Remote Sens., Volume 12, Issue 3 (February-1 2020) – 248 articles
Cover Story (view full-size image): A multidecadal Landsat data record is a unique tool for global land cover and land use change analysis. Here, we present consistently processed and temporally aggregated Landsat Analysis Ready Data produced by the Global Land Analysis and Discovery team at the University of Maryland (GLAD ARD). The GLAD ARD represents a 16-day time-series of tiled normalized Landsat surface reflectance from 1997 to present, updated annually, and suitable for land cover monitoring at any scale from local to global. A set of tools for multitemporal data processing and characterization using machine learning accompanying the GLAD ARD is an end-to-end solution for Landsat-based natural resource assessment and monitoring. The GLAD ARD data and tools provided free of charge from the GLAD website (https://glad.umd.edu/ard/home).View this paper.
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