Remote Sensing and Modeling: Advances in Coastal and Marine Resources

BOOKREVIEW In 2010, the Gulf of Mexico experienced a drilling disaster: the Deepwater Horizon oil spill killed 11 crewmen, spilled an estimated 4.9 million barrels of crude oil, and gushed for 87 days. This disaster of epic proportions has spurred marine and coastal research and recovery efforts and made even more obvious the need for advances in remotely sensed data in the coastal and marine environments. Remote Sensing and Modeling: Advances in Coastal and Marine Resources is an organized collection of diverse chapters that provide an overview of four different areas in which significant advances have occurred: Part I, with seven chapters and 190 pages, reviews remote sensing of coastal ecosystems and environments, the use of Laser Airborne Depth Sounding (LADS), laser scanning, satellite imagery, and X-Band Radar. The first chapter is wellreferenced and does a thorough job of describing technologies commonly used in coastal and wetland studies. The second chapter compares two technologies (High Density Airborne Laser Bathymetry and Satellite Multispectral data) used Remote Sensing and Modeling: in separate locations, carbonate reefs along the southeast Advances in Coastal and Marine Florida coast and open waters near the Marquesa Islands in Resources the Florida Keys, and does a good job of enumerating many of the ‘pros and cons’ of each method. Other chapters introduce Charles W. Finkl and Chistopher Makowski, eds. Terrestrial Laser Scanners (TLS), various satellite-sensed Vol. 9 by Publishing Technology to:Springer, George Mason University imagery, and the results ofDelivered an assessment of geomorphologic 2014. Xx and 502 pp., diagrams, maps, images, photos, IP: 117.245.76.46 On: Sat, 19 Mar 2016 14:04:01 studies using various geospatial and remotely sensed data index. Hardcover. $179.00 ISBN 978-3-319-06326-3 Copyright: American Society for Photogrammetry and Remote Sensing sets. The last chapter goes into detail on the use of X-band radar to study foreshore changes. Reviewed by: John S. Wood, Post-Doctoral Part II, with five chapters, 121 pages, examines advances Research Fellow, Harte Research Institute for Gulf in the study and interpretation of oceans, estuaries, sea level rise and water quality. The first chapter of this section, of Mexico Studies, Texas A&M University-Corpus Chapter 8, presents ‘Digital Ocean’, a research subset of Christi, TX. the conceptual Digital Earth model envisioned by Al Gore in the 1990’s. This chapter introduces the reader to the model layers and architecture, as well as introducing a case study of Digital Ocean the China Digital Ocean Prototype improve their performance to simulate sediment transport, System (CDOPS). Chapter 9 presents the case study of a predict and monitor salinity, and algal blooms. Part III, with 5 chapters and 111 pages, concentrates on hybrid model to estimate seasonal sea-level variations from freshwater river discharges into a semi-enclosed bay system. modeling of coastal areas using field data, remote sensing, The steps detailed in this chapter outline the basic steps Geographic Information Systems, and numerical simulations. in model development and assessment, which can be quite Various sensors, such as SAR, lidar, IR aerial imagery, useful to the reader. Chapter 10 introduces advances in MODIS, MERIS, SeaWiFS, HICO, Landsat, and APES are modeling water quality in estuaries. While the author seems used with a variety of processing software to monitor a to confuse seaweed, an algae, and seagrass, an angiosperm, variety of coastal water quality parameters, create hazard he does a great job of explaining the model used and the predictions, and predict shoreline changes. Authors in this variables involved. Chapter 11 summarizes the use of video monitoring in understanding long-term (i.e., years to decades) Photogrammetric Engineering & Remote Sensing beach morphological changes. Wave forcing and beach Vol. 81, No. 12, December 2015, pp. 895–896. morphodynamics characterized by evaluating a continuous 0099-1112/15/895–896 offshore wave time series. Chapter 12 examines the use of © 2015 American Society for Photogrammetry Landsat 5 imagery to generate spatially distributed water and Remote Sensing quality data. This is then used in water quality models to doi: 10.14358/PERS.81.12.895

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section do an excellent job of describing many of the models in use today and how the output of one model may be the input to another. Part IV is comparatively short, with only 3 chapters and 70 pages, and focuses on how remote sensing and GIS provide useful coastal resource management ASPRS congratulates these recently Certified and information. Chapter 18 is dedicated to the use of Re-certified individuals: satellite remote sensing and modeled data to support marine fisheries management and fisheries resources. Often, satellite-derived data can provide environmental CERTIFIED MAPPING SCIENTIST GIS/LIS time series data and be useful for tracking and Emilly Foster, Certification #GS230 understanding the effects of environmental epochs and Effective October 31, 2015, expires October 31, 2020 reduce costs of monitoring large areas. Large areas of impact, from a storm or cyclone, can be assessed and responses planned using remote sensing. Currents and CERTIFIED MAPPING SCIENTIST REMOTE SENSING migratory patterns can be observed, as well as Sea Christopher David Lippitt, Certification #RS188 Surface Temperature. Chapter 19 covers decision rules, knowledge base, and selection process for locating Effective November 5, 2015, expires November 5, 2020 shrimp farms in Southwest Bangladesh, showing that, with an adequate database, remote sensing and GIS CERTIFIED MAPPING SCIENTIST LIDAR can provide a powerful analytic decision support tool for site selection. Chapter 20 demonstrates a multiSanchit Agarwal, Certification #L002 criteria approach for erosion risk assessment using Effective November 4, 2015, expires November 4, 2020 wave models and high-resolution DEMS. The authors provide useable definitions of risk, probability of CERTIFIED PHOTOGRAMMETRIST hazard, susceptibility, and other useful terms. They provide a coastal vulnerability index (VI) based Eric P. Phan, Certification #1589 Technology to:also Delivered by Publishing George Mason University on eight parameters: shoreline change rate, sea-level IP:October 117.245.76.46 Effective October 21, 2015, expires 21, 2020 On: Sat, 19 Mar 2016 14:04:01 change rate, coastal Sensing slope, mean significant wave Copyright: American Society for Photogrammetry and Remote height, mean tidal range, coastal regional elevation, RECERTIFIED PHOTOGRAMMETRISTS coastal geomorphology and tsunami run-up. A weighted Exposure Risk (EI) can be derived for each area using Kenneth Comeaux, Certification #R1465 remote sensing and thematic GIS data, which is Effective November 4, 2015, expires November 4, 2020 classified into 5 groupings. Using these two indexes, the Erosion Risk Index (ERI) can be calculated. The Kurt Lutz, Certification #R1270 final result is then classified from one to three, based Effective August 5, 2015, expires August 5, 2020 on percentiles. Remote Sensing and Modeling is well written and Paul K. Ogino, Certification #R1302 each chapter contains appropriate and useful graphics, Effective August 14, 2015, expires August 14, 2020 images, and charts. The book is written on an advanced Jeffrey P. Schramm, Certification #R973 level, for those scientists who are familiar with both Effective September 19, 2015, expires September 19, 2020 remote sensing techniques and the subject matter. Students or those new to resource management, ASPRS Certification validates your modeling, and spatial analysis may find the subjects professional practice and experience. a bit overwhelming and fragmented. Each chapter has It differentiates you from others in the its own reference section and there is a single index, so profession. it is quite easy to look up a particular topic and find it For more information on the ASPRS in the text. Certification program: contact In summary, this book will make a welcome and [email protected], visit http://www.asprs.org/membership/ useful addition to the library of those interested in certification advanced modeling and the use of remote sensing in THE the coastal and marine environment.

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