Search ga_ls7e_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

First 100 results (query limit)

Time (local)	Label
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-29 08:28:34	ga_ls7e_ard_3-2-0_091085_2021-07-28_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-05 10:07:01	ga_ls7e_ard_3-2-0_108070_2021-08-05_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-14 10:05:13	ga_ls7e_ard_3-2-0_107083_2021-08-14_final
2021-08-20 09:24:01	ga_ls7e_ard_3-2-0_101074_2021-08-19_final
2021-08-21 08:32:18	ga_ls7e_ard_3-2-0_092084_2021-08-20_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-29 09:21:04	ga_ls7e_ard_3-2-0_100084_2021-08-28_final
2021-09-04 10:15:33	ga_ls7e_ard_3-2-0_110067_2021-09-04_final
2021-09-07 09:09:18	ga_ls7e_ard_3-2-0_099072_2021-09-06_final
2021-09-08 09:51:41	ga_ls7e_ard_3-2-0_106070_2021-09-08_final
2021-09-12 09:26:13	ga_ls7e_ard_3-2-0_102069_2021-09-11_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-14 09:14:28	ga_ls7e_ard_3-2-0_100071_2021-09-13_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-24 09:49:51	ga_ls7e_ard_3-2-0_106069_2021-09-24_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-01 08:21:19	ga_ls7e_ard_3-2-0_091081_2021-09-30_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-08 08:28:29	ga_ls7e_ard_3-2-0_092085_2021-10-07_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-08 10:03:22	ga_ls7e_ard_3-2-0_108075_2021-10-08_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-10 09:49:15	ga_ls7e_ard_3-2-0_106071_2021-10-10_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-10-11 08:58:43	ga_ls7e_ard_3-2-0_097084_2021-10-10_final
2021-10-13 08:41:24	ga_ls7e_ard_3-2-0_095072_2021-10-12_final
2021-10-20 08:46:57	ga_ls7e_ard_3-2-0_096072_2021-10-19_final
2021-10-24 08:23:04	ga_ls7e_ard_3-2-0_092075_2021-10-23_final
2021-10-25 09:06:38	ga_ls7e_ard_3-2-0_099076_2021-10-24_final
2021-10-26 09:48:36	ga_ls7e_ard_3-2-0_106073_2021-10-26_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-10-30 09:21:55	ga_ls7e_ard_3-2-0_102069_2021-10-29_final
2021-11-07 10:12:59	ga_ls7e_ard_3-2-0_110075_2021-11-07_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-08 09:18:52	ga_ls7e_ard_3-2-0_101079_2021-11-07_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-09 08:23:09	ga_ls7e_ard_3-2-0_092079_2021-11-08_final
2021-11-09 10:02:02	ga_ls7e_ard_3-2-0_108079_2021-11-09_final
2021-11-11 09:46:17	ga_ls7e_ard_3-2-0_106071_2021-11-11_final
2021-11-11 09:47:29	ga_ls7e_ard_3-2-0_106074_2021-11-11_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-11-27 09:45:56	ga_ls7e_ard_3-2-1_106074_2021-11-27_final
2021-11-28 08:49:02	ga_ls7e_ard_3-2-1_097071_2021-11-27_final
2021-11-28 08:51:49	ga_ls7e_ard_3-2-1_097078_2021-11-27_final
2021-11-28 08:54:37	ga_ls7e_ard_3-2-1_097085_2021-11-27_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-14 08:50:19	ga_ls7e_ard_3-2-1_097078_2021-12-13_final
2021-12-20 09:50:44	ga_ls7e_ard_3-2-1_107076_2021-12-20_final
2021-12-21 08:52:37	ga_ls7e_ard_3-2-1_098070_2021-12-20_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2021-12-24 09:23:37	ga_ls7e_ard_3-2-1_103071_2021-12-23_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2021-12-29 08:07:34	ga_ls7e_ard_3-2-1_090083_2021-12-28_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-01 10:12:15	ga_ls7e_ard_3-2-1_111071_2022-01-01_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-03 08:22:01	ga_ls7e_ard_3-2-1_093074_2022-01-02_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-18 09:17:48	ga_ls7e_ard_3-2-1_102078_2022-01-17_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-20 09:02:51	ga_ls7e_ard_3-2-1_100072_2022-01-19_final
2022-01-20 09:03:15	ga_ls7e_ard_3-2-1_100073_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-22 10:30:23	ga_ls7e_ard_3-2-1_114075_2022-01-22_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-01-29 08:59:23	ga_ls7e_ard_3-2-1_099081_2022-01-28_final
2022-01-30 09:40:33	ga_ls7e_ard_3-2-1_106076_2022-01-30_final
2022-02-03 09:15:50	ga_ls7e_ard_3-2-1_102077_2022-02-02_final
2022-02-18 08:29:51	ga_ls7e_ard_3-2-1_095074_2022-02-17_final
2022-02-18 10:07:55	ga_ls7e_ard_3-2-1_111072_2022-02-18_final
2022-02-18 10:12:43	ga_ls7e_ard_3-2-1_111084_2022-02-18_final
2022-02-20 08:21:41	ga_ls7e_ard_3-2-1_093085_2022-02-19_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-02-27 10:05:17	ga_ls7e_ard_3-2-1_110083_2022-02-27_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-10 08:04:23	ga_ls7e_ard_3-2-1_091077_2022-03-09_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-04-04 08:00:58	ga_ls7e_ard_3-2-1_090090_2022-04-03_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years