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

99 results

Time (local)	Label
2021-11-07 10:59:20	ga_ls9c_ard_3-2-1_106083_2021-11-07_final.stac-item
2021-12-04 09:26:53	ga_ls9c_ard_3-2-1_091084_2021-12-03_final.stac-item
2021-12-09 09:40:59	ga_ls9c_ard_3-2-1_094073_2021-12-09_final.stac-item
2021-12-12 11:53:31	ga_ls9c_ard_3-2-1_115080_2021-12-12_final.stac-item
2021-12-14 09:57:52	ga_ls9c_ard_3-2-1_097069_2021-12-14_final.stac-item
2021-12-18 11:14:48	ga_ls9c_ard_3-2-1_109076_2021-12-18_final.stac-item
2021-12-19 11:58:04	ga_ls9c_ard_3-2-1_116076_2021-12-19_final.stac-item
2021-12-28 11:53:29	ga_ls9c_ard_3-2-1_115080_2021-12-28_final.stac-item
2022-01-14 10:56:13	ga_ls9c_ard_3-2-1_106076_2022-01-14_final.stac-item
2022-01-19 11:12:47	ga_ls9c_ard_3-2-1_109071_2022-01-19_final.stac-item
2022-01-21 11:00:02	ga_ls9c_ard_3-2-1_107070_2022-01-21_final.stac-item
2022-01-23 10:47:41	ga_ls9c_ard_3-2-1_105070_2022-01-23_final.stac-item
2022-02-04 11:13:36	ga_ls9c_ard_3-2-1_109073_2022-02-04_final.stac-item
2022-02-07 10:04:00	ga_ls9c_ard_3-2-1_098069_2022-02-07_final.stac-item
2022-02-08 10:52:51	ga_ls9c_ard_3-2-1_105083_2022-02-08_final.stac-item
2022-03-04 09:57:35	ga_ls9c_ard_3-2-1_097069_2022-03-04_final.stac-item
2022-03-10 09:22:31	ga_ls9c_ard_3-2-1_091074_2022-03-09_final.stac-item
2022-03-12 10:49:02	ga_ls9c_ard_3-2-1_105074_2022-03-12_final.stac-item
2022-03-12 10:49:50	ga_ls9c_ard_3-2-1_105076_2022-03-12_final.stac-item
2022-04-20 09:21:16	ga_ls9c_ard_3-2-1_090087_2022-04-19_final.stac-item
2022-04-25 09:36:59	ga_ls9c_ard_3-2-1_093080_2022-04-25_final.stac-item
2022-04-26 10:21:27	ga_ls9c_ard_3-2-1_100083_2022-04-26_final.stac-item
2022-04-29 10:49:09	ga_ls9c_ard_3-2-1_105075_2022-04-29_final.stac-item
2022-05-04 11:09:39	ga_ls9c_ard_3-2-1_108080_2022-05-04_final.stac-item
2022-05-05 10:09:38	ga_ls9c_ard_3-2-1_099069_2022-05-05_final.stac-item
2022-05-31 09:12:50	ga_ls9c_ard_3-2-1_089082_2022-05-30_final.stac-item
2022-06-15 10:02:58	ga_ls9c_ard_3-2-1_098068_2022-06-15_final.stac-item
2022-07-08 10:10:10	ga_ls9c_ard_3-2-1_099070_2022-07-08_final.stac-item
2022-08-18 10:03:57	ga_ls9c_ard_3-2-1_098069_2022-08-18_final.stac-item
2022-08-24 11:11:46	ga_ls9c_ard_3-2-1_108084_2022-08-24_final.stac-item
2022-08-25 10:13:45	ga_ls9c_ard_3-2-1_099078_2022-08-25_final.stac-item
2022-09-05 11:36:05	ga_ls9c_ard_3-2-1_112083_2022-09-05_final.stac-item
2022-09-11 09:22:56	ga_ls9c_ard_3-2-1_090090_2022-09-10_final.stac-item
2022-09-17 10:19:36	ga_ls9c_ard_3-2-1_100077_2022-09-17_final.stac-item
2022-09-18 09:28:47	ga_ls9c_ard_3-2-1_091089_2022-09-17_final.stac-item
2022-10-02 09:34:24	ga_ls9c_ard_3-2-1_093072_2022-10-02_final.stac-item
2022-10-06 10:52:56	ga_ls9c_ard_3-2-1_105083_2022-10-06_final.stac-item
2022-10-07 11:32:13	ga_ls9c_ard_3-2-1_112073_2022-10-07_final.stac-item
2022-10-13 12:31:42	ga_ls9c_ard_3-2-1_122067_2022-10-13_final.stac-item
2022-11-26 11:24:20	ga_ls9c_ard_3-2-1_110084_2022-11-26_final.stac-item
2022-11-29 11:53:37	ga_ls9c_ard_3-2-1_115080_2022-11-29_final.stac-item
2022-12-09 10:53:03	ga_ls9c_ard_3-2-1_105083_2022-12-09_final.stac-item
2022-12-17 09:57:13	ga_ls9c_ard_3-2-1_097067_2022-12-17_final.stac-item
2023-02-01 10:09:12	ga_ls9c_ard_3-2-1_099066_2023-02-01_final.stac-item
2023-02-01 10:10:24	ga_ls9c_ard_3-2-1_099069_2023-02-01_final.stac-item
2023-02-01 11:53:40	ga_ls9c_ard_3-2-1_115080_2023-02-01_final.stac-item
2023-02-10 10:10:15	ga_ls9c_ard_3-2-1_098084_2023-02-10_final.stac-item
2023-02-18 10:55:59	ga_ls9c_ard_3-2-1_106075_2023-02-18_final.stac-item
2023-02-23 11:16:48	ga_ls9c_ard_3-2-1_109081_2023-02-23_final.stac-item
