Chris Sampson
Environmental Research Letters · 2016–2022
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Chris Sampson trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- John B. Lindsay (in Ecology)
Papers from Chris Sampson's perspective
Ordered by how strongly the researchers Chris Sampson trusts endorse each paper. Same corpus, a different order for every researcher.
- Bilateral filtering for gray and color images
- Generation and performance assessment of the global TanDEM-X digital elevation model
- Whitebox GAT: A case study in geomorphometric analysis (Computational Geosciences)
- A suite of global, cross-scale topographic variables for environmental and biodiversity modeling (Scientific Data)
- Outlining where humans live, the World Settlement Footprint 2015 (Scientific Data)
- Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence (Inf.)
- Random forest in remote sensing: A review of applications and future directions
- Shuttle Radar Topography Mission
- Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
- pandas: a Foundational Python Library for Data Analysis and Statistics
Their papers
- A 30 m global map of elevation with forests and buildings removed (2022) — 555 citations
- The credibility challenge for global fluvial flood risk analysis (2016) — 210 citations