Rice Mapping

Innovative Data Collection Methods for Agricultural & Rural Statistics

ricemap3Year: 2014-2016
Countries: Laos, Thailand, Philippines, and Vietnam

Japanese government funded through Asian Development Bank (ADB) under Japan fund for Poverty Reduction (JFPR) to conduct the project entitled ‘Innovative Data Collection Methods for Agricultural & Rural Statistics’. Japan Aerospace Exploration Agency (JAXA) contributed as project technical advisor together with Remote Sensing Technology Center of Japan (RESTEC) and Geoinformatics Center (GIC) as international consultant team to strengthen capacity building to the implementing government agencies in four countries (Laos, Thailand, Philippines, and Vietnam).

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Rice Crop Monitoring and Production Forecasting using Satellite Data in Cambodia

ricemap3Year: 2013-2014
Country: Cambodia
Location within country: Kampong Chananng, Kampong Spue and Takeo Provinces

Cambodia has a land area of 181035 square kilometers in the south western part of the Indo-china peninsula. Cambodia is one of the most disaster-flood and drought countries in Southeast Asia. 70% of people engage with agriculture and it contributes 27.5% of GDP. Rice is the major crop in Mekong, Tonel Basac river flood plains and around Tonel Sap Lake. Mainly rice is grown in wet season using water from rain and dry season rice is cultivated in flood plains. Our study area is covered three major rice cultivation provinces which are Kampong Chananng, Kampong Spue and Takeo.

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Rice Monitoring and Mapping in the Sylhet Region of Bangladesh

ricemap3Year: 2013-2014
Country: Bangladesh
Location within country: Sylhet Division

Bangladesh is one of the major rice producing countries in South Asia. The study area is Sylhet region of the north-eastern part of Bangladesh, which is one of the 6 administrative Divisions. This region is well known to be a flood prone. Quantification of rice area and yield estimation on a real time basis using conventional technique is a very tedious and erroneous task. Various models have been introduced to predict the crop yields before the harvest, but most of these models require field conditions data which are difficult to obtain for a vast region.

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Studying the Dynamics of Shifting Cultivation in Kasi District of Lao PDR using Satellite Images and Socio-economic Data

ricemap3Year: 2011-2012
Country: Lao PDR
Location within country: Kasi district

The objectives of this project were: 1) To detect shifting cultivation hotspots using MODIS burned area products, 2) To analyze the contribution of physical, biological and socioeconomic factors to shifting cultivation.
Shifting cultivation in Lao PDR is a common practice in upland involving more than 150,000 households, which is approximately 25% of the rural population.

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Rice Area Mapping and Backscatter Analysis using Multi-temporal Radarsat Images in the Rainfed Areas of Pangasinan and Nueva Ecija

ricemap2Year: 2005-2006
Country: Philippines
Location within country: Pangasinan and Nueva Ecija provinces

The main objective of this project was to produce an accurate and updated rice area map with high accuracy by using multi-temporal SAR data from RADARSAT. The sub-objectives were: 1) To analyze the relationship of rice backscatter with plant growth parameters, 2) To map the rain-fed paddy areas in Pangasinan and Nueva Ecija, Philippines using multi-temporal RADARSAT data, 3) To produce an updated rice area map with high accuracy.

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