# 1 MSTS/2004 - Intro ROLES FOR STATISTICS IN 21 ST CENTURY MONITORING AND ASSESSMENT SYSTEMS ROLES...

# 1MSTS/2004 - Intro

ROLES FOR STATISTICS IN ROLES FOR STATISTICS IN 2121STST CENTURY CENTURY MONITORING MONITORING

ANDAND ASSESSMENT SYSTEMS ASSESSMENT SYSTEMS

N. Scott Urquhart

Director of STARMAP

Department of Statistics

Colorado State University

Fort Collins, CO 80523-1877 - USA


OVERVIEW OF THIS THEMEOVERVIEW OF THIS THEME

PERSPECTIVES PLENARY SESSIONS

Today CASE STUDIES

Tomorrow = Wednesday LINKING THE TWO PERSPECTIVES

Thursday Morning TUTORIAL = How To Design and Implement

Natural Resource Surveys Thursday Afternoon


SURVEY PERSPECTIVESSURVEY PERSPECTIVES

REMOTELY-SENSED RESPONSES HAVE A MAJOR ROLE

Ground-Based Responses Have an Auxiliary Role Often as “ground truthing”

IN CONTRAST TOIN CONTRAST TO

GROUND-EVALUATED RESPONSES HAVE A MAJOR ROLE

Remotely-Sensed Responses Have an Auxiliary Role Often serving as “covariates”


REMOTELY-SENSED RESPONSESREMOTELY-SENSED RESPONSES

WHAT ARE THEY? Usually They are Sensed from Images Obtained from an

Aerial Platform Aerial photography Imaging from a space vehicle

Spectral reflectance – fairly well established Radars – emerging Often complete coverage

Devices attached to a place, animal or robot Stream flow Sense things like location and temperature Deer to bees


REMOTELY-SENSED RESPONSESREMOTELY-SENSED RESPONSES(Continued)(Continued)

WHAT ARE THEY? Usually They are Sensed from Images Obtained from an

Aerial Platform Aerial photography Imaging from a space vehicle

Classify parts of the image

» Automatic – computer based

» Manually Evaluate the size of various classes, like

» Land use classes

» Vegetation type


GROUND-EVALUATED RESPONSESGROUND-EVALUATED RESPONSES

CONTRASTING PERSPECTIVECONTRASTING PERSPECTIVE Data is Obtained by Personnel Visiting the

Field Site of Interest At the field site, personnel may

Collect material – for subsequent lab evaluation Directly evaluate responses Or both – common in aquatic studies

Frequent realities Many responses will be evaluated Design can not be optimized for all responses


GROUND-EVALUATED RESPONSESGROUND-EVALUATED RESPONSES(Continued)(Continued)

Site Selection Process Area of interest may be partitioned into disjoint areas

A sample of areas will be visited

Points may be selected in some manner Field crews go to site

Resource of interest may, or may not, be there


OVERVIEW OF THIS THEMEOVERVIEW OF THIS THEME

PERSPECTIVES PLENARY SESSIONS - OVERVIEW

Today

CASE STUDIES = EXAMPLES Tomorrow = Wednesday

LINKING THE TWO PERSPECTIVES Small area or local estimation Thursday Morning

TUTORIAL = How To Design and ImplementNatural Resource Surveys

Thursday Afternoon


PLENARY SESSIONS = PLENARY SESSIONS = OVERVIEWOVERVIEW

Remotely-Sensed Responses (This session 1:30 – 3:00)

On Remotely-Sensed Responses Raymond (Ray) Czaplewski

Ground-Evaluated Responses (Next session 3:45 – 5:15)

Statistical Perspective on the Design and Analysis of Natural Resource Monitoring Programs Anthony (Tony) R. Olsen

Overview of FIA Ronald (Ron) McRoberts

{Schedule change} Hans Schreuder to Wednesday @ 1:30 Steven Fancy to Thursday @ 11:45


CASE STUDIES = EXAMPLESCASE STUDIES = EXAMPLES

Programs Utilizing Remotely-Sensed Responses Session 031101 – Chair = Trent McDonald

National Resources Inventory Wayne Fuller, & others

National Wetlands Inventory Tom Dahl

Date/Time: Tomorrow = Wednesday, 9/22/04 8:30 – 9:30 9:30 – 10:00 – time for discussion


CASE STUDIES = EXAMPLESCASE STUDIES = EXAMPLES(Continued)(Continued)

Programs Utilizing Ground-Evaluated Responses Session 031101 - Continued

The United States National Agricultural Survey Carol House

Integrated State-Federal Partnership for Aquatic Resource Monitoring in the United States for Groundwater Using Existing Wells Anthony (Tony) R. Olsen

Forest Inventory and Analysis Program of the United States Department of Agriculture Michael (Mike) Williams & others

Date/Time: Tomorrow = Wednesday, 9/22/04 10:45 – 12:15



Realities of Conducting Natural Resource Surveys – Chair = Mike Williams

Session 041102 – Continued The Past, Present, and Future of Sampling Natural

Resources: An Economic and Statistical Perspective Hans Schreuder

Interagency Cooperation in Natural Resource Surveys J. Jeffery Goebel

Wildlife Monitoring: Success Requires More than a Good Sampling Design Kenneth P. Burnham

