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ACCA California (Wu & Thenkabail)

Summary

An automated cropland classification algorithm (ACCA) that is rule-based is illustrated here for the state of California, USA. The goal of the ACCA is to automatically compute cropland characteristics such as: (a) cropland extent\area; (b) crop type, (c) cropping intensity, and (d) irrigated versus rainfed. However, ACCA here is focused on automatically determining cropland extent using multi-sensor remote sensing and secondary data for the state of California. First, a Mega-file data cube (MFDC) (see section 2.0) was created using Moderate Resolution Imaging Spectroradiometer (MODIS) for year 2010 monthly maximum value composite (MVC) normalized difference vegetation index (NDVI) time-series and Landsat TM5 July 2010 surface reflectance [...]

Child Items (4)

Communities

  • Global Croplands and Their Water Use for Food Security in the Twenty-first Century
  • John Wesley Powell Center for Analysis and Synthesis

Provenance

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