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

97 results

Time (local)	Label
2021-11-10 09:37:30	ga_ls9c_ard_3-2-1_094072_2021-11-10_final.stac-item
2021-12-04 09:22:06	ga_ls9c_ard_3-2-1_091072_2021-12-03_final.stac-item
2021-12-06 10:49:24	ga_ls9c_ard_3-2-1_105074_2021-12-06_final.stac-item
2021-12-08 10:35:01	ga_ls9c_ard_3-2-1_103069_2021-12-08_final.stac-item
2021-12-20 09:23:57	ga_ls9c_ard_3-2-1_091077_2021-12-19_final.stac-item
2021-12-22 09:10:48	ga_ls9c_ard_3-2-1_089075_2021-12-21_final.stac-item
2021-12-22 09:13:12	ga_ls9c_ard_3-2-1_089081_2021-12-21_final.stac-item
2021-12-22 09:14:00	ga_ls9c_ard_3-2-1_089083_2021-12-21_final.stac-item
2021-12-29 09:19:23	ga_ls9c_ard_3-2-1_090081_2021-12-28_final.stac-item
2022-01-13 10:11:21	ga_ls9c_ard_3-2-1_099072_2022-01-13_final.stac-item
2022-01-14 09:16:56	ga_ls9c_ard_3-2-1_090075_2022-01-13_final.stac-item
2022-01-17 09:46:39	ga_ls9c_ard_3-2-1_095072_2022-01-17_final.stac-item
2022-01-22 10:04:01	ga_ls9c_ard_3-2-1_098069_2022-01-22_final.stac-item
2022-01-23 09:10:23	ga_ls9c_ard_3-2-1_089074_2022-01-22_final.stac-item
2022-01-26 09:41:18	ga_ls9c_ard_3-2-1_094074_2022-01-26_final.stac-item
2022-02-06 09:23:08	ga_ls9c_ard_3-2-1_091075_2022-02-05_final.stac-item
2022-02-11 11:18:32	ga_ls9c_ard_3-2-1_110070_2022-02-11_final.stac-item
2022-02-13 09:28:53	ga_ls9c_ard_3-2-1_092074_2022-02-12_final.stac-item
2022-02-18 09:46:34	ga_ls9c_ard_3-2-1_095072_2022-02-18_final.stac-item
2022-02-18 11:25:03	ga_ls9c_ard_3-2-1_111071_2022-02-18_final.stac-item
2022-03-05 09:07:09	ga_ls9c_ard_3-2-1_088082_2022-03-04_final.stac-item
2022-03-22 09:46:23	ga_ls9c_ard_3-2-1_095072_2022-03-22_final.stac-item
2022-04-03 11:53:09	ga_ls9c_ard_3-2-1_115080_2022-04-03_final.stac-item
2022-04-11 09:22:22	ga_ls9c_ard_3-2-1_091074_2022-04-10_final.stac-item
2022-04-13 09:11:11	ga_ls9c_ard_3-2-1_089077_2022-04-12_final.stac-item
2022-04-25 11:13:29	ga_ls9c_ard_3-2-1_109074_2022-04-25_final.stac-item
2022-05-06 09:16:24	ga_ls9c_ard_3-2-1_090075_2022-05-05_final.stac-item
2022-05-09 11:25:21	ga_ls9c_ard_3-2-1_111073_2022-05-09_final.stac-item
2022-05-21 10:13:26	ga_ls9c_ard_3-2-1_099079_2022-05-21_final.stac-item
2022-05-21 11:50:19	ga_ls9c_ard_3-2-1_115074_2022-05-21_final.stac-item
2022-06-19 11:22:48	ga_ls9c_ard_3-2-1_110082_2022-06-19_final.stac-item
2022-08-06 11:20:02	ga_ls9c_ard_3-2-1_110074_2022-08-06_final.stac-item
2022-08-08 11:11:17	ga_ls9c_ard_3-2-1_108083_2022-08-08_final.stac-item
2022-08-09 11:51:21	ga_ls9c_ard_3-2-1_115075_2022-08-09_final.stac-item
2022-09-13 10:40:42	ga_ls9c_ard_3-2-1_104068_2022-09-13_final.stac-item
2022-09-15 10:33:33	ga_ls9c_ard_3-2-1_102081_2022-09-15_final.stac-item
2022-10-03 10:19:15	ga_ls9c_ard_3-2-1_100076_2022-10-03_final.stac-item
2022-10-24 10:34:42	ga_ls9c_ard_3-2-1_103068_2022-10-24_final.stac-item
2022-10-28 11:53:15	ga_ls9c_ard_3-2-1_115079_2022-10-28_final.stac-item
2022-11-14 09:21:10	ga_ls9c_ard_3-2-1_090085_2022-11-13_final.stac-item
2022-11-22 10:08:12	ga_ls9c_ard_3-2-1_098079_2022-11-22_final.stac-item
2022-12-04 10:33:41	ga_ls9c_ard_3-2-1_102081_2022-12-04_final.stac-item
2022-12-10 11:31:55	ga_ls9c_ard_3-2-1_112072_2022-12-10_final.stac-item
2022-12-23 09:23:40	ga_ls9c_ard_3-2-1_091076_2022-12-22_final.stac-item
2023-01-19 10:40:44	ga_ls9c_ard_3-2-1_104068_2023-01-19_final.stac-item
2023-01-24 09:23:14	ga_ls9c_ard_3-2-1_091075_2023-01-23_final.stac-item
2023-01-24 11:00:07	ga_ls9c_ard_3-2-1_107070_2023-01-24_final.stac-item
2023-02-01 10:09:12	ga_ls9c_ard_3-2-1_099066_2023-02-01_final.stac-item
