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Year of publication
Type of media
Source
Type of material
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Implementation of machine-learning classification in remote sensing: an applied review
Free accessTaylor & Francis Verlag | 2018| -
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales
Taylor & Francis Verlag | 2017| -
Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification
Taylor & Francis Verlag | 2019| -
Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study
Taylor & Francis Verlag | 2016| -
Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery
Taylor & Francis Verlag | 2020| -
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Taylor & Francis Verlag | 2013| -
Determining tree height and crown diameter from high-resolution UAV imagery
Taylor & Francis Verlag | 2017| -
Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data
Taylor & Francis Verlag | 2019| -
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Free accessTaylor & Francis Verlag | 2018| -
Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data
Taylor & Francis Verlag | 2017| -
SAR-based detection of flooded vegetation – a review of characteristics and approaches
Taylor & Francis Verlag | 2018| -
A Sentinel-1 based hot-spot analysis: landslide mapping in north-western Italy
Free accessTaylor & Francis Verlag | 2019| -
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity
Free accessTaylor & Francis Verlag | 2016| -
UAS, sensors, and data processing in agroforestry: a review towards practical applications
Taylor & Francis Verlag | 2017|