Development of Google Earth Engine-based Cyberinfrastructure to Support In-season Crop Mapping and Analysis

Authors: Chen Zhang*, George Mason University, Liping Di, George Mason University, Li Lin, George Mason University
Topics: Cyberinfrastructure, Geographic Information Science and Systems, Remote Sensing
Keywords: cyberinfrastrucrure, crop mapping, Google Earth Engine
Session Type: Poster
Day: 4/5/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


In-season crop mapping is important for environmental modeling, agricultural monitoring, food security, and other socio-economic activities. However, it is difficult for scientists to get the timely crop cover map at large geographic area at the early growing season. To address this issue, In-season Crop Mapping and Analysis Portal (ICMAP), a Google Earth Engine-based geospatial cyberinfrastructure, is developed. ICMAP not only offers the online visualization and analysis of diverse field-level agricultural land use information (e.g. early-season crop cover map, crop rotation map, historical Cropland Data Layer product) for the entire United States, but also provides the functionality of online in-season crop type classification based on the on-demand Earth observation (EO) data.

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