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

98 results

Time (local)	Label
2021-11-13 09:57:07	ga_ls9c_ard_3-2-1_097068_2021-11-13_final.stac-item
2021-11-22 09:28:03	ga_ls9c_ard_3-2-1_091083_2021-11-21_final.stac-item
2021-12-08 10:39:48	ga_ls9c_ard_3-2-1_103081_2021-12-08_final.stac-item
2021-12-26 10:24:10	ga_ls9c_ard_3-2-1_101073_2021-12-26_final.stac-item
2021-12-27 09:34:08	ga_ls9c_ard_3-2-1_092087_2021-12-27_final.stac-item
2022-01-06 10:08:00	ga_ls9c_ard_3-2-1_098079_2022-01-06_final.stac-item
2022-01-14 10:56:13	ga_ls9c_ard_3-2-1_106076_2022-01-14_final.stac-item
2022-01-21 09:28:20	ga_ls9c_ard_3-2-1_091088_2022-01-20_final.stac-item
2022-02-02 09:52:16	ga_ls9c_ard_3-2-1_095086_2022-02-02_final.stac-item
2022-02-04 11:12:24	ga_ls9c_ard_3-2-1_109070_2022-02-04_final.stac-item
2022-02-25 09:58:15	ga_ls9c_ard_3-2-1_096086_2022-02-25_final.stac-item
2022-02-26 10:35:55	ga_ls9c_ard_3-2-1_103072_2022-02-26_final.stac-item
2022-02-28 10:25:31	ga_ls9c_ard_3-2-1_101077_2022-02-28_final.stac-item
2022-03-10 09:22:07	ga_ls9c_ard_3-2-1_091073_2022-03-09_final.stac-item
2022-03-24 11:14:29	ga_ls9c_ard_3-2-1_109076_2022-03-24_final.stac-item
2022-04-08 10:28:47	ga_ls9c_ard_3-2-1_102070_2022-04-08_final.stac-item
2022-05-21 10:09:02	ga_ls9c_ard_3-2-1_099068_2022-05-21_final.stac-item
2022-06-25 09:06:37	ga_ls9c_ard_3-2-1_088081_2022-06-24_final.stac-item
2022-06-30 09:28:21	ga_ls9c_ard_3-2-1_091089_2022-06-29_final.stac-item
2022-07-24 10:13:52	ga_ls9c_ard_3-2-1_099079_2022-07-24_final.stac-item
2022-08-26 10:56:13	ga_ls9c_ard_3-2-1_106076_2022-08-26_final.stac-item
2022-08-28 09:07:22	ga_ls9c_ard_3-2-1_088082_2022-08-27_final.stac-item
2022-08-31 09:40:16	ga_ls9c_ard_3-2-1_093087_2022-08-31_final.stac-item
2022-09-18 09:22:00	ga_ls9c_ard_3-2-1_091072_2022-09-17_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 10:35:54	ga_ls9c_ard_3-2-1_103071_2022-10-24_final.stac-item
2022-10-25 09:44:16	ga_ls9c_ard_3-2-1_094081_2022-10-25_final.stac-item
2022-11-01 09:51:37	ga_ls9c_ard_3-2-1_095084_2022-11-01_final.stac-item
2022-11-09 10:35:06	ga_ls9c_ard_3-2-1_103069_2022-11-09_final.stac-item
2022-11-20 10:19:22	ga_ls9c_ard_3-2-1_100076_2022-11-20_final.stac-item
2022-12-08 10:08:35	ga_ls9c_ard_3-2-1_098080_2022-12-08_final.stac-item
2022-12-12 11:20:45	ga_ls9c_ard_3-2-1_110075_2022-12-12_final.stac-item
2022-12-21 11:12:56	ga_ls9c_ard_3-2-1_109071_2022-12-21_final.stac-item
2022-12-24 10:09:43	ga_ls9c_ard_3-2-1_098083_2022-12-24_final.stac-item
2023-01-13 11:19:55	ga_ls9c_ard_3-2-1_110073_2023-01-13_final.stac-item
2023-01-13 11:20:43	ga_ls9c_ard_3-2-1_110075_2023-01-13_final.stac-item
2023-01-15 11:07:56	ga_ls9c_ard_3-2-1_108074_2023-01-15_final.stac-item
2023-01-21 10:28:21	ga_ls9c_ard_3-2-1_102068_2023-01-21_final.stac-item
2023-01-23 11:58:31	ga_ls9c_ard_3-2-1_116077_2023-01-23_final.stac-item
2023-02-07 11:12:14	ga_ls9c_ard_3-2-1_109069_2023-02-07_final.stac-item
2023-02-08 10:20:13	ga_ls9c_ard_3-2-1_100078_2023-02-08_final.stac-item
2023-02-16 09:29:54	ga_ls9c_ard_3-2-1_092076_2023-02-15_final.stac-item
2023-02-18 09:23:06	ga_ls9c_ard_3-2-1_090090_2023-02-17_final.stac-item
2023-02-18 10:54:24	ga_ls9c_ard_3-2-1_106071_2023-02-18_final.stac-item
2023-03-18 09:40:46	ga_ls9c_ard_3-2-1_094073_2023-03-18_final.stac-item
2023-03-25 11:25:20	ga_ls9c_ard_3-2-1_111072_2023-03-25_final.stac-item
2023-03-29 09:21:39	ga_ls9c_ard_3-2-1_091072_2023-03-28_final.stac-item
2023-04-07 10:55:31	ga_ls9c_ard_3-2-1_106075_2023-04-07_final.stac-item
2023-05-16 09:24:29	ga_ls9c_ard_3-2-1_091080_2023-05-15_final.stac-item
