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
2019-07-21 09:41:47	ga_ls8c_ard_3-1-0_094076_2019-07-21_final
2019-07-21 09:42:11	ga_ls8c_ard_3-1-0_094077_2019-07-21_final
2019-07-21 09:42:35	ga_ls8c_ard_3-1-0_094078_2019-07-21_final
2019-07-21 09:42:59	ga_ls8c_ard_3-1-0_094079_2019-07-21_final
2019-07-21 09:43:23	ga_ls8c_ard_3-1-0_094080_2019-07-21_final
2019-07-21 09:43:47	ga_ls8c_ard_3-1-0_094081_2019-07-21_final
2019-07-21 09:44:11	ga_ls8c_ard_3-1-0_094082_2019-07-21_final
2019-07-23 09:32:38	ga_ls8c_ard_3-1-0_092084_2019-07-23_final
2019-07-23 09:33:02	ga_ls8c_ard_3-1-0_092085_2019-07-23_final
2019-07-23 09:33:26	ga_ls8c_ard_3-1-0_092086_2019-07-23_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-23 09:35:02	ga_ls8c_ard_3-1-0_092090_2019-07-23_final
2019-08-06 09:41:54	ga_ls8c_ard_3-1-0_094076_2019-08-06_final
2019-08-06 09:42:18	ga_ls8c_ard_3-1-0_094077_2019-08-06_final
2019-08-06 09:42:42	ga_ls8c_ard_3-1-0_094078_2019-08-06_final
2019-08-06 09:43:06	ga_ls8c_ard_3-1-0_094079_2019-08-06_final
2019-08-06 09:43:30	ga_ls8c_ard_3-1-0_094080_2019-08-06_final
2019-08-06 09:43:54	ga_ls8c_ard_3-1-0_094081_2019-08-06_final
2019-08-06 09:44:18	ga_ls8c_ard_3-1-0_094082_2019-08-06_final
2019-08-08 09:32:45	ga_ls8c_ard_3-1-0_092084_2019-08-08_final
2019-08-08 09:33:09	ga_ls8c_ard_3-1-0_092085_2019-08-08_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-08 09:34:21	ga_ls8c_ard_3-1-0_092088_2019-08-08_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_final
2019-08-10 09:23:12	ga_ls8c_ard_3-1-0_090091_2019-08-09_final
2019-11-30 09:23:24	ga_ls8c_ard_3-1-0_090091_2019-11-29_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-06 09:47:51	ga_ls8c_ard_3-2-0_095075_2021-01-06_final
2021-01-06 09:48:15	ga_ls8c_ard_3-2-0_095076_2021-01-06_final
2021-01-06 09:48:39	ga_ls8c_ard_3-2-0_095077_2021-01-06_final
2021-01-06 09:49:03	ga_ls8c_ard_3-2-0_095078_2021-01-06_final
2021-02-20 09:23:08	ga_ls8c_ard_3-2-0_090091_2021-02-19_final
2021-03-06 09:32:36	ga_ls8c_ard_3-2-0_092084_2021-03-06_final
2021-03-06 09:33:00	ga_ls8c_ard_3-2-0_092085_2021-03-06_final
2021-03-06 09:33:24	ga_ls8c_ard_3-2-0_092086_2021-03-06_final
2021-03-06 09:33:47	ga_ls8c_ard_3-2-0_092087_2021-03-06_final
2021-03-06 09:34:11	ga_ls8c_ard_3-2-0_092088_2021-03-06_final
2021-03-06 09:34:35	ga_ls8c_ard_3-2-0_092089_2021-03-06_final
2021-03-06 09:34:59	ga_ls8c_ard_3-2-0_092090_2021-03-06_final
2021-03-11 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-03-11_final
2021-03-11 09:46:42	ga_ls8c_ard_3-2-0_095073_2021-03-11_final
2021-03-11 09:47:06	ga_ls8c_ard_3-2-0_095074_2021-03-11_final
2021-03-11 09:47:30	ga_ls8c_ard_3-2-0_095075_2021-03-11_final
2021-03-11 09:47:54	ga_ls8c_ard_3-2-0_095076_2021-03-11_final
2021-03-11 09:48:18	ga_ls8c_ard_3-2-0_095077_2021-03-11_final
2021-03-11 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-03-11_final
