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Wood, B.R., Washino, R., Beck, L., Hibbard, K., Pitcairn, M., Roberts, D., Rejmankova, E., Paris, J., Hacker, C., Salute, J., Sebesta, P. and Legters, L. (1991) Distinguishing High and Low Anopheline-Producing Rice Fields Using Remote Sensing and GIS Technologies. Preventive Veterinary Medicine, 11, 277-288. http://dx.doi.org/10.1016/S0167-5877(05)80014-5

has been cited by the following article:

• TITLE: Integrating a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU® Mobile Field Data Collection System Using Differentially Corrected Global Positioning System Technology and a Real-Time Bidirectional Actionable Platform within an ArcGIS Cyberenvironment for Implementing Mosquito Control

  AUTHORS: Benjamin G. Jacob, Robert J. Novak

  KEYWORDS: Trimble Recon X, Vector Control Management System (VCMS), Anopheles arabiensis, QuickBird Imagery

  JOURNAL NAME: Advances in Remote Sensing, Vol.3 No.3, September 29, 2014

  ABSTRACT: In this research, we determined the feasibility of using a Personal Digital Assistant (PDA) as a mobile field data collection system by monitoring mapping and regressing digitized sub-meter resolution polygons of multiple, malaria, mosquito, Anopheline arabiensis s.s., aquatic, larval, habitat covariates. The system employed QuickBird raster imagery displayed on a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU®. The mobile mapping platform was employed to identify specific geographical locations of treated and untreated seasonal An. arabiensis s.s. aquatic larval habitats in Karima rice-village complex in the Mwea Rice Scheme, Kenya. As data pertaining to An. arabiensis s.s. larval habitats were entered, all treated and untreated rice paddies within a 2 km buffer of the agro-village, riceland-complex, epidemiological, study site were viewed and managed on the PDA.