Search ga_ls9c_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
2021-11-05 09:37:49	ga_ls9c_ard_3-2-1_093079_2021-11-05_final.stac-item
2021-11-07 09:19:04	ga_ls9c_ard_3-2-1_090079_2021-11-06_final.stac-item
2021-11-07 10:57:44	ga_ls9c_ard_3-2-1_106079_2021-11-07_final.stac-item
2021-11-10 09:40:17	ga_ls9c_ard_3-2-1_094079_2021-11-10_final.stac-item
2021-11-11 10:19:51	ga_ls9c_ard_3-2-1_100078_2021-11-11_final.stac-item
2021-11-12 09:21:32	ga_ls9c_ard_3-2-1_091079_2021-11-11_final.stac-item
2021-11-12 11:00:12	ga_ls9c_ard_3-2-1_106079_2021-11-12_final.stac-item
2021-11-16 10:22:19	ga_ls9c_ard_3-2-1_100078_2021-11-16_final.stac-item
2021-11-17 09:24:04	ga_ls9c_ard_3-2-1_091079_2021-11-16_final.stac-item
2021-11-22 09:26:27	ga_ls9c_ard_3-2-1_091079_2021-11-21_final.stac-item
2021-12-12 10:13:50	ga_ls9c_ard_3-2-1_099078_2021-12-12_final.stac-item
2021-12-19 10:19:58	ga_ls9c_ard_3-2-1_100078_2021-12-19_final.stac-item
2021-12-22 09:12:24	ga_ls9c_ard_3-2-1_089079_2021-12-21_final.stac-item
2022-01-04 10:19:58	ga_ls9c_ard_3-2-1_100078_2022-01-04_final.stac-item
2022-01-11 10:26:07	ga_ls9c_ard_3-2-1_101078_2022-01-11_final.stac-item
2022-01-20 10:19:57	ga_ls9c_ard_3-2-1_100078_2022-01-20_final.stac-item
2022-02-12 10:26:06	ga_ls9c_ard_3-2-1_101078_2022-02-12_final.stac-item
2022-02-28 10:25:55	ga_ls9c_ard_3-2-1_101078_2022-02-28_final.stac-item
2022-03-09 10:19:44	ga_ls9c_ard_3-2-1_100078_2022-03-09_final.stac-item
2022-03-25 10:19:39	ga_ls9c_ard_3-2-1_100078_2022-03-25_final.stac-item
2022-04-10 10:19:36	ga_ls9c_ard_3-2-1_100078_2022-04-10_final.stac-item
2022-05-12 10:19:20	ga_ls9c_ard_3-2-1_100078_2022-05-12_final.stac-item
2022-05-21 10:13:02	ga_ls9c_ard_3-2-1_099078_2022-05-21_final.stac-item
2022-05-28 10:19:12	ga_ls9c_ard_3-2-1_100078_2022-05-28_final.stac-item
2022-05-31 09:11:38	ga_ls9c_ard_3-2-1_089079_2022-05-30_final.stac-item
2022-06-07 09:17:50	ga_ls9c_ard_3-2-1_090079_2022-06-06_final.stac-item
2022-06-12 09:36:25	ga_ls9c_ard_3-2-1_093079_2022-06-12_final.stac-item
2022-06-20 10:25:36	ga_ls9c_ard_3-2-1_101078_2022-06-20_final.stac-item
2022-06-21 09:30:25	ga_ls9c_ard_3-2-1_092079_2022-06-21_final.stac-item
2022-06-22 10:13:19	ga_ls9c_ard_3-2-1_099078_2022-06-22_final.stac-item
2022-06-23 09:18:08	ga_ls9c_ard_3-2-1_090079_2022-06-22_final.stac-item
2022-06-28 09:36:43	ga_ls9c_ard_3-2-1_093079_2022-06-28_final.stac-item
2022-07-02 09:11:59	ga_ls9c_ard_3-2-1_089079_2022-07-01_final.stac-item
