Submitted to: Manual of Remote Sensing
Publication Type: Book / Chapter
Publication Acceptance Date: 5/14/2001
Publication Date: 10/15/2004
Citation: Moran, M.S., Maas, S., Vanderbilt, V., Barnes, E.M., Miller, S., Clarke, T.R. 2004. Application of image based remote sensing to irrigated agriculture, Chapter 12. In: Ed. S. Ustin, John Wiley and Sons., Inc. Manual of Remote Sensing. New Jersey. p. 617-676.
Interpretive Summary: Interpretive Summary Irrigated agriculture covers over 21 million hectares in the United States and 271 million hectares in the World. For management of these vast lands, growers need maps of weeds, insect infestations, crop nutrient deficiencies and other cop and soil conditions. Images obtained with aircraft and satellite-based sensors (termed remote sensing) have the potential to provide such maps for the whole region within the time and space requirements of crop management applications. This chapter explains the relation between the physical plant and soil manifestations associated with water stress and the measurements made by satellite-based sensors. Following that, the potential applications of remote sensing and selected remote sensing product development are reviewed for the information need of crop managers. These include the top four information needs identified by U.S. Commodities groups: water, nutrients, weeds and insects. This synthesis should offer an assessment of the state of the art of remote sensing for application to irrigated agriculture that can be used to plan future research direction and specify the design for an orbiting system dedicated to irrigated agriculture.
Technical Abstract: Abstract This chapter provides an overview of the theory and application of remote sensing for irrigated agriculture. A thorough review of potential applications of remote sensing and selected remote sensing product developments is provided for the information needs such as water status,nutrient deficiency, weed infestation and insect infestation. Finally, we provide a summary of the current development stage of remote sensing for irrigated agriculture.