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Book Cover
E-book
Author Rotairo, Lea, author.

Title Use of remote sensing to estimate paddy area and production : a handbook / Lea Rotairo, Anna Christine Durante, Pamela Lapitan, Lakshman Nagraj Rao
Published Mandaluyong City, Metro Manila, Philippines : Asian Development Bank, April 2019

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Description 1 online resource (xiv, 247 pages) : color illustrations
Contents Chapter 1: Introduction -- 1.1. The Importance of Rice in Asia and the Pacific -- 1.2. Agricultural and Rural Statistics for Food Security -- 1.3. Sources of Agricultural and Rural Statistics in Developing Economies -- 1.4. Using Remote Sensing for Agricultural and Rural Statistics -- 1.5. ADB's Technical Assistance on Using Remote Sensing for Paddy Rice Statistics -- 1.6. Objectives and Layout of the Handbook -- Chapter 2. Basic Remote Sensing Concepts -- 2.1. Definition of Remote Sensing -- 2.2. Spatial, Temporal, Spectral, and Radiometric Resolution -- 2.3. Synthetic Aperture Radar, Sensors, and Satellites -- Chapter 3. Installing and Using the INAHOR-AD Software -- 3.1. System Requirements -- 3.2. Setting up the System --- 3.3. Getting to Know the INAHOR-AD Software -- 3.4. Installing the INAHOR-AD Software -- 3.5. Accessing ALOS-2 PALSAR-2 Images -- 3.6. Accessing Data for Use with INAHOR-AD -- 3.7. Starting the INAHOR-AD Software -- 3.8. Creating Folders and Files -- 3.9. Preparing the Data -- 3.10. Copying SAR Data to a Designated Folder in Ubuntu -- 3.11. Using the Pre-Processing Tool
3.12. Using the Rice Crop Mapper -- 3.13. Using the Rice Production Calculator -- Chapter 4. Gathering Field Data and Conducting Accuracy Assessments -- 4.1. Generating Random Points in QGIS -- 4.2. Using Google Maps within QGIS -- 4.3. Paddy Area Field Validation Ground-Truthing -- 4.4. Pre-Field Survey Preparations -- 4.5. Setting Up the iPads, Installing Apps, and Importing Files -- 4.6. Ground-Truthing Field Work -- 4.7. Field Survey Data Management -- 4.8. Digitization of Maps for Paddy Area Estimation -- 4.9. Estimation of Paddy Areas Using QGIS -- Chapter 5. Crop Cutting Experiments and Farmer Recall Surveys for Paddy Yield Estimation -- 5.1. Crop Cutting Experiments -- 5.2. Crop Cutting Sample Selection -- 5.3. Tracking Plot Boundaries Using Map Plus -- 5.4. Estimating Plot Area Using Map Plus -- 5.5. Crop Cutting Methodology -- 5.6. Using a Grain Moisture Meter -- 5.7. Sampling Weights Calculation -- 5.8. Farmer Recall Survey Methodology -- Chapter 6. Assessing Accuracy, Revising INAHOR Outputs, and Estimating Paddy Production -- 6.1 Methods for Revising INAHOR-AD Settings for Improved Output -- 6.2. Calculating Zonal Statistics Using QGIS
6.3. Determining Optimal Threshold Values -- 6.4. Producing Revised Output of Paddy Field Area Using INAHOR-AD -- 6.5. Validating INAHOR-AD Paddy Area Estimates with Ground-Truthing Field Survey Data -- 6.6. Using INAHOR-AD for Estimating Paddy Production -- 6.7. Accuracy Assessment Using the Results of Paddy Area Field Validation Ground Truthing -- APPENDIX 1: Ground-Truthing Field Survey Questionnaire and Enumerator's Manual: Nueva Ecija, Philippines -- APPENDIX 2: Listing Form Used to Identify Sample Plots in Crop Cutting Experiments -- APPENDIX 3: Crop Cutting Survey Questionnaire and Enumerator's Manual: Nueva Ecija, Philippines
Summary A substantial portion of the world's rice is produced and consumed in the Asia and Pacific region. As much of the region's population depends on rice farming for consumption and livelihood, the demand for good quality statistics remains essential for effective policy formulation. Recent advances in remote sensing serve as a viable alternative to traditional methods of compiling agricultural statistics by responding to the emerging data requirements and overall needs of modern agriculture, especially for staple commodities such as rice. This publication outlines the procedures, methods and tools developed for generating statistics on paddy rice area and production using remote sensing and GIS techniques. It is intended to encourage and assist national statistical systems in piloting and adopting satellite-based techniques as an alternative to existing data collection methods, while enabling other interested readers to comprehend whether the adoption of these methodologies can improve the quality and timeliness of agricultural statistics. The handbook also serves as a complement to a massive online open course developed by ADB for crop area estimation
Bibliography Includes bibliographical references (pages 242-247)
Notes In English
Contents viewed on February 7, 2010; title from PDF title page
Subject Agriculture -- Remote sensing
Statistics.
BUSINESS & ECONOMICS.
Public Policy.
POLITICAL SCIENCE.
Agriculture -- Remote sensing
Form Electronic book
Author Durante, Anna Christine, author.
Lapitan, Pamela, author.
Rao, Lakshman Nagraj, author.
Asian Development Bank, issuing body.
ISBN 9292615912
9789292615901
9292615904
9789292615918