Joanne C. White

Ecology · 2008–2020

A researcher in the Science corpus: 13 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 113 citations into it; #6,565 of 10,717 by trust here, #3,525 by citations
• Environmental Engineering — 102 citations into it; #5,276 of 5,479 by trust here, #1,023 by citations
• Global and Planetary Change — 75 citations into it
• Nature and Landscape Conservation — 65 citations into it
• Insect Science — 42 citations into it
• Media Technology — 41 citations into it; #3,499 of 3,621 by trust here, #1,696 by citations
• Atmospheric Science — 31 citations into it
• Aerospace Engineering — 25 citations into it

Whom Joanne C. White trusts overall

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

1. M. Wulder
2. Heiko Hirschmüller
3. Erik Næsset
4. Christopher W. Bater
5. Andy Liaw
6. Max Kuhn
7. Nicholas C. Coops
8. Trevor J. Hastie
9. Barbara Zitová
10. Mahadev Sharma

Who trusts Joanne C. White overall

1. M. Wulder
2. Lin Cao
3. Ruben Valbuena
4. Xiaowei Yu
5. Nicholas C. Coops
6. Darius Phiri
7. Markus Holopainen
8. C. Stepper
9. Zhe Zhu
10. Matthew C. Hansen

Papers from Joanne C. White's perspective

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

1. Random Forests
2. Landsat continuity: Issues and opportunities for land cover monitoring
3. Mountain pine beetle and forest carbon feedback to climate change (Nature)
4. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance (IEEE Transactions on Geoscience and Remote Sensing)
5. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
6. Opening the archive: How free data has enabled the science and monitoring promise of Landsat
7. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas
8. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
9. Google Earth Engine: Planetary-scale geospatial analysis for everyone
10. Copernicus Sentinel-2A Calibration and Products Validation Status (Remote Sensing)

Their papers

• Accurate derivation of stem curve and volume using backpack mobile laser scanning (2020) — 149 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
• 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
• Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016) — 144 citations
• Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment (2015) — 153 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
• A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (2009) — 692 citations
• The role of LiDAR in sustainable forest management (2008) — 405 citations
• Landsat continuity: Issues and opportunities for land cover monitoring (2008) — 607 citations