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
2020-05-08 10:52:11	ga_ls8c_ard_3-1-0_106068_2020-05-08_final
2020-05-08 10:54:11	ga_ls8c_ard_3-1-0_106073_2020-05-08_final
2020-05-08 10:57:46	ga_ls8c_ard_3-1-0_106082_2020-05-08_final
2020-05-09 11:37:50	ga_ls8c_ard_3-1-0_113074_2020-05-09_final
2020-05-09 11:38:14	ga_ls8c_ard_3-1-0_113075_2020-05-09_final
2020-05-10 09:05:20	ga_ls8c_ard_3-1-0_088079_2020-05-09_final
2020-05-10 10:40:13	ga_ls8c_ard_3-1-0_104069_2020-05-10_final
2020-05-10 10:42:13	ga_ls8c_ard_3-1-0_104074_2020-05-10_final
2020-05-11 09:48:12	ga_ls8c_ard_3-1-0_095078_2020-05-11_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-05-11 11:27:05	ga_ls8c_ard_3-1-0_111078_2020-05-11_final
2020-05-11 11:28:17	ga_ls8c_ard_3-1-0_111081_2020-05-11_final
2020-05-11 11:29:05	ga_ls8c_ard_3-1-0_111083_2020-05-11_final
2020-05-12 10:27:52	ga_ls8c_ard_3-1-0_102069_2020-05-12_final
2020-05-12 10:28:40	ga_ls8c_ard_3-1-0_102071_2020-05-12_final
2020-05-12 10:29:04	ga_ls8c_ard_3-1-0_102072_2020-05-12_final
2020-05-12 10:31:28	ga_ls8c_ard_3-1-0_102078_2020-05-12_final
2020-05-12 10:31:52	ga_ls8c_ard_3-1-0_102079_2020-05-12_final
2020-05-12 10:32:40	ga_ls8c_ard_3-1-0_102081_2020-05-12_final
2020-05-12 10:33:04	ga_ls8c_ard_3-1-0_102082_2020-05-12_final
2020-05-13 11:10:20	ga_ls8c_ard_3-1-0_109067_2020-05-13_final
2020-05-13 11:11:32	ga_ls8c_ard_3-1-0_109070_2020-05-13_final
2020-05-13 11:15:32	ga_ls8c_ard_3-1-0_109080_2020-05-13_final
2020-05-13 11:17:31	ga_ls8c_ard_3-1-0_109085_2020-05-13_final
2020-05-14 10:20:42	ga_ls8c_ard_3-1-0_100082_2020-05-14_final
2020-05-15 10:57:59	ga_ls8c_ard_3-1-0_107067_2020-05-15_final
2020-05-15 11:04:22	ga_ls8c_ard_3-1-0_107083_2020-05-15_final
2020-05-16 10:06:46	ga_ls8c_ard_3-1-0_098078_2020-05-16_final
2020-05-16 10:08:45	ga_ls8c_ard_3-1-0_098083_2020-05-16_final
2020-05-16 10:09:09	ga_ls8c_ard_3-1-0_098084_2020-05-16_final
2020-05-16 11:45:15	ga_ls8c_ard_3-1-0_114077_2020-05-16_final
2020-05-16 11:46:50	ga_ls8c_ard_3-1-0_114081_2020-05-16_final
2020-05-17 10:46:02	ga_ls8c_ard_3-1-0_105068_2020-05-17_final
2020-05-17 10:47:38	ga_ls8c_ard_3-1-0_105072_2020-05-17_final
2020-05-17 10:50:25	ga_ls8c_ard_3-1-0_105079_2020-05-17_final
2020-05-17 10:50:49	ga_ls8c_ard_3-1-0_105080_2020-05-17_final
2020-05-18 11:30:30	ga_ls8c_ard_3-1-0_112071_2020-05-18_final
2020-05-18 11:31:42	ga_ls8c_ard_3-1-0_112074_2020-05-18_final
2020-05-18 11:32:30	ga_ls8c_ard_3-1-0_112076_2020-05-18_final
2020-05-18 11:32:53	ga_ls8c_ard_3-1-0_112077_2020-05-18_final
2020-05-18 11:35:41	ga_ls8c_ard_3-1-0_112084_2020-05-18_final
2020-05-19 10:34:05	ga_ls8c_ard_3-1-0_103069_2020-05-19_final
2020-05-19 10:36:04	ga_ls8c_ard_3-1-0_103074_2020-05-19_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2020-05-20 11:19:20	ga_ls8c_ard_3-1-0_110074_2020-05-20_final
2020-05-20 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-20_final
2020-05-20 11:22:32	ga_ls8c_ard_3-1-0_110082_2020-05-20_final
2020-05-23 10:09:46	ga_ls8c_ard_3-1-0_099070_2020-05-23_final
2020-05-23 10:11:22	ga_ls8c_ard_3-1-0_099074_2020-05-23_final
