A framework for enhancing EO capacity for Agriculture and forest management in Africa ESTIMATION OF CROP AREA IN KENYA A MULTI-APPROACH USING POINT FRAME SAMPLING AND AERIAL PHOTOGRAPHY Crop monitoring as an E-Agricultural tool in developing Countries DRSRS 1 Department of Resource Surveys & Remote Sensing +254-47146-00100 Nairobi Kenya (drsrs.go.ke), 2 Consorzio ITA,Italy, 3 Flemish Institute for Technological Research(VITO),Belgium, 4 Wageningen University(ALTERRA),The Netherlands. Corresponding author: 1 Vincent Mate Imala– [email protected] Co-Authors: 1 Charles Situma, 1 Henry Roimen, 2 Michele Downie, 2 Tomaso Ceccarelli, 2 David Remotti, 3 Carolien Tote , , 4 Hendrik Boogaard. The Department of Resource Surveys & Remote Sensing (DRSRS) is involved in two main projects funded by the European Commission under the seventh framework program (FP7).The AGRICAB project on one side, mainly focuses on enhancement of EO capacity for Agricultural and Forest Management in Africa while the E-AGRI project encompasses Crop monitoring using advanced information and communication technologies as an E- Agricultural tool in developing countries. Both projects target capacity building activities in Kenya with main objective of raising interest of local stake- holders and institutions on the European E-Agricultural practices and use of scientific and remote sensing techniques so as to independently monitor natural resources and support management and policy actions. The case study mainly focuses on Kakamega and Butere Mumias Counties located in Western Kenya and classified as Agricultural high potential are- as with yearly rainfall cumulating to more than 2,000mm and farming practices mainly small scale. The point frame sampling approach is being implemented in Kenya as a technique for deriving crop area statistics with the aforementioned regions as pilot study areas. This particular approach was developed by ITA in 1988 and operationally adopted by the Italian Ministry of Agriculture for the pro- vision of the annual statistics for the entire Italian territory. The approach is viewed as a cost effective and an improvement on the DRSRS vertical aeri- al photography,dot grid interpretation and remote sensing for estimation of crop area . The two approaches, coupled with use of very high resolution satellite imagery and accurate field data collection is expected to yield very accurate results. Kakamega study site is located in agro-ecological zone I and covers an area of 1,395 km2. The larger district has eight Districts: Malava, Shinyalu, Navakholo, Lurambi, Ikolomani, Ileho, Lugari and Municipality divisions. The projected district population from the 1999 population census is 690,000 persons. Average population density is 495 persons per km 2 . The district lies within altitude 1,250m-2,000m a.s.l. Average temperature in the district is about 22.5 0 C most of the year. Dominant crops in this region include grain maize (B13), Ground beans (B42), millet (B12), sugarcane (B35) and vegeta- bles (B46). Butere Mumias study site lies within Kakamega County and raises to an altitudes of between 1,240 m and 1,641 m above sea level. The site has 7 streams of rivers which serve as the main sources of water for the residents. The main crops are Sugarcane, tea, Sunflower and soya beans as cash crops and maize, while beans, sweet potatoes and bananas as food crops. Expected Outputs 1. Agricultural statistics on area under crops and yield 2. Improved methodology on systematic estimation of area under crops and yield 3. Dynamic crop database for agricultural monitoring and food security management 2.Aerial photography Application of Remote Sensing & GIS for Crop forecasting in Kenya 21 Aircraft: •High winged twin or single engine (P68 or Cessna ) •Flying height of 500 m (1600 ft) Camera & GPS: •A 35 mm camera, 20 mm wide- angle lens,EtrexGermin GPS 3m resolution Photographs: •Vertical •Scale is approx. fixed at 1:22,000 •Area on ground 48 ha 26 Application of Remote Sensing & GIS for Crop forecasting in Kenya 1 100 15 m 3m 10926 A DIGITAL DATABASE FOR SAMPLED POINT 1.Point frame sampling
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A framework for enhancing EO capacity for Agriculture and forest management in Africa
ESTIMATION OF CROP AREA IN KENYA A MULTI-APPROACH USING POINT FRAME SAMPLING
AND AERIAL PHOTOGRAPHY
Crop monitoring as an E-Agricultural tool in developing Countries
DRSRS
1 Department of Resource Surveys & Remote Sensing +254-47146-00100 Nairobi Kenya (drsrs.go.ke),2Consorzio ITA,Italy,3 Flemish Institute for Technological Research(VITO),Belgium,4Wageningen University(ALTERRA),The Netherlands.
