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Field Experiences Remote Sensing GPS/GIS Applications in ...

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Geospatial Science and the<br />

College of Natural Resources,<br />

Utah State University<br />

THE USE OF REMOTE SENSING AND GEOGRAPHIC<br />

INFORMATION SYSTEMS FOR NATURAL RESOURCE<br />

MANAGEMENT<br />

Technology, Life and Careers Summer Agricultural Institute<br />

July 27th & 28th


The unique perspective of<br />

remotely sensed data<br />

provides whole landscape<br />

<strong>in</strong>terpretation and<br />

analysis possibilities<br />

This allows us to evaluate<br />

the context of field data<br />

and possibly extrapolate<br />

these data to other<br />

locations


Early <strong>Remote</strong> <strong>Sens<strong>in</strong>g</strong><br />

Platforms


B-17 Fly<strong>in</strong>g Fortress<br />

•• US US 8th 8th Air Air Force Force<br />

B-17 B-17 Fly<strong>in</strong>g Fly<strong>in</strong>g<br />

Fortress Fortress over over<br />

Berl<strong>in</strong>, Berl<strong>in</strong>, Germany Germany <strong>in</strong> <strong>in</strong><br />

World World War War II. II.<br />

Aerial Aerial photographs photographs<br />

capture capture bombs bombs<br />

from from the the unseen unseen B- B-<br />

17 17 crash crash through through<br />

the the port port horizontal horizontal<br />

stabilizer. stabilizer.<br />

Jensen,<br />

Jensen,<br />

2000<br />

2000


U-2<br />

Famous as a spy plane, the U-2 is now used as a research<br />

platform


SR-71 Blackbird


Terra<br />

The Terra Platform is the newest <strong>in</strong> a series of highquality<br />

Earth view<strong>in</strong>g remote sens<strong>in</strong>g platforms designed<br />

to monitor Earths natural resources.


Global Hawk<br />

The Global Hawk UAV belongs to a new series of<br />

advanced and autonomous remote sens<strong>in</strong>g platforms<br />

able to fly across the globe with little or no supervision.


Pathf<strong>in</strong>der<br />

Able to fly at 80,000 feet ASL, these new UAV’s are<br />

lightweight, autonomous, and can carry significant payloads<br />

for it’s size and weight.


Helios<br />

With a 247 foot w<strong>in</strong>gspan, Helios can fly above 93,000 feet ASL. Future models<br />

will be designed to stay aloft for more than 6 months. The Helios weighs<br />

approximately 1,600lbs which translates to about .81lbs/sq. ft. of w<strong>in</strong>g. The top<br />

speed is 27mph with a take-off speed of ~15 mph. The aircraft is solar powered<br />

with a polymer-electrolyte (oxygen/hydrogen) fuel cell for night time activity.


What Can We See??


April 28 th , 2004<br />

Fires <strong>in</strong> Ch<strong>in</strong>a and Russia caused<br />

mostly by agricultural burn<strong>in</strong>g.<br />

captured by the Moderate<br />

Resolution Imag<strong>in</strong>g Spectrometer<br />

(MODIS).


April 28th, 2004<br />

Dust storm <strong>in</strong> Nevada captured<br />

by the Moderate Resolution<br />

Imag<strong>in</strong>g Spectrometer (MODIS)


Flood<strong>in</strong>g along the Mississippi River,<br />

Arkansas<br />

April 17 th , 2004 April 27 th , 2004


1 meter digital black and<br />

white imagery<br />

4 meter digital color<br />

imagery


QuickBird<br />

Little Cottonwood Canyon (Snowbird and Alta, Utah) 280mi ASL, 2.3ft resolution


What Can We Do With It?


Between Year Change Detection – Urban Environment<br />

1972<br />

1982<br />

1993<br />

1997


History and<br />

Resource Monitor<strong>in</strong>g<br />

Before: Alta, Utah<br />

July 3, 1885<br />

(Courtesy Utah State<br />

Historical Society)<br />

After 115 years:<br />

Alta, Utah<br />

July 3, 2002<br />

(Courtesy Dr. Chris<br />

Cl<strong>in</strong>e Westm<strong>in</strong>ster<br />

College)


Seasonal Changes <strong>in</strong> Vegetation<br />

July-Aug<br />

Sept-Oct<br />

ETM Bands 5, 4, 3 ETM Bands 5, 4, 3


Land Cover Mapp<strong>in</strong>g<br />

Satellite imagery allows us the ability to identify and map land<br />

cover features over large or small landscapes


Mapp<strong>in</strong>g land cover us<strong>in</strong>g remote sens<strong>in</strong>g requires a<br />

significant amount of field work cover<strong>in</strong>g all possible land<br />

cover types <strong>in</strong> the area to be mapped


<strong>Field</strong> Data Collection for the<br />

Southwest Regional GAP<br />

Land Cover Map


Global Land Cover Classification Systems<br />

Materials for this lecture were extracted from the Global Land Cover Characterization Web page<br />

