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
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-01-29 10:00:07	ga_ls7e_ard_3-2-0_104076_2021-01-29_final
2021-04-27 10:41:46	ga_ls7e_ard_3-2-0_112074_2021-04-27_final
2021-04-27 10:44:58	ga_ls7e_ard_3-2-0_112082_2021-04-27_final
2021-05-18 10:58:33	ga_ls7e_ard_3-2-0_115074_2021-05-18_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-15 09:41:15	ga_ls7e_ard_3-2-0_103072_2021-06-15_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-19 09:14:37	ga_ls7e_ard_3-2-0_099068_2021-06-18_final
2021-06-19 09:19:24	ga_ls7e_ard_3-2-0_099080_2021-06-18_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-06-20 09:59:23	ga_ls7e_ard_3-2-0_106072_2021-06-20_final
2021-06-27 10:09:22	ga_ls7e_ard_3-2-0_107083_2021-06-27_final
2021-06-29 09:53:39	ga_ls7e_ard_3-2-0_105075_2021-06-29_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-07 09:01:33	ga_ls7e_ard_3-2-0_097070_2021-07-06_final
2021-07-10 09:31:48	ga_ls7e_ard_3-2-0_102069_2021-07-10_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-18 10:23:20	ga_ls7e_ard_3-2-0_110076_2021-07-18_final
2021-07-20 10:08:49	ga_ls7e_ard_3-2-0_108071_2021-07-20_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-24 09:48:08	ga_ls7e_ard_3-2-0_104082_2021-07-24_final
2021-07-28 09:19:05	ga_ls7e_ard_3-2-0_100072_2021-07-27_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-08 10:41:14	ga_ls7e_ard_3-2-0_113079_2021-08-08_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-15 09:03:55	ga_ls7e_ard_3-2-0_098069_2021-08-14_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-22 09:10:41	ga_ls7e_ard_3-2-0_099072_2021-08-21_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-08-24 10:37:50	ga_ls7e_ard_3-2-0_113074_2021-08-24_final
2021-08-28 10:11:35	ga_ls7e_ard_3-2-0_109071_2021-08-28_final
2021-08-31 09:08:32	ga_ls7e_ard_3-2-0_098084_2021-08-30_final
2021-09-05 09:22:38	ga_ls7e_ard_3-2-0_101074_2021-09-04_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-10 09:38:21	ga_ls7e_ard_3-2-0_104068_2021-09-10_final
2021-09-22 08:31:06	ga_ls7e_ard_3-2-0_092088_2021-09-21_final
2021-09-22 10:07:59	ga_ls7e_ard_3-2-0_108083_2021-09-22_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-01 08:22:07	ga_ls7e_ard_3-2-0_091083_2021-09-30_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_2021-10-01_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-07 09:23:24	ga_ls7e_ard_3-2-0_101083_2021-10-06_final
2021-10-08 10:06:58	ga_ls7e_ard_3-2-0_108084_2021-10-08_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-14 09:27:45	ga_ls7e_ard_3-2-0_102080_2021-10-13_final
2021-10-18 08:57:54	ga_ls7e_ard_3-2-0_098068_2021-10-17_final
2021-10-19 08:07:46	ga_ls7e_ard_3-2-0_089082_2021-10-18_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-02 08:17:15	ga_ls7e_ard_3-2-0_091078_2021-11-01_final
2021-11-02 08:18:03	ga_ls7e_ard_3-2-0_091080_2021-11-01_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-19 10:36:32	ga_ls7e_ard_3-2-1_114075_2021-11-19_final
2021-11-21 08:46:42	ga_ls7e_ard_3-2-1_096079_2021-11-20_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-12-01 09:18:51	ga_ls7e_ard_3-2-1_102069_2021-11-30_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-12 09:03:40	ga_ls7e_ard_3-2-1_099080_2021-12-11_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2021-12-18 10:03:17	ga_ls7e_ard_3-2-1_109076_2021-12-18_final
2021-12-20 09:53:55	ga_ls7e_ard_3-2-1_107084_2021-12-20_final
2021-12-22 08:00:30	ga_ls7e_ard_3-2-1_089079_2021-12-21_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2021-12-23 08:40:04	ga_ls7e_ard_3-2-1_096070_2021-12-22_final
2021-12-24 09:27:13	ga_ls7e_ard_3-2-1_103080_2021-12-23_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2021-12-29 09:44:27	ga_ls7e_ard_3-2-1_106078_2021-12-29_final
2021-12-30 10:29:36	ga_ls7e_ard_3-2-1_113083_2021-12-30_final
2022-01-05 08:10:15	ga_ls7e_ard_3-2-1_091076_2022-01-04_final
2022-01-08 08:38:52	ga_ls7e_ard_3-2-1_096071_2022-01-07_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-15 10:24:52	ga_ls7e_ard_3-2-1_113075_2022-01-15_final
2022-01-17 10:12:19	ga_ls7e_ard_3-2-1_111075_2022-01-17_final
2022-01-22 08:50:18	ga_ls7e_ard_3-2-1_098072_2022-01-21_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-01-25 09:19:43	ga_ls7e_ard_3-2-1_103069_2022-01-24_final
2022-01-29 10:35:52	ga_ls7e_ard_3-2-1_115075_2022-01-29_final
2022-02-01 09:29:35	ga_ls7e_ard_3-2-1_104080_2022-01-31_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-02-16 08:44:23	ga_ls7e_ard_3-2-1_097079_2022-02-15_final
2022-02-16 10:21:16	ga_ls7e_ard_3-2-1_113074_2022-02-16_final
2022-02-20 09:59:22	ga_ls7e_ard_3-2-1_109082_2022-02-20_final
2022-02-23 10:27:35	ga_ls7e_ard_3-2-1_114076_2022-02-23_final
2022-03-05 09:21:38	ga_ls7e_ard_3-2-1_104068_2022-03-04_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 09:31:51	ga_ls7e_ard_3-2-1_106070_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years