2023-02-18 09:17:54	ga_ls9c_ard_3-2-1_090077_2023-02-17_final.stac-item
2023-03-04 09:29:18	ga_ls9c_ard_3-2-1_092075_2023-03-03_final.stac-item
2023-03-11 09:34:11	ga_ls9c_ard_3-2-1_093072_2023-03-11_final.stac-item
2023-03-13 09:26:37	ga_ls9c_ard_3-2-1_091084_2023-03-12_final.stac-item
2023-03-14 10:07:29	ga_ls9c_ard_3-2-1_098078_2023-03-14_final.stac-item
2023-03-15 09:13:28	ga_ls9c_ard_3-2-1_089082_2023-03-14_final.stac-item
2023-03-23 09:58:03	ga_ls9c_ard_3-2-1_097070_2023-03-23_final.stac-item
2023-04-04 10:25:26	ga_ls9c_ard_3-2-1_101077_2023-04-04_final.stac-item
2023-04-06 10:08:41	ga_ls9c_ard_3-2-1_099066_2023-04-06_final.stac-item
2023-04-10 11:25:36	ga_ls9c_ard_3-2-1_111073_2023-04-10_final.stac-item
2023-04-21 11:05:48	ga_ls9c_ard_3-2-1_108070_2023-04-21_final.stac-item
2023-04-22 10:15:21	ga_ls9c_ard_3-2-1_099083_2023-04-22_final.stac-item
2023-04-30 09:21:49	ga_ls9c_ard_3-2-1_091073_2023-04-29_final.stac-item
2023-05-07 11:07:36	ga_ls9c_ard_3-2-1_108075_2023-05-07_final.stac-item
2023-05-25 09:16:10	ga_ls9c_ard_3-2-1_090075_2023-05-24_final.stac-item
2023-06-10 09:21:17	ga_ls9c_ard_3-2-1_090088_2023-06-09_final.stac-item
2023-06-15 09:33:22	ga_ls9c_ard_3-2-1_093072_2023-06-15_final.stac-item
2023-06-25 10:10:02	ga_ls9c_ard_3-2-1_099071_2023-06-25_final.stac-item
2023-06-26 09:20:49	ga_ls9c_ard_3-2-1_090087_2023-06-25_final.stac-item
2023-06-26 10:52:31	ga_ls9c_ard_3-2-1_106069_2023-06-26_final.stac-item
2023-06-26 10:54:07	ga_ls9c_ard_3-2-1_106073_2023-06-26_final.stac-item
2023-07-01 09:39:54	ga_ls9c_ard_3-2-1_093088_2023-07-01_final.stac-item
2023-07-11 10:08:43	ga_ls9c_ard_3-2-1_099067_2023-07-11_final.stac-item
2023-07-12 09:21:53	ga_ls9c_ard_3-2-1_090089_2023-07-11_final.stac-item
2023-07-27 10:09:33	ga_ls9c_ard_3-2-1_099069_2023-07-27_final.stac-item
2023-08-04 11:03:30	ga_ls9c_ard_3-2-1_107080_2023-08-04_final.stac-item
2023-08-12 11:50:59	ga_ls9c_ard_3-2-1_115075_2023-08-12_final.stac-item
2023-09-10 09:41:04	ga_ls9c_ard_3-2-1_094074_2023-09-10_final.stac-item
2023-10-21 09:39:53	ga_ls9c_ard_3-2-1_093086_2023-10-21_final.stac-item
2023-11-04 11:25:01	ga_ls9c_ard_3-2-1_111071_2023-11-04_final.stac-item
2023-11-09 10:07:31	ga_ls9c_ard_3-2-1_098078_2023-11-09_final.stac-item
2023-11-14 10:26:03	ga_ls9c_ard_3-2-1_101078_2023-11-14_final.stac-item
2023-11-20 11:24:44	ga_ls9c_ard_3-2-1_111070_2023-11-20_final.stac-item
2023-12-06 11:24:20	ga_ls9c_ard_3-2-1_111069_2023-12-06_final.stac-item
2023-12-16 10:25:48	ga_ls9c_ard_3-2-1_101077_2023-12-16_final.stac-item
2023-12-24 09:39:35	ga_ls9c_ard_3-2-1_093085_2023-12-24_final.stac-item
2024-01-04 09:17:45	ga_ls9c_ard_3-2-1_090077_2024-01-03_final.stac-item
2024-01-07 09:46:38	ga_ls9c_ard_3-2-1_095072_2024-01-07_final.stac-item
2024-01-08 10:29:07	ga_ls9c_ard_3-2-1_102070_2024-01-08_final.stac-item
2024-01-22 09:06:58	ga_ls9c_ard_3-2-1_088081_2024-01-21_final.stac-item
2024-02-03 09:28:58	ga_ls9c_ard_3-2-1_092074_2024-02-02_final.stac-item
2024-02-12 11:00:27	ga_ls9c_ard_3-2-1_107071_2024-02-12_final.stac-item
2024-02-18 10:25:40	ga_ls9c_ard_3-2-1_101077_2024-02-18_final.stac-item
2024-02-28 09:23:49	ga_ls9c_ard_3-2-1_091077_2024-02-27_final.stac-item
2024-03-01 10:49:57	ga_ls9c_ard_3-2-1_105076_2024-03-01_final.stac-item
2024-03-06 09:28:51	ga_ls9c_ard_3-2-1_092074_2024-03-05_final.stac-item
2024-03-22 11:05:41	ga_ls9c_ard_3-2-1_108069_2024-03-22_final.stac-item
2024-04-12 11:24:02	ga_ls9c_ard_3-2-1_111069_2024-04-12_final.stac-item
2024-05-09 09:28:16	ga_ls9c_ard_3-2-1_092074_2024-05-08_nrt.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