This study presents a crop planting and type proportion (CPTP) method for crop acreage estimation of complex and diverse agricultural landscapes. CPTP has three major components: (1) Crop planting proportion (CPP), estimated with wide-swath satellite remote sensing data to completely cover the monitoring area by segmenting cropped and non-cropped areas through unsupervised classification. (2) C...

While alfalfa is often recognized as the “Queen of the Forages”, corn may be considered “King of the Crops” and currently ranks as the nation’s largest acreage crop with over 87 million acres. The corn acreage U.S. has continued to increase in recent years for various reasons including greater market demand, a shift towards larger farms that focus on a fewer number of crops, and the development...

ABSTRACf The National Agricultural Statistics Service used LANDSAT multispectral scanner (MSS) data to aid regression estimates of acreage for major crops during 1980-1987. Future LANDSAT satellites will not have the MSS scanner, but will have a thematic mapper (TM) scanner. TM data is more expensive to purchase and process for large areas because of its higher spatial and spectral resolution. ...

Acreage estimates are crucial for forecasting menthol mint acreage, as crop output figures fluctuate from year to in response fluctuations the market price of oil. Thus, there yearly maximum that farmers can obtain. Since low production arises rates, and high results prices, these acreage estimate studies may be useful lowering uncertainty regarding mints’ output. The widespread adoption remote...

This paper presents a method for crop yield forecast based on remote sensing and official data. The method uses a statistical approach to extract different pixels of smoothed NDVI data derived from MODIS sensor to be used as proxies for sugarcane yield estimation at a municipal scale. From 368 municipalities with yield's historical data from 2003 to 2012, three groups were created based on acre...

This project takes an in-depth look at the environmental variables of freshwater lakes and how these variables affect the land value of lakeshore property. A GIS-based spatial and statistical analysis applied to lakeshore data from Crow Wing and Cass county Minnesota, provided the information necessary to establish general correlations applicable to Midwestern lakeshore property. The sample set...