Jun Xiong
Ecology · with Congalton · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 41 citations into it
- Media Technology — 26 citations into it
- Atmospheric Science — 10 citations into it
Whom Jun Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Shao
- Steffen Fritz
- Matthew C. Hansen
- Ross S. Lunetta
- A. Chapagain
- Giorgos Mountrakis
- Mark A. Friedl
- Noel Gorelick
- David John Lary
- Jungho Im
Who trusts Jun Xiong overall
- Lalit Kumar
- Onisimo Mutanga
- Michel Eustáquio Dantas Chaves
- Andrea Tassi
- Xiao Zhang
- Pardhasaradhi Teluguntla
- Prasad S. Thenkabail
- Michelle Cristina Araújo Picoli
- Marco Vizzari
Papers from Jun Xiong's perspective
Ordered by how strongly the researchers Jun Xiong trusts endorse each paper. Same corpus, a different order for every researcher.
- Global land cover mapping from MODIS: algorithms and early results
- Highlighting continued uncertainty in global land cover maps for the user community
- Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets
- Random Forests
- A review of large area monitoring of land cover change using Landsat data
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- World population stabilization unlikely this century (Science)
- The global component of freshwater demand and supply: an assessment of virtual water flows between nations as a result of trade in agricultural and industrial products
- Object‐based change detection using correlation image analysis and image segmentation
Their papers
- A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform (2018) — 460 citations
- Automated cropland mapping of continental Africa using Google Earth Engine cloud computing (2017) — 434 citations
- Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine (2017) — 347 citations