Folder
ROOT
_ScienceBase Catalog
__John Wesley Powell Center for Analysis and Synthesis
___Global Croplands and Their Water Use for Food Security in the Twenty-first Century
____Algorithms
_____Global and regional cropland extent, area, and characteristics (e.g., crop types, cropping intensities, irrigated versus rainfed) classification algorithms
The tools described here were developed for use within the ERDAS Imagine 8.7 software environment, and are for use with the Rulequest Research Cubist and See5/C5.0 software packages above version 1.12 of cubist, and above version 1.18 of see5. The software executables were compiled using the Imagine Toolkit 8.7 and Microsoft Visual C++ 6.0.
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...