A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data
Authors
Keywords
-
Journal
Remote Sensing Letters
Volume 8, Issue 3, Pages 244-253
Publisher
Informa UK Limited
Online
2016-12-02
DOI
10.1080/2150704x.2016.1249299
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Land use intensity trajectories on Amazonian pastures derived from Landsat time series
- (2015) Philippe Rufin et al. International Journal of Applied Earth Observation and Geoinformation
- Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
- (2015) Andrew Mellor et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Global land cover mapping at 30m resolution: A POK-based operational approach
- (2015) Jun Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape
- (2015) Hannes Müller et al. REMOTE SENSING OF ENVIRONMENT
- Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images
- (2015) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Use of LUCAS LC Point Database for Validating Country-Scale Land Cover Maps
- (2015) Christos Karydas et al. Remote Sensing
- Combined use of multi-seasonal high and medium resolution satellite imagery for parcel-related mapping of cropland and grassland
- (2014) T. Esch et al. International Journal of Applied Earth Observation and Geoinformation
- Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks
- (2014) Claudia Kuenzer et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Can I Trust My One-Class Classification?
- (2014) Benjamin Mack et al. Remote Sensing
- Agricultural land change in the Carpathian ecoregion after the breakdown of socialism and expansion of the European Union
- (2013) Patrick Griffiths et al. Environmental Research Letters
- Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
- (2013) M.C. Hansen et al. REMOTE SENSING OF ENVIRONMENT
- Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
- (2013) Patrick Griffiths et al. REMOTE SENSING OF ENVIRONMENT
- Geo-Wiki: An online platform for improving global land cover
- (2011) Steffen Fritz et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Validation of GIS layers in the EU: getting adapted to available reference data
- (2011) Francisco Javier Gallego International Journal of Digital Earth
- Object-based cloud and cloud shadow detection in Landsat imagery
- (2011) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of Topographic Correction Methods
- (2009) Rudolf Richter et al. Remote Sensing
- Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets
- (2008) M. Herold et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation