Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-04-05 09:28:52	ga_ls8c_ard_3-0-0_092077_2013-04-04_final
2013-04-05 09:29:16	ga_ls8c_ard_3-0-0_092078_2013-04-04_final
2013-06-11 09:36:51	ga_ls8c_ard_3-0-0_093074_2013-06-11_final
2013-06-11 09:37:15	ga_ls8c_ard_3-0-0_093075_2013-06-11_final
2013-06-11 09:37:39	ga_ls8c_ard_3-0-0_093076_2013-06-11_final
2013-06-13 09:26:28	ga_ls8c_ard_3-0-0_091079_2013-06-12_final
2013-06-13 09:26:52	ga_ls8c_ard_3-0-0_091080_2013-06-12_final
2013-06-13 09:27:16	ga_ls8c_ard_3-0-0_091081_2013-06-12_final
2013-06-13 09:27:40	ga_ls8c_ard_3-0-0_091082_2013-06-12_final
2013-06-13 09:28:04	ga_ls8c_ard_3-0-0_091083_2013-06-12_final
2013-06-13 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-06-12_final
2013-07-01 09:18:04	ga_ls8c_ard_3-0-0_089089_2013-06-30_final
2013-07-04 09:40:12	ga_ls8c_ard_3-0-0_094067_2013-07-04_final
2013-11-18 09:35:18	ga_ls8c_ard_3-0-0_093071_2013-11-18_final
2013-11-18 09:35:42	ga_ls8c_ard_3-0-0_093072_2013-11-18_final
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2013-11-18 09:37:18	ga_ls8c_ard_3-0-0_093076_2013-11-18_final
2013-11-20 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-11-19_final
2013-11-20 09:26:30	ga_ls8c_ard_3-0-0_091080_2013-11-19_final
2013-11-20 09:26:54	ga_ls8c_ard_3-0-0_091081_2013-11-19_final
2013-11-20 09:27:18	ga_ls8c_ard_3-0-0_091082_2013-11-19_final
2013-11-20 09:27:42	ga_ls8c_ard_3-0-0_091083_2013-11-19_final
2013-11-20 09:28:06	ga_ls8c_ard_3-0-0_091084_2013-11-19_final
2014-01-21 09:34:47	ga_ls8c_ard_3-0-0_093071_2014-01-21_final
2014-01-21 09:35:11	ga_ls8c_ard_3-0-0_093072_2014-01-21_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-01-21 09:35:59	ga_ls8c_ard_3-0-0_093074_2014-01-21_final
2014-01-21 09:36:23	ga_ls8c_ard_3-0-0_093075_2014-01-21_final
2014-01-21 09:36:47	ga_ls8c_ard_3-0-0_093076_2014-01-21_final
2014-01-23 09:25:37	ga_ls8c_ard_3-0-0_091079_2014-01-22_final
2014-01-23 09:26:00	ga_ls8c_ard_3-0-0_091080_2014-01-22_final
2014-01-23 09:26:24	ga_ls8c_ard_3-0-0_091081_2014-01-22_final
2014-01-23 09:26:48	ga_ls8c_ard_3-0-0_091082_2014-01-22_final
2014-01-23 09:27:12	ga_ls8c_ard_3-0-0_091083_2014-01-22_final
2014-01-23 09:27:36	ga_ls8c_ard_3-0-0_091084_2014-01-22_final
2014-01-25 09:17:14	ga_ls8c_ard_3-0-0_089089_2014-01-24_final
2014-01-25 09:17:38	ga_ls8c_ard_3-0-0_089090_2014-01-24_final
2017-11-04 09:38:31	ga_ls8c_ard_3-0-0_094067_2017-11-04_final
2017-11-04 09:40:07	ga_ls8c_ard_3-0-0_094071_2017-11-04_final
2017-11-29 09:33:48	ga_ls8c_ard_3-0-0_093071_2017-11-29_final
2017-11-29 09:34:11	ga_ls8c_ard_3-0-0_093072_2017-11-29_final
2017-11-29 09:34:35	ga_ls8c_ard_3-0-0_093073_2017-11-29_final
2017-11-29 09:34:59	ga_ls8c_ard_3-0-0_093074_2017-11-29_final
2017-11-29 09:35:23	ga_ls8c_ard_3-0-0_093075_2017-11-29_final
2017-11-29 09:35:47	ga_ls8c_ard_3-0-0_093076_2017-11-29_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2017-12-22 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-12-22_final
2017-12-22 09:40:01	ga_ls8c_ard_3-0-0_094071_2017-12-22_final
