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
2021-10-21 11:26:31	ga_ls8c_ard_3-2-0_111074_2021-10-21_final
2021-10-30 09:41:03	ga_ls8c_ard_3-2-0_094073_2021-10-30_final
2021-11-09 10:19:17	ga_ls8c_ard_3-2-0_100076_2021-11-09_final
2021-11-11 10:07:19	ga_ls8c_ard_3-2-0_098077_2021-11-11_final
2021-11-19 09:19:25	ga_ls8c_ard_3-2-0_090081_2021-11-18_final
2021-12-03 09:34:13	ga_ls8c_ard_3-2-0_092087_2021-12-03_final
2021-12-06 11:41:36	ga_ls8c_ard_3-2-1_113081_2021-12-06_final
2021-12-12 11:02:31	ga_ls8c_ard_3-2-1_107076_2021-12-12_final
2021-12-28 09:25:33	ga_ls8c_ard_3-2-1_091081_2021-12-27_final
2022-01-04 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-01-03_final
2022-01-19 10:25:41	ga_ls8c_ard_3-2-1_101077_2022-01-19_final
2022-01-24 10:45:23	ga_ls8c_ard_3-2-1_104080_2022-01-24_final
2022-01-31 09:16:15	ga_ls8c_ard_3-2-1_089089_2022-01-30_final
2022-02-05 09:34:47	ga_ls8c_ard_3-2-1_092089_2022-02-05_final
2022-02-06 10:14:03	ga_ls8c_ard_3-2-1_099079_2022-02-06_final
2022-02-07 09:23:13	ga_ls8c_ard_3-2-1_090091_2022-02-06_final
2022-02-16 09:12:59	ga_ls8c_ard_3-2-1_089081_2022-02-15_final
2022-03-06 10:34:39	ga_ls8c_ard_3-2-1_103069_2022-03-06_final
2022-03-11 09:21:52	ga_ls8c_ard_3-2-1_090088_2022-03-10_final
2022-03-15 10:30:00	ga_ls8c_ard_3-2-1_102073_2022-03-15_final
2022-03-28 09:57:44	ga_ls8c_ard_3-2-1_097070_2022-03-28_final
2022-04-03 10:59:30	ga_ls8c_ard_3-2-1_107070_2022-04-03_final
2022-04-14 10:40:16	ga_ls8c_ard_3-2-1_104068_2022-04-14_final
2022-04-26 09:33:38	ga_ls8c_ard_3-2-1_092087_2022-04-26_final
2022-05-05 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-05-04_final
2022-05-05 09:28:18	ga_ls8c_ard_3-2-1_091089_2022-05-04_final
2022-05-09 10:34:08	ga_ls8c_ard_3-2-1_103068_2022-05-09_final
2022-05-22 10:09:41	ga_ls8c_ard_3-2-1_098084_2022-05-22_final
2022-05-24 09:57:19	ga_ls8c_ard_3-2-1_096084_2022-05-24_final
2022-05-25 10:34:11	ga_ls8c_ard_3-2-1_103068_2022-05-25_final
2022-05-26 11:22:14	ga_ls8c_ard_3-2-1_110080_2022-05-26_final
2022-05-28 09:33:46	ga_ls8c_ard_3-2-1_092087_2022-05-28_final
2022-05-31 10:03:56	ga_ls8c_ard_3-2-1_097085_2022-05-31_final
2022-06-06 09:22:33	ga_ls8c_ard_3-2-1_091074_2022-06-05_final
2022-06-11 11:23:14	ga_ls8c_ard_3-2-1_110082_2022-06-11_final
2022-06-13 09:32:48	ga_ls8c_ard_3-2-1_092084_2022-06-13_final
2022-06-27 09:46:03	ga_ls8c_ard_3-2-1_094086_2022-06-27_final
2022-07-13 11:20:08	ga_ls8c_ard_3-2-1_110074_2022-07-13_final
2022-08-04 10:42:52	ga_ls8c_ard_3-2-1_104073_2022-08-04_final
2022-08-11 09:12:37	ga_ls8c_ard_3-2-1_089079_2022-08-10_final
2022-08-11 10:47:07	ga_ls8c_ard_3-2-1_105068_2022-08-11_final
2022-08-18 09:23:13	ga_ls8c_ard_3-2-1_090090_2022-08-17_final
2022-08-21 11:25:25	ga_ls8c_ard_3-2-1_111071_2022-08-21_final
2022-09-09 10:21:29	ga_ls8c_ard_3-2-1_100081_2022-09-09_final
2022-10-01 09:45:39	ga_ls8c_ard_3-2-1_094084_2022-10-01_final
2022-10-01 11:20:32	ga_ls8c_ard_3-2-1_110074_2022-10-01_final
2022-10-10 09:35:47	ga_ls8c_ard_3-2-1_093075_2022-10-10_final
2022-10-10 11:17:04	ga_ls8c_ard_3-2-1_109081_2022-10-10_final
2022-10-22 11:42:14	ga_ls8c_ard_3-2-1_113082_2022-10-22_final
