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1) Title:

Land Use/Land Cover Change Module: Cases of Coastal Zone Change from Mesoamerica.

 

 

 

2) Authors, Date Last Revised:

Date Last Revised: January 25, 2007

 

3) Key Words and Phrases:

 

4) Abstract and Vignette

Vignette:

Download vignette in (PDF) format.

Abstract:

This learning module will help students learn critical remote sensing skills--specifically ecosystem characterization, i.e. doing a supervised or unsupervised classification of satellite imagery in a tropical coastal environment, and how to measure landuse/landcover change (LULC) over time and use that data to assess the Human Dimensions of Global Change (HDGC). Specific objectives include:

  1. Learn where to find remote sensing data and practice downloading, pre-processing, and "cleaning" the data for image analysis.
  2. Use Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro to analyze and display the data.
  3. Do an unsupervised classification of a LANDSAT image of a protected area in Honduras, i.e. Cuero y Salado, Pico Bonito, or Isla del Tigre.
  4. Virtually participate in a ground-truthing exercise that would allow one to re-classify the image into a supervised classification using the FAO Global Land Cover Network (GLCN) classification system.
  5. Learn more about each protected area's landscape, history, livelihood patterns and “sustainability” issues via virtual online tours that provide ground and space photos of different sites. This will help students in identifying potential "training sites" for doing a supervised classification.
  6. Study other global, US, Canadian, and European landuse/land cover classification systems and compare their advantages and disadvantages over the FAO/GLCN system.
  7. Learn to appreciate the advantages and disadvantages of existing LULC classification schemes and adapt them to local-level user needs.
  8. Carry out a change detection exercise that shows how land use and/or land cover has changed over time for the protected area of your choice.

5) Rationale (importance of the module):

 

6) Instructor's Guide/Tips for Use

More to come....see the LAB GUIDE - INSTRUCTIONS FOR LEARNERS

 

 

7) Learning Objectives:

The primary goal of this module is to help students learn some critical skills--how to do habitat/ecosystem characterization using remote sensing, i.e. supervised/unsupervised classification of satellite imagery in tropical coastal environments, how to measure landuse/landcover change over time and use that data to assess the Human Dimensions of Global Change (HDGC).

Specific learning objectives include:

  1. Learn where to find remote sensing imagery data--free or commercial satellite imagery--and practice downloading and pre-processing it and where necessary "clean" the data for image analysis.

  2. Use a common image processing software--Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro--to analysize and display the data. See separate page on data sources for the module.

  3. Practice doing an unsupervised classification of a LANDSAT image of a tropical coastal protected area in Honduras (Cuero y Salado--see satellite image), Pico Bonito, or Isla del Tigre.

  4. Virtually participate in a ground-truthing exercise that would allow one to then re-classify and revise the image into a supervised classification using the FAO global land cover classification system (GLCN), i.e. see documents and online materials from FAOs GLCN-LCTC network--see the GLCN/LCCS Concept and its application in Africa as the AFRICOVER Project. See also the FRA 2000 Forest Assessment resources--see below.

  5.  

  6. Study and evaluate other global, US, Canadian, European landuse/land cover classification systems and compare their advantages and disadvantages over the FAO/GLCN system. See for example:

  7.  

  8. Learn to appreciate and compare the advantages and disadvantages of existing classification schemes and then adapt them to local-level user needs in a real policy analysis project such as what the LLU-ESSE21 Mesoamerican Project Team is doing in Honduras.

  9. Providing you can develop and acquire a time series of imagery, carry out a change detection exercise that shows how land use/land cover has changed over time.

    See

    1. Developing Active Learning Modules on the Human Dimensions of Global Change. 1996. Human Driving Forces and their Impacts on Land Use/Land Cover. Association of American Geographers. Adaptation for the web was done by Robert E. Ford. Original material produced by Susanne Moser and Susan Hanson of the HDGC Project, Clark University, George Perkins Marsh Institute, School of Geography, 950 Main St., Worcester, MA 01610-1477.
    2. B. L. Turner II, J. Geoghegan, and D. Foster, eds. 2004. Integrated Land-Change Science and Tropical Deforestation in the Southern Yucatán: Final Frontiers. Oxford Geographical and Environmental Studies. Clarendon Press of Oxford University Press.
  10. Finally, define and assess the driving forces or Human Dimensions of Global Change (HDGC) involved in producing the changes observed in the cases provided. See Developing Active Learning Modules on the Human Dimensions of Global Change. 1996. Introduction to the Human Dimensions of Global Change, by Emma R.M. Archer and Billie L. Turner II, Graduate School of Geography, Clark University, Worcester, MA.

