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

95 results

Time (local)	Label
2021-12-05 10:04:57	ga_ls9c_ard_3-2-1_098071_2021-12-05_final.stac-item
2021-12-09 09:41:23	ga_ls9c_ard_3-2-1_094074_2021-12-09_final.stac-item
2021-12-14 09:58:16	ga_ls9c_ard_3-2-1_097070_2021-12-14_final.stac-item
2021-12-20 09:27:57	ga_ls9c_ard_3-2-1_091087_2021-12-19_final.stac-item
2022-01-30 09:20:10	ga_ls9c_ard_3-2-1_090083_2022-01-29_final.stac-item
2022-02-15 10:53:23	ga_ls9c_ard_3-2-1_106069_2022-02-15_final.stac-item
2022-02-24 10:52:42	ga_ls9c_ard_3-2-1_105083_2022-02-24_final.stac-item
2022-02-27 09:40:41	ga_ls9c_ard_3-2-1_094073_2022-02-27_final.stac-item
2022-03-03 09:17:07	ga_ls9c_ard_3-2-1_090076_2022-03-02_final.stac-item
2022-03-12 09:12:56	ga_ls9c_ard_3-2-1_089081_2022-03-11_final.stac-item
2022-04-03 10:13:04	ga_ls9c_ard_3-2-1_099077_2022-04-03_final.stac-item
2022-05-05 10:13:14	ga_ls9c_ard_3-2-1_099078_2022-05-05_final.stac-item
2022-05-25 09:45:55	ga_ls9c_ard_3-2-1_095072_2022-05-25_final.stac-item
2022-06-08 09:58:42	ga_ls9c_ard_3-2-1_097073_2022-06-08_final.stac-item
2022-06-09 09:06:16	ga_ls9c_ard_3-2-1_088081_2022-06-08_final.stac-item
2022-06-16 09:11:45	ga_ls9c_ard_3-2-1_089079_2022-06-15_final.stac-item
2022-07-17 10:03:59	ga_ls9c_ard_3-2-1_098070_2022-07-17_final.stac-item
2022-08-02 10:07:25	ga_ls9c_ard_3-2-1_098078_2022-08-02_final.stac-item
2022-08-04 09:52:17	ga_ls9c_ard_3-2-1_096071_2022-08-04_final.stac-item
2022-08-04 11:35:10	ga_ls9c_ard_3-2-1_112081_2022-08-04_final.stac-item
2022-08-15 09:39:02	ga_ls9c_ard_3-2-1_093084_2022-08-15_final.stac-item
2022-08-24 11:11:46	ga_ls9c_ard_3-2-1_108084_2022-08-24_final.stac-item
2022-09-02 09:22:19	ga_ls9c_ard_3-2-1_091073_2022-09-01_final.stac-item
2022-09-09 09:34:52	ga_ls9c_ard_3-2-1_092089_2022-09-09_final.stac-item
2022-09-19 10:04:04	ga_ls9c_ard_3-2-1_098069_2022-09-19_final.stac-item
2022-09-19 10:08:27	ga_ls9c_ard_3-2-1_098080_2022-09-19_final.stac-item
2022-09-21 11:32:12	ga_ls9c_ard_3-2-1_112073_2022-09-21_final.stac-item
2022-09-25 09:29:49	ga_ls9c_ard_3-2-1_092076_2022-09-24_final.stac-item
2022-09-28 10:02:19	ga_ls9c_ard_3-2-1_097080_2022-09-28_final.stac-item
2022-10-04 09:28:01	ga_ls9c_ard_3-2-1_091087_2022-10-03_final.stac-item
2022-10-04 09:29:13	ga_ls9c_ard_3-2-1_091090_2022-10-03_final.stac-item
2022-10-05 10:04:06	ga_ls9c_ard_3-2-1_098069_2022-10-05_final.stac-item
2022-10-12 10:11:32	ga_ls9c_ard_3-2-1_099072_2022-10-12_final.stac-item
2022-10-13 10:55:36	ga_ls9c_ard_3-2-1_106074_2022-10-13_final.stac-item
2022-10-29 09:17:56	ga_ls9c_ard_3-2-1_090077_2022-10-28_final.stac-item
2022-10-29 09:22:44	ga_ls9c_ard_3-2-1_090089_2022-10-28_final.stac-item
2022-10-30 09:58:00	ga_ls9c_ard_3-2-1_097069_2022-10-30_final.stac-item
2022-10-31 10:42:51	ga_ls9c_ard_3-2-1_104073_2022-10-31_final.stac-item
2022-11-07 09:12:09	ga_ls9c_ard_3-2-1_089078_2022-11-06_nrt.stac-item
2022-11-13 11:52:52	ga_ls9c_ard_3-2-1_115078_2022-11-13_final.stac-item
2022-11-21 09:22:33	ga_ls9c_ard_3-2-1_091073_2022-11-20_final.stac-item
2022-11-28 11:05:59	ga_ls9c_ard_3-2-1_108069_2022-11-28_final.stac-item
2022-12-21 09:34:51	ga_ls9c_ard_3-2-1_093073_2022-12-21_final.stac-item
2022-12-21 09:40:27	ga_ls9c_ard_3-2-1_093087_2022-12-21_final.stac-item
2022-12-25 09:14:07	ga_ls9c_ard_3-2-1_089083_2022-12-24_final.stac-item
2023-01-13 11:23:31	ga_ls9c_ard_3-2-1_110082_2023-01-13_final.stac-item
2023-01-16 11:52:46	ga_ls9c_ard_3-2-1_115078_2023-01-16_final.stac-item
