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CHAPTER 11CHAPTER 11CHAPTER 11:CHAPTER 11:Remote Sensing ofRemote Sensing of
VegetationVegetationREFERENCE: Remote Sensing REFERENCE: Remote Sensing of the Environment of the Environment John R. Jensen (2007)John R. Jensen (2007)Second EditionSecond EditionPearson Prentice HallPearson Prentice Hall
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THE EARTH'S SURFACETHE EARTH'S SURFACE
The earth's surface. This is a composite of numerous satellite images, each selected to becloud-free. It is unrealistic because, at any moment, half of the Earth is in nighttimedarkness and much of it is cloud-covered. But this beautiful image lets us view the entiresurface at once. It shows densely vegetated regions in green, dry deserts in yellow orbrown, and ice-covered regions in white.
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VEGETATION INDEXVEGETATION INDEX
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Remote Sensing of Vegetation Remote Sensing of Vegetation
Spectral Spectral CharacteristicsCharacteristicsCharacteristicsCharacteristics
Dominant Factors Controlling Leaf Reflectance
Water Water absorption
bands:0.97 m1.19 m1.45 m1.94 m2.70 m
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Cross-section Through A
Hypothetical and fReal Leaf
Revealing the Major Structural Components that
Determine the Spectral
Reflectance of Vegetation
Interaction of leaf structurewith visible and NIR radiation
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Absorption Spectra of Chlorophyll a and b,
-carotene, Pycoerythrin, and Phycocyanin Pigments
orpt
ion
Effi
cien
cy
Chlorophyll a
Chlorophyll bAbsorption Spectra
of Chlorophyll a and b
lack of absorption
0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7violet blue green yellow red
Abs
o
PhycoerythrinPhycocyanin
ncy
a. Wavelength, m
Chlorophyll apeak absorption is at 0.43 and 0.66 m.
Chlorophyll bpeak absorption is at 0 45 and 0 65 m
-carotene
0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7violet blue green yellow red
Wavelength, m
Abs
orpt
ion
Effic
ien
b.
0.45 and 0.65 m.
Optimum chlorophyll absorption windows are:
0.45 - 0.52 m and 0.63 - 0.69 m
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Litton Emerge Spatial, Inc., CIR image (RGB = NIR,R,G) of
Dunkirk, NY, at 1 x 1 m obtained on December 12, 1998.
Natural color image (RGB = RGB) of a N.Y. Power Authority lake at 1 x 1 ft
obtained on October 13, 1997.
Spectral Reflectance
Characteristics of
SweetgumLeaves
(Liquidambar styraciflua L.)
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1 2
a
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Spectral Reflectance
Characteristics of Selected
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Green leaf
Yellow
145
40
a.
b.
c.
Areas ofBlackjack Oak
Leaves
0
5
10
15
20
25
30
35
Blue (0.45 - 0.52 m)
Perc
ent R
efle
ctan
ce
Yellow
Red/orange
Brown 4
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Green (0.52 - 0.60 m)
Red (0.63 - 0.69 m)
Near-Infrared (0.70 - 0.92 m)
d.
Hemispherical Reflectance, transmittance, and Absorption Characteristics of Big Bluestem Grass
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Hypothetical Example of
Additive Reflectance
from A Canopy with
Two Leaf Layers
Distribution of Pixels in a Scene in Red and Near-infrared Multispectral
Feature Space
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Reflectance Response of a Single Magnolia Leaf
(Magnolia grandiflora) to Decreased Relative Water Content
Airborne Visible
Infrared Imaging
Spectrometer Spectrometer (AVIRIS)
Datacube of Sullivans
Island Obtained on October 26,
1998
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Imaging Spectrometer Data of Healthy Green Vegetation in the San Luis Valley of Colorado Obtained on
September 3, 1993 Using AVIRIS
224 channels each 10 nm wide with 20 x 20 m pixels
Hyperspectral Analysis of
AVIRIS Data Obtained on
September 3, 1993 of San Luis Valley,
Colorado
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Goniometer in Operation at North Inlet, SC
Remote Sensing of Vegetation Remote Sensing of Vegetation
Temporal Temporal ((PhenologicalPhenological) ) CharacteristicsCharacteristicsCharacteristicsCharacteristics
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Predicted Percent Cloud Cover in Four Areas in the United States
Phenological Cycle of Hard Red Winter Wheat in the Great Plains
Winter Wheat Phenology
snow cover
JULJUNMAY AUGAPRMARFEBJANDECNOVOCTSEP
crop establishment
10 14
greening up heading mature
14 14 21 13 425 7 9 5 21 29 34 28 108 days 50
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Sow TilleringEmergence
Dormancy Growth resumes
Heading Boot
Dead ripe
Hard doughSoft dough
Harvest
Jointing
Maximum Coverage
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Phenological Cycles of San Joaquin and
Imperial Valle Valley,
California Crops and Landsat
Multispectral Scanner Scanner
Images of One Field During A
Growing Season
LandsatThematic MapperImagery
of the Band 1 (blue; 0 45 0 52m) Band 2 (green; 0 52 0 60m) Band 3 (red; 0 63 0 69m) of the Imperial Valley,
California Obtained
on
Band 1 (blue; 0.45 0.52 m) Band 2 (green; 0.52 0.60 m) Band 3 (red; 0.63 0.69 m)
Band 4 (near-infrared; 0.76 0.90 m) Band 5 (mid-infrared; 1.55 1.75 m) Band 7 (mid-infrared; 2.08 2.35 m)
December 10, 1982
Band 6 (thermal infrared; 10.4 12.5 m)
Sugarbeets
Alfalfa
Cotton
Fallow
feed lot
fl
Ground Reference
Landsat Thematic Mapper Imagery of
Imperial Valley, California, December 10, 1982
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Landsat Thematic
Mapper Color Composites
and and Classification
Map of a Portion of the
Imperial Valley, Valley,
California
Phenological Cycles of Soybeans
and Corn in S th
JUN MAY APR MAR FEB JAN DEC NOV OCT SEP
Initial growth Harvest Maturity
snow cover 25 cm height
50
75
100
125
Dormant or multicropped
Soybeans
100% ground cover
JUL AUG
Development
50%
a.
