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

90 results

Time (local)	Label
2021-11-02 10:54:27	ga_ls9c_ard_3-2-1_106077_2021-11-02_final.stac-item
2021-11-05 09:34:38	ga_ls9c_ard_3-2-1_093071_2021-11-05_final.stac-item
2021-11-24 10:41:59	ga_ls9c_ard_3-2-1_104068_2021-11-24_final.stac-item
2021-12-27 09:28:09	ga_ls9c_ard_3-2-1_092072_2021-12-26_final.stac-item
2022-01-09 10:39:41	ga_ls9c_ard_3-2-1_103081_2022-01-09_final.stac-item
2022-01-13 10:09:22	ga_ls9c_ard_3-2-1_099067_2022-01-13_final.stac-item
2022-01-15 11:38:41	ga_ls9c_ard_3-2-1_113074_2022-01-15_final.stac-item
2022-01-23 09:13:59	ga_ls9c_ard_3-2-1_089083_2022-01-22_final.stac-item
2022-02-09 11:32:31	ga_ls9c_ard_3-2-1_112074_2022-02-09_final.stac-item
2022-02-14 11:51:25	ga_ls9c_ard_3-2-1_115075_2022-02-14_final.stac-item
2022-02-17 09:06:31	ga_ls9c_ard_3-2-1_088080_2022-02-16_final.stac-item
2022-02-21 10:17:26	ga_ls9c_ard_3-2-1_100072_2022-02-21_final.stac-item
2022-02-22 09:26:12	ga_ls9c_ard_3-2-1_091083_2022-02-21_final.stac-item
2022-03-20 09:57:10	ga_ls9c_ard_3-2-1_097068_2022-03-20_final.stac-item
2022-03-29 11:32:13	ga_ls9c_ard_3-2-1_112074_2022-03-29_final.stac-item
2022-04-04 10:55:31	ga_ls9c_ard_3-2-1_106075_2022-04-04_final.stac-item
2022-04-09 11:17:37	ga_ls9c_ard_3-2-1_109084_2022-04-09_final.stac-item
2022-04-12 11:45:42	ga_ls9c_ard_3-2-1_114077_2022-04-12_final.stac-item
2022-04-16 11:18:56	ga_ls9c_ard_3-2-1_110072_2022-04-16_final.stac-item
2022-04-27 11:03:31	ga_ls9c_ard_3-2-1_107080_2022-04-27_final.stac-item
2022-05-25 09:45:31	ga_ls9c_ard_3-2-1_095071_2022-05-25_final.stac-item
2022-05-26 10:28:22	ga_ls9c_ard_3-2-1_102070_2022-05-26_final.stac-item
2022-05-29 09:27:11	ga_ls9c_ard_3-2-1_091087_2022-05-28_final.stac-item
2022-06-26 09:47:05	ga_ls9c_ard_3-2-1_095074_2022-06-26_final.stac-item
2022-06-28 11:14:24	ga_ls9c_ard_3-2-1_109076_2022-06-28_final.stac-item
2022-07-18 10:49:15	ga_ls9c_ard_3-2-1_105075_2022-07-18_final.stac-item
2022-07-30 09:35:17	ga_ls9c_ard_3-2-1_093075_2022-07-30_final.stac-item
2022-08-18 10:07:33	ga_ls9c_ard_3-2-1_098078_2022-08-18_final.stac-item
2022-08-23 10:27:42	ga_ls9c_ard_3-2-1_101082_2022-08-23_final.stac-item
2022-08-26 09:22:07	ga_ls9c_ard_3-2-1_090088_2022-08-25_final.stac-item
2022-09-20 09:16:26	ga_ls9c_ard_3-2-1_089089_2022-09-19_final.stac-item
2022-09-23 09:44:10	ga_ls9c_ard_3-2-1_094081_2022-09-23_final.stac-item
2022-10-05 10:04:30	ga_ls9c_ard_3-2-1_098070_2022-10-05_final.stac-item
2022-10-09 09:40:36	ga_ls9c_ard_3-2-1_094072_2022-10-09_final.stac-item
2022-11-03 09:34:51	ga_ls9c_ard_3-2-1_093073_2022-11-03_final.stac-item
2022-11-21 09:27:20	ga_ls9c_ard_3-2-1_091085_2022-11-20_final.stac-item
2022-12-05 11:14:33	ga_ls9c_ard_3-2-1_109075_2022-12-05_final.stac-item
2022-12-07 11:02:12	ga_ls9c_ard_3-2-1_107075_2022-12-07_final.stac-item
2022-12-10 11:32:43	ga_ls9c_ard_3-2-1_112074_2022-12-10_final.stac-item
2022-12-15 11:51:39	ga_ls9c_ard_3-2-1_115075_2022-12-15_final.stac-item
2022-12-21 09:36:03	ga_ls9c_ard_3-2-1_093076_2022-12-21_final.stac-item
2022-12-27 10:35:28	ga_ls9c_ard_3-2-1_103070_2022-12-27_final.stac-item
2023-01-01 09:21:08	ga_ls9c_ard_3-2-1_090085_2022-12-31_final.stac-item
2023-01-04 09:46:52	ga_ls9c_ard_3-2-1_095072_2023-01-04_final.stac-item
2023-01-11 11:36:41	ga_ls9c_ard_3-2-1_112084_2023-01-11_final.stac-item
