Name: Semarang (Indonesia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)
Creator: World Bank Group
Published: 2017-07-13

The BOOST initiative is a Bank-wide collaborative effort launched in 2010 to facilitate access to budget data and promote effective use for improved decision-making processes, transparency and accountability.

BOOST - Public Expenditure Database

This collection contains datasets that may be useful for analysis, response or modelling for the Coronavirus (COVID-19) pandemic.

Coronavirus (COVID-19) Related Datasets

The Data360 initiative aims to integrate high-value data and knowledge curated in the Bank’s verticals into a user-centered data platform. 

Data 360

The Development Data Partnership platform facilitates formation of public-private partnerships for solving development challenges with technology. Specifically, the Development Data Partnership Working Group organizes opportunities for WBG staff to work with technology companies who offer pro-bono data and resources.

Development Data Partnership

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Discrepancy Index

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Earth Observation for Sustainable Development

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Fifty-nine spatial layers were identified and then researched for each country, covering the following categories: Demographics and Population | Renewable Energy | Energy Access | Education | Jobs and Finance | Digital Inclusion | Transportation | Safety | Amenities | Climate/Earth | Law/Policy/Government. 


However, not every country GDB contains all 59 data layers, as this was dependent on the availability of open-source data in each SIDS. Users are encouraged to check the accompanying metadata excel file for more information on the datasets in each GDB, the vintage, and the

Gender Spatial Data - Small Island States

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Geospatial Datasets

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IMF Dataset

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Infrastructure Finance Datasets

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Library Databases

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Policy Research Working Papers

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Road Software Tools

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SARCE Spatial Database

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Ukraine datasets

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World Bank (WBG) - European Space Agency (ESA) Database

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World Development Report 2021

The World Development Report 2022: Finance for an Equitable Recovery examines the central role of finance in the economic recovery from the COVID-19 pandemic. In doing so, it looks into the consequences of the crisis most likely to affect emerging economies and proposes a set of policies to mitigate the interconnected financial risks stemming from the pandemic and to steer economies toward a sustainable and equitable recovery. The data used in the WDR2022 are curated as a collection here.

World Development Report 2022

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Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Core Urban areas of the City of Semarang. The Core Urban area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core Urban area was the Very High Resolution (VHR) data of Pleiades (2015).

Land Use/Land Cover 2015 Map for Semarang (ESA EO4SD-Urban)

EO4SD-Urban Semarang City Operations Report

Semarang (Indonesia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)(Feature Service)

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Larger Urban areas of the City of Semarang. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Landsat-5 (2006).

Land Use/Land Cover 2006 Map for Semarang (ESA EO4SD-Urban)

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in Larger Urban areas of the City of Semarang. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Sentinel-2 (2016).

Land Use/Land Cover 2016 Map for Semarang (ESA EO4SD-Urban)

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in Core Urban areas of the City of Semarang. The Core Urban area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core Urban area was the Very High Resolution (VHR) data of Quickbird-2 (2006,  2008).

Link to Semarang land use / land cover datasets in the Urban Thematic Exploitation Platform (UTEP).

Urban Thematic Exploitation Platform (UTEP) Link - Semarang

Indonesia

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Larger Urban and Core City areas of the City of Semarang. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Landsat-5 (2006) and Sentinel-2 (2016). The Core Urban area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core Urban area was the Very High Resolution (VHR) data of Quickbird-2 (2006, 2008) and Pleiades (2015).

Semarang (Indonesia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)

Metadata