Date/Time: Tomorrow = Wednesday, 9/22/04 1:30 – 3:00



Not Represented Alberta Biodiversity Monitoring Program (ABMP)

http://www.abmp.arc.ab.ca/ Cooperative venture: government, academia & industry

Minimally Represented = Surveys of animal populations

Very different study requirements from most of the cases discussed here

Often, finding the animals constitutes a major undertaking

Frequently, some sort of modeling plays a major role Nevertheless, many of the same ideas have to be addressed


LINKING THE TWO PERSPECTIVESLINKING THE TWO PERSPECTIVES

Small Area Estimation and Model-Based Inference Session 051105 -- Gretchen Moisen organized this

Small Area Estimation for Natural Resource Surveys F. Jay Breidt

Evaluating Standards Using Data Collected From Regional Probabilistic Monitoring Programs Eric P. Smith & others

Non-linear Small Area Estimation in the National Resources Inventory Survey Tapabrata (Taps) Maiti

Date/Time: Thursday, 9/23/04 8:30 – 10:00


LINKING THE TWO PERSPECTIVESLINKING THE TWO PERSPECTIVES(Continued)(Continued)

Small Area Estimation and Model-Based Inference Session 051105

Use of Model-based Stratifications for Sampling Rare Ecological Events: Lichens as a Case Example Thomas C. Edwards & others

Developing Risk-based Guidelines for Water Quality Monitoring and Evaluation: The Australian Experience David Fox

Long-term Monitoring of Large, Remote Areas with Minimal Funding: Hope and Encouragement for Natural Area Managers Steven Fancy



TUTORIAL:TUTORIAL:

HOW TO DESIGN AND IMPLEMENTHOW TO DESIGN AND IMPLEMENTNATURAL RESOURCE SURVEYSNATURAL RESOURCE SURVEYS

A Tutorial on Designing Natural Resource Surveys: ConceptsConcepts to Implementation

Session 061104 Instructor = Urquhart Structured around the Anatomy Of Sampling Studies

Of Ecological Responses Through Time Urquhart & Olsen



TUTORIAL:TUTORIAL:

HOW TO DESIGN AND IMPLEMENTHOW TO DESIGN AND IMPLEMENTNATURAL RESOURCE SURVEYSNATURAL RESOURCE SURVEYS

(Continued)(Continued)

A Tutorial on Designing Natural Resource Surveys: Concepts to ImplementationImplementation

Session 061104 The Generalized Random Tessellation Stratified Sampling Design for

Selecting Spatially-Balanced Samples Don L. Stevens

GRTS for the Average Joe: Implementing GRTS in Windows and S-Plus Trent L. McDonald

Robust Spatial Sampling of Natural Resources Using a GIS Implementation of the GRTS Algorithm David M. Theobald



SUMMARY SESSIONSUMMARY SESSION

Unified Knowledge-Based Strategies and Solutions Ray Czaplewski

USDA, Forest Service Richard W. Guldin

Science Policy, … , USDA Forest Service-Research & Development Keith Pezzoli

University of California @ San Diego Greg Reams

Forest Health Monitoring, USDA Forest Service Carl Reed

Specification Program, Open GIS Consortium, Inc Date/Time: Friday, 9/24/04

8:30 – 12:00 If any of these people are here, please see me.


FIRST PLENARY SPEAKERFIRST PLENARY SPEAKER

Raymond (Ray) Czaplewski Project Leader, Forest Invent. & Monitoring Envi.. USDA-Forest Service-Rocky Mountain Research Station,

Fort Collins, CO Received his PhD in Range Science from Colo State Univ Earlier in his career he held positions as a statistician and

landscape ecologist. Professional interests include:

Integration of remotely sensed data from earth-observing satellites into monitoring processes;

Ecological process models; and Field observation.

On Remotely-Sensed ResponsesOn Remotely-Sensed Responses


SECOND PLENARY SPEAKERSECOND PLENARY SPEAKER

Anthony (Tony) R. Olsen Statistics Lead, Environmental Monitoring & Assessment

Program (EMAP) EPA’s-Western Ecology Division, Corvallis, OR Received his PhD in Statistics from Oregon State Univ

His professional interests include: Statistical aspects of monitoring and assessment, monitoring design; Survey sampling; Exploratory data analysis; and Graphical data analysis and graphical communication.Graphical data analysis and graphical communication.

Statistical Perspective on the Design and Analysis of Statistical Perspective on the Design and Analysis of Natural Resource Monitoring ProgramsNatural Resource Monitoring Programs


THIRD PLENARY SPEAKERTHIRD PLENARY SPEAKER

Ronald (Ron) McRoberts Group Leader for Research for the Forest Inventory &

Analysis Program North Central Research Station, USDA-Forest Service He received a PhD in biostatistics from the Univ. of

Minnesota. His research interests include:

Nonlinear modeling, Land cover & land change, and Map-based estimation of forest attributes.

Overview of FIA

# 1 MSTS/2004 - Intro ROLES FOR STATISTICS IN 21 ST CENTURY MONITORING AND ASSESSMENT SYSTEMS ROLES...

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