Monitoring landscapes using time series remote sensing has become an important component of terrestrial land management and policy development. Traditionally, time series remote sensing has focused on coarse scale imagery, but with the development of Google Earth Engine (GEE) finer spatial and temporal resolution product availability has opened up opportunities to study landscape dynamics on the scale at which stakeholders and land mangers operate. Time series studies with imagery such as MODIS, Landsat, Sentinel, and finer resolution products have gained popularity in the literature in recent years, specifically in ecological applications. In this session, we look to highlight applications of time series remote sensing as it relates to ecological monitoring. Specifically, we invite presentations which address the following topics in relation to satellite remote sensing: global-scale vegetation metrics, trend analysis of biophysical variables, monitoring vegetation production, utilizing time series images into environmental modeling or assessments, and phenological characterization of vegetation.
|Presenter||Hannah Herrero*, University of Florida, Jane Southworth, University of Florida, Examining vegetation changes in Eastern Zambia savanna landscapes from 1984-2016: an integrated approach||20||12:40 PM|
|Presenter||Jordan Cissell*, University of Alabama, Michael K Steinberg, University of Alabama, Crocodile Habitat Conservation in Belize: Assessing Forty Years of Change in Placencia Using GIS and Remote Sensing||20||1:00 PM|
|Presenter||Jane Southworth*, University of Florida, Sadie J Ryan, University of Florida, Reza Khatami, University of Florida, Peter Waylen, University of Florida, Hannah V Herrero, University of Florida, Erin Bunting, Michigan State University, Likai Zhu, University of Wisconsin, Michael Hill, University of North Dakota, Latitudes and land use: global biome shifts in greenness persistence across three decades.||20||1:20 PM|
|Presenter||Erin Bunting*, Michigan State University, Seth Munson, U.S. Geological Survey, John Bradford, U.S. Geological Survey, Understanding spatiotemporal relationships between plant production and water balance across dominant communities and deserts of the southwestern U.S.||20||1:40 PM|
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