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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "a3e96e72-8b36-4969-8cac-2c6fd603531a",
+ "metadata": {},
+ "source": [
+ "# Introduction to DEA Fuel Moisture Content
\n",
+ "\n",
+ "* **[Sign up to the DEA Sandbox](https://app.sandbox.dea.ga.gov.au/)** to run this notebook interactively from a browser\n",
+ "* **Compatibility:** Notebook currently compatible with the `DEA Sandbox` environment only\n",
+ "* **Products used:** [ga_s2am_fmc](https://explorer.dea.ga.gov.au/products/ga_s2am_fmc), [ga_s2bm_fmc](https://explorer.dea.ga.gov.au/products/ga_s2bm_fmc), [ga_s2cm_fmc](https://explorer.dea.ga.gov.au/products/ga_s2cm_fmc)\n",
+ "\n",
+ "## Background\n",
+ "Australia’s hot, dry climate and expansive bushland make it one of the most fire-prone regions in the world and hence understanding vegetation dryness is critical for managing bushfire risk.\n",
+ "\n",
+ "One key measure used for this purpose is Fuel Moisture Content (FMC) which refers to the amount of water contained in vegetation, expressed as a percentage of its dry weight. FMC plays a vital role in fire management because it indicates how easily vegetation can ignite and sustain fire; lower FMC levels mean drier and more flammable fuel.\n",
+ "\n",
+ "### What this product offers\n",
+ "The DEA Fuel Moisture Content (FMC) product is a remotely sensed proxy for the moisture content of vegetation. It estimates the percentage of water mass relative to dry mass in living vegetation based on its spectral signature. Vegetation moisture is a critical variable for understanding vegetation flammability and fire potential.\n",
+ "\n",
+ "Values range from 0 – 300%, representing by weight percent the amount of water in leaves compared to dry plant material. A value of 0% would indicate that there is no water content. A value of 100% indicates there is an equal weight of water and dry plant material. A value of 300% would mean there is approximately three times as much water as dry plant material. Values in the range of 0 – 150% are particularly relevant to fire behaviour analysis, as this range is strongly associated with changes in vegetation flammability and the likelihood of ignition.\n",
+ "\n",
+ "DEA FMC is derived from [Sentinel-2A, 2B, and 2C NBART](https://knowledge.dea.ga.gov.au/notebooks/DEA_products/DEA_Sentinel2_Surface_Reflectance/) satellite imagery at a 20 m resolution for all of Australia from 12 July 2015 to the present. It provides pixel-level FMC values for each corresponding Sentinel-2 scene, with masking applied to exclude clouds, cloud shadows, water, and terrain shadows.\n",
+ "\n",
+ "### Applications\n",
+ "* Monitoring and mapping the dryness of vegetation across different landscapes.\n",
+ "* Predicting and assessing vegetation flammability and fire risk, including fire spread and intensity.\n",
+ "* Modelling fire risk over time and across different ecosystems with changing climate conditions.\n",
+ "* Prioritising and evaluating fire, forestry, and utility agency management based on the dryness and assessed fire risk of vegetation.\n",
+ "\n",
+ "Please note that this product should not be used to make safety of life decisions.\n",
+ "\n",
+ "### Publications\n",
+ "Remotely sensed FMC was developed by Dr. Marta Yebra at the Australian National University (ANU). DEA FMC is a collaboration between the ANU and Geoscience Australia to operationalise Sentinel-2 based fuel moisture content. \n",