2023-05-24 11:51:29	ga_ls9c_ard_3-2-1_115077_2023-05-24_final.stac-item
2023-06-01 09:26:44	ga_ls9c_ard_3-2-1_091086_2023-05-31_final.stac-item
2023-06-02 10:07:12	ga_ls9c_ard_3-2-1_098079_2023-06-02_final.stac-item
2023-06-11 11:41:01	ga_ls9c_ard_3-2-1_113082_2023-06-11_final.stac-item
2023-06-18 10:03:52	ga_ls9c_ard_3-2-1_098071_2023-06-18_final.stac-item
2023-06-20 11:35:35	ga_ls9c_ard_3-2-1_112084_2023-06-20_final.stac-item
2023-06-24 09:32:46	ga_ls9c_ard_3-2-1_092086_2023-06-24_final.stac-item
2023-07-03 09:27:34	ga_ls9c_ard_3-2-1_091088_2023-07-02_final.stac-item
2023-07-10 09:27:26	ga_ls9c_ard_3-2-1_092072_2023-07-09_final.stac-item
2023-07-11 11:50:47	ga_ls9c_ard_3-2-1_115075_2023-07-11_final.stac-item
2023-07-17 09:33:15	ga_ls9c_ard_3-2-1_093071_2023-07-17_final.stac-item
2023-07-27 10:10:44	ga_ls9c_ard_3-2-1_099072_2023-07-27_final.stac-item
2023-08-07 09:57:56	ga_ls9c_ard_3-2-1_096086_2023-08-07_final.stac-item
2023-08-16 09:51:45	ga_ls9c_ard_3-2-1_095086_2023-08-16_final.stac-item
2023-08-18 09:33:24	ga_ls9c_ard_3-2-1_093071_2023-08-18_final.stac-item
2023-08-30 09:56:42	ga_ls9c_ard_3-2-1_097067_2023-08-30_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 10:27:32	ga_ls9c_ard_3-2-1_101082_2023-09-11_final.stac-item
2023-09-21 09:22:09	ga_ls9c_ard_3-2-1_091073_2023-09-20_final.stac-item
2023-09-22 10:03:01	ga_ls9c_ard_3-2-1_098067_2023-09-22_final.stac-item
2023-10-07 11:01:29	ga_ls9c_ard_3-2-1_107074_2023-10-07_final.stac-item
2023-10-15 10:16:08	ga_ls9c_ard_3-2-1_099084_2023-10-15_final.stac-item
2023-10-23 09:23:07	ga_ls9c_ard_3-2-1_091075_2023-10-22_final.stac-item
2023-10-23 09:28:19	ga_ls9c_ard_3-2-1_091088_2023-10-22_final.stac-item
2023-10-24 10:04:23	ga_ls9c_ard_3-2-1_098070_2023-10-24_final.stac-item
2023-10-31 11:52:34	ga_ls9c_ard_3-2-1_115078_2023-10-31_final.stac-item
2023-11-16 10:11:18	ga_ls9c_ard_3-2-1_099072_2023-11-16_final.stac-item
2023-11-16 11:52:58	ga_ls9c_ard_3-2-1_115079_2023-11-16_final.stac-item
2023-11-20 09:52:14	ga_ls9c_ard_3-2-1_095086_2023-11-20_final.stac-item
2023-11-23 10:17:35	ga_ls9c_ard_3-2-1_100072_2023-11-23_final.stac-item
2023-11-23 10:19:59	ga_ls9c_ard_3-2-1_100078_2023-11-23_final.stac-item
2023-11-25 11:47:43	ga_ls9c_ard_3-2-1_114081_2023-11-25_final.stac-item
2023-12-02 10:09:26	ga_ls9c_ard_3-2-1_099067_2023-12-02_final.stac-item
2024-01-11 09:23:57	ga_ls9c_ard_3-2-1_091077_2024-01-10_final.stac-item
2024-01-15 10:39:43	ga_ls9c_ard_3-2-1_103081_2024-01-15_final.stac-item
2024-01-28 10:03:36	ga_ls9c_ard_3-2-1_098068_2024-01-28_final.stac-item
2024-01-31 10:40:07	ga_ls9c_ard_3-2-1_103082_2024-01-31_final.stac-item
2024-02-14 10:50:04	ga_ls9c_ard_3-2-1_105076_2024-02-14_final.stac-item
2024-02-24 11:26:10	ga_ls9c_ard_3-2-1_111074_2024-02-24_final.stac-item
2024-03-10 10:40:37	ga_ls9c_ard_3-2-1_104068_2024-03-10_final.stac-item
2024-03-31 10:59:47	ga_ls9c_ard_3-2-1_107070_2024-03-31_final.stac-item
2024-04-02 09:13:43	ga_ls9c_ard_3-2-1_089083_2024-04-01_final.stac-item
2024-04-17 11:47:16	ga_ls9c_ard_3-2-1_114081_2024-04-17_final.stac-item
2024-04-26 09:57:35	ga_ls9c_ard_3-2-1_097070_2024-04-26_final.stac-item
2024-04-30 09:40:03	ga_ls9c_ard_3-2-1_093088_2024-04-30_final.stac-item
2024-05-05 09:52:35	ga_ls9c_ard_3-2-1_096073_2024-05-05_final.stac-item
2024-05-13 09:06:18	ga_ls9c_ard_3-2-1_088081_2024-05-12_final.stac-item
2024-05-13 09:07:06	ga_ls9c_ard_3-2-1_088083_2024-05-12_final.stac-item
2024-06-01 09:33:01	ga_ls9c_ard_3-2-1_093071_2024-06-01_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