2022-07-05 11:21:46	ga_ls9c_ard_3-2-1_110079_2022-07-05_final.stac-item
2022-07-09 09:18:08	ga_ls9c_ard_3-2-1_090079_2022-07-08_final.stac-item
2022-07-09 10:57:01	ga_ls9c_ard_3-2-1_106079_2022-07-09_final.stac-item
2022-07-18 09:11:58	ga_ls9c_ard_3-2-1_089079_2022-07-17_final.stac-item
2022-07-25 09:18:16	ga_ls9c_ard_3-2-1_090079_2022-07-24_final.stac-item
2022-08-03 09:12:12	ga_ls9c_ard_3-2-1_089079_2022-08-02_final.stac-item
2022-08-31 09:37:04	ga_ls9c_ard_3-2-1_093079_2022-08-31_final.stac-item
2022-09-04 09:12:21	ga_ls9c_ard_3-2-1_089079_2022-09-03_final.stac-item
2022-09-11 09:18:32	ga_ls9c_ard_3-2-1_090079_2022-09-10_final.stac-item
2022-10-13 09:18:43	ga_ls9c_ard_3-2-1_090079_2022-10-12_final.stac-item
2022-10-16 11:28:31	ga_ls9c_ard_3-2-1_111079_2022-10-16_final.stac-item
2023-02-15 10:26:20	ga_ls9c_ard_3-2-1_101078_2023-02-15_final.stac-item
2023-02-17 10:13:57	ga_ls9c_ard_3-2-1_099078_2023-02-17_final.stac-item
2023-02-24 10:19:58	ga_ls9c_ard_3-2-1_100078_2023-02-24_final.stac-item
2023-03-03 10:26:07	ga_ls9c_ard_3-2-1_101078_2023-03-03_final.stac-item
2023-03-26 10:32:05	ga_ls9c_ard_3-2-1_102078_2023-03-26_final.stac-item
2023-03-28 10:19:41	ga_ls9c_ard_3-2-1_100078_2023-03-28_final.stac-item
2023-04-06 10:13:28	ga_ls9c_ard_3-2-1_099078_2023-04-06_final.stac-item
2023-06-19 09:11:26	ga_ls9c_ard_3-2-1_089079_2023-06-18_final.stac-item
2023-06-26 09:17:37	ga_ls9c_ard_3-2-1_090079_2023-06-25_final.stac-item
2023-06-26 10:56:30	ga_ls9c_ard_3-2-1_106079_2023-06-26_final.stac-item
2023-06-29 11:27:30	ga_ls9c_ard_3-2-1_111079_2023-06-29_final.stac-item
2023-07-05 09:11:38	ga_ls9c_ard_3-2-1_089079_2023-07-04_final.stac-item
2023-07-08 11:21:28	ga_ls9c_ard_3-2-1_110079_2023-07-08_final.stac-item
2023-07-12 09:17:53	ga_ls9c_ard_3-2-1_090079_2023-07-11_final.stac-item
2023-07-15 11:27:41	ga_ls9c_ard_3-2-1_111079_2023-07-15_final.stac-item
2023-07-26 09:30:15	ga_ls9c_ard_3-2-1_092079_2023-07-26_final.stac-item
2023-07-31 11:27:46	ga_ls9c_ard_3-2-1_111079_2023-07-31_final.stac-item
2023-08-10 10:25:39	ga_ls9c_ard_3-2-1_101078_2023-08-10_final.stac-item
2023-08-12 10:13:17	ga_ls9c_ard_3-2-1_099078_2023-08-12_final.stac-item
2023-08-13 09:18:04	ga_ls9c_ard_3-2-1_090079_2023-08-12_final.stac-item
2023-08-16 11:27:51	ga_ls9c_ard_3-2-1_111079_2023-08-16_final.stac-item
2023-08-17 10:31:49	ga_ls9c_ard_3-2-1_102078_2023-08-17_final.stac-item
2023-08-19 10:19:29	ga_ls9c_ard_3-2-1_100078_2023-08-19_final.stac-item