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8) Target Audience:

Upper-division college-level, graduate student and/or professionals in the geosciences, Geographic Information Sciences, natural resources careers, public policy, and global change research commuity.

 

9) Science Concept Overview:

Adds real live case material and a global problem perspective for students to analyze, but yet builds on existing science material from the real of global change research--specifically the onlune module from the AAG (Association of american Geographers):

Developing Active Learning Modules on the Human Dimensions of Global Change (HDGC). 1996. Human Driving Forces and their Impacts on Land Use/Land Cover (LULC). Association of American Geographers. Adaptation for the web was done by Robert E. Ford. Original material produced by Susanne Moser and Susan Hanson of the HDGC Project, Clark University, George Perkins Marsh Institute, School of Geography, 950 Main St., Worcester, MA 01610.

As stated in the HDGC module above, LULC researchers are asking fundamental science questions such as:

  • What forces drive land use/land cover change?

  • What impacts -- direct and indirect, now and in the future -- do these changes have on the environment and on human society? and lastly,

  • How can we respond to these changes most effectively?

This module introduces the student to the complexities inherent in these questions. Its main focus, however, is on the first of these questions. In the first unit of the module students are introduced to the human dimensions of global change, and they learn about the central role that the study of land use/land cover change plays within the larger field of global environmental and climatic change.

This new LLU-ESSE21 LULC Module will "brings to life" the concepts and tools introduced in the older HDGC module by providing real live cases in real places where the questions and issues are not just academic, but essential to defining new approaches to management of natural resources that will hopefully lead us in a direction of true sustainability. Learn more about the sustainability theme atthe Science and Technology for Sustainable Development Forum and the Core Questions they focus on. See their key sustainability science readings as well.

 

10) Resources Needed:

 

11) Key Documents and Reading:

 

I. MORE READINGS under these online ESS-oriented courses from LLU:

II. Key Readings/Web Resources:

 

 

12) Procedures and Activities for this Learning Unit (with time required)

See special section entitled: LAB GUIDE - INSTRUCTIONS FOR LEARNERS

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13) Background Prerequisites:

 

14) Learning Styles:

Best approach is the active learning (learner-oriented pedagogy) approach. See National Research Council report; How Students Learn: History, Mathematics, and Science in the Classroom. It discusses importance of:

15) Common misconceptions:

 

16)Frequently asked questions (FAQs):

 

General FAQ:

 

Other Existing FAQs:

NOAA - Coastal Services Center:

GPS conversion of waypoints, tracklogs, and routes to ArcGIS/ArcView shapefiles.

GO TO DNR Garmin Extension for ArcView:

 

 

17) Assessment:

Students will produce a map or other series of graphics as the final product using the following rubric and criteria--see HERE--map checklist.

 

18) Glossary of Key Terms (in English and Spanish):

ENGLISH TERMS TERMINOS CLAVES EN ESPANOL
A Priori and A Posteriori Systems Sistemas A Priori y A Posteriori Systems
AFRICOVER Project Proyecto AFRICOVER
Banana republic Republica bananera
Biodiversity and conservation (BIOL 549) Biodiversidad y conservacion (BIOL 549)
Biodiversity hotspots ‘zonas calientes’ (hotspots)
Change detection Deteccion de cambio
Coastal zone management (CZM) Manejo de zonas costeras
CORINE Land Cover Inventory (European Union) CORINE Land Cover Inventory (European Union)
Data format types in satellite imagery Formatos de fichas de datos satelitales
ESS ( Earth System Science) Ciencia de la sistema de la tierra
ESSE21 Project Proyecto ESSE21
FAOs GLCN/LCCS Concept Concepto GLCN/LCCS de FAO
FAO/GLCN/LCCS (Land Cover Classification System) - Global Land Cover Network FAO/GLCN/LCCS (Land Cover Classification System) - Global Land Cover Network
FRA 2000 - Global Forest Resources Assessment Evaluacion de los recursos forestales
Geographic coordinate systems:

See - WGS84 Lat/Long > UTM Coordinate Converter (courtesy Chuck Taylor) - Locating a Point on the Earth

Coordinados geograficos:

Vea - WGS84 Lat/Long > UTM Coordinate Converter (courtesy Chuck Taylor) - Locating a Point on the Earth

