MANGROVE_COVER_3577_-10_-18_19920101.nc

dataset of product mangrove_cover
Indexed by dra547 , created
Archived
for 1st January 1992

Fields 🔗

creation_time 2018-07-25 11:09:08 🔍 format NetCDF id d93ea9c3-c7dd-480f-9509-d9c86151c7e3 🔍 instrument TM,ETM+,OLI label • 🔍 lat -16.626 to -15.657 🔍 lon 122.659 to 123.651 🔍 platform LANDSAT_5,LANDSAT_7,LANDSAT_8 product_type mangrove_extent_cover time 1992-01-01 00:00:00 to 1992-01-01 00:00:00 🔍

Related Datasets 🔗

03796f2e-bcfa-4b2f-89d8-f231908b58e6
MANGROVE_COVER_3577_-10_-18_19920101.nc

Location 🔗

file:///g/data/fk4/datacube/002/MANGROVE_COVER/MANGROVES_1_0_0/-10_-18/MANGROVE_COVER_3577_-10_-18_19920101.nc

Metadata Document 🔗

RAW As Stac
id: d93ea9c3-c7dd-480f-9509-d9c86151c7e3
product_type: mangrove_extent_cover
creation_dt: 2018-07-25T11:09:08.363728
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM+,OLI
format:
name: NetCDF
extent:
coord:
ll:
lat: -16.56272986037222
lon: 122.65876598018544
lr:
lat: -16.625697673323412
lon: 123.59004409177635
ul:
lat: -15.656710416582294
lon: 122.72645234084771
ur:
lat: -15.71939775763307
lon: 123.65102320147098
to_dt: 1992-01-01T00:00:00
from_dt: 1992-01-01T00:00:00
center_dt: 1992-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
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geo_ref_points:
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spatial_reference: EPSG:3577
image:
bands:
extent:
path:
layer: extent
canopy_cover_class:
path:
layer: canopy_cover_class
lineage:
algorithm:
name: datacube-stats
version: 0.9b1
repo_url: https://github.com/GeoscienceAustralia/datacube-stats.git
parameters:
configuration_file:
sources: [
crs: EPSG:3577
product: fc_percentile_albers_annual
measurements: [
PV_PC_10
]
]
storage:
crs: EPSG:3577
driver: NetCDF CF
chunking:
x: 200
y: 200
time: 1
tile_size:
x: 100000.0
y: 100000.0
resolution:
x: 25
y: -25
dimension_order: [
time
y
x
]
location: /g/data/r78/mangrove_cover
computation:
date_ranges:
end_date: 1993-01-01
step_size: 1y
start_date: 1992-01-01
stats_duration: 1y
input_region:
tiles: [
[
-10
-18
]
]
filter_product:
var_attributes:
extent:
long_name: Mangrove Canopy Cover Extent
standard_name: mangrove_canopy_cover_extent
coverage_content_type: qualityInformation
canopy_cover_class:
long_name: Mangrove Canopy Cover Class
standard_name: mangrove_canopy_cover_class
coverage_content_type: qualityInformation
output_products: [
name: mangrove_extent_cover_albers
metadata:
format:
name: NetCDF
platform:
code: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument:
name: TM,ETM+,OLI
statistic: external
product_type: mangrove_extent_cover
output_params:
zlib: True
fletcher32: True
statistic_args:
impl: datacube_stats.mangrove.MangroveCC
shape_file: /g/data/v10/mangroves/GMW_UnionMangroveExtent_v1.3_Australia_epsg3577.shp
thresholds: [
15
40
62
]
file_path_template: MANGROVE_COVER/{x}_{y}/MANGROVE_COVER_3577_{x}_{y}_{epoch_start:%Y%m%d}.nc
]
global_attributes:
title: Mangrove Canopy Cover - Annual
source: Annual summary of Fractional Cover and WOfS
authurs: Leo Lymburner, Peter Bunting, Richard Lucas, Peter Scarth, Imam Alam, Claire Phillips, Catherine Ticehurst, Alex Held
license: CC BY Attribution 4.0 International License
