Patrick Hostert

Ecology · 2008–2021

A researcher in the Science corpus: 13 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 113 citations into it; #4,775 of 10,717 by trust here, #3,525 by citations
• Media Technology — 53 citations into it; #2,029 of 3,621 by trust here, #956 by citations
• Artificial Intelligence — 34 citations into it
• Environmental Engineering — 30 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Geography, Planning and Development — 10 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Patrick Hostert trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Giles M. Foody
2. Ron Kohavi
3. C. Burges
4. Vladimir Naumovich Vapni

Who trusts Patrick Hostert overall

1. Alexander V. Prishchepov
2. Daniel Müller
3. Volker C. Radeloff
4. Patrick Griffiths
5. Mercedes Eugenia Paoletti
6. Tobias Kuemmerle

Papers from Patrick Hostert's perspective

Ordered by how strongly the researchers Patrick Hostert trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Experiments with a New Boosting Algorithm
3. LIBSVM: A library for support vector machines
4. Classification of hyperspectral remote sensing images with support vector machines (IEEE Transactions on Geoscience and Remote Sensing)
5. A Tutorial on Support Vector Machines for Pattern Recognition
6. The Random Subspace Method for Constructing Decision Forests
7. Landsat continuity: Issues and opportunities for land cover monitoring
8. Opening the archive: How free data has enabled the science and monitoring promise of Landsat
9. Terrestrial Ecoregions of the World: A New Map of Life on Earth
10. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation

Their papers

• Mapping temperate forest tree species using dense Sentinel-2 time series (2021) — 149 citations
• Current status of Landsat program, science, and applications (2019) — 982 citations
• Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities (2018) — 51 citations
• A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring (2016) — 616 citations
• Mapping cropland-use intensity across Europe using MODIS NDVI time series (2016) — 141 citations
• The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation (2015) — 770 citations
• A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping (2013) — 305 citations
• Agricultural land change in the Carpathian ecoregion after the breakdown of socialism and expansion of the European Union (2013) — 186 citations
• Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data (2013) — 265 citations
• Rapid land use change after socio-economic disturbances: the collapse of the Soviet Union versus Chernobyl (2011) — 141 citations
• Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data (2010) — 308 citations
• European Bison habitat in the Carpathian Mountains (2010) — 117 citations
• Surface soil moisture quantification and validation based on hyperspectral data and field measurements (2008) — 76 citations