F. Löw

发表

Analysis of uncertainty in multi-temporal object-based classification

Christopher Conrad, Fabian Löw, Patrick Knöfel, 2015 .

Agricultural crop mapping from multi-scale remote sensing data - Concepts and applications in heterogeneous Middle Asian agricultural landscapes

F. Löw, 2013 .

Mapping and assessing crop diversity in the irrigated Fergana Valley, Uzbekistan

Christopher Conrad, Fabian Löw, John P. A. Lamers, 2017 .

Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing

C. Conrad, F. Löw, J. Lamers, 2015 .

Measuring rural settlement expansion in Uzbekistan using remote sensing to support spatial planning

C. Conrad, M. Thiel, F. Löw, 2015 .

Version Mapping cropland abandonment in the Aral Sea Basin with MODIS time series Remote Sensing

C. Biradar, A. Prishchepov, O. Dubovyk, 2018 .

Remote-sensing-based analysis of landscape change in the desiccated seabed of the Aral Sea—a potential tool for assessing the hazard degree of dust and salt storms

O. Bubenzer, F. Löw, H. Schöler, 2013, Environmental Monitoring and Assessment.

Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use

Christopher Conrad, Fabian Löw, John P. A. Lamers, 2016 .

The impact of training class proportions on binary cropland classification

Fabian Löw, François Waldner, Damien Christophe Jacques, 2017 .

Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

Olena Dubovyk, Christopher Conrad, Fabian Löw, 2014 .

Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index.

R. Colditz, C. Biradar, F. Löw, 2016, Journal of environmental management.

Regional-scale monitoring of cropland intensity and productivity with multi-source satellite image time series

Olena Dubovyk, Fabian Löw, Akmal Akramkhanov, 2018 .

Drought hazard in Kazakhstan in 2000–2016: a remote sensing perspective

Olena Dubovyk, Gohar Ghazaryan, Fabian Löw, 2019, Environmental Monitoring and Assessment.

Unraveling the Diversity of Trajectories and Drivers of Global Agricultural Land Abandonment

A. Prishchepov, F. Löw, F. Schierhorn, 2021, Land.

Digital Diffusion for Inclusive Agroecosystems

Mayur R. Mehta, Jalal Eddin Omari, J. Koo, 2018, Advances in Science, Technology & Innovation.

Sugarcane Yield Estimation Through Remote Sensing Time Series and Phenology Metrics

Johannes H. Uhl, F. Löw, D. Dimov, 2022, SSRN Electronic Journal.

National-scale cropland mapping based on spectral-temporal features and outdated land cover information

Pierre Defourny, François Waldner, Matthew C Hansen, 2017, PloS one.

Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing

Fabian Löw, Grégory Duveiller, Gregory Duveiller, 2014, Remote. Sens..

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

Christopher Conrad, Stefan Dech, Ulrich Michel, 2013 .

Per-field crop classification in irrigated agricultural regions in middle Asia using random forest and support vector machine ensemble

Christopher Conrad, Fabian Löw, Stefan Dech, 2012, Remote Sensing.

Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000-2012

Christopher Conrad, Sarah Schönbrodt-Stitt, Fabian Löw, 2016, Remote. Sens..

Assessing gaps in irrigated agricultural productivity through satellite earth observations - A case study of the Fergana Valley, Central Asia

Christopher Conrad, Fabian Löw, John P. A. Lamers, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Framework for agricultural performance assessment based on MODIS multitemporal data

Olena Dubovyk, Dimo Dimov, Fabian Löw, 2019, Journal of Applied Remote Sensing.

SAR and optical time series for crop classification

Christopher Conrad, Fabian Löw, Dimo Dimov, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Terrestrial oil spill mapping using satellite earth observation and machine learning: A case study in South Sudan.

F. Löw, Klaus Stieglitz, Olga Diemar, 2021, Journal of environmental management.

Crop classification at subfield level using RapidEye time series and graph theory algorithms

Christopher Conrad, Fabian Löw, Sebastian Fritsch, 2012, Remote Sensing.

Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data

Ulrich Michel, Christopher Conrad, Fabian Löw, 2015 .

Land cover change detection in the Aralkum with multi-source satellite datasets

F. Löw, V. Dukhovny, D. Dimov, 2021, GIScience & Remote Sensing.

Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa

Christopher Conrad, Fabian Löw, Michael Thiel, 2015, Remote. Sens..

Organohalogen emissions from saline environments – spatial extrapolation using remote sensing as most promising tool

F. Löw, I. Mulder, H. Schöler, 2011 .

A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

Steffen Fritz, Fabian Löw, Gerard Hazeu, 2016, Data.

Landscape Dynamics in the Southern Aralkum: Using MODIS Time Series for Land Cover Change Analysis

O. Bubenzer, F. Löw, P. Navratil, 2012 .

Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: experiences from irrigation systems in Central Asia

Christopher Conrad, Fabian Löw, Stefan Dech, 2011, Remote Sensing.

Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series

Olena Dubovyk, Fabian Löw, François Waldner, 2018, Remote. Sens..

A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

Olena Dubovyk, Gohar Ghazaryan, Nataliia Kussul, 2018 .

Determining suitable image resolutions for accurate supervised crop classification using remote sensing data

Fabian Löw, Gregory Duveiller, F. Löw, 2013, Remote Sensing.

Annual Cropland Mapping Using Reference Landsat Time Series - A Case Study in Central Asia

Pengyu Hao, Fabian Löw, Chandrashekhar M. Biradar, 2018, Remote. Sens..

Object-Based Postprocessing Method for Crop Classification MAPS

Olena Dubovyk, Fabian Löw, Nataliia Kussul, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton

Christopher Conrad, Sylvia Lex, Fabian Löw, 2015 .

Spatial Assessment of Drought Hazard in Kazakhstan: Towards A Countrywide Drought Monitoring System

Olena Dubovyk, Gohar Ghazaryan, Valerie Graw, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Tapping the potential of Landsat archives for the monitoring of irrigated land use development in the lower Syr Darya catchment, Kazakhstan, 1984-2017

C. Conrad, M. Thiel, F. Löw, 2018 .

Assessing the potential of Landsat images to detect and map agricultural land abandonment in Kyzyl-Orda (Kazakhstan)

C. Conrad, F. Löw, Elisabeth Fliemann, 2014 .