February 2005
Digital Quick Guide: Digital Portrait Photography 101;2005, p93
A subject index for the February 2005 issue of the book "DIGITAL PORTRAIT PHOTOGRAPHY 101" is presented.


Related Articles

  • INDEX.  // Digital Quick Guide: Digital Photography 101;2005, p93 

    A subject index for the June 2005 issue of "DIGITAL QUICK: DIGITAL PHOTOGRAPHY 101" is presented.

  • INDEX.  // Digital Quick Guide: The Parent's Guide to Photographing Childre;2005, p93 

    A subject index for the June 1, 2005 issue of the book "Digital Quick Guide: The Parent's Guide to Photographing Children and Families" is presented.

  • Efficiency of the leaf disc method for estimating the leaf area index of soybean plants. Pierozan Junior, Clovis; Kawakami, Jackson // Acta Scientiarum: Agronomy;oct-dec2013, Vol. 35 Issue 4, p487 

    The objective of this study was to evaluate the efficiency of the leaf disc method for estimating the leaf area index (LAI) of soybean plants in comparison with the digital photo method. A split-plot experimental design was used with three replications. The LAIs calculated by the leaf disc and...

  • Digital photo frames develop new following in drug stores. Desjardins, Doug // Drug Store News;7/23/2007 Special Digital Report, Vol. 29 Issue 9, p51 

    The article discusses the entry of the digital photo frames in the drug store industry in the U.S. Several major retailers are expected to carry a number of smaller models at entry-price level. The reason for such move is due to the increase in sales and decrease in prices. The frames are said...

  • Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions. Yelu Zeng; Jing Li; Qinhuo Liu; Ronghai Hu; Xihan Mu; Weiliang Fan; Baodong Xu; Gaofei Yin; Shengbiao Wu // Remote Sensing;2015, Vol. 7 Issue 10, p13410 

    The development of near-surface remote sensing requires the accurate extraction of leaf area index (LAI) from networked digital cameras under all illumination conditions. The widely used directional gap fraction model is more suitable for overcast conditions due to the difficulty to discriminate...

  • Three-dimensional photogrammetry as a tool for estimating morphometrics and body mass of Steller sea lions (Eumetopias jubatus). Waite, Jason N; Schrader, Wendy J; Mellish, Jo-Ann E; Horning, Markus // Canadian Journal of Fisheries & Aquatic Sciences;Feb2007, Vol. 64 Issue 2, p296 

    A technique was developed to estimate morphometrics and body mass of Steller sea lions (Eumetopias jubatus) using three-dimensional (3D) photogrammetry. 3D photogrammetry reduces many of the problems associated with camera and body position encountered with two-dimensional photogrammetric...

  • Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring. Hunt Jr., E. Raymond; Hively, W. Dean; Fujikawa, Stephen J.; Linden, David S.; Daughtry, Craig S. T.; McCarty, Greg W. // Remote Sensing;Mar2010, Vol. 2 Issue 1, p290 

    Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single 12-megapixel camera that did not have an internal hot-mirror filter and had a red-light-blocking filter in front of the lens, resulting in...

  • Betel Leaf Area Measurement Using Image Processing. Patil, Sanjay B.; Bodhe, Shrikant K. // International Journal on Computer Science & Engineering;2011, Vol. 3 Issue 7, p2656 

    The deep green heart shaped leaves of betel vine are popularly known as a Paan in India. It is used in a number of traditional remedies. Now a day's customer's lifestyles and needs have gone through tremendous changes. These changes are new challenges for the farmers whose produce has to meet...

  • Association of digital photo parameters and NDVI with winter wheat grain yield in variable environments. MORGOUNOV, Alexey; GUMMADOV, Nurberdi; BELEN, Savaş; KAYA, Yüksel; KESER, Mesut; MURSALOVA, Jamala // Turkish Journal of Agriculture & Forestry;2014, Vol. 38 Issue 5, p624 

    The normalized difference vegetation index (NDVI) is gaining popularity as a complementary selection tool, even though it requires an instrument not readily available in the developing world. We evaluated several parameters (originating from the analysis of digital photos using BreedPix...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics