Curtis E. Woodcock
Global and Planetary Change · 2001–2019
A researcher in the Science corpus: 18 papers; trusts 25 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 86 citations into it; #1,005 of 10,225 by trust here, #1,049 by citations
- Ecology — 72 citations into it; #381 of 10,717 by trust here, #382 by citations
- Atmospheric Science — 28 citations into it; #518 of 4,804 by trust here, #1,659 by citations
- Media Technology — 26 citations into it; #845 of 3,621 by trust here, #184 by citations
- Environmental Engineering — 22 citations into it; #505 of 5,479 by trust here, #470 by citations
- Aerospace Engineering — 20 citations into it
- Ecological Modeling — 16 citations into it
- Artificial Intelligence — 10 citations into it; #15,583 of 35,345 by trust here, #3,703 by citations
Whom Curtis E. Woodcock trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhe Zhu
- J. Masek
- Robert E. Kennedy
- Warren B. Cohen
- Giles M. Foody
- Eric F. Vermote
- Mark A. Friedl
- Matthew C. Hansen
- Yves Croissant
- Jorge E. Pinzón
Who trusts Curtis E. Woodcock overall
- Zhe Zhu
- M. Wulder
- Marc Rußwurm
- Darius Phiri
- David P. Roy
- Warren B. Cohen
- Xiangzheng Deng
- Marco Körner
- Xiao Zhang
- Nicholas C. Coops
Papers from Curtis E. Woodcock's perspective
Ordered by how strongly the researchers Curtis E. Woodcock trusts endorse each paper. Same corpus, a different order for every researcher.
- An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
- Landsat continuity: Issues and opportunities for land cover monitoring
- Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
- Global land cover mapping from MODIS: algorithms and early results
- Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
Their papers
- Current status of Landsat program, science, and applications (2019) — 982 citations
- How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms (2017) — 193 citations
- Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers (2017) — 154 citations
- The global Landsat archive: Status, consolidation, and direction (2016) — 742 citations
- Free and open-access satellite data are key to biodiversity conservation (2015) — 365 citations
- Good practices for estimating area and assessing accuracy of land change (2014) — 2,789 citations
- Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change (2014) — 525 citations
- Continuous change detection and classification of land cover using all available Landsat data (2014) — 1,647 citations
- Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation (2013) — 975 citations
- Object-based cloud and cloud shadow detection in Landsat imagery (2012) — 2,139 citations
- Opening the archive: How free data has enabled the science and monitoring promise of Landsat (2012) — 1,180 citations
- Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets (2008) — 584 citations
- Free Access to Landsat Imagery (2008) — 927 citations
- Landsat continuity: Issues and opportunities for land cover monitoring (2008) — 607 citations
- The impact of gridding artifacts on the local spatial properties of MODIS data : Implications for validation, compositing, and band-to-band registration across resolutions (2006) — 298 citations
- Global land cover mapping from MODIS: algorithms and early results (2002) — 2,689 citations
- Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? (2001) — 1,863 citations
- Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors (2001) — 306 citations