2023-01-16 11:53:34	ga_ls9c_ard_3-2-1_115080_2023-01-16_final.stac-item
2023-01-20 11:25:10	ga_ls9c_ard_3-2-1_111071_2023-01-20_final.stac-item
2023-01-22 11:12:26	ga_ls9c_ard_3-2-1_109070_2023-01-22_final.stac-item
2023-02-27 09:14:47	ga_ls9c_ard_3-2-1_089085_2023-02-26_final.stac-item
2023-03-02 09:40:29	ga_ls9c_ard_3-2-1_094072_2023-03-02_final.stac-item
2023-03-14 10:08:17	ga_ls9c_ard_3-2-1_098080_2023-03-14_final.stac-item
2023-03-21 11:52:31	ga_ls9c_ard_3-2-1_115078_2023-03-21_final.stac-item
2023-03-29 09:21:39	ga_ls9c_ard_3-2-1_091072_2023-03-28_final.stac-item
2023-04-16 09:11:34	ga_ls9c_ard_3-2-1_089078_2023-04-15_final.stac-item
2023-04-23 09:22:31	ga_ls9c_ard_3-2-1_090090_2023-04-22_final.stac-item
2023-05-01 10:07:27	ga_ls9c_ard_3-2-1_098079_2023-05-01_final.stac-item
2023-06-02 10:08:00	ga_ls9c_ard_3-2-1_098081_2023-06-02_final.stac-item
2023-06-09 10:14:55	ga_ls9c_ard_3-2-1_099083_2023-06-09_final.stac-item
2023-06-15 11:13:27	ga_ls9c_ard_3-2-1_109075_2023-06-15_final.stac-item
2023-07-11 10:09:55	ga_ls9c_ard_3-2-1_099070_2023-07-11_final.stac-item
2023-07-13 09:57:34	ga_ls9c_ard_3-2-1_097070_2023-07-13_final.stac-item
2023-07-26 11:06:21	ga_ls9c_ard_3-2-1_108072_2023-07-26_final.stac-item
2023-07-27 10:09:57	ga_ls9c_ard_3-2-1_099070_2023-07-27_final.stac-item
2023-08-11 11:07:43	ga_ls9c_ard_3-2-1_108075_2023-08-11_final.stac-item
2023-08-14 09:56:33	ga_ls9c_ard_3-2-1_097067_2023-08-14_final.stac-item
2023-08-16 09:49:22	ga_ls9c_ard_3-2-1_095080_2023-08-16_final.stac-item
2023-08-30 09:56:42	ga_ls9c_ard_3-2-1_097067_2023-08-30_final.stac-item
2023-08-30 11:42:22	ga_ls9c_ard_3-2-1_113084_2023-08-30_final.stac-item
2023-09-13 10:09:36	ga_ls9c_ard_3-2-1_099068_2023-09-13_final.stac-item
2023-09-19 09:39:43	ga_ls9c_ard_3-2-1_093086_2023-09-19_final.stac-item
2023-09-30 09:17:32	ga_ls9c_ard_3-2-1_090077_2023-09-29_final.stac-item
2023-10-09 10:52:44	ga_ls9c_ard_3-2-1_105083_2023-10-09_final.stac-item
2023-10-24 10:03:59	ga_ls9c_ard_3-2-1_098069_2023-10-24_final.stac-item
2023-10-24 11:47:39	ga_ls9c_ard_3-2-1_114081_2023-10-24_final.stac-item
2023-11-22 09:34:43	ga_ls9c_ard_3-2-1_093073_2023-11-22_final.stac-item
2023-12-02 11:51:30	ga_ls9c_ard_3-2-1_115075_2023-12-02_final.stac-item
2023-12-24 09:35:35	ga_ls9c_ard_3-2-1_093075_2023-12-24_final.stac-item
2024-01-08 10:30:18	ga_ls9c_ard_3-2-1_102073_2024-01-08_final.stac-item
2024-01-14 11:36:32	ga_ls9c_ard_3-2-1_112084_2024-01-14_final.stac-item
2024-01-19 11:52:16	ga_ls9c_ard_3-2-1_115077_2024-01-19_final.stac-item
2024-01-26 11:57:37	ga_ls9c_ard_3-2-1_116075_2024-01-26_final.stac-item
2024-01-26 11:58:01	ga_ls9c_ard_3-2-1_116076_2024-01-26_final.stac-item
2024-01-28 10:06:24	ga_ls9c_ard_3-2-1_098075_2024-01-28_final.stac-item
2024-01-29 09:13:35	ga_ls9c_ard_3-2-1_089082_2024-01-28_final.stac-item
2024-02-05 09:23:00	ga_ls9c_ard_3-2-1_090090_2024-02-04_final.stac-item
2024-03-06 09:34:26	ga_ls9c_ard_3-2-1_092088_2024-03-06_final.stac-item
2024-03-08 09:16:53	ga_ls9c_ard_3-2-1_090075_2024-03-07_final.stac-item
2024-03-23 10:09:39	ga_ls9c_ard_3-2-1_099068_2024-03-23_final.stac-item
2024-03-28 10:33:17	ga_ls9c_ard_3-2-1_102081_2024-03-28_final.stac-item
2024-04-09 09:18:16	ga_ls9c_ard_3-2-1_090079_2024-04-08_final.stac-item
2024-04-12 11:26:01	ga_ls9c_ard_3-2-1_111074_2024-04-12_final.stac-item
2024-04-18 09:16:20	ga_ls9c_ard_3-2-1_089090_2024-04-17_final.stac-item
2024-04-24 10:15:08	ga_ls9c_ard_3-2-1_099083_2024-04-24_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