2023-08-22 09:11:57	ga_ls9c_ard_3-2-1_089079_2023-08-21_final.stac-item
2023-08-26 10:25:46	ga_ls9c_ard_3-2-1_101078_2023-08-26_final.stac-item
2023-08-28 10:13:26	ga_ls9c_ard_3-2-1_099078_2023-08-28_final.stac-item
2023-09-04 10:19:40	ga_ls9c_ard_3-2-1_100078_2023-09-04_final.stac-item
2023-09-07 09:12:08	ga_ls9c_ard_3-2-1_089079_2023-09-06_final.stac-item
2023-09-13 10:13:35	ga_ls9c_ard_3-2-1_099078_2023-09-13_final.stac-item
2023-09-20 10:19:46	ga_ls9c_ard_3-2-1_100078_2023-09-20_final.stac-item
2023-09-29 10:13:32	ga_ls9c_ard_3-2-1_099078_2023-09-29_final.stac-item
2023-10-06 10:19:49	ga_ls9c_ard_3-2-1_100078_2023-10-06_final.stac-item
2023-10-15 10:13:45	ga_ls9c_ard_3-2-1_099078_2023-10-15_final.stac-item
2023-10-22 10:19:57	ga_ls9c_ard_3-2-1_100078_2023-10-22_final.stac-item
2023-10-31 10:13:41	ga_ls9c_ard_3-2-1_099078_2023-10-31_final.stac-item
2023-11-07 10:19:52	ga_ls9c_ard_3-2-1_100078_2023-11-07_final.stac-item
2023-11-16 10:13:41	ga_ls9c_ard_3-2-1_099078_2023-11-16_final.stac-item
2023-11-23 10:19:59	ga_ls9c_ard_3-2-1_100078_2023-11-23_final.stac-item
2023-12-02 10:13:49	ga_ls9c_ard_3-2-1_099078_2023-12-02_final.stac-item
2023-12-09 10:19:56	ga_ls9c_ard_3-2-1_100078_2023-12-09_final.stac-item
2023-12-18 10:13:51	ga_ls9c_ard_3-2-1_099078_2023-12-18_final.stac-item
2023-12-25 10:20:03	ga_ls9c_ard_3-2-1_100078_2023-12-25_final.stac-item
2024-01-03 10:13:47	ga_ls9c_ard_3-2-1_099078_2024-01-03_final.stac-item
2024-01-10 10:19:58	ga_ls9c_ard_3-2-1_100078_2024-01-10_final.stac-item
2024-01-19 10:13:47	ga_ls9c_ard_3-2-1_099078_2024-01-19_final.stac-item
2024-01-26 10:19:56	ga_ls9c_ard_3-2-1_100078_2024-01-26_final.stac-item
2024-02-04 10:13:50	ga_ls9c_ard_3-2-1_099078_2024-02-04_final.stac-item
2024-02-11 10:20:00	ga_ls9c_ard_3-2-1_100078_2024-02-11_final.stac-item
2024-02-20 10:13:40	ga_ls9c_ard_3-2-1_099078_2024-02-20_final.stac-item
2024-02-27 10:19:49	ga_ls9c_ard_3-2-1_100078_2024-02-27_final.stac-item
2024-03-14 10:19:51	ga_ls9c_ard_3-2-1_100078_2024-03-14_final.stac-item
2024-03-23 10:13:38	ga_ls9c_ard_3-2-1_099078_2024-03-23_final.stac-item
2024-03-30 10:19:42	ga_ls9c_ard_3-2-1_100078_2024-03-30_final.stac-item
2024-04-08 10:13:30	ga_ls9c_ard_3-2-1_099078_2024-04-08_final.stac-item
2024-05-01 10:19:18	ga_ls9c_ard_3-2-1_100078_2024-05-01_final.stac-item
2024-05-10 10:13:07	ga_ls9c_ard_3-2-1_099078_2024-05-10_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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