John S. Iiames

TL;DR: In this paper, the authors describe the main components of this international validation effort, including the current participants, their ground LAI measurements and scaling techniques, and the metadata and infrastructure established to share data.

TL;DR: In this article, the Savitzky-Golay, asymmetric Gaussian, double-logistic, Whittaker smoother, and discrete Fourier transformation smoothing algorithms (noise reduction) applied to MODIS Normalized Difference Vegetation Index (NDVI) time-series data, to provide continuous phenology data used for land-cover (LC) classifications across the Laurentian Great Lakes Basin (GLB).

TL;DR: In this article, the potential for using MODIS NDVI 16-day composite (MOD13Q) 250 m time-series data to develop an annual crop type mapping capability throughout the 480,000 km 2 Great Lakes Basin (GLB) was evaluated.

TL;DR: The United States Harmful Algal Bloom and Hypoxia Research Control Act of 2014 identified the need for forecasting and monitoring harmful algal blooms (HAB) in lakes, reservoirs, and estuaries as discussed by the authors.

TL;DR: In this article, the authors used a combination of spectral and GIS rule-based techniques to evaluate relative ecosystem condition over a fication system developed specifically to support spatially wide range of analysis scales (e.g., watershed to national) to asexplicit, non-point source nitrogen allocation modeling studies.