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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)

10.25829/ns9mh6
Data: netCDF (1.39MB)
Metadata: ACDD (JSON) | EML (XML)

Normalized Difference Snow Index

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The title of the dataset. Post-fire legacies management and snow cover
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
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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.
Provide the DOI number of associated publications. Click Plus to add DOIs.

N/A

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.
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. https://smartecomountains.lifewatch.dev/
The name of the person or other creator type principally responsible for creating this data.
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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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

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Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
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Species populations
Species distributions
Species abundances
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Species traits
Morphology
Physiology
Phenology
Movement
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Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
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Ecosystem functioning
Primary productivity
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Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
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Ecosystem services
Pollination
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Cross-cutting

Biological entity

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Species
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A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
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Scenario

Spatial domain

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

Temporal domain

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Environmental domain *

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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.