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Date of publication: May 30, 2024

Version 1

Date of publication: May 30, 2024

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Post-fire legacies management and snow cover

by Carlos Javier Navarro

This dataset includes maps with Normalized Difference Snow Index (NDSI) values calculated from Landsat 5 SR available in the Google Earth Engine catalog (https://developers.google.com/earth-engine/datasets/catalog/landsat-5). These maps with NDSI values where used to quantify the occurrence of snow in two periods. A period before the forest fire that occurred in Lanjarón (southeast of Sierra Nevada, Spain) ranging from 2000 to 2005 and a post-fi ...(continue reading)

DOI 10.25829/ns9mh6
Citation
Navarro, C. (2024). Post-fire legacies management and snow cover (Version 1) [Dataset]. German Centre for Integrative Biodiversity Research. https://doi.org/10.25829/ns9mh6

Normalized Difference Snow Index

70
The title of the dataset. Post-fire legacies management and snow cover
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This dataset includes maps with Normalized Difference Snow Index (NDSI) values calculated from Landsat 5 SR available in the Google Earth Engine catalog (https://developers.google.com/earth-engine/datasets/catalog/landsat-5). These maps with NDSI values where used to quantify the occurrence of snow in two periods. A period before the forest fire that occurred in Lanjarón (southeast of Sierra Nevada, Spain) ranging from 2000 to 2005 and a post-fire period ranging from 2007 to 2012.
The maps include NDSI values and binary values of presence/absence of snow in the area that will be used to make comparisons between different treatments established in the forest management area after the fire. These treatments are non-intervention (NI), partial cuts (PCL) and salvage logging (SL) of the wood.
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The method of production of the original data.
Hover to see a suggestion for a minimum description. The bands involved in the calculation of this index are the green and shortwave infrared bands (Bands 2 and 5 respectively for Landsat 5). The calculations were carried out on the Google Earth Engine Platform. Then using a locally adjusted threshold of 0.35 we characterize the presence of snow at the pixel level.
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The URL from the project website. https://smartecomountains.lifewatch.dev/
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The email of the person or other creator type principally responsible for creating this data. carlosnavarro@go.ugr.es
carlosnavarro@go.ugr.es
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Essential Biodiversity Variables

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Genetic composition
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meter
southWest lat: 4090695, lon: 456165
northEast lat: 4092405, lon: 458265

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Miscellaneous information about the data, not captured elsewhere. This research is part of the project “Thematic Center on Mountain Ecosystem & Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada” (LIFEWATCH-2019-10-UGR-4), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. The project has also been co-financed by the Provincial Council of Granada.