SoybeansSoybeans
South Carolina
125
150
200
250
300
Corn
100%
b.
CornCorn
JUN MAY APR MAR FEB JAN DEC NOV OCT SEP
Dent/Harvest Tassle 8-leaf
snow cover 25 cm height
50
75
Dormant or multicropped
JUL AUG
Dormant or multicropped
100
10 - 12 leaf
12-14 leaf
Blister
50%
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Phenological Cycles of Winter Wheat,
JULJUNMAY AUGAPRMARFEBJAN DECNOVOCTSEP
SeedTillering Booting HarvestJointing
snow cover 25 cm
50
75
100
100% ground cover 50%
Head Dormant or multicropped
Winter Wheat
Winter Wheat 150
a.
b. Wheat, Cotton, and Tobacco in
South CarolinaJUN MAY APR MAR FEB JAN DEC NOV OCT SEP
Seeding Maturity/harvest Boll
Winter Wheat Phenology
snow cover 25 cm height
50
75
100
125
Dormant or multicropped
Cotton
100% ground cover
JUL AUG
Fruiting
Pre-bloom
50%
125
b.
JUN MAY APR MAR FEB JAN DEC NOV OCT SEP
Development Maturity/harvest Transplanting
snow cover 25 cm height
50
75
100
125
Dormant or multicropped
Tobacco 100%
JUL AUG
Topping
50%
Dormant or multicropped
c.
Phenological Cycle of Cattails and Waterlilies in Par Pond, S.C.
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Phenological Cycle of Smooth Cordgrass (Spartina alterniflora) Biomass in South Carolina
1500Live Biomass
Smooth Cordgrass ( Spartina alterniflora )
500
750
1000
1250
eigh
t Bio
mas
s, g/
m2 Dead Biomass
J A S O N0
250
500
Dry
W
F M A M J J D
Nine Bands of 3 x 3 m
Calibrated Airborne
M ltispect al Multispectral Scanner
(CAMS) Data of Murrells Inlet, SC
Obtained on
Band 1 (blue; 0.45 0.52 m) Band 2 (green; 0.52 0.60 m) Band 3 (red; 0.60 0.63m)
Band 4 (red; 0.63 0.69 m) Band 5 (near-infrared; 0.69 0.76 m) Band 6 (near-infrared; 0.76 0.90 m) Obtained on August 2,
1997
Band 7 (mid-infrared; 1.55 1.75 m) Band 9 (thermal-infrared; 10.4 12.5 m)Band 8 (mid-infrared; 2.08 2.35 m)
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Calibrated Airborne Multispectral Scanner Data of Murrells Inlet, S.C. Obtained on August 2, 1997
Natural Color Composite
(Bands 3,2,1 = RGB)
Masked and Contrast Stretched Color Composite
Calibrated Airborne Multispectral Scanner Data of Murrells Inlet, S.C. Obtained on August 2, 1997
Color Infrared Composite (Bands
3,2,1 = RGB)
Masked and Contrast Stretched Color Composite
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Remote Sensing of Vegetation Remote Sensing of Vegetation
Instruments to Instruments to study the study the V iV iVegetationVegetation
Spectral Reflectance Measurement using a Spectroradiometer
radiometer in backpack
detector
personal computer
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In Situ CeptometerLeaf-Area-Index Measurement
LAI may be computed using a Decagon AccuparCeptometer that consists of a linear array of 80 Cepto ete t at co s sts o a ea a ay o 80adjacent 1 cm2 photosynthetically active radiation (PAR) sensors along a bar.
I id t li ht b th Q d th Incident sunlight above the canopy, Qa, and the amount of direct solar energy incident to the cept