Global change Cambio global
Global Land Cover Characterization Program (GLCCP) - USGS Global Land Cover Characterization Program (GLCCP) - USGS
GLCF - Global land Cover Facility Instituto de Cobertura Global
GPS (see Powerpoint) GPS (vea - Powerpoint)
Ground-truthing Prueba de campo
Habitat/ecosystem characterization Caracterizacion de habitat y ecosistemas
Honduras' - Pacific and Atlantic Coast geography Geografia costera del Pacific y Atlantico
Human Agency within global change Agencia humana en cambio global
Human dimensions of global change (HDGC) - see HDGC Key Terms Las dimensiones humanas del cambio global (HDGC)
Human driving forces Fuerzas impulsoras
IGBP/IHDPs LUCC Program IGBP/IHDPs LUCC Program
Image processing (see Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro Image processing (see Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro
IMARS - Institute for Marine Remote Sensing IMARS - Institute for Marine Remote Sensing
Integrated river basin management Manejo integrado de cuencas hidrograficos
LULC - Land Use vs. Land Cover Uso de tierra/cobertura terrestre
Land classes Classes terrestres
LANDSAT 7 LANDSAT 7
LLU-ESSE21 Mesoamerica project Proyecto LLU-ESSE21 Mesoamerica
LUCAS (Land Use Cover Area Frame sampling Survey) Eurostat/2001 LUCAS (Land Use Cover Area Frame sampling Survey) Eurostat/2001
MEA - Millennium Ecosystem Assessment MEA - Millennium Ecosystem Assessment
Mesoamerican Biological Corridor (see also Mesoamerican cultures) Corredor Biológico de Mesoamerica
Millennium Coral Reef Mapping Project, Landsat Coral Reef Archive Millennium Coral Reef Mapping Project, Landsat Coral Reef Archive
Mitigating forces of global change Mitigación de fuerzas de cambio global
NASA EOS (Earth Observing System) - satellites and sensors NASA EOS (Earth Observing System) - satelites y sensores
Neotropical dry tropical forest Bosque neotropical seco
Protected areas (Honduras)

Areas Protejidas (Honduras)

Proximate sources of global change Fuentes de cambio global proximados
Remote Sensing and GIS (ESSC 541-542) Remote Sensing and GIS (ESSC 541-542)
Ridge-to-Reef watershed approach Manejo de cuencas - method > Ridge-to-Reef
Spatial Data Infrastructure (SDI) - see NSDI Infrastructure de Datos espaciales (IDE) - see NSDI
Standard Fruit Company Standard Fruit Company
Supervised/unsupervised classification of satellite imagery Clasificacion de imagenes supervisado y no-supervisado
Sustainability science Ciensa de sostenibilidad
Training sites Sitios de verificacion de campo

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19) Suggestions for follow-on studies:

Global Change and Local Places: Estimating, Understanding, and Reducing Greenhouse Gases. Association of American Geographers GCLP Research Team. (ISBN-10: 0521809509 | ISBN-13: 9780521809504). Cambridge University Press.

  • Also available in eBook format
  • Published June 2003 | 290 pages | 247 x 174 mm

20) References:

To come....

 

 

21) Copyright and Acknowledgments:

 

Copyright Issues:

LLU-ESSE21 Mesoamerica project logoAll rights reserved by Robert E. Ford, Professor, Loma Linda University, and PI of the LLU-ESSE21 Project. Permission to use for educational purposes is granted as long as proper credit is given.

 

 

If there are questions or requests please contact:


Robert E. Ford, M.P.H., PhD
Professor, International Sustainable Development,
Social Policy and Social Ecology, and Earth System Science

Doctoral Program in Social Policy and Social Research,
Department of Social Work and Social Ecology, and
Department of Earth and Biological Sciences,
School of Science and Technology,
Loma Linda University
, Loma Linda, CA 92350

Email: rford@llu.edu
Office Phone: (909) 558-7507
Fax: (909) 558-0450

Acknowledgments:

ESSE21 logoPartial support for production of this learning module goes to the USRA/ESSE21 Project and the science coordinator, Martin Ruzek, the Director, Donald Johnson and others on the ESSE21 Design Guide team.

 

Other partner universities within the ESSE21 network who provided direct feedback on use of this module in the classroom:

Key Imagery Data and Web Services Partner -- GeoBrain/NEHEA Project (NASA EOS Higher-Education Alliance) (LAITS) George Mason University:

Geobrain logoLAITS logo Landsat icon

 

LLU-ESSE21 Mesoamerica project logo

 

 

 

 

 

We also give grateful aknowledgements to our collaborators in the field--in Honduras and elsewhere--who have participated in the LLU-ESSE21 Mesoameroca Project. We want to recognize their efforts and support which came in in may ways: contribution of data, feedback in the classroom or field, logistics support, scientific advise, training, and funding. We specifically want to thank our academic, NGO, and government partners in Honduras:

 

 

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