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

84 results

Time (local)	Label
2021-12-27 11:09:26	ga_ls9c_ard_3-2-1_108078_2021-12-27_final.stac-item
2022-01-01 09:49:05	ga_ls9c_ard_3-2-1_095078_2022-01-01_final.stac-item
2022-01-12 11:08:59	ga_ls9c_ard_3-2-1_108077_2022-01-12_final.stac-item
2022-02-13 11:08:57	ga_ls9c_ard_3-2-1_108077_2022-02-13_final.stac-item
2022-02-18 11:28:15	ga_ls9c_ard_3-2-1_111079_2022-02-18_final.stac-item
2022-03-01 11:09:10	ga_ls9c_ard_3-2-1_108078_2022-03-01_final.stac-item
2022-03-29 11:33:00	ga_ls9c_ard_3-2-1_112076_2022-03-29_final.stac-item
2022-04-23 09:48:33	ga_ls9c_ard_3-2-1_095078_2022-04-23_final.stac-item
2022-05-02 11:21:38	ga_ls9c_ard_3-2-1_110079_2022-05-02_final.stac-item
2022-05-04 11:08:28	ga_ls9c_ard_3-2-1_108077_2022-05-04_final.stac-item
2022-05-04 11:08:52	ga_ls9c_ard_3-2-1_108078_2022-05-04_final.stac-item
2022-06-05 11:08:17	ga_ls9c_ard_3-2-1_108077_2022-06-05_final.stac-item
2022-06-05 11:08:40	ga_ls9c_ard_3-2-1_108078_2022-06-05_final.stac-item
2022-06-14 11:02:34	ga_ls9c_ard_3-2-1_107078_2022-06-14_final.stac-item
2022-06-19 11:21:36	ga_ls9c_ard_3-2-1_110079_2022-06-19_final.stac-item
2022-06-21 11:08:54	ga_ls9c_ard_3-2-1_108078_2022-06-21_final.stac-item
2022-06-26 11:27:58	ga_ls9c_ard_3-2-1_111079_2022-06-26_final.stac-item
2022-06-28 11:15:36	ga_ls9c_ard_3-2-1_109079_2022-06-28_final.stac-item
2022-07-05 11:21:46	ga_ls9c_ard_3-2-1_110079_2022-07-05_final.stac-item
2022-07-12 11:27:30	ga_ls9c_ard_3-2-1_111078_2022-07-12_final.stac-item
2022-07-12 11:27:54	ga_ls9c_ard_3-2-1_111079_2022-07-12_final.stac-item
2022-07-14 11:15:07	ga_ls9c_ard_3-2-1_109078_2022-07-14_final.stac-item
2022-07-16 11:02:47	ga_ls9c_ard_3-2-1_107078_2022-07-16_final.stac-item
2022-07-17 11:47:15	ga_ls9c_ard_3-2-1_114081_2022-07-17_final.stac-item
2022-07-28 09:48:25	ga_ls9c_ard_3-2-1_095077_2022-07-28_final.stac-item
2022-07-31 08:42:28	ga_ls9c_ard_3-2-1_084082_2022-07-30_final.stac-item
2022-08-04 09:54:17	ga_ls9c_ard_3-2-1_096076_2022-08-04_final.stac-item
2022-08-13 09:48:35	ga_ls9c_ard_3-2-1_095077_2022-08-13_final.stac-item
2022-08-22 11:21:44	ga_ls9c_ard_3-2-1_110078_2022-08-22_final.stac-item
2022-08-24 11:09:22	ga_ls9c_ard_3-2-1_108078_2022-08-24_final.stac-item
2022-09-25 11:09:06	ga_ls9c_ard_3-2-1_108077_2022-09-25_final.stac-item
2022-09-30 09:49:09	ga_ls9c_ard_3-2-1_095078_2022-09-30_final.stac-item
2022-10-03 11:58:32	ga_ls9c_ard_3-2-1_116077_2022-10-03_final.stac-item
2022-10-16 08:11:09	ga_ls9c_ard_3-2-1_079080_2022-10-15_final.stac-item
2022-10-17 10:32:54	ga_ls9c_ard_3-2-1_102079_2022-10-17_final.stac-item
2022-10-19 11:58:38	ga_ls9c_ard_3-2-1_116077_2022-10-19_final.stac-item
2023-01-04 09:49:15	ga_ls9c_ard_3-2-1_095078_2023-01-04_final.stac-item
2023-01-20 09:49:05	ga_ls9c_ard_3-2-1_095078_2023-01-20_final.stac-item
2023-01-31 11:09:12	ga_ls9c_ard_3-2-1_108077_2023-01-31_final.stac-item
2023-03-20 11:09:16	ga_ls9c_ard_3-2-1_108078_2023-03-20_final.stac-item
2023-04-10 09:48:18	ga_ls9c_ard_3-2-1_095077_2023-04-10_final.stac-item