2021-03-15 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-03-14_final
2021-03-15 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-03-14_final
2021-03-15 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-03-14_final
2021-03-15 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-03-14_final
2021-03-18 09:50:25	ga_ls8c_ard_3-2-0_096067_2021-03-18_final
2021-03-18 09:50:48	ga_ls8c_ard_3-2-0_096068_2021-03-18_final
2021-03-18 09:51:12	ga_ls8c_ard_3-2-0_096069_2021-03-18_final
2021-03-18 09:51:36	ga_ls8c_ard_3-2-0_096070_2021-03-18_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-03-18 09:52:24	ga_ls8c_ard_3-2-0_096072_2021-03-18_final
2021-03-18 09:52:48	ga_ls8c_ard_3-2-0_096073_2021-03-18_final
2021-05-18 09:27:41	ga_ls8c_ard_3-2-0_091088_2021-05-17_final
2021-05-18 09:28:05	ga_ls8c_ard_3-2-0_091089_2021-05-17_final
2021-05-18 09:28:29	ga_ls8c_ard_3-2-0_091090_2021-05-17_final
2021-05-18 09:28:53	ga_ls8c_ard_3-2-0_091091_2021-05-17_final
2021-05-30 09:46:08	ga_ls8c_ard_3-2-0_095072_2021-05-30_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-05-30 09:46:56	ga_ls8c_ard_3-2-0_095074_2021-05-30_final
2021-05-30 09:47:20	ga_ls8c_ard_3-2-0_095075_2021-05-30_final
2021-05-30 09:47:44	ga_ls8c_ard_3-2-0_095076_2021-05-30_final
2021-05-30 09:48:08	ga_ls8c_ard_3-2-0_095077_2021-05-30_final
2023-12-05 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-12-05_final
2023-12-05 09:52:18	ga_ls8c_ard_3-2-1_096071_2023-12-05_final
2023-12-05 09:52:42	ga_ls8c_ard_3-2-1_096072_2023-12-05_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-07 09:42:18	ga_ls8c_ard_3-2-1_094077_2023-12-07_final
2023-12-07 09:42:42	ga_ls8c_ard_3-2-1_094078_2023-12-07_final
2023-12-07 09:43:06	ga_ls8c_ard_3-2-1_094079_2023-12-07_final
2023-12-07 09:43:30	ga_ls8c_ard_3-2-1_094080_2023-12-07_final
2023-12-07 09:43:54	ga_ls8c_ard_3-2-1_094081_2023-12-07_final
2023-12-07 09:44:18	ga_ls8c_ard_3-2-1_094082_2023-12-07_final
2023-12-09 09:32:46	ga_ls8c_ard_3-2-1_092084_2023-12-09_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-09 09:33:58	ga_ls8c_ard_3-2-1_092087_2023-12-09_final
2023-12-09 09:34:22	ga_ls8c_ard_3-2-1_092088_2023-12-09_final
2023-12-09 09:34:46	ga_ls8c_ard_3-2-1_092089_2023-12-09_final
2023-12-09 09:35:10	ga_ls8c_ard_3-2-1_092090_2023-12-09_final
2023-12-11 09:23:14	ga_ls8c_ard_3-2-1_090091_2023-12-10_final
2023-12-16 09:37:50	ga_ls8c_ard_3-2-1_093081_2023-12-16_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-16 09:39:02	ga_ls8c_ard_3-2-1_093084_2023-12-16_final
2023-12-16 09:39:26	ga_ls8c_ard_3-2-1_093085_2023-12-16_final
2023-12-16 09:39:50	ga_ls8c_ard_3-2-1_093086_2023-12-16_final
2023-12-21 09:52:00	ga_ls8c_ard_3-2-1_096070_2023-12-21_final
2023-12-21 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-12-21_final
2023-12-21 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-12-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years