Remote sensing methods for lake management : a guide for resource managers and decision-makers / developed by the North American Lake Management Society in collaboration with University of Minnesota, University of Nebraska, and University of Wisconsin for the United States Environmental Protection Agency.

Principal authors: Dr. Jonathan W. Chipman, Dartmouth College; Leif G. Olmanson, University of Minnesota; Dr. Anatoly A. Gitelson, University of Nebraska.

Includes bibliographical references.

Chapter 1. Introduction -- 1.1. Remote sensing methods for lake management: a guide for resource managers and decision-makers -- 1.2. Remote sensing -- 1.3. Summary -- Chapter 2. Real-time proximal sensing of water quality -- 2.1. Terminology and physical principles -- 2.2. Dual-spectroradiometer instrument configuration -- 2.3. Data collection and calibration process -- 2.4. Calculation of chlorophyll a and suspended matter concentrations -- 2.5. Case studies -- 2.6. Costs and resource requirements -- 2.7. Conclusions -- 2.8. References -- Chapter 3. Airborne hyperspectral remote sensing -- 3.1. The AISA Eagle Hyperspectral Imager -- 3.2. Case study 1: Fremont Lakes, Fremont, NE -- 3.3. Case study 2: Pawnee Lake, NE -- 3.4. Case study 3: Lake Minnetonka, MN -- 3.5. Planning a successful mission -- 3.6. Cost estimation -- Chapter 4. Satellite remote sensing I: Landsat and other moderate-resolution systems -- 4.1. Introduction -- 4.2. Acquiring Landsat imagery -- 4.3. Case study 1: Statewide water clarity assessments for Minnesota, Wisconsin and Michigan -- 4.4. Case study 2: Pilot water clarity assessments for Illinois, Indiana and Ohio -- 4.5. Costs and resource requirements -- 4.6. References -- Chapter 5. Satellite remote sensing II: high-resolution systems -- 5.1. Introduction -- 5.2. Acquiring high resolution imagery -- 5.3. Case Studies: Overview -- 5.4 Case study 1: Lake water clarity classification with IKONOS -- 5.5 Case study 2: Aquatic vegetation surveys -- 5.6. References -- Chapter 6. Satellite remote sensing III: regional- to global-scale systems -- 6.1. Introduction -- 6.2. Acquiring MODIS and MERIS imagery -- 6.3. Case study 1: Estimating chlorophyll a concentration in Minnesota lakes -- 6.4. Case study 2: Estimating Secchi depth, chlorophyll a concentration, suspended solids, and turbidity in Green Bay and Lake Michigan -- 6.5. Determining the number of lakes suitable for monitoring with MODIS at 500 m -- 6.6. Costs and resource requirements -- 6.7. References -- 6.8. Acknowledgments -- Chapter 7. Future developments in remote sensing for lake management -- 7.1. Access to new sensors -- 7.2. Improvements in cyberinfrastructure -- 7.3. Improvements in data analysis algorithms -- Chapter 8. Conclusion -- Remote sensing glossary -- Appendix A. Remotely sensed spectra and bio-optical properties of lakes -- A.1. Chlorophyll concentration retrieval -- A.2. Suspended matter concentration retrieval -- A.3. References -- Appendix B. The CDAP software package for field spectroradiometry -- B.1. CDAP features -- B.2. Examples of CDAP screens -- Appendix C. Processing AISA Eagle airborne hyperspectral imagery -- C.1. Level 1 data processing -- C.2. Level 2 processing -- Appendix D. Recommended AISA Eagle band centers for aquatic targets (97 Bands) -- Appendix E. Example of CALMIT AISA Eagle mission planning form.

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