2023-01-23 11:58:31	ga_ls9c_ard_3-2-1_116077_2023-01-23_final.stac-item
2023-02-15 10:28:20	ga_ls9c_ard_3-2-1_101083_2023-02-15_final.stac-item
2023-04-29 10:16:40	ga_ls9c_ard_3-2-1_100071_2023-04-29_final.stac-item
2023-05-03 11:31:57	ga_ls9c_ard_3-2-1_112074_2023-05-03_final.stac-item
2023-05-04 10:35:30	ga_ls9c_ard_3-2-1_103072_2023-05-04_final.stac-item
2023-05-12 09:46:26	ga_ls9c_ard_3-2-1_095073_2023-05-12_final.stac-item
2023-05-29 10:27:33	ga_ls9c_ard_3-2-1_102068_2023-05-29_final.stac-item
2023-06-04 11:31:43	ga_ls9c_ard_3-2-1_112074_2023-06-04_final.stac-item
2023-06-07 10:27:18	ga_ls9c_ard_3-2-1_101083_2023-06-07_final.stac-item
2023-06-09 10:08:32	ga_ls9c_ard_3-2-1_099067_2023-06-09_final.stac-item
2023-06-18 10:03:52	ga_ls9c_ard_3-2-1_098071_2023-06-18_final.stac-item
2023-06-24 11:10:51	ga_ls9c_ard_3-2-1_108084_2023-06-24_final.stac-item
2023-07-22 09:57:22	ga_ls9c_ard_3-2-1_096085_2023-07-22_final.stac-item
2023-07-29 11:42:05	ga_ls9c_ard_3-2-1_113084_2023-07-29_final.stac-item
2023-08-06 09:14:40	ga_ls9c_ard_3-2-1_089086_2023-08-05_final.stac-item
2023-08-11 11:07:43	ga_ls9c_ard_3-2-1_108075_2023-08-11_final.stac-item
2023-08-18 11:13:53	ga_ls9c_ard_3-2-1_109075_2023-08-18_final.stac-item
2023-08-22 10:49:38	ga_ls9c_ard_3-2-1_105076_2023-08-22_final.stac-item
2023-09-02 10:30:01	ga_ls9c_ard_3-2-1_102073_2023-09-02_final.stac-item
2023-09-07 09:13:19	ga_ls9c_ard_3-2-1_089082_2023-09-06_final.stac-item
2023-09-11 10:25:32	ga_ls9c_ard_3-2-1_101077_2023-09-11_final.stac-item
2023-09-20 10:16:59	ga_ls9c_ard_3-2-1_100071_2023-09-20_final.stac-item
2023-09-30 09:21:31	ga_ls9c_ard_3-2-1_090087_2023-09-29_final.stac-item
2023-10-13 10:27:41	ga_ls9c_ard_3-2-1_101082_2023-10-13_final.stac-item
2023-10-25 09:13:33	ga_ls9c_ard_3-2-1_089082_2023-10-24_final.stac-item
2023-10-26 11:31:42	ga_ls9c_ard_3-2-1_112072_2023-10-26_final.stac-item
2023-11-08 11:05:08	ga_ls9c_ard_3-2-1_107083_2023-11-08_final.stac-item
2023-11-10 10:49:11	ga_ls9c_ard_3-2-1_105074_2023-11-10_final.stac-item
2023-11-20 11:25:08	ga_ls9c_ard_3-2-1_111071_2023-11-20_final.stac-item
2023-12-12 10:47:17	ga_ls9c_ard_3-2-1_105069_2023-12-12_final.stac-item
2024-01-02 09:29:44	ga_ls9c_ard_3-2-1_092076_2024-01-01_final.stac-item
2024-01-16 11:19:47	ga_ls9c_ard_3-2-1_110073_2024-01-16_final.stac-item
2024-01-18 09:28:56	ga_ls9c_ard_3-2-1_092074_2024-01-17_final.stac-item
2024-01-25 11:14:20	ga_ls9c_ard_3-2-1_109075_2024-01-25_final.stac-item
2024-02-02 10:26:11	ga_ls9c_ard_3-2-1_101078_2024-02-02_final.stac-item
2024-02-03 09:34:33	ga_ls9c_ard_3-2-1_092088_2024-02-03_final.stac-item
2024-02-03 11:06:15	ga_ls9c_ard_3-2-1_108070_2024-02-03_final.stac-item
2024-02-12 11:05:15	ga_ls9c_ard_3-2-1_107083_2024-02-12_final.stac-item
2024-02-25 10:28:34	ga_ls9c_ard_3-2-1_102069_2024-02-25_final.stac-item
2024-03-10 09:06:55	ga_ls9c_ard_3-2-1_088081_2024-03-09_final.stac-item
2024-03-15 10:59:56	ga_ls9c_ard_3-2-1_107070_2024-03-15_final.stac-item
2024-03-20 11:19:15	ga_ls9c_ard_3-2-1_110072_2024-03-20_final.stac-item
2024-03-27 11:24:32	ga_ls9c_ard_3-2-1_111070_2024-03-27_final.stac-item
2024-04-07 09:29:51	ga_ls9c_ard_3-2-1_092077_2024-04-06_final.stac-item
2024-04-30 09:40:03	ga_ls9c_ard_3-2-1_093088_2024-04-30_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