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Understanding the evidence base for poverty-environment relationships using remotely sensed satellite data : an example from Assam, India

Watmough, Gary R.; Atkinson, Peter M.; Saikia, Arupjyoti; … - In: World development : the multi-disciplinary … 78 (2016), pp. 188-203

Persistent link: https://www.econbiz.de/10011602510

Using satellite data to guide urban poverty reduction

Sohnesen, Thomas Pave; Fisker, Peter Simonsen; … - In: Review of income and wealth 68 (2022), pp. S282-S294

Persistent link: https://www.econbiz.de/10013479725

Impact of irrigation on poverty and environment in Ethiopia. Draft Proceeding of the Symposium and Exhibition held at Ghion Hotel, Addis Ababa, Ethiopia 27th -29th November, 2007

Awulachew, Seleshi Bekele; Loulseged, Makonnen; Yilma, … - International Water Management Institute (IWMI) - 2008

Persistent link: https://www.econbiz.de/10009398462

Estimating local poverty measures using satellite images : a pilot application to Central America

Klemens, Ben; Coppola, Andrea; Shron, Max - 2015

Persistent link: https://www.econbiz.de/10011298550

Poverty from space : using high-resolution satellite imagery for estimating economic well-being

Engstrom, Ryan; Hersh, Jonathan; Newhouse, David Locke - 2017

Persistent link: https://www.econbiz.de/10011794640

Identifying deprived "slum" neighbourhoods in the Greater Accra Metropolitan Area of Ghana using census and remote sensing data

MacTavish, Robert; Bixby, Honor; Cavanaugh, Alicia; … - In: World development : the multi-disciplinary … 167 (2023), pp. 1-10

Persistent link: https://www.econbiz.de/10014301212

Energy poverty prediction in the United Kingdom : a machine learning approach

Al Kez, Dlzar; Foley, Aoife; Abdul, Zrar Khald; … - In: Energy policy : the international journal of the … 184 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014454912

Mapping poverty rates in Chile with night lights and fractional multinomial models : introduction

Cecchini, Simone; Savio, Giovanni; Tromben, Varinia - In: Regional science policy and practice : RSPP 14 (2022) 4, pp. 850-876

Persistent link: https://www.econbiz.de/10013401842

How Accurate is a Poverty Map Based on Remote Sensing Data? An Application to Malawi

Weide, Roy van der; Blankespoor, Brian; Elbers, Chris; … - 2023

This paper assesses the reliability of poverty maps derived from remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining household expenditure survey data with population census data. It then ignores the population census and obtains a second...

Persistent link: https://www.econbiz.de/10014348549

How Accurate Is a Poverty Map Based on Remote Sensing Data? : An Application to Malawi

Blankespoor, Brian; Elbers, Chris; Lanjouw, Peter; … - 2022

This paper assesses the reliability of poverty maps derived from remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining the Malawi household expenditure survey from 2010/11 with unit record population census data from 2008. It then ignores...

Persistent link: https://www.econbiz.de/10013545114