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Agricultural, Water, and Health-Related Satellite Products from NESDIS-STAR. Felix Kogan NOAA/NESDIS Center for Satellite Applications and Research. October 2010. AVHRR Data for Land Use. Sensor: Advanced Very High Resolution Radiometer (AVHRR).

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Agricultural water and health related satellite products from nesdis star

Agricultural, Water, and Health-Related Satellite Products from NESDIS-STAR

Felix Kogan

NOAA/NESDIS

Center for Satellite Applications and Research

October 2010


Avhrr data for land use
AVHRR Data for Land Use from NESDIS-STAR

Sensor: Advanced Very High Resolution Radiometer (AVHRR)

Satellites: NOAA-7, 9, 11, 14, 16, 17 (morn.),18, 19

Data Resolution:Spatial - 4 km (GAC), 8 & 16 km; Temporal - 7-day composite

Period: 30-year(1981-2010)

Coverage:World (75 N to 55 S)

Channels: VIS (ch1), NIR (ch2), Thermal (ch4, ch5)


Theory vegetation vs vis nir reflectance
THEORY from NESDIS-STARVegetation vs. VIS & NIRreflectance


Theory crops reflectance citrus tomatoes sorghum cotton
THEORY from NESDIS-STARCrops’ Reflectance (Citrus, Tomatoes, Sorghum, Cotton)

NIR reflectance depends on

WATER CONTENT

CELL STRUCTURE

VIS reflectance depends on

CHLOROPHYLL

CAROTENOID


Ndvi reflectance
NDVI & Reflectance from NESDIS-STAR

NDVI= (Ch2-Ch1)/(Ch2+Ch1)


Ndvi smoothed ndvi
NDVI & Smoothed NDVI from NESDIS-STAR

Eliminate high frequency noise

Emphasize seasonal cycle

Separate medium & low frequency variations


Ndvi rainfall mean sudan
NDVI & Rainfall (% mean), SUDAN from NESDIS-STAR

115%

73%

95%

51%



Avhrr products
AVHRR PRODUCTS from NESDIS-STAR

Vegetation condition index (VCI), values 0 - 100

VCI=(NDVI-NDVImin)/(NDVImax-NDVImin)

NDVImax, and NDVImin – climatology (1981-2000 maximum and minimum NDVI for a pixel;

Temperature condition index (TCI), values 0 - 100

TCI=(BTmax-BTmin)/(BTmax-BTmin)

NDVImax, and NDVImin – climatology (1981-2000 maximum and minimum NDVI for a pixel

Vegetation Health Index (VHI), values 0 – 100

VHI=a*VCI+(1-a)*TCI

0 – indicates extreme stress

100 – indicates favorable conditions

MOISTURE

THERMAL

VEG. HEALTH


Ndvi vegetation health vh
NDVI & Vegetation Health (VH) from NESDIS-STAR

NDVI

VH


Drought 1988 usa june 28
Drought 1988, USA from NESDIS-STARJune 28

Severe Moisture and Thermal Vegetation Stress


Drought 1988 week 27 satellite in situ data
Drought 1988, Week 27 from NESDIS-STAR, Satellite & In Situ Data



Wheat density vs vci
Wheat Density vs VCI from NESDIS-STAR

1991 1992

May Jun Jul Aug Sep May Jun Jul Aug Sep


Sep 30 2010 vci vs soil moisture ukraine
Sep 30, 2010: VCI vs Soil Moisture from NESDIS-STARUKRAINE

VCI

0-20 cm

Soil Moisture Anomaly


Vhi and biomass mongolia
VHI and Biomass, from NESDIS-STARMongolia

1988 1989


Corn yield vs vci midwest usa
Corn Yield vs VCI from NESDIS-STARMidwest, USA

Corn Yield - normalized for Midwestern CRD

VCI – mean for CRD


Vh and crop yield
VH and Crop Yield from NESDIS-STAR

MOROCCO -Wheat

R

U

S

S

I

A

A

R

G

E

N

T

I

N

A

MONGOLIA - Pasture

Kansas, USA


Correlation of wheat yield anomaly with vh indices precipitation temperature anomaly saratov russia
Correlation of Wheat Yield anomaly with VH Indices, Precipitation & Temperature anomalySaratov, RUSSIA

Yield

dYvsVHI,VCI&TCI

dYvsdP

dYvsdT


Dy vs vci correlation kansas
dY vs VCI Correlation Precipitation & Temperature anomaly, KANSAS

P

H

H

S

H

P

H


Modeling agricultural production kansas usa
Modeling Precipitation & Temperature anomalyAgricultural Production KANSAS, USA


Vegetation health and agriculture ukraine
Vegetation Health Precipitation & Temperature anomaly and Agriculture, UKRAINE

2002 & 2004 – NOAA-16 satellite identify good vegetation health (green) resulted in high yield 2.75 & 2.84 t/ha

t/ha

2.7

2003 – Intensive Drought (red) caused 35% losses in grain yield (1.84 t/ha) versus the years before and after

