Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka-Reference-Cited by-同舟云学术

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Evaluating the relationship between spatial and spectral features derived from high spatial resolution satellite data and urban poverty in Colombo, Sri Lanka

Published:2017-03 Issue: Volume: Page:
ISSN:
Container-title:2017 Joint Urban Remote Sensing Event (JURSE)
language:
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Author:

Engstrom Ryan,Newhouse David,Haldavanekar Vishwesh,Copenhaver Andrew,Hersh Jonathan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7919506/7924526/07924590.pdf?arnumber=7924590

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Survey and Geospatial Data for Geographical Targeting of the Poor and Vulnerable: Evidence from Malawi;The World Bank Economic Review;2024-06-13

2. Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach;Earth Science Informatics;2023-09-16

3. Evaluating the Ability to Use Contextual Features to Map Deprived Areas ‘Slums’ in Multiple Cities;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. The relationship between multiple hazards and deprivation using open geospatial data and machine learning;Natural Hazards;2023-03-17

5. Integrating Survey and Geospatial Data to Identify the Poor and Vulnerable: Evidence from Malawi;Policy Research Working Papers;2022-12-08

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