Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Charles Situma (charles.situma@yahoo.com) Vincent Mate Imala - - PowerPoint PPT Presentation
Charles Situma (charles.situma@yahoo.com) Vincent Mate Imala - - PowerPoint PPT Presentation
Charles Situma (charles.situma@yahoo.com) Vincent Mate Imala (vineima@yahoo.com) Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco DEPARTMENT OF RESOURCE SURVEYS & REMOTE SENSING (DRSRS) Workshop on Crop Yield
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
DEPARTMENT OF RESOURCE SURVEYS & REMOTE SENSING (DRSRS)
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Institutional and Human Capacity
Satellite Antenna Survey aircraft
Established in 1976 In 1984 upgraded to a full- fledged Department (DRSRS)
72% 28%
Professional/T echnical Staff Administratio n/Support Staff
102 staff
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Fleet of Aircraft
4
DRSRS acquired a new survey aircraft
- Cessna with modern intercom
- Aircraft arrived on 16-7-2011
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
RC 30 Survey Camera
- Black and white film
- Colour film
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Administration
Director
Deputy Director Technical Services
Accounts
Supply Chain Library Aerial Surveys Ground Surveys Remote Sensing Data Management
Air Services Assistant Director
Others
DRSRS STRUCTURE
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
DEPARTMENT OF RESOURCE SURVEYS AND REMOTE SENSING (DRSRS)
MANDATE DRSRS is mandated to capture, store, update, analyze and disseminate geo-spatial data and information on earth-based natural resources/environment to enhance spatial planning and decision making for sustainable development
Data collected and generated form the basis for research, development
- f
management plans and formulation of land use policies
MISSION
“To generate, provide and promote geo-information
- n earth-based resources
in support of planning, management and decision-making for sustainable development”.
VISION DRSRS strives to be a national centre of excellence in geo-information services
- n earth-based natural resources for
sustainable development
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
DRSRS Methods of Data Acquisition
OUTPUTS
- Maps
- Statistic
- Models
- Report
Multi-Stage Sampling Concept Stage 1: Remote Sensing Approach
Orbiting Space Satellite (3,000 - 35,000 km) Advantages: - Cheap, faster, synoptic, covers wide area and easily comparable
Stage 3: Ground Surveys/Measurement
Attribute identification, scale accuracy and socio-economic surveys Cost Implication: Often expensive and time consuming
Stage 2: Aerial Surveys
Low-High Flight Aircraft
- Aerial Photography (100-3,000m)
- Animal Census (100-200m)
Costs Implication: Dependent on size
- f
area, sampling resolution and efforts
Scale Scale
Satellite Imagery - Land cover High Level Photography: Land cover / use Wildlife Livestock
Conventional Scientific Methods
GIS Servers
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Overview of Crop Monitoring in Kenya
Started in 1984 following prolonged drought
episode
The impact was
Famine and hunger affected 60% of the
population
Over 17% of livestock were decimated The cost incurred affected normal
Government development plan
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Impacts of Drought
Example: Year 2000 Drought Devastation
The government declared the episode a
national disaster
WFP incurred US$ 102 million on food relief
in 2000 -2001 Example: Year 2008/9 Drought Devastation
Government spent in excess of US $. 169
million on relief food to combat the drought emergency
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
STRATEGY
- Launched a crop monitoring programme
using remote sensing techniques
- The Department of Resource Surveys and
Remote Sensing (DRSRS) was tasked to undertake this exercise
- DRSRS mandated to provide statistical
estimates on area and yield under crop
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Overview of Crop Forecast in Kenya
Maize and wheat are the main staple food in Kenya
accounting for over 80 percent of total cereals used at a household level
Rice is the third most consumed cereal Each year the Food Steering Committee (FSC) of the
