ppt for report-cambodai
TRANSCRIPT
![Page 1: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/1.jpg)
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
![Page 2: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/2.jpg)
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
![Page 3: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/3.jpg)
Objectives
Create rice statistical information using satellite data.
Rice Crop Area
Crop Intensity
Rice Phenology
Predict rice crop production using satellite data.
![Page 4: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/4.jpg)
Study Area
Three (03) Major rice cultivation Province are selected as
study provinces.
Kampong Chhnang
Kampong Speu
Takeo
![Page 5: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/5.jpg)
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
![Page 6: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/6.jpg)
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
![Page 7: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/7.jpg)
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
![Page 8: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/8.jpg)
Time Series NDVI
Rice Area
![Page 9: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/9.jpg)
Temporal Changes in Paddy Field
Greenness of field
increase with time
At maturity stage it looks
dark green
After that it becomes
yellowish
![Page 10: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/10.jpg)
Paddy Crop Information from NDVI TS
![Page 11: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/11.jpg)
Methodology – Acreage and Phenology
Mapping
![Page 12: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/12.jpg)
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
![Page 13: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/13.jpg)
Methodology – Crop Intensity
![Page 14: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/14.jpg)
Methodology – Start of Season (SOS)
SOS – number
of days
before max
NDVI.
![Page 15: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/15.jpg)
Methodology – Production Forecasting
![Page 16: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/16.jpg)
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
![Page 17: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/17.jpg)
Results – Rice Acreage (KC)
Wet Season Dry Season
![Page 18: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/18.jpg)
Results – Rice Acreage (KS)
Wet Season Dry Season
![Page 19: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/19.jpg)
Results – Rice Acreage (TK)
Wet Season Dry Season
![Page 20: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/20.jpg)
Results – SOS (KC)
Wet Season Dry Season
![Page 21: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/21.jpg)
Results – Rice Acreage (TK)
Wet Season Dry Season
![Page 22: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/22.jpg)
Results – Field Verification (KC)
![Page 23: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/23.jpg)
Results – Field Verification (KS)
![Page 24: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/24.jpg)
Results – Field Verification (TK)
![Page 25: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/25.jpg)
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
![Page 26: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/26.jpg)
Results – Production Forecasting (KC)
![Page 27: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/27.jpg)
Results – Production Forecasting (TK-Wet)
![Page 28: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/28.jpg)
Results – Production Forecasting (TK-Dry)
![Page 29: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/29.jpg)
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
![Page 30: PPT for report-Cambodai](https://reader034.vdocuments.net/reader034/viewer/2022042817/55a682d71a28ab37498b468f/html5/thumbnails/30.jpg)