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High Resolution Rural Poverty Mapping In Pakistan With Ensemble Deep Learning
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Book Synopsis High-Resolution Rural Poverty Mapping in Pakistan With Ensemble Deep Learning by : Felix Agyemang
Download or read book High-Resolution Rural Poverty Mapping in Pakistan With Ensemble Deep Learning written by Felix Agyemang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: High resolution poverty mapping supports evidence-based policy and research, yet about half of countries lack the requisite survey data to generate useful poverty maps. To overcome this challenge, new non-traditional data sources and deep learning techniques are increasingly used to create small-area estimates of poverty in low- and middle-income countries (LMICs). Convolutional Neural Networks (CNN) trained on satellite imagery are one of the most popular and effective approaches in this literature. However, the spatial resolution of poverty estimates has remained quite coarse, particularly in rural areas which are critical for governments to support. To resolve this, we use an ensemble transfer learning approach involving three CNN models to predict chronic poverty at a finer 1 km2 scale in rural Sindh, Pakistan. We train the model with spatially noisy georeferenced household survey containing poverty scores for 1.9 million anonymized households in Sindh Province using publicly available inputs, including daytime and nighttime satellite imagery and accessibility data. Results from rigorous cross-validation and ground truthing of predictions with an original survey suggest the model performs well in identifying the chronic poor in both arid and non-arid regions, outperforming previous studies in key accuracy metrics. Our inexpensive and scalable approach could be used to improve poverty targeting in low- and middle-income countries.
Book Synopsis Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand by : Asian Development Bank
Download or read book Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-04-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.
Book Synopsis Geospatial Technology for Sustainable Oil Palm Industry by : Kasturi Kanniah
Download or read book Geospatial Technology for Sustainable Oil Palm Industry written by Kasturi Kanniah and published by CRC Press. This book was released on 2024-05-15 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oil palm cultivation is a significant contributor to the global agricultural industry, providing valuable resources for various products. While it has faced challenges, including concerns about deforestation and environmental degradation, it is crucial to understand the geographical distribution of oil palms to ensure responsible and sustainable management. This book introduces the application of geospatial technology to the palm oil industry, demonstrating how these tools can address key issues while promoting responsible practices. The topics discussed in the book aim to tackle challenges such as illegal deforestation and the monitoring of environmental impacts associated with oil palm cultivation. Key Features: The first book to explore the use of remote sensing and geospatial technologies for mapping and monitoring oil palm plantations Introduces cutting-edge techniques from the fourth industrial revolution, including the use of the Internet of Things (IoT), Artificial Intelligence, big data and analytics, block chain and 5G technology for effective oil palm tree monitoring Addresses current environmental concerns affecting the industry, including issues like floods, changes in precipitation, temperature, humidity, and El Niño events Explores the scientific aspects of promoting sustainability in oil palm developments and the responsible conversion of rainforests into oil palm plantations Provides a wealth of application data for early detection and continuous monitoring of environmental challenges. This book serves as an insightful resource for those interested in geospatial technologies and their positive impact on monitoring and mitigating environmental changes in the context of the palm oil industry.
Book Synopsis Mapping Poverty Through Data Integration and Artificial Intelligence by : Asian Development Bank
Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2020-09 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery. As part of a special ADB knowledge initiative, computer vision techniques and machine-learning algorithms were applied on datasets from the Philippines and Thailand to demonstrate increased granularity of poverty estimation using artificial intelligence. The report identifies practical considerations and technical requirements for this novel approach to mapping the spatial distribution of poverty. It also outlines the investments required by national statistics offices to fully capitalize on the benefits of incorporating innovative data sources into conventional work programs.
Book Synopsis Multidimensional Poverty Mapping for Rural Pakistan by : Abdul Hameed
Download or read book Multidimensional Poverty Mapping for Rural Pakistan written by Abdul Hameed and published by . This book was released on 2018 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper estimates and maps the multidimensional poverty for rural Pakistan. It uses micro data from household surveys to construct the Multidimensional Poverty Index (MPI) with human development indicators like education, health, standard of living and wealth. Furthermore, it identifies multiple deprivations at individual level contributions in education, health, standard of living and wealth in the rural multidimensional poverty as overall and district levels. The results show that the 59 percent rural population of Pakistan is poor. The district Thatta, in Sindh, district Dera Ghazi Khan in Punjab and the district Nowshera in the KPK record highest multidimensional poverty index. No district is included from Baluchistan due to unavailability of data. It is expounded that the policy makers can develop the strategies to reduce the rural poverty by enhancing rural education, improving living standards and creating opportunities for income.
Book Synopsis A Guidebook on Mapping Poverty Through Data Integration and Artificial Intelligence by : Asian Development Bank
Download or read book A Guidebook on Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2021-05-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guidebook identifies tools and resources that can help generate poverty statistics using satellite imagery, geospatial data, and machine-learning algorithms to augment conventional data collection and sample survey techniques. The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country's population. The guidebook was based on a feasibility study by ADB, in collaboration with the Philippine Statistics Authority, the National Statistical Office of Thailand, and the World Data Lab, that aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics. It also serves as an accompanying guide to the Key Indicators for Asia and the Pacific 2020 special supplement focusing on mapping poverty estimates.