2023-04-10 11:27:59	ga_ls9c_ard_3-2-1_111079_2023-04-10_final.stac-item
2023-04-21 11:08:59	ga_ls9c_ard_3-2-1_108078_2023-04-21_final.stac-item
2023-05-03 11:33:56	ga_ls9c_ard_3-2-1_112079_2023-05-03_final.stac-item
2023-05-07 11:08:47	ga_ls9c_ard_3-2-1_108078_2023-05-07_final.stac-item
2023-05-23 11:08:14	ga_ls9c_ard_3-2-1_108077_2023-05-23_final.stac-item
2023-05-23 11:08:38	ga_ls9c_ard_3-2-1_108078_2023-05-23_final.stac-item
2023-05-28 09:47:52	ga_ls9c_ard_3-2-1_095077_2023-05-28_final.stac-item
2023-06-20 11:33:35	ga_ls9c_ard_3-2-1_112079_2023-06-20_final.stac-item
2023-06-24 11:08:28	ga_ls9c_ard_3-2-1_108078_2023-06-24_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 10:58:22	ga_ls9c_ard_3-2-1_106083_2023-07-12_final.stac-item
2023-07-15 11:27:41	ga_ls9c_ard_3-2-1_111079_2023-07-15_final.stac-item
2023-07-17 11:15:20	ga_ls9c_ard_3-2-1_109079_2023-07-17_final.stac-item
2023-07-22 11:33:51	ga_ls9c_ard_3-2-1_112079_2023-07-22_final.stac-item
2023-07-24 11:21:29	ga_ls9c_ard_3-2-1_110079_2023-07-24_final.stac-item
2023-07-26 11:08:20	ga_ls9c_ard_3-2-1_108077_2023-07-26_final.stac-item
2023-07-31 09:48:05	ga_ls9c_ard_3-2-1_095077_2023-07-31_final.stac-item
2023-07-31 11:27:46	ga_ls9c_ard_3-2-1_111079_2023-07-31_final.stac-item
2023-08-18 11:15:29	ga_ls9c_ard_3-2-1_109079_2023-08-18_final.stac-item
2023-08-27 11:09:03	ga_ls9c_ard_3-2-1_108078_2023-08-27_final.stac-item
2023-09-01 09:48:21	ga_ls9c_ard_3-2-1_095077_2023-09-01_final.stac-item
2023-09-12 11:08:48	ga_ls9c_ard_3-2-1_108077_2023-09-12_final.stac-item
2023-09-17 09:48:53	ga_ls9c_ard_3-2-1_095078_2023-09-17_final.stac-item
2023-10-03 09:48:53	ga_ls9c_ard_3-2-1_095078_2023-10-03_final.stac-item
2023-10-03 09:48:53	ga_ls9c_ard_3-2-1_095078_2023-10-03_interim.stac-item
2023-10-14 11:09:22	ga_ls9c_ard_3-2-1_108078_2023-10-14_final.stac-item
2023-10-30 11:08:55	ga_ls9c_ard_3-2-1_108077_2023-10-30_final.stac-item
2023-11-04 09:48:56	ga_ls9c_ard_3-2-1_095078_2023-11-04_final.stac-item
2023-11-30 10:24:35	ga_ls9c_ard_3-2-1_101074_2023-11-30_final.stac-item
2023-12-10 12:37:42	ga_ls9c_ard_3-2-1_123067_2023-12-10_final.stac-item
2024-01-18 11:09:01	ga_ls9c_ard_3-2-1_108077_2024-01-18_final.stac-item
2024-01-20 10:58:38	ga_ls9c_ard_3-2-1_106082_2024-01-20_final.stac-item
2024-04-03 09:54:35	ga_ls9c_ard_3-2-1_096077_2024-04-03_final.stac-item
2024-04-07 11:08:44	ga_ls9c_ard_3-2-1_108077_2024-04-07_final.stac-item
2024-04-07 11:09:08	ga_ls9c_ard_3-2-1_108078_2024-04-07_final.stac-item
2024-04-07 11:09:08	ga_ls9c_ard_3-2-1_108078_2024-04-07_interim.stac-item
2024-04-12 09:48:44	ga_ls9c_ard_3-2-1_095078_2024-04-12_final.stac-item
2024-04-15 11:58:04	ga_ls9c_ard_3-2-1_116077_2024-04-15_final.stac-item
2024-04-23 11:08:23	ga_ls9c_ard_3-2-1_108077_2024-04-23_final.stac-item
2024-04-28 11:26:54	ga_ls9c_ard_3-2-1_111077_2024-04-28_final.stac-item
2024-04-28 11:27:18	ga_ls9c_ard_3-2-1_111078_2024-04-28_final.stac-item
2024-05-05 11:33:52	ga_ls9c_ard_3-2-1_112079_2024-05-05_final.stac-item
2024-05-09 11:08:45	ga_ls9c_ard_3-2-1_108078_2024-05-09_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years