2018-01-07 09:38:21	ga_ls8c_ard_3-0-0_094067_2018-01-07_final
2018-01-07 09:39:56	ga_ls8c_ard_3-0-0_094071_2018-01-07_final
2018-01-23 09:38:12	ga_ls8c_ard_3-0-0_094067_2018-01-23_final
2018-01-23 09:39:48	ga_ls8c_ard_3-0-0_094071_2018-01-23_final
2018-09-22 09:28:43	ga_ls8c_ard_3-0-0_092075_2018-09-21_final
2018-09-22 09:29:07	ga_ls8c_ard_3-0-0_092076_2018-09-21_final
2018-09-22 09:29:31	ga_ls8c_ard_3-0-0_092077_2018-09-21_final
2018-09-22 09:29:55	ga_ls8c_ard_3-0-0_092078_2018-09-21_final
2018-09-22 09:30:19	ga_ls8c_ard_3-0-0_092079_2018-09-22_final
2018-09-22 09:30:43	ga_ls8c_ard_3-0-0_092080_2018-09-22_final
2018-09-24 09:19:34	ga_ls8c_ard_3-0-0_090083_2018-09-23_final
2018-09-24 09:19:58	ga_ls8c_ard_3-0-0_090084_2018-09-23_final
2018-09-24 09:20:22	ga_ls8c_ard_3-0-0_090085_2018-09-23_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-10-24 09:28:57	ga_ls8c_ard_3-0-0_092075_2018-10-23_final
2018-10-24 09:29:21	ga_ls8c_ard_3-0-0_092076_2018-10-23_final
2018-10-24 09:29:45	ga_ls8c_ard_3-0-0_092077_2018-10-23_final
2018-10-24 09:30:08	ga_ls8c_ard_3-0-0_092078_2018-10-24_final
2018-10-24 09:30:32	ga_ls8c_ard_3-0-0_092079_2018-10-24_final
2018-10-24 09:30:56	ga_ls8c_ard_3-0-0_092080_2018-10-24_final
2018-10-26 09:19:47	ga_ls8c_ard_3-0-0_090083_2018-10-25_final
2018-10-26 09:20:11	ga_ls8c_ard_3-0-0_090084_2018-10-25_final
2018-10-26 09:20:35	ga_ls8c_ard_3-0-0_090085_2018-10-25_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-26 09:21:23	ga_ls8c_ard_3-0-0_090087_2018-10-25_final
2018-10-26 09:21:47	ga_ls8c_ard_3-0-0_090088_2018-10-25_final
2022-05-19 09:33:35	ga_ls8c_ard_3-2-1_093071_2022-05-19_final
2022-05-19 09:33:59	ga_ls8c_ard_3-2-1_093072_2022-05-19_final
2022-05-19 09:34:23	ga_ls8c_ard_3-2-1_093073_2022-05-19_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-05-19 09:35:11	ga_ls8c_ard_3-2-1_093075_2022-05-19_final
2022-05-19 09:35:35	ga_ls8c_ard_3-2-1_093076_2022-05-19_final
2022-05-21 09:24:25	ga_ls8c_ard_3-2-1_091079_2022-05-20_final
2022-05-21 09:24:49	ga_ls8c_ard_3-2-1_091080_2022-05-20_final
2022-05-21 09:25:13	ga_ls8c_ard_3-2-1_091081_2022-05-20_final
2022-05-21 09:25:37	ga_ls8c_ard_3-2-1_091082_2022-05-20_final
2022-05-21 09:26:01	ga_ls8c_ard_3-2-1_091083_2022-05-20_final
2022-05-21 09:26:25	ga_ls8c_ard_3-2-1_091084_2022-05-20_final
2022-12-29 09:34:03	ga_ls8c_ard_3-2-1_093071_2022-12-29_final
2022-12-29 09:34:27	ga_ls8c_ard_3-2-1_093072_2022-12-29_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2022-12-29 09:35:15	ga_ls8c_ard_3-2-1_093074_2022-12-29_final
2022-12-29 09:35:39	ga_ls8c_ard_3-2-1_093075_2022-12-29_final
2022-12-29 09:36:03	ga_ls8c_ard_3-2-1_093076_2022-12-29_final
2022-12-31 09:24:53	ga_ls8c_ard_3-2-1_091079_2022-12-30_final
2022-12-31 09:25:17	ga_ls8c_ard_3-2-1_091080_2022-12-30_final
2022-12-31 09:25:41	ga_ls8c_ard_3-2-1_091081_2022-12-30_final
2022-12-31 09:26:05	ga_ls8c_ard_3-2-1_091082_2022-12-30_final
2022-12-31 09:26:29	ga_ls8c_ard_3-2-1_091083_2022-12-30_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years