Understanding Past, Present, and Future Land Change in the United States using Continuous Change Detection and Classification

Changes in land use/land cover (LULC) are a first order driver of global environmental change. The benefits of accurate contemporary LULC change rates are far reaching. LULC changes represent both causes and effects in complex change processes, and are essential for projecting future changes under specific scenarios. New research from the USGS Land Cover Trends Project utilizes annual sets of land change maps produced by the Land Change Monitoring, Assessment, and Projection (LCMAP) Project. LCMAP is produced using the Continuous Change Detection and Classification (CCDC) algorithm, and provides an innovative approach to create LULC change maps at any point in the Landsat record. The CCDC code uses mathematical prediction models to fit “noise-free” observations to a time series. Each 30-meter pixel is flagged as change if observed images fall outside of the predicted image range. An improved temporal resolution will guide research into new areas focused on refining our understanding of the rates, causes, and consequences of LULC change. This talk will introduce LCMAP products and present preliminary results from the Land Cover Trends Project.

 

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Session Time Slot(s): 
Wednesday, May 24, 2017 - 13:30 to 14:05

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