2022-11-27 09:37:48	ga_ls8c_ard_3-2-1_093080_2022-11-27_final
2022-11-30 10:10:42	ga_ls8c_ard_3-2-1_098085_2022-11-30_final
2022-12-14 10:17:48	ga_ls8c_ard_3-2-1_100072_2022-12-14_final
2022-12-27 11:26:29	ga_ls8c_ard_3-2-1_111074_2022-12-27_final
2022-12-27 11:30:29	ga_ls8c_ard_3-2-1_111084_2022-12-27_final
2022-12-29 09:40:26	ga_ls8c_ard_3-2-1_093087_2022-12-29_final
2022-12-30 10:18:07	ga_ls8c_ard_3-2-1_100073_2022-12-30_final
2023-01-07 09:31:28	ga_ls8c_ard_3-2-1_092080_2023-01-07_final
2023-01-09 10:55:10	ga_ls8c_ard_3-2-1_106073_2023-01-09_final
2023-01-29 10:30:03	ga_ls8c_ard_3-2-1_102072_2023-01-29_final
2023-02-22 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-02-22_final
2023-03-14 09:21:51	ga_ls8c_ard_3-2-1_090088_2023-03-13_final
2023-03-16 09:06:41	ga_ls8c_ard_3-2-1_088081_2023-03-15_final
2023-03-16 10:42:23	ga_ls8c_ard_3-2-1_104073_2023-03-16_final
2023-03-22 11:44:29	ga_ls8c_ard_3-2-1_114074_2023-03-22_final
2023-03-31 09:57:45	ga_ls8c_ard_3-2-1_097070_2023-03-31_final
2023-04-14 11:52:45	ga_ls8c_ard_3-2-1_115080_2023-04-14_final
2023-04-16 11:41:35	ga_ls8c_ard_3-2-1_113083_2023-04-16_final
2023-04-18 11:25:13	ga_ls8c_ard_3-2-1_111073_2023-04-18_final
2023-04-20 09:33:33	ga_ls8c_ard_3-2-1_093072_2023-04-20_final
2023-04-20 09:38:44	ga_ls8c_ard_3-2-1_093085_2023-04-20_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-05-26 10:48:43	ga_ls8c_ard_3-2-1_105075_2023-05-26_final
2023-05-27 09:56:17	ga_ls8c_ard_3-2-1_096083_2023-05-27_final
2023-06-14 09:44:52	ga_ls8c_ard_3-2-1_094085_2023-06-14_final
2023-06-30 11:21:06	ga_ls8c_ard_3-2-1_110078_2023-06-30_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-29 09:16:19	ga_ls8c_ard_3-2-1_089090_2023-07-28_final
2023-08-24 09:51:59	ga_ls8c_ard_3-2-1_095086_2023-08-24_final
2023-09-21 11:52:28	ga_ls8c_ard_3-2-1_115078_2023-09-21_final
2023-10-04 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-10-04_final
2023-10-20 09:40:45	ga_ls8c_ard_3-2-1_094073_2023-10-20_final
2023-10-21 10:27:37	ga_ls8c_ard_3-2-1_101082_2023-10-21_final
2023-10-23 10:10:54	ga_ls8c_ard_3-2-1_099071_2023-10-23_final
2023-10-25 09:56:58	ga_ls8c_ard_3-2-1_097067_2023-10-25_final
2023-10-25 10:03:45	ga_ls8c_ard_3-2-1_097084_2023-10-25_final
2023-10-31 09:26:41	ga_ls8c_ard_3-2-1_091084_2023-10-30_final
2023-11-10 11:38:34	ga_ls8c_ard_3-2-1_113074_2023-11-10_final
2023-11-22 10:26:07	ga_ls8c_ard_3-2-1_101078_2023-11-22_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-12-01 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-01_final
2023-12-09 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-12-08_final
2023-12-11 09:22:02	ga_ls8c_ard_3-2-1_090088_2023-12-10_final
2023-12-18 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-12-17_final
2023-12-23 11:24:31	ga_ls8c_ard_3-2-1_110085_2023-12-23_final
2023-12-27 10:54:11	ga_ls8c_ard_3-2-1_106071_2023-12-27_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-02-04 09:28:57	ga_ls8c_ard_3-2-1_091090_2024-02-03_final
2024-02-16 11:25:21	ga_ls8c_ard_3-2-1_111072_2024-02-16_final
2024-02-17 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-17_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