+ "\n",
+ "* Yebra, M., Quan, X., Riaño, D., Rozas Larraondo, P., van Dijk, A. I. J. M., & Cary, G. J., 2018. A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing. *Remote Sensing of Environment*, 212, 260–272. https://doi.org/10.1016/j.rse.2018.04.053\n",
+ "\n",
+ "## Description\n",
+ "\n",
+ "This notebook will demonstrate how to load data from the DEA Fuel Moisture Content product using the Digital Earth Australia datacube. \n",
+ "Topics covered include:\n",
+ "\n",
+ "1. Inspecting the products and measurements available in the datacube.\n",
+ "2. Loading DEA Fuel Moisture Content data for an area of interest.\n",
+ "3. Plotting DEA Fuel Moisture Content data.\n",
+ "\n",
+ "
| \n", + " | name | \n", + "description | \n", + "license | \n", + "default_crs | \n", + "default_resolution | \n", + "
|---|---|---|---|---|---|
| name | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
| ga_s2am_fmc | \n", + "ga_s2am_fmc | \n", + "Geoscience Australia Sentinel 2A MSI Fuel Moisture Content Collection 3 | \n", + "CC-BY-4.0 | \n", + "EPSG:3577 | \n", + "(-20, 20) | \n", + "
| ga_s2bm_fmc | \n", + "ga_s2bm_fmc | \n", + "Geoscience Australia Sentinel 2B MSI Fuel Moisture Content Collection 3 | \n", + "CC-BY-4.0 | \n", + "EPSG:3577 | \n", + "(-20, 20) | \n", + "
| ga_s2cm_fmc | \n", + "ga_s2cm_fmc | \n", + "Geoscience Australia Sentinel 2C MSI Fuel Moisture Content Collection 3 | \n", + "CC-BY-4.0 | \n", + "EPSG:3577 | \n", + "(-20, 20) | \n", + "
| \n", + " | \n", + " | name | \n", + "dtype | \n", + "units | \n", + "nodata | \n", + "aliases | \n", + "flags_definition | \n", + "
|---|---|---|---|---|---|---|---|
| product | \n", + "measurement | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
| ga_s2am_fmc | \n", + "fmc | \n", + "fmc | \n", + "int16 | \n", + "1 | \n", + "-999 | \n", + "NaN | \n", + "NaN | \n", + "
<xarray.Dataset> Size: 30MB\n", + "Dimensions: (time: 57, y: 506, x: 517)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 456B 2021-01-09 2021-01-14 ... 2021-12-30\n", + " * y (y) float64 4kB -3.842e+06 -3.842e+06 ... -3.852e+06 -3.852e+06\n", + " * x (x) float64 4kB 1.626e+06 1.626e+06 ... 1.636e+06 1.636e+06\n", + " spatial_ref int32 4B 3577\n", + "Data variables:\n", + " fmc (time, y, x) int16 30MB -999 -999 -999 -999 ... 60 58 54 76\n", + "Attributes:\n", + " crs: EPSG:3577\n", + " grid_mapping: spatial_ref
<xarray.DataArray 'fmc' (time: 57)> Size: 228B\n", + "array([ 79.384285, 67.91178 , 79.84558 , 67.836235, 83.11301 ,\n", + " 116.79842 , 90.5762 , 96.97326 , 110.778984, 108.96584 ,\n", + " nan, 111.26338 , 103.48187 , nan, 109.655426,\n", + " 110.28533 , 117.77734 , 117.66418 , 110.10057 , 109.74269 ,\n", + " 115.01629 , 111.444115, 108.48018 , 101.345146, 90.5684 ,\n", + " nan, 121.13201 , 90.529076, 126.012314, 118.971016,\n", + " 103.5572 , 84.044495, 112.06696 , 113.359726, 107.42688 ,\n", + " 117.97986 , 112.11829 , 95.79969 , 107.428055, 91.30989 ,\n", + " 101.6865 , 85.14229 , 92.57288 , 117.984665, 98.46089 ,\n", + " 130.76163 , 77.66888 , 90. , 105.312256, 75.38944 ,\n", + " 79.34586 , 106.61761 , 83.02428 , 71.578156, 83.18143 ,\n", + " 78.211876, 82.41828 ], dtype=float32)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 456B 2021-01-09 2021-01-14 ... 2021-12-30\n", + " spatial_ref int32 4B 3577