(http://edcdaac.usgs.gov/glcc/glcc.html)


AGRICULTURE<br />

IKONOS Satellite Images of Wheat <strong>Field</strong>s<br />

IKONOS<br />

False<br />

Color<br />

May 22, 2000 (Jo<strong>in</strong>t<strong>in</strong>g) June 6, 2000 (Boot) June 28, 2000 (Flower<strong>in</strong>g)<br />

IKONOS<br />

NDVI<br />

May 22, 2000 (Jo<strong>in</strong>t<strong>in</strong>g) June 6, 2000 (Boot) June 28, 2000 (Flower<strong>in</strong>g)


Identification of Potential <strong>Field</strong> Problems<br />

June 23, 1999<br />

July 9, 1999<br />

•August 9, 1999<br />

Unsupervised<br />

Supervised


Estimated Fertilizer<br />

Application Map from June 6,<br />

2000<br />

Yield Prediction Map from<br />

June 6, 2000<br />

Legend<br />

Red 53 gallons USA/acre, Yellow 32.8 gallons USA/acre, Cyan<br />

adequate, Royal Blue luxurious<br />

Legend<br />

0-80 bu/acre Blue, 80-90 bu/acre Turquoise , 90-100 bu/acre Aqua,<br />

100-110 bu/acre Green, 110-120 bu/acre Yellow, 120-130 bu/acre Gold,<br />

130-140 bu acre Orange, 140-150 bu/acre Red, 150+ bu/acre Maroon


<strong>Field</strong> Validation and<br />

Model Tra<strong>in</strong><strong>in</strong>g<br />

•Pictures of the Transects<br />

•Visual Observations<br />

‣Color Differences<br />

‣Number of Tillers Per Plant<br />

‣Height of Plants<br />

‣Vegetation Thickness<br />

Always Necessary!!!


Chlorophyll Meter Method<br />

• SPAD 502 chlorophyll meter made by<br />

M<strong>in</strong>olta<br />

• The meter was clamped on a leaf and<br />

pressed to give a read<strong>in</strong>g of the amount<br />

of chlorophyll <strong>in</strong> the leaf on a 1-100<br />

scale<br />

• Samples from the middle of the top leaf<br />

• Thirty samples were taken and averaged<br />

for each data po<strong>in</strong>t.


Natural Resource Management<br />

Wetland Del<strong>in</strong>eation


Critical Habitat Model<strong>in</strong>g


Net Primary Productivity and<br />

Climate Change Monitor<strong>in</strong>g<br />

January July October<br />

Feb. Mar. Apr. May. Jun. Aug. Sept. Oct. Nov. Dec.<br />

A time series of 1-km Advanced Very High Resolution Radiometer (AVHRR)<br />

data spann<strong>in</strong>g April 1992 through March 1993 was used to model land cover<br />

us<strong>in</strong>g phenological characteristics modeled us<strong>in</strong>g a Normalized Difference<br />

Vegetation Index (NDVI) of each date.<br />

In addition to monthly AVHRR NDVI, other key geographic data <strong>in</strong>cluded<br />

digital elevation data, ecoregion <strong>in</strong>terpretations, and country or regional-level<br />

vegetation and land cover maps.


MONITORING PHENOLOGICAL<br />

FLUX


Geographic Information Systems<br />

High Resolution Imagery<br />

Medium Resolution Imagery<br />

Land Use / Land Cover<br />

Geology<br />

Slope Categories<br />

Slope Aspect<br />

Elevation<br />

Data layers are geographically<br />

registered with<strong>in</strong> a database<br />

structure to allow queries between<br />

layers to generate a better<br />

understand<strong>in</strong>g of landscape dynamics<br />

and relationships.


Location X<br />

Basic <strong>GIS</strong> Database<br />

Outbreaks<br />

Municipal Boundaries<br />

School Districts<br />

Census Blocks<br />

Regions<br />

Property Boundaries<br />

Streets<br />

Hydrology<br />

County Boundaries<br />

HazMat Sites<br />

<strong>GIS</strong> Facilitates<br />

Data Integration<br />

Location can be used as the<br />

central organiz<strong>in</strong>g and <strong>in</strong>tegrat<strong>in</strong>g<br />

pr<strong>in</strong>ciple for data <strong>in</strong> multiple<br />

databases<br />

85% of government data is<br />

‘geospatial’. It relates directly to<br />

features that have a location, or, to<br />

<strong>in</strong>dividuals / entities that have an<br />

address location.<br />

Population Density<br />

Aerial Imagery

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