Office of State, Special Programmes require information on Area, Yield and Production of these cereals
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Overview of Major Food Crops in Kenya Cereals:
Maize, Wheat, Rice, Sorghum, Millet
Root Tubers:
Irish Pototoes, Sweet Pototoes, Cassava, etc
Pulses
Beans, peas, etc
Nuts
Ground nuts, Cashew Nuts, etc
Livestock Products
Milk, Meat, etc
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Population density/Sq.Km Low : <50 Moderate: 51 - 100 High: 101 - 500 Very high: >501
300 600 Kilometers N
Legend
Spatial Population Distribution
60’s-70s 80’s-90’s 90’s – 2000’s 70’s – 80’s
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Population growth and Shrinking land base of Kenya
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
2,60 2,70 2,80 2,90 3,00 3,10 3,20 3,30 3,40 3,50 5 10 15 20 25 30 35 40 45
1948 1962 1969 1979 1989 1999 2009 Growth rate (%) Population (Millions)
Years
Total Annual Intercensal growth rate (%)
Changes in population demography (1948-2009)
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Kenya’s projected rural and urban population, 1950-2050
By 2030, it is projected that 33 per cent of Kenyans will live in urban areas
Population as of 2010
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Users of maize and wheat crop data
RCMRD FEWSNET Universities/Research Min of Agriculture Bureau of Statistics Min of State -FSC
Aerial Photos Satellite Images NDVI Crop Area Crop Yield Crop Prod
NGOs Private Firms Individuals
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
METHODS
- Crop area stratification
- Estimation of area crop using vertical aerial photography
- Determination of crop yield per hectare
- Computation of crop production
- Computation of consumption
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Agriculture expansion between 1990’s and 2000’s
- Population of Kenya in 2009
census = 38,610,097 people
- 20 % of Kenya support crop
cultivation significant to the economy
- Kenya requires approx 31 - 34
million bags of maize and 9 -11 million bags of wheat annually
- Balance in food deficit met by
substantial quantities of rice, potatoes and pulses produced locally and also from imports
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Satellite Data for Determination of Crop Strata
- 16 Landsat satellite
scenes cover agricultural area of 33 scenes
- Cost: free for Landsat
- Cost: Aster = US D 1,520
- Economical
- Poor accuracy
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Satellite Data for Determination of Crop Strata
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
METHODS: ESTIMATION AREA
Aircraft:
- High winged twin or single engine
(P68 or Cessna )
- Flying height of 488 m (1600 ft)
Camera:
- A 35 mm camera, 20 mm wide-angle
lens Photographs:
- Vertical
- Scale is approx. fixed at 1:22,000
- Area on ground 46 ha
GPS: Set to UTM WGS 84 datum or Geographic
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
5Km 2.5Km
Photograph taken
Sample Dot-Grid for Vertical Photograph
Photos covering entire crop stratum are: 10,000 Area under crop: 14,500 Sq Km Cost: US D 72,375 Cost per photo: USD 7.8
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
100 Dot gridN
100 100 200 Meters
Photo Interpretation: Dot-Grid technique
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Photo Interpretation: 100 Dot-Grid
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Photo Interpretation: 150 Dot-Grid
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Photo Interpretation: 200 Dot-Grid
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
10 20 30 40 50 60 70 80 90 100 50 100 150 200 250 Accuracy (%)
- No. of dots used
Accuracy levels in Photo Interpretation
Source: Sinange, 1996
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
S.F = Oρ/η Where: S.F = Sampling Fraction of the strata Oρ = Total No. of sample (points) photos observed with crop η = Total No. of Points (photos) taken in district strata n Hence: A = S.F ΣC (1/ Oρ *100) i Where: A = Area of survey stratum (ha) S.F = Sampling Fraction of the strata Oρ = Total No. of sample photos observed with crop n = nth photo in the strata i = ith photo in the strata
Area of Crop
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
METHODS: DETERMINATION OF CROP YIELD
Tussled maize