2020-05-23 10:12:58	ga_ls8c_ard_3-1-0_099078_2020-05-23_final
2020-05-23 10:14:10	ga_ls8c_ard_3-1-0_099081_2020-05-23_final
2020-05-23 10:14:34	ga_ls8c_ard_3-1-0_099082_2020-05-23_final
2020-05-23 11:51:51	ga_ls8c_ard_3-1-0_115078_2020-05-23_final
2020-05-24 10:51:50	ga_ls8c_ard_3-1-0_106067_2020-05-24_final
2020-05-24 10:53:02	ga_ls8c_ard_3-1-0_106070_2020-05-24_final
2020-05-25 11:37:54	ga_ls8c_ard_3-1-0_113074_2020-05-25_final
2020-05-25 11:38:42	ga_ls8c_ard_3-1-0_113076_2020-05-25_final
2020-05-25 11:39:54	ga_ls8c_ard_3-1-0_113079_2020-05-25_final
2020-05-25 11:41:53	ga_ls8c_ard_3-1-0_113084_2020-05-25_final
2020-05-26 09:05:23	ga_ls8c_ard_3-1-0_088079_2020-05-25_final
2020-05-26 10:42:17	ga_ls8c_ard_3-1-0_104074_2020-05-26_final
2020-05-26 10:42:41	ga_ls8c_ard_3-1-0_104075_2020-05-26_final
2020-05-27 09:48:15	ga_ls8c_ard_3-1-0_095078_2020-05-27_final
2020-05-27 09:52:15	ga_ls8c_ard_3-1-0_095088_2020-05-27_final
2020-05-27 11:26:44	ga_ls8c_ard_3-1-0_111077_2020-05-27_final
2020-05-27 11:28:20	ga_ls8c_ard_3-1-0_111081_2020-05-27_final
2020-05-28 10:27:56	ga_ls8c_ard_3-1-0_102069_2020-05-28_final
2020-05-28 10:28:43	ga_ls8c_ard_3-1-0_102071_2020-05-28_final
2020-05-28 10:29:07	ga_ls8c_ard_3-1-0_102072_2020-05-28_final
2020-05-28 10:31:31	ga_ls8c_ard_3-1-0_102078_2020-05-28_final
2020-05-28 10:31:55	ga_ls8c_ard_3-1-0_102079_2020-05-28_final
2020-05-28 10:33:07	ga_ls8c_ard_3-1-0_102082_2020-05-28_final
2020-05-29 11:10:24	ga_ls8c_ard_3-1-0_109067_2020-05-29_final
2020-05-29 11:11:59	ga_ls8c_ard_3-1-0_109071_2020-05-29_final
2020-05-29 11:17:35	ga_ls8c_ard_3-1-0_109085_2020-05-29_final
2020-05-30 10:16:23	ga_ls8c_ard_3-1-0_100071_2020-05-30_final
2020-05-30 10:21:34	ga_ls8c_ard_3-1-0_100084_2020-05-30_final
2020-05-30 11:57:16	ga_ls8c_ard_3-1-0_116076_2020-05-30_final
2020-05-30 11:57:40	ga_ls8c_ard_3-1-0_116077_2020-05-30_final
2020-05-31 11:04:27	ga_ls8c_ard_3-1-0_107083_2020-05-31_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-06-01 10:07:14	ga_ls8c_ard_3-1-0_098079_2020-06-01_final
2020-06-01 10:07:38	ga_ls8c_ard_3-1-0_098080_2020-06-01_final
2020-06-01 10:09:14	ga_ls8c_ard_3-1-0_098084_2020-06-01_final
2020-06-01 10:09:38	ga_ls8c_ard_3-1-0_098085_2020-06-01_final
2020-06-01 11:44:31	ga_ls8c_ard_3-1-0_114075_2020-06-01_final
2020-06-01 11:44:55	ga_ls8c_ard_3-1-0_114076_2020-06-01_final
2020-06-01 11:45:19	ga_ls8c_ard_3-1-0_114077_2020-06-01_final
2020-06-01 11:46:31	ga_ls8c_ard_3-1-0_114080_2020-06-01_final
2020-06-01 11:46:55	ga_ls8c_ard_3-1-0_114081_2020-06-01_final
2020-06-02 10:46:07	ga_ls8c_ard_3-1-0_105068_2020-06-02_final
2020-06-03 11:30:11	ga_ls8c_ard_3-1-0_112070_2020-06-03_final
2020-06-03 11:30:35	ga_ls8c_ard_3-1-0_112071_2020-06-03_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-03 11:32:35	ga_ls8c_ard_3-1-0_112076_2020-06-03_final
2020-06-03 11:32:59	ga_ls8c_ard_3-1-0_112077_2020-06-03_final
2020-06-03 11:33:23	ga_ls8c_ard_3-1-0_112078_2020-06-03_final
2020-06-03 11:35:23	ga_ls8c_ard_3-1-0_112083_2020-06-03_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