Geoinformatics Center

Asian Institute of Technology

Department of Planning and Statistics

Ministry of Agriculture, Fisheries and Forestry

CAMBODIA

Rice Crop Monitoring and Production

Forecasting with Satellite Data

Introduction

Total Land Area: 181.035 Sq.km

Population: Over 14.9 Million (2012)

23 Provinces + 1 Phnom Penh City

80% of population is living in

rural area with 75% engaged in

agriculture.

Crop producing households 2.4

million

Agriculture sector contribution in

GDP 27.5% in 2012

Objectives

Create rice statistical information using satellite data.

Rice Crop Area

Crop Intensity

Rice Phenology

Predict rice crop production using satellite data.

Study Area

Three (03) Major rice cultivation Province are selected as

study provinces.

Kampong Chhnang

Kampong Speu

Takeo

Data Used – Satellite Data

MODIS (Moderate Resolution Imaging Spectroradiometer)

data from Terra and Aqua satellites vegetation indices

product.

Product Name MOD13Q1 and MYD13Q1

Spatial Resolution 250 meter

Temporal Resolution 16 days

Spatial Coverage Cambodia, Vietnam (Tile No h27v07)

No of Images 54 images from May 2011 to June 2012

Product Type NDVI

Data Used – Satellite Data

NDVI layer

16 bit signed integer and range – 2000 to 10000

VI Quality Assurance layer

16 bit unsigned integer with Bits unit

Composite Day of Year Layer

Julian day of year of each pixel

Data Used – Statistics Data

Agriculture Statistics data for 3 provinces from Department

of Statistics and Planning, MAFF, Cambodia from 2002 to

2012.

Area of cultivation

Area of harvest

Yield

Production

Crop Calendar

Time Series NDVI

Rice Area

Temporal Changes in Paddy Field

Greenness of field

increase with time

At maturity stage it looks

dark green

After that it becomes

yellowish

Paddy Crop Information from NDVI TS

Methodology – Acreage and Phenology

Mapping

Methodology - Smoothing

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

5 / 1 / 2 0 1 3 6 / 1 / 2 0 1 3 7 / 1 / 2 0 1 3 8 / 1 / 2 0 1 3 9 / 1 / 2 0 1 3 1 0 / 1 / 2 0 1 3 1 1 / 1 / 2 0 1 3 1 2 / 1 / 2 0 1 3

ND

VI

(X1

00

00

)

DATE

Raw NDVI TS Smoothed NDVI TS

Methodology – Crop Intensity

Methodology – Start of Season (SOS)

SOS – number

of days

before max

NDVI.

Methodology – Production Forecasting

Results – Rice Acreage

Area Study

Rice Cultivated Area in Wet

Season (ha)

Rice Cultivated Area in Dry

Season (ha)

Land Use (ha)

Statistics Remote Sensing Statistics Remote Sensing

Kampong Chhnang 111,477 104,549 36,036 43,749 125,360

Kampong Speu 114,239 217,054 794 6,197 177,533

Takeo 194,955 192,982 94,858 56,852 233,611

Results – Rice Acreage (KC)

Wet Season Dry Season

Results – Rice Acreage (KS)

Wet Season Dry Season

Results – Rice Acreage (TK)

Wet Season Dry Season

Results – SOS (KC)

Wet Season Dry Season

Results – Rice Acreage (TK)

Wet Season Dry Season

Results – Field Verification (KC)

Results – Field Verification (KS)

Results – Field Verification (TK)

Results – Production Forecasting

Production forecasting model results

Province R2 Correlation

Coefficient

Takeo (Wet)0.9469 0.97311

Takeo (Dry) 0.606 0.7784

Kampong Chhnang (Wet) 0.458 0.67716

Results – Production Forecasting (KC)

Results – Production Forecasting (TK-Wet)

Results – Production Forecasting (TK-Dry)

SeasonNDVI Mean

2013A (Coeff)

B

(Intercept)

Predict Production

(Ton)

TK - Wet 1988.51 1325 -2035202 599575.5251

KC - Wet 1017.86 2569 -2261146 353723.9246

Prediction for 2013 Wet Season