Book Synopsis Choosing a Method for Poverty Mapping by : Benjamin Davis
Download or read book Choosing a Method for Poverty Mapping written by Benjamin Davis and published by Food & Agriculture Org.. This book was released on 2003 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents and compares a large selection of poverty and food-security mapping methodologies in use. The choice of a poverty-mapping methodology depends on a number of logical and legitimate considerations, such as the objectives of the poverty mapping exercise, philosophical views on poverty, limits on data and analytical capacity, and cost.
Book Synopsis More Than a Pretty Picture by : Tara Bedi
Download or read book More Than a Pretty Picture written by Tara Bedi and published by World Bank Publications. This book was released on 2007 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The allocation of resources and the design of policies tailored to local-level conditions require highly disaggregated information. Data on poverty at the local level is typically not available because most household surveys are not representative past the regional level. This volume aims to promote the effective use of Small Area Estimation poverty maps in policy making. It presents the range of policies and interventions which have been informed by poverty maps, focusing on the political economy of poverty maps and the key elements to their effective use by policy makers. The volume also looks at the future of poverty maps in terms of new techniques and new areas of application.
Book Synopsis Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs by : Luna Yue Huang
Download or read book Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs written by Luna Yue Huang and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The rigorous evaluation of anti-poverty programs is key to the fight against global poverty. Traditional approaches rely heavily on repeated in-person field surveys to measure program effects. However, this is costly, time-consuming, and often logistically challenging. Here we provide the first evidence that we can conduct such program evaluations based solely on high-resolution satellite imagery and deep learning methods. Our application estimates changes in household welfare in a recent anti-poverty program in rural Kenya. Leveraging a large literature documenting a reliable relationship between housing quality and household wealth, we infer changes in household wealth based on satellite-derived changes in housing quality and obtain consistent results with the traditional field-survey based approach. Our approach generates inexpensive and timely insights on program effectiveness in international development programs.
Book Synopsis Poverty Mapping in the Age of Machine Learning by : Corral
Download or read book Poverty Mapping in the Age of Machine Learning written by Corral and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Livelihood and Poverty Mapping Analysis at Regional Level in Pakistan by : Shazia Begum
Download or read book The Livelihood and Poverty Mapping Analysis at Regional Level in Pakistan written by Shazia Begum and published by . This book was released on 2015 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Where are the Poor? by : Norbert Henninger
Download or read book Where are the Poor? written by Norbert Henninger and published by . This book was released on 2002 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publ. in association with UNEP/GRID-Arendal, Norway.
Book Synopsis Mapping Poverty Through Data Integration and Artificial Intelligence by :
Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by and published by . This book was released on 2020 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery.
Book Synopsis Urban Poverty Mapping with Open Spatial Data by : Peter Simonsen Fisker
Download or read book Urban Poverty Mapping with Open Spatial Data written by Peter Simonsen Fisker and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper combines information from a representative household survey with publicly available spatial data extracted from satellite images to produce a high-resolution poverty map of Dar es Salaam. In particular, it builds a prediction model for per capita household consumption based on characteristics of the immediate neighborhood of the household, including the density of roads and buildings, the average size of houses, distances to places of interest, and night-time lights. The resulting poverty map of Dar es Salaam dramatically improves the spatial resolution of previous examples. Extreme Gradient Boosting (XGB) performs best in predicting household consumption levels given the input data. This result demonstrates the simplicity with which policy-relevant information containing a spatial dimension can be generated.
Book Synopsis Shock Waves by : Stephane Hallegatte
Download or read book Shock Waves written by Stephane Hallegatte and published by World Bank Publications. This book was released on 2015-11-23 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ending poverty and stabilizing climate change will be two unprecedented global achievements and two major steps toward sustainable development. But the two objectives cannot be considered in isolation: they need to be jointly tackled through an integrated strategy. This report brings together those two objectives and explores how they can more easily be achieved if considered together. It examines the potential impact of climate change and climate policies on poverty reduction. It also provides guidance on how to create a “win-win†? situation so that climate change policies contribute to poverty reduction and poverty-reduction policies contribute to climate change mitigation and resilience building. The key finding of the report is that climate change represents a significant obstacle to the sustained eradication of poverty, but future impacts on poverty are determined by policy choices: rapid, inclusive, and climate-informed development can prevent most short-term impacts whereas immediate pro-poor, emissions-reduction policies can drastically limit long-term ones.
Book Synopsis Google Earth Engine Applications by : Lalit Kumar
Download or read book Google Earth Engine Applications written by Lalit Kumar and published by MDPI. This book was released on 2019-04-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Book Synopsis Applied Spatial Statistics and Econometrics by : Katarzyna Kopczewska
Download or read book Applied Spatial Statistics and Econometrics written by Katarzyna Kopczewska and published by Routledge. This book was released on 2020-11-25 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
