Multimodal and Multitemporal Spatial Data Analysis in Google Earth Engine Cloud Computing Platform to Detect Human Settlements Without Electricity: A Case Study of Bangalore City-Reference-Cited by-同舟云学术

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Multimodal and Multitemporal Spatial Data Analysis in Google Earth Engine Cloud Computing Platform to Detect Human Settlements Without Electricity: A Case Study of Bangalore City

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS)
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Author:

Ujjinakoppa Manjunath Bhimappa¹,Kumar Uttam¹,Thottolil Rahisha¹,Dasgupta Anindita¹

Affiliation:

1. International Institute of Information Technology Bangalore (IIITB),Spatial Computing Laboratory, Center for Data Sciences,Bangalore,India,560100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9791458/9791465/09792041.pdf?arnumber=9792041

Reference7 articles.

1. Change Detection of Urban Areas in Ankara through Google Earth Engine

2. Using Google Earth Engine to detect land cover change: Singapore as a use case

3. Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River basin

4. Extraction of built-up area using multi-sensor data—A case study based on Google earth engine in Zhejiang Province, China

5. Classification of Indian cities using Google Earth Engine

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1. Semantics-Aware Document Retrieval for Government Administrative Data;International Journal of Semantic Computing;2023-07-31

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