2023-02-27 10:52:52	ga_ls9c_ard_3-2-1_105083_2023-02-27_final.stac-item
2023-03-01 10:34:31	ga_ls9c_ard_3-2-1_103068_2023-03-01_final.stac-item
2023-03-02 11:24:09	ga_ls9c_ard_3-2-1_110084_2023-03-02_final.stac-item
2023-03-18 11:20:03	ga_ls9c_ard_3-2-1_110074_2023-03-18_final.stac-item
2023-03-29 09:21:39	ga_ls9c_ard_3-2-1_091072_2023-03-28_final.stac-item
2023-03-30 10:03:42	ga_ls9c_ard_3-2-1_098069_2023-03-30_final.stac-item
2023-04-09 09:07:27	ga_ls9c_ard_3-2-1_088083_2023-04-08_final.stac-item
2023-05-09 10:55:38	ga_ls9c_ard_3-2-1_106076_2023-05-09_final.stac-item
2023-06-08 11:07:22	ga_ls9c_ard_3-2-1_108075_2023-06-08_final.stac-item
2023-06-11 11:37:50	ga_ls9c_ard_3-2-1_113074_2023-06-11_final.stac-item
2023-06-17 09:27:47	ga_ls9c_ard_3-2-1_091089_2023-06-16_final.stac-item
2023-06-24 11:06:52	ga_ls9c_ard_3-2-1_108074_2023-06-24_final.stac-item
2023-07-09 10:24:39	ga_ls9c_ard_3-2-1_101076_2023-07-09_final.stac-item
2023-07-22 11:31:04	ga_ls9c_ard_3-2-1_112072_2023-07-22_final.stac-item
2023-07-26 11:05:33	ga_ls9c_ard_3-2-1_108070_2023-07-26_final.stac-item
2023-08-05 10:03:05	ga_ls9c_ard_3-2-1_098068_2023-08-05_final.stac-item
2023-08-14 11:42:13	ga_ls9c_ard_3-2-1_113084_2023-08-14_final.stac-item
2023-08-18 09:37:48	ga_ls9c_ard_3-2-1_093082_2023-08-18_final.stac-item
2023-08-21 10:03:34	ga_ls9c_ard_3-2-1_098069_2023-08-21_final.stac-item
2023-09-05 09:27:39	ga_ls9c_ard_3-2-1_091087_2023-09-04_final.stac-item
2023-09-19 09:34:31	ga_ls9c_ard_3-2-1_093073_2023-09-19_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 10:56:01	ga_ls9c_ard_3-2-1_106076_2023-09-30_final.stac-item
2023-10-05 09:39:20	ga_ls9c_ard_3-2-1_093085_2023-10-05_final.stac-item
2023-10-05 11:13:50	ga_ls9c_ard_3-2-1_109074_2023-10-05_final.stac-item
2023-10-09 09:16:15	ga_ls9c_ard_3-2-1_089089_2023-10-08_final.stac-item
2023-10-09 10:51:56	ga_ls9c_ard_3-2-1_105081_2023-10-09_final.stac-item
2023-10-16 12:31:31	ga_ls9c_ard_3-2-1_122067_2023-10-16_final.stac-item
2023-10-23 09:29:07	ga_ls9c_ard_3-2-1_091090_2023-10-22_final.stac-item
2023-11-01 09:22:50	ga_ls9c_ard_3-2-1_090090_2023-10-31_final.stac-item
2023-11-19 09:06:33	ga_ls9c_ard_3-2-1_088080_2023-11-18_final.stac-item
2023-12-02 10:09:26	ga_ls9c_ard_3-2-1_099067_2023-12-02_final.stac-item
2023-12-10 09:23:32	ga_ls9c_ard_3-2-1_091076_2023-12-09_final.stac-item
2023-12-20 11:39:59	ga_ls9c_ard_3-2-1_113077_2023-12-20_final.stac-item
2024-01-03 10:09:47	ga_ls9c_ard_3-2-1_099068_2024-01-03_final.stac-item
2024-01-28 10:09:59	ga_ls9c_ard_3-2-1_098084_2024-01-28_final.stac-item
2024-02-10 09:35:09	ga_ls9c_ard_3-2-1_093074_2024-02-10_final.stac-item
2024-02-14 09:12:23	ga_ls9c_ard_3-2-1_089079_2024-02-13_final.stac-item
2024-02-14 09:15:58	ga_ls9c_ard_3-2-1_089088_2024-02-13_final.stac-item
2024-02-17 11:20:07	ga_ls9c_ard_3-2-1_110074_2024-02-17_final.stac-item
2024-02-19 11:05:43	ga_ls9c_ard_3-2-1_108069_2024-02-19_final.stac-item
2024-02-27 11:58:19	ga_ls9c_ard_3-2-1_116077_2024-02-27_final.stac-item
2024-03-01 09:13:52	ga_ls9c_ard_3-2-1_089083_2024-02-29_final.stac-item
2024-03-13 11:15:05	ga_ls9c_ard_3-2-1_109077_2024-03-13_final.stac-item
2024-03-31 09:28:29	ga_ls9c_ard_3-2-1_091089_2024-03-30_final.stac-item
2024-04-08 10:08:43	ga_ls9c_ard_3-2-1_099066_2024-04-08_final.stac-item
2024-04-08 10:10:42	ga_ls9c_ard_3-2-1_099071_2024-04-08_final.stac-item
2024-04-19 09:57:58	ga_ls9c_ard_3-2-1_096086_2024-04-19_final.stac-item
2024-05-20 09:14:23	ga_ls9c_ard_3-2-1_089086_2024-05-19_nrt.stac-item
2024-05-26 11:52:36	ga_ls9c_ard_3-2-1_115080_2024-05-26_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