Applies Remote Sensing Techniques a ratio of near- infrared and red band reflectance (NIR-VIS)/(NIR+VIS) is a surrogate for primary production
Tektronix J16 digital radiometer
- NIR -700 - 1300nm
- VIS - 400 - 700nm
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Relationship between Yield and ratio of R/IR –Embu District in 1984
y = 0,176x + 1,1745 R² = 0,6874 2 4 6 8 10 12 10 20 30 40 50 60 Y i e l d ( B a g s / h a ) Ratio of Red to Infra-Red
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Nakuru (R² = 0.957) Narok (R² = 0.991) Nyamira (R² = 0.994) Mt Elgone (R² = 0.843) Koibatek (R² = 0.962) 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 5 10 15 20 25 30 35 40 45 50 Production (90 Kg bags) Millions Yield by district (bags/ha)
Regression in Maize yield vs Production in selected districts 2004-07
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Regression……………………Cont’d
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Collateral Information
Crop calendar LGP Seasonal progression of rainfall pattern Agronomic practices Soil moisture ETP Crop growth model
Source: MoA, 2004
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Crop calendar
Wheat LR LP-P LP-S P W G TF M H H/CM Maize SR M H LP-P LP-S P W G LR LP-P LP-S P W RW G TF M H H H/CM LP-P H/CM H/CM MO NTH Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Abbreviation Activity Abbreviation Activity LP-P Land preparation - Primary TF Tussling/Flowering LP-P Land preparation - Secondary M Maturing/Matured P Planting H Harvesting W Weeding CM Crop Marketing RW Re-Weeding SR Short Rain G Growing LR Long Rain
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Crop calendar Cont’d
Lake Region & Southern North Rift/Western Central & Eastern Coast
BOMET BUNGOMA EMBU KILIFI BONDO KEIYO KIAMBU KWALE BURET KERICHO KIRINYAGA MALINDI BUSIA KOIBATEK LAIKIPIA BUTERE/MUMIAS LUGARI MACHAKOS GUCHA MARAKWET MAKUENI HOMA BAY MT ELGON MARAGUA KAKAMEGA NAKURU MBEERE KISII CENTRAL NANDI MERU CENTRAL KISUMU NYANDARUA MERU NORTH KURIA TRANS NZOIA MERU SOUTH MIGORI UASIN GISHU MURANGA NAROK WEST POKOT NYERI NYAMIRA THARAKA NYANDO THIKA RACHUONYO SIAYA SUBA TESO TRANS MARA VIHIGA
Long rains maize planting begin in Feb - March, harvesting in July-Aug Long rains maize planting begin in March - April, harvesting in September - Dec Long rains maize planting begin in March, harvesting in July-Aug Long rains maize planting begin in March, harvesting in June-July
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Maize harvesting Tussled maize Land preparation Maize marketing/ storage
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
- 3.000
- 2.000
- 1.000
- 3
- 2
- 1
1 2 3 4
Jan-82 Jan-83 Jan-84 Jan-85 Jan-86 Jan-87 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-94 Jan-95 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00NDVI deviations from nomal Time
AnomaliesKajiado district, 2008 Isiolo district, 2008 Anomalies Anomalies
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
SAMBURU ISIOLO LA IKIPIA
2 MAY 00
LAIKIPIA ISIOLO SAMBURU
2 MAY 98
LA IKIPIA ISIOLO SAMBURU
2 MAY 99
SPOT 4 NDVI images showing rainfall variability within a period of three years 1998 to 2000
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Prediction of Crop Production
Production = Area * Yield
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Maize consumption/Production 1985-2010 Average consumption rate being 98 Kg per person per year (FEWSNET, 1997)
Source: Situma and Agastiva, 2010)
0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 2004 2005 2006 2007 2008 2009 2010
Quantity in MT
Domestic production National consumption
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
1 2 3 4 5 6 7 8 9 2004 2005 2006 2007 Bags Millions Year Consumption Production
Wheat
Average consumption rate of wheat being 27 Kg per person per year (FEWSNET, 1997) Source: Situma et al (DRSRS Technical 2004-2007)
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Conclusion
The area and yield under maize and wheat can reliable be predicted from vertical aerial photography and radiometers as a rapid method of crop assessment
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco
Driers Silos Storage
P = Y*A
PRODUCTION & STORAGE
Workshop on Crop Yield Forecast: 12-14/10/2011: INRA, Rabat, Morocco