M. Wulder
Ecology · 2004–2020
A researcher in the Science corpus: 23 papers; trusts 29 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 151 citations into it; #2,091 of 10,717 by trust here, #1,065 by citations
- Environmental Engineering — 111 citations into it; #2,280 of 5,479 by trust here, #418 by citations
- Global and Planetary Change — 103 citations into it; #3,533 of 10,225 by trust here, #1,347 by citations
- Nature and Landscape Conservation — 73 citations into it
- Media Technology — 54 citations into it; #2,521 of 3,621 by trust here, #941 by citations
- Atmospheric Science — 37 citations into it
- Insect Science — 36 citations into it
- Ecological Modeling — 31 citations into it; #2,324 of 2,530 by trust here, #1,939 by citations
Whom M. Wulder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhe Zhu
- Curtis E. Woodcock
- Feng Gao
- J. Masek
- Erik Næsset
- Eric F. Vermote
- Warren B. Cohen
- David P. Roy
- Niko Speybroeck
- Stephen V. Stehman
Who trusts M. Wulder overall
- Zhe Zhu
- Joanne C. White
- Darius Phiri
- Ruben Valbuena
- Thomas R. Loveland
- Matthew C. Hansen
- Nicholas C. Coops
- Justin Morgenroth
- Robert E. Kennedy
- David P. Roy
Papers from M. Wulder's perspective
Ordered by how strongly the researchers M. Wulder trusts endorse each paper. Same corpus, a different order for every researcher.
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- Landsat continuity: Issues and opportunities for land cover monitoring
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
- Random Forests
- Copernicus Sentinel-2A Calibration and Products Validation Status (Remote Sensing)
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- 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
- Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas
Their papers
- Accurate derivation of stem curve and volume using backpack mobile laser scanning (2020) — 149 citations
- Landsat 9: Empowering open science and applications through continuity (2020) — 378 citations
- Current status of Landsat program, science, and applications (2019) — 982 citations
- Demonstrating the transferability of forest inventory attribute models derived using airborne laser scanning data (2019) — 79 citations
- Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm (2019) — 445 citations
- Land cover 2.0 (2018) — 356 citations
- Assessing Precision in Conventional Field Measurements of Individual Tree Attributes (2017) — 133 citations
- The global Landsat archive: Status, consolidation, and direction (2016) — 742 citations
- Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment (2015) — 153 citations
- Good practices for estimating area and assessing accuracy of land change (2014) — 2,789 citations
- Quantifying Grizzly Bear Selection of Natural and Anthropogenic Edges (2013) — 88 citations
- The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning (2013) — 337 citations
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013) — 341 citations
- Object-based change detection (2012) — 492 citations
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat (2012) — 1,180 citations
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (2009) — 692 citations
- Spatial–temporal analysis of species range expansion: the case of the mountain pine beetle, Dendroctonus ponderosae (2009) — 101 citations
- The role of LiDAR in sustainable forest management (2008) — 405 citations
- Free Access to Landsat Imagery (2008) — 927 citations
- Landsat continuity: Issues and opportunities for land cover monitoring (2008) — 607 citations