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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Research@WUR
Dataset . 2021
Data sources: Research@WUR
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2019 burned area map for Indonesia using Sentinel-2 data

Research datakeyboard_double_arrow_right Dataset 01 Jan 2021 Netherlands Publisher:Zenodo
Authors: Gaveau, David; Descal, Adrià; Salim, Mohammad; Sheil, Douglas; Sloan, Sean;

doi: 10.5281/zenodo.4551242 , 10.5281/zenodo.4551243

2019 burned area map for Indonesia using Sentinel-2 data

Abstract

The dataset '2019_burnedarea_indonesia' contains an Indonesia-wide map of burned areas for 2019 derived based on an analysis of time-series Sentinel-2 imagery at spatial resolution: 20 m x 20 m. The reference dataset 'Reference_dataset' contains 1298 randomly-distributed reference sites used to validate the burned area dataset (SENTINEL) and two other burned area products: 1) the 2019 Landsat-8 Official estimate from the Indonesian Ministry of Environment and Forestry, and 2) the 2019 MODIS burned area product (MCD64A1). Each reference site includes attribute ‘REFERENCE’ to describe the values obtained by visual interpretation: either ‘NO’ unburned or ‘YES’ burned. Each reference point has three attributes: ‘C_SENTINEL’, ‘C_OFFICIAL’ and ‘C_MCD64A1’ to describe the values of the classification of each burned area product: either ‘NO’ unburned or ‘YES’ burned. Finally, each reference point has three additional attributes: ‘SENTINEL’, ‘OFFICIAL’, and MCD64A1’ to describe which burned area product this reference point validates. The values are either 0: not validate or 1: validate.

The dataset '2019_burnedarea_indonesia' contains an Indonesia-wide map of burned areas for 2019 derived based on an analysis of time-series Sentinel-2 imagery at spatial resolution: 20 m x 20 m. The reference dataset 'Reference_dataset' contains 1298 randomly-distributed reference sites used to validate the burned area dataset (SENTINEL) and two other burned area products: 1) the 2019 Landsat-8 Official estimate from the Indonesian Ministry of Environment and Forestry, and 2) the 2019 MODIS burned area product (MCD64A1). Each reference site includes attribute ‘REFERENCE’ to describe the values obtained by visual interpretation: either ‘NO’ unburned or ‘YES’ burned. Each reference point has three attributes: ‘C_SENTINEL’, ‘C_OFFICIAL’ and ‘C_MCD64A1’ to describe the values of the classification of each burned area product: either ‘NO’ unburned or ‘YES’ burned. Finally, each reference point has three additional attributes: ‘SENTINEL’, ‘OFFICIAL’, and MCD64A1’ to describe which burned area product this reference point validates. The values are either 0: not validate or 1: validate.

Country
Netherlands
Related Organizations
Keywords

validation, remote sensing, Burned area, Sentinel-2, remote sensing, Indonesia, validation, Indonesia, Sentinel-2, burned area

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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67
19
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