1.8

ADDRESS:

- Ecosystem Health

- Agriculture

- Food Security

2.8

PLAN

Use NOAA/AVHRR Data 4 km resolution


2007 drought dynamics focus on southern russia ukraine from noaa 18 vegetation health index vhi
2007 Drought Dynamics: Precipitation & Temperature anomalyFocus on Southern RUSSIA & UKRAINE from NOAA-18 Vegetation Health Index (VHI)

Beloruss

Russia

UKRAINE

Rumania

Bulgaria

Georgia

Turkey

Syria

Iraq

  • Vegetation Health (red) deteriorated from April through the end of the growing season, especially in the main areas of winter wheat

  • VHI is derived from NOAA/AVHRR data and estimates greenness, vigor and thermal conditions of vegetation


JUNE Precipitation & Temperature anomaly

www.rsindexbasedcropinsurance2010.com


Vegetation condition 2010
Vegetation Condition 2010 Precipitation & Temperature anomaly


Vegetation health dynamics usa drought detection dd
Vegetation Health Dynamics, USA Precipitation & Temperature anomalyDROUGHT DETECTION (DD)


Dd drought dynamics from vegetation health index
DD Precipitation & Temperature anomaly: Drought Dynamicsfrom Vegetation Health Index

1999 2000

No

Drought

Drought


Dd 2007 vegetation health odessa obl ukraine
DD Precipitation & Temperature anomaly: 2007 Vegetation Health, Odessa obl., UKRAINE

Moisture

Healthy

DROUGHT

Thermal


Drought area intensity dai severe to exceptional drought from the world area 2000 2010
Drought Area & Intensity (DAI) Precipitation & Temperature anomalySevere-to-Exceptional Drought (% from the World area), 2000-2010


Dai estimated from avhrr based vegetation health index
DAI: Precipitation & Temperature anomalyEstimated from AVHRR-based Vegetation Health Index

No Data


Dai ukraine all

MAX Precipitation & Temperature anomaly

10%

20%

50%

80%

DAI: UKRAINE, All


Extreme drought area 1991 2009
Extreme Drought Area, 1991-2009 Precipitation & Temperature anomaly


Vegetation stress june 2008
Vegetation stress, June, 2008 Precipitation & Temperature anomaly

DROUHGT-red

Soil Saturation- white


Soil saturation index ssi june 8 27 2008 midwest usa
Soil Saturation Index (SSI) Precipitation & Temperature anomalyJune 8-27, 2008, Midwest, USA

June 8-14

June 15-21

June 22-27


Area from a state of saturated and flooded soil midwestern states usa 2008
Area (% from a state) of saturated and flooded soil Precipitation & Temperature anomalyMidwestern states, USA, 2008

%

MAY JUNE

MAY JUNE

1 15 31 1 15

Week


Web Precipitation & Temperature anomaly

http://www.orbit.nesdis.noaa.gov/smcd/emb/vci


Vegetation health october 21 2010
Vegetation Health Precipitation & Temperature anomalyOctober 21, 2010


Vegetation health october 21
Vegetation Health Precipitation & Temperature anomalyOctober 21


Drought fire risk october 21 2010
Drought & Fire Risk Precipitation & Temperature anomalyOctober 21, 2010

Drought Fire Risk


Percent drought area in the major corn belt of brazil
Percent drought area in the major corn belt of BRAZIL Precipitation & Temperature anomaly


Oct 21 2010 vh change from oct 14 2010 a oct 21 2009 b
Oct 21, 2010 VH Change from Precipitation & Temperature anomalyOct 14, 2010 (A) & Oct 21, 2009 (B)


Drought change on oct 21 2010
Drought change on Oct 21, 2010 Precipitation & Temperature anomaly


Wheat yield russia
Wheat Yield Precipitation & Temperature anomalyRUSSIA

Russia produces 65% WW & 35% SW

  • Figure shows dynamics of Vegetation health (VH)

  • 2007 WW analogue was 2001 VH

  • WW yield is expected at or 1-3% below LTT or 1.9 t/ha

  • Figure shows dynamics of Vegetation health (VH)

  • 2007 SW analogue was 2001 VH

  • SW yield is expected 5-7% above long-term trend (LTT)

Total wheat is expected at or slightly below LTT (1.96 t/ha)



Vegetation health soybeans area brazil
Vegetation Health, Soybeans area, BRAZIL crop growing area of BRAZIL, 2010


Vci tci dynamics soybeans area 2010 vs 2008 brazil
VCI & TCI Dynamics crop growing area of BRAZIL, 2010Soybeans area 2010 vs 2008, BRAZIL


PROBLEMS? crop growing area of BRAZIL, 2010


Ndvi 2010 week 40
NDVI 2010 week 40 crop growing area of BRAZIL, 2010

GVI-x

N18

MGVI

N19

Difference


Bt4 2010 week 40
BT4 2010 week 40 crop growing area of BRAZIL, 2010

MGVI

N18

MGVI

N19

Difference


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