summary: The mangrove canopy cover product provides valuable information about the extent and canopy density of mangroves for each year between 1987 and 2016 for the entire Australian coastline. The canopy cover classes are 20-50% (pale green), 50-80% (mid green), 80-100% (dark green). The product consists of a sequence (one per year) of 25 meter resolution maps that are generated by analysing the Landsat fractional cover (https://doi.org/10.6084/m9.figshare.94250.v1) developed by the Joint Remote Sensing Research Program and the Global Mangrove Watch layers (https://doi.org/10.1071/MF13177) developed by the Japanese Aerospace Exploration Agency.
keywords: AU/GA,NASA/GSFC/SED/ESD/LANDSAT,REFLECTANCEE,TM+,TM,OLI,EARTH SCIENCE
platform: LANDSAT_5,LANDSAT_7,LANDSAT_8
instrument: TM,ETM+,OLI
references: Scarth, P., Roder, A. and Schmidt, M., 2010. Tracking grazing pressure and climate interaction - the role of Landsat fractional cover in time series analysis, Proceedings of the 15th Australasian Remote Sensing & Photogrammetry Conference, viewed 4 January 2011, www.scribd.com/doc/37455672/15arspc-Submission-140. Schmidt, M., Denham, R. and Scarth, P., 2010. Fractional ground cover monitoring of pastures and agricultural areas in Queensland, Proceedings of the 15th Australasian Remote Sensing & Photogrammetry Conference, viewed 4 January 2011, www.scribd.com/doc/37455826/15arspc-Submission-119. N. Mueller, A. Lewis, D. Roberts, S. Ring, R. Melrose, J. Sixsmith, L. Lymburner, A. McIntyre, P. Tan, S. Curnow, A. Ip, Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia, Remote Sensing of Environment, Volume 174, 1 March 2016, Pages 341-352, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2015.11.003. (http://www.sciencedirect.com/science/article/pii/S0034425715301929).
institution: Commonwealth of Australia (Geoscience Australia)
cdm_data_type: Grid
publisher_url: http://www.ga.gov.au
acknowledgment: Landsat data is provided by the United States Geological Survey (USGS) through direct reception of the data at Geoscience Australias satellite reception facility or download. The fractional cover algorithm was developed by the Joint Remote Sensing Research Program (JRSRP) and is described in Scarth et al. (2010). While originally calibrated in Queensland, a large collaborative effort between The Department of Agriculture & ABARES and State and Territory governments to collect additional calibration data has enabled the calibration to extend to the entire Australian continent. FC_25 was made possible by new scientific and technical capabilities, the collaborative framework established by the Terrestrial Ecosystem Research Network (TERN) through the National Collaborative Research Infrastructure Strategy (NCRIS), and collaborative effort between state and Commonwealth governments. This product is the result of a collaboration between Geoscience Australia, the University of Aberyswyth, CSIRO, the Joint Remote Sensing Research Program and the Terrestrial Ecosystem Research Network. WOfS is being developed in parallel with the National Flood Studies Database system which wil provide Flood Study documentation and reports to a wide range of users.
publisher_name: Section Leader, Operations Section, NEMO, Geoscience Australia
publisher_type: institution
product_version: Version 1.0.0, July 2018
publisher_email: earth.observation@ga.gov.au
keywords_vocabulary: GCMD
machine:
uname: Linux r3704 3.10.0-862.3.3.el6.x86_64 #1 SMP Wed Jun 27 18:22:35 AEST 2018 x86_64
hostname: r3704
software_versions:
python:
version: 3.6.2 (default, Aug 14 2017, 13:37:56) [GCC 4.4.7 20120313 (Red Hat 4.4.7-18)]
datacube:
version: 1.6rc2
repo_url: https://github.com/opendatacube/datacube-core.git
source_datasets:
statistics:
step: 1y
period: 1y