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
2019-11-13 10:09:05	ga_ls8c_ard_3-2-1_099066_2019-11-13_final
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-11-15 10:14:12	ga_ls8c_ard_3-1-0_099079_2020-11-15_final
2020-12-19 11:35:59	ga_ls8c_ard_3-2-0_113067_2020-12-19_final
2020-12-27 09:16:49	ga_ls8c_ard_3-2-0_089090_2020-12-26_final
2021-01-15 11:18:53	ga_ls8c_ard_3-2-0_110071_2021-01-15_final
2021-01-28 10:47:57	ga_ls8c_ard_3-2-0_105071_2021-01-28_final
2021-02-08 10:28:58	ga_ls8c_ard_3-2-0_102070_2021-02-08_final
2021-02-13 09:16:12	ga_ls8c_ard_3-2-0_089089_2021-02-12_final
2021-02-14 11:32:21	ga_ls8c_ard_3-2-0_112074_2021-02-14_final
2021-03-22 09:26:05	ga_ls8c_ard_3-2-0_092068_2021-03-21_final
2021-03-22 11:05:22	ga_ls8c_ard_3-2-0_108069_2021-03-22_final
2021-03-27 09:44:12	ga_ls8c_ard_3-2-0_095067_2021-03-27_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-04-06 10:22:50	ga_ls8c_ard_3-2-0_101071_2021-04-06_final
2021-04-08 10:13:39	ga_ls8c_ard_3-2-0_099079_2021-04-08_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-22 10:27:07	ga_ls8c_ard_3-2-0_101082_2021-04-22_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-18 09:21:42	ga_ls8c_ard_3-2-0_091073_2021-05-17_final
2021-06-03 11:01:07	ga_ls8c_ard_3-2-0_107074_2021-06-03_final
2021-06-08 09:45:12	ga_ls8c_ard_3-2-0_094085_2021-06-08_final
2021-06-15 11:25:55	ga_ls8c_ard_3-2-0_111074_2021-06-15_final
2021-06-27 10:13:48	ga_ls8c_ard_3-2-0_099079_2021-06-27_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-08 11:29:47	ga_ls8c_ard_3-2-0_112068_2021-07-08_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-07-23 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-07-23_final
2021-07-27 10:23:06	ga_ls8c_ard_3-2-0_101071_2021-07-27_final
2021-08-02 11:25:45	ga_ls8c_ard_3-2-0_111073_2021-08-02_final
2021-08-08 09:13:49	ga_ls8c_ard_3-2-0_089083_2021-08-07_final
2021-08-13 09:34:23	ga_ls8c_ard_3-2-0_092088_2021-08-13_final
2021-08-16 11:37:48	ga_ls8c_ard_3-2-0_113072_2021-08-16_final
2021-09-05 11:14:22	ga_ls8c_ard_3-2-0_109075_2021-09-05_final
2021-10-16 09:32:17	ga_ls8c_ard_3-2-0_092082_2021-10-16_final
2021-11-11 11:47:48	ga_ls8c_ard_3-2-0_114081_2021-11-11_final
2021-11-27 11:42:11	ga_ls8c_ard_3-2-0_114067_2021-11-27_final
2022-01-29 11:05:06	ga_ls8c_ard_3-2-1_107083_2022-01-29_final
2022-02-23 09:21:55	ga_ls8c_ard_3-2-1_090088_2022-02-22_final
2022-02-27 10:33:41	ga_ls8c_ard_3-2-1_102082_2022-02-27_final
2022-03-05 09:51:48	ga_ls8c_ard_3-2-1_096070_2022-03-05_final
2022-03-18 10:59:40	ga_ls8c_ard_3-2-1_107070_2022-03-18_final
2022-04-05 10:51:57	ga_ls8c_ard_3-2-1_105082_2022-04-05_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-04-23 10:35:39	ga_ls8c_ard_3-2-1_103072_2022-04-23_final
2022-06-05 10:16:57	ga_ls8c_ard_3-2-1_100071_2022-06-05_final
2022-06-16 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-06-16_final
2022-06-25 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-06-25_final
2022-07-03 09:06:59	ga_ls8c_ard_3-2-1_088081_2022-07-02_final
2022-07-10 09:12:21	ga_ls8c_ard_3-2-1_089079_2022-07-09_final
2022-07-20 11:24:22	ga_ls8c_ard_3-2-1_111069_2022-07-20_final
2022-07-20 11:24:46	ga_ls8c_ard_3-2-1_111070_2022-07-20_final
2022-07-25 10:03:42	ga_ls8c_ard_3-2-1_098068_2022-07-25_final
2022-08-13 10:36:21	ga_ls8c_ard_3-2-1_103072_2022-08-13_final
2022-08-27 10:49:32	ga_ls8c_ard_3-2-1_105074_2022-08-27_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-09-28 09:12:46	ga_ls8c_ard_3-2-1_089079_2022-09-27_final
2022-10-03 09:29:17	ga_ls8c_ard_3-2-1_092074_2022-10-02_final
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-10-21 10:55:22	ga_ls8c_ard_3-2-1_106073_2022-10-21_final
2022-11-16 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-11-16_final
2022-11-21 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-11-21_final
2022-12-10 10:46:33	ga_ls8c_ard_3-2-1_104082_2022-12-10_final
2022-12-16 10:05:01	ga_ls8c_ard_3-2-1_098071_2022-12-16_final
2022-12-22 09:33:02	ga_ls8c_ard_3-2-1_092084_2022-12-22_final
2023-01-25 09:22:15	ga_ls8c_ard_3-2-1_090088_2023-01-24_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-02-26 09:17:33	ga_ls8c_ard_3-2-1_090077_2023-02-25_final
2023-02-26 10:54:50	ga_ls8c_ard_3-2-1_106073_2023-02-26_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-03-29 10:10:56	ga_ls8c_ard_3-2-1_099072_2023-03-29_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-04-24 09:12:02	ga_ls8c_ard_3-2-1_089080_2023-04-23_final
2023-06-07 11:13:31	ga_ls8c_ard_3-2-1_109075_2023-06-07_final
2023-06-09 09:27:53	ga_ls8c_ard_3-2-1_091089_2023-06-08_final
2023-07-06 09:06:48	ga_ls8c_ard_3-2-1_088082_2023-07-05_final
2023-07-08 10:32:32	ga_ls8c_ard_3-2-1_102080_2023-07-08_final
2023-07-09 11:11:25	ga_ls8c_ard_3-2-1_109069_2023-07-09_final
2023-08-03 09:34:06	ga_ls8c_ard_3-2-1_092088_2023-08-03_final
2023-08-06 09:57:02	ga_ls8c_ard_3-2-1_097068_2023-08-06_final
2023-08-13 11:47:18	ga_ls8c_ard_3-2-1_114081_2023-08-13_final
2023-08-14 09:13:37	ga_ls8c_ard_3-2-1_089083_2023-08-13_final
2023-08-15 11:32:11	ga_ls8c_ard_3-2-1_112074_2023-08-15_final
2023-08-23 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-08-22_final
2023-09-14 10:09:47	ga_ls8c_ard_3-2-1_098084_2023-09-14_final
2023-10-08 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-10-08_final
2023-11-02 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-02_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2023-12-03 10:05:07	ga_ls8c_ard_3-2-1_098072_2023-12-03_final
2023-12-17 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-17_final
2024-01-03 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-01-03_final
2024-01-13 11:38:34	ga_ls8c_ard_3-2-1_113074_2024-01-13_final
2024-01-28 10:55:12	ga_ls8c_ard_3-2-1_106074_2024-01-28_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_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