Justin Braaten
Ecology · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 6 citations into it
Whom Justin Braaten trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Justin Braaten's perspective
Ordered by how strongly the researchers Justin Braaten trusts endorse each paper. Same corpus, a different order for every researcher.
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- Object-based cloud and cloud shadow detection in Landsat imagery
- Landsat continuity: Issues and opportunities for land cover monitoring
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- High-resolution mapping of global surface water and its long-term changes (Nature)
- Examination of Sentinel-2A Multi-spectral Instrument (MSI) Reflectance Anisotropy and the Suitability of a General Method to Normalize MSI Reflectance to Nadir BRDF Adjusted Reflectance
- A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm (International Journal of Digital Earth)
Their papers
- Implementation of the LandTrendr Algorithm on Google Earth Engine (2018) — 474 citations