Physical Sciences and Mathematics Commons^™

Optimization Of Check Dams Through The Application Of Advanced Technologies, Praveen Jha Dr

Praveen Jha Dr

Scientific planning for conserving water and while minimizing the financial resources requirement for its implementation could be done through application of advanced technological programs developed by the author. Three state-of-art geo-spatial programs - Multi-Algorithm Automation Program (MAAP), Water Analysis Program (WAP) and Check Dam Optimization Program (CDOP) - would be used. MAAP produces land use land cover (lulc) map primarily by undertaking Digital Image Processing (DIP) of satellite data in an automated fashion using Artificial Intelligence (AI). WAP, a hydrology modeling program, would be used to generate information related to watershed, water flow, water accumulation etc. CDOP, coupled with MAAP …

Slides: Water Needs And Strategies For A Sustainable Future, Shaun Mcgrath

Shifting Baselines and New Meridians: Water, Resources, Landscapes, and the Transformation of the American West (Summer Conference, June 4-6)

Presenter: Shaun McGrath, Program Director, Western Governors’ Association

25 slides

An Intercomparison Of Ground-Based Solar Ftir Measurements Of Atmospheric Gases At Eureka, Canada, Clare Paton-Walsh, R. Mittermeier, W. Bell, H. Fast, N. B. Jones, A. Meier

Faculty of Science - Papers (Archive)

We report the results of an intercomparison of vertical column amounts of hydrogen chloride (HCl), hydrogen fluoride (HF), nitrous oxide (N2O), nitric acid (HNO3), methane (CH4), ozone (O3), carbon dioxide (CO2) and nitrogen (N2) derived from the spectra recorded by two ground-based Fourier transform infrared (FTIR) spectrometers operated side-by-side using the sun as a source. The procedure used to record spectra and derive vertical column amounts follows the format of previous instrument intercomparisons organised by the Network for Detection of Atmospheric Composition Change (NDACC), formerly known as the Network for Detection of Stratospheric Change (NDSC). For most gases the differences …

Vegetation Identification Based On Satellite Imagery, Vamsi K.R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Automatic vegetation identification plays an important role in many applications including remote sensing and high performance flight simulations. This paper presents a method to automatically identify vegetation based upon satellite imagery. First, we utilize the ISODATA algorithm to cluster pixels in the images where the number of clusters is determined by the algorithm. We then apply morphological operations to the clustered images to smooth the boundaries between clusters and to fill holes inside clusters. After that, we compute six features for each cluster. These six features then go through a feature selection algorithm and three of them are determined to …