidmore, Daniel Doktor, Hannes Feilhauer, 2016 .

Monitoring and assessing of landscape heterogeneity at different scales

Karsten Schulz, Angela Lausch, Daniel Doktor, 2013, Environmental Monitoring and Assessment.