Xiao-Peng Song

Orcid: 0000-0002-5514-0321

According to our database1, Xiao-Peng Song authored at least 16 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping.
Remote. Sens., August, 2024

Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods.
Comput. Electron. Agric., 2024

2023
The future of global land change monitoring.
Int. J. Digit. Earth, December, 2023

2022
Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia's 13 Capital Cities Using a Landsat Time Series.
Remote. Sens., 2022

2021
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach.
CoRR, 2021

2019
Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016.
Remote. Sens., 2019

Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change.
Remote. Sens., 2019

2018
Development of S-NPP VIIRS global surface type classification map using support vector machines.
Int. J. Digit. Earth, 2018

2017
Improving global land cover characterization through data fusion.
Geo spatial Inf. Sci., 2017

2016
Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data.
Int. J. Digit. Earth, 2016

A time-series model for characterizing continuous land cover change.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover.
Remote. Sens., 2014

Integrating global land cover products for improved forest cover characterization: an application in North America.
Int. J. Digit. Earth, 2014

2013
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error.
Int. J. Digit. Earth, 2013

2012
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digit. Earth, 2012

2011
An assessment of global forest cover maps using regional higher-resolution reference data sets.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011


  Loading...