PE&RS June 2009

To monitor invasive floating vegetation in Lake Okeechobee, Florida, the NASA DEVELOP team at Stennis Space Center used MOD09 surface reflectance product from the Moderate Resolution Imaging Spectroradiometer to calculate Normalized Difference Vegetation Index (NDVI) as a time series. The project team used the Time Series Product Tool, also produced at Stennis, to create this time series from May 1, 2008, to September 30, 2008. Lake Okeechobee is bordered to the north and the south by agriculture, which introduces large phosphorus loads into the lake. Therefore, monitoring invasive floating vegetation, including water lettuce, hydrilla, hyacinth, and algal blooms, is of great importance due to the potential threat they pose to the ecosystem. The image of the lake on the far left shows the total sum of all NDVI values for the time period studied. The middle image shows the maximum NDVI values for the entire month of May 2008; the highest values are red. The image on the far right is from July 2, 2008; the brightest green depicts areas with the highest NDVI values. This data can assist water managers in establishing fl oating vegetation mitigation plans. For more information contact the DEVELOP program at NASA-DL-DEVELOP@mail.nasa.gov.

Highlight Articles
626 NASA Applied Sciences’ DEVELOP Program Fosters the Next Generation of Earth Remote Sensing Scientists (Adobe PDF 829Kb)
Lauren M. Childs, Madeline W. Brozen, Jonathan L. Gleason, Tracey L. Silcox, and Lauren W. Underwood

Feature Article
634 Georeferencing Accuracy of GeoEye-1 Imagery (Adobe PDF 2.76Mb)
Clive S. Fraser and Mehdi Ravanbakhsh

Columns & Updates
641 Grids and Datums — Islamic Republic of Mauritania (Adobe PDF 627Kb)
643 Book Reviews

643 A Primer of GIS: Fundamental Geographic and Cartographic Concepts (Adobe PDF 531Kb)
644 Land Use Change: Science, Policy and Management (Adobe PDF 547Kb)

645 Reflection of the Past (Adobe PDF 560Kb)
647 Headquarters News — ASPRS Provides Dues Relief to Members Affected by Economic Recession
649 Industry News

Announcement
648 New Sustaining Member— Aero-Graphics, Inc.

Departments
632 ASPRS Member Champions (Adobe PDF 522Kb)
646 Certification List
647 Region of the Month
648 New Members
652 Who’s Who in ASPRS
653 Sustaining Members
655 Instructions for Authors
666 Forthcoming Articles
678 Calendar
729 Classifieds
729 Advertiser Index
730 Professional Directory
732 Membership Application

Peer-Reviewed Articles (Click the linked titles to see the full abstract)

657 Accuracy Evaluation and Sensitivity Analysis of Estimating 3D Road Centerline Length using Lidar and NED
Hubo Cai and William Rasdorf

An approach to model transportation linear objects in a 3D space and estimate their 3D lengths using planimetric road centerline data and elevation data (Lidar and NED) and quantify the accuracy.

667 A Region-based Level Set Segmentation for Automatic Detection of Man-made Objects from Aerial and Satellite Images
Konstantinos Karantzalos and Demertre Argialas

A region-based segmentation developed, tested, and evaluated for automatically detecting roads, buildings, and other man-made objects from aerial and satellite images.

679 An Adaptive Thresholding Multiple Classifiers System for Remote Sensing Image Classification
Yu-Chang Tzeng, Kou-Tai Fan, and Kun-Shan Chen

Bagging and/or Boosting Weighted Multiple Classifiers Systems with an Adaptive Thresholding for Remote Sensing Image Classification

689 Meta-Prediction of Bromus tectorum Invasion in Central Utah, United States
Nicholas Etienne Clinton, Peng Gong, Zhenyu Jin, Bing Xu, and Zhiliang Zhu

The Bromus tectorum infestation of Utah mapped using meta-prediction, a data mining technique for combining predictions from multiple models.

703 Occlusion-based Methodology for the Classification of Lidar Data
Ayman F. Habib, Yu-Chuan Chang, and Dong Cheon Lee

A new methodology for the classifi cation of a lidar point cloud into terrain and off-terrain points.

713 Isomorphism in Digital Elevation Models and Its Implication to Interpolation Functions
Peng Hu, Xiaohang Liu, and Hai Hu

The prerequisites for an interpolation function to preserve topographic orderliness, i.e., if point A is higher than point B, the interpolated elevation of A should remain higher, are revealed for the first time.

723 Radiometric Normalization of SPOT-5 Scenes: 6S Atmospheric Model versus Pseudo-invariant Features
Aurélie Davranche, Gaëtan Lefebvre, and Brigitte Poulin

The 6S code provides a signifi cantly lower radiometric variation (2.8 percent) than the use of pseudo-invariant features (4.1 percent), which remains a valid approach with only a few carefully selected invariant sectors.