Corresponding author:1 Vincent Mate Imala– [email protected]
Co-Authors:1Charles Situma,1Henry Roimen,2Michele Downie,2Tomaso Ceccarelli,2 David Remotti,3 Carolien Tote,,4Hendrik Boogaard.
The Department of Resource Surveys & Remote Sensing (DRSRS) is involved in two main projects funded by the European Commission under the seventh framework program (FP7).The AGRICAB project on one side, mainly focuses on enhancement of EO capacity for Agricultural and Forest Management in Africa while the E-AGRI project encompasses Crop monitoring using advanced information and communication technologies as an E-Agricultural tool in developing countries. Both projects target capacity building activities in Kenya with main objective of raising interest of local stake-holders and institutions on the European E-Agricultural practices and use of scientific and remote sensing techniques so as to independently monitor natural resources and support management and policy actions.
The case study mainly focuses on Kakamega and Butere Mumias Counties located in Western Kenya and classified as Agricultural high potential are-as with yearly rainfall cumulating to more than 2,000mm and farming practices mainly small scale.
The point frame sampling approach is being implemented in Kenya as a technique for deriving crop area statistics with the aforementioned regions as pilot study areas. This particular approach was developed by ITA in 1988 and operationally adopted by the Italian Ministry of Agriculture for the pro-vision of the annual statistics for the entire Italian territory. The approach is viewed as a cost effective and an improvement on the DRSRS vertical aeri-al photography,dot grid interpretation and remote sensing for estimation of crop area . The two approaches, coupled with use of very high resolution satellite imagery and accurate field data collection is expected to yield very accurate results.
Kakamega study site is located in agro-ecological zone I and covers an area of 1,395 km2. The larger district has eight Districts: Malava, Shinyalu, Navakholo, Lurambi, Ikolomani, Ileho, Lugari and Municipality divisions. The projected district population from the 1999 population census is 690,000 persons. Average population density is 495 persons per km2. The district lies within altitude 1,250m-2,000m a.s.l. Average temperature in the district is about 22.50C most of the year. Dominant crops in this region include grain maize (B13), Ground beans (B42), millet (B12), sugarcane (B35) and vegeta-bles (B46).
Butere Mumias study site lies within Kakamega County and raises to an altitudes of between 1,240 m and 1,641 m above sea level. The site has 7 streams of rivers which serve as the main sources of water for the residents. The main crops are Sugarcane, tea, Sunflower and soya beans as cash crops and maize, while beans, sweet potatoes and bananas as food crops.
Expected Outputs
1. Agricultural statistics on area under crops and yield
2. Improved methodology on systematic estimation of area under crops and yield
3. Dynamic crop database for agricultural monitoring and food security management
2.Aerial photography
Application of Remote Sensing & GIS for Crop forecasting in Kenya 21
Aircraft:•High winged twin or single engine (P68 or Cessna )•Flying height of 500 m (1600 ft)
Camera & GPS:•A 35 mm camera, 20 mm wide-angle lens,EtrexGermin GPS 3m resolution
Photographs:•Vertical•Scale is approx. fixed at 1:22,000•Area on ground 48 ha
26Application of Remote Sensing & GIS for Crop forecasting in Kenya
1 100
15 m
3 m
10926
A DIGITAL DATABASE FOR SAMPLED POINT
1.Point frame sampling
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