Matthew C. Hansen
Orcid: 0000-0003-0042-2767
According to our database1,
Matthew C. Hansen
authored at least 20 papers
between 2003 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover Loss Area Estimation.
Remote. Sens., 2021
Tropical Forest Canopy Structure and Change Assessment Using Landsat, GEDI, and Airborne Lidar Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Remote. Sens., 2020
Monitoring Water-Related Ecosystems with Earth Observation Data in Support of Sustainable Development Goal (SDG) 6 Reporting.
Remote. Sens., 2020
An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting.
Remote. Sens., 2020
2018
Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan.
Remote. Sens., 2018
Demonstration of Percent Tree Cover Mapping Using Landsat Analysis Ready Data (ARD) and Sensitivity with Respect to Landsat ARD Processing Level.
Remote. Sens., 2018
2016
Landsat ETM+ and SRTM Data Provide Near Real-Time Monitoring of Chimpanzee (<i>Pan troglodytes</i>) Habitats in Africa.
Remote. Sens., 2016
2014
Wheat Yield Forecasting for Punjab Province from Vegetation Index Time Series and Historic Crop Statistics.
Remote. Sens., 2014
Mapping wetlands in Indonesia using Landsat and PALSAR data-sets and derived topographical indices.
Geo spatial Inf. Sci., 2014
2013
A Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005.
Remote. Sens., 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digit. Earth, 2012
2011
Int. J. Digit. Earth, 2011
Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia.
Int. J. Appl. Earth Obs. Geoinformation, 2011
2010
Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project.
Remote. Sens., 2010
2009
Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks.
Int. J. Appl. Earth Obs. Geoinformation, 2009
2008
A Method for Selecting Training Data and its Effect on Automated Land Cover Mapping of Large Areas.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003