Joseph O. Sexton

Orcid: 0000-0003-4717-9637

According to our database1, Joseph O. Sexton authored at least 17 papers between 2011 and 2021.

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Bibliography

2021
Integrating Pixels, People, and Political Economy to Understand the Role of Armed Conflict and Geopolitics in Driving Deforestation: The Case of Myanmar.
Remote. Sens., 2021

The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset.
Remote. Sens., 2021

Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product.
Int. J. Digit. Earth, 2021

2019
Environmental Differences between Migratory and Resident Ungulates - Predicting Movement Strategies in Rocky Mountain Mule Deer (Odocoileus hemionus) with Remotely Sensed Plant Phenology, Snow, and Land Cover.
Remote. Sens., 2019

Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015).
Remote. Sens., 2019

2018
Isolating type-specific phenologies through spectral unmixing of satellite time series.
Int. J. Digit. Earth, 2018

2017
Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval.
Remote. Sens., 2017

2016
Calibration and Validation of Landsat Tree Cover in the Taiga-Tundra Ecotone.
Remote. Sens., 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 global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic-spectral classification algorithm.
Int. J. Digit. Earth, 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

An approach for quickly labeling land cover types for multiple epochs at globally selected locations.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 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

Methodology to select phenologically suitable Landsat scenes for forest change detection.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011


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