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
2021-03-09 10:03:44	ga_ls7e_ard_3-2-0_105077_2021-03-09_final
2021-03-25 10:02:04	ga_ls7e_ard_3-2-0_105076_2021-03-25_final
2021-03-28 10:33:07	ga_ls7e_ard_3-2-0_110077_2021-03-28_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-04 09:01:50	ga_ls7e_ard_3-2-0_095082_2021-04-03_final
2021-04-05 09:40:38	ga_ls7e_ard_3-2-0_102071_2021-04-05_final
2021-04-06 08:48:31	ga_ls7e_ard_3-2-0_093080_2021-04-05_final
2021-04-08 10:14:52	ga_ls7e_ard_3-2-0_107080_2021-04-08_final
2021-04-11 09:07:26	ga_ls7e_ard_3-2-0_096082_2021-04-10_final
2021-04-13 10:31:00	ga_ls7e_ard_3-2-0_110075_2021-04-13_final
2021-04-15 08:44:23	ga_ls7e_ard_3-2-0_092087_2021-04-14_final
2021-04-28 09:49:15	ga_ls7e_ard_3-2-0_103082_2021-04-28_final
2021-04-29 10:32:02	ga_ls7e_ard_3-2-0_110081_2021-04-29_final
2021-05-08 10:25:31	ga_ls7e_ard_3-2-0_109082_2021-05-08_final
2021-05-11 10:54:34	ga_ls7e_ard_3-2-0_114078_2021-05-11_final
2021-05-13 10:43:38	ga_ls7e_ard_3-2-0_112082_2021-05-13_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-17 10:18:34	ga_ls7e_ard_3-2-0_108082_2021-05-17_final
2021-05-22 10:32:42	ga_ls7e_ard_3-2-0_111072_2021-05-22_final
2021-05-23 09:35:48	ga_ls7e_ard_3-2-0_102069_2021-05-23_final
2021-05-26 10:10:25	ga_ls7e_ard_3-2-0_107079_2021-05-26_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-06-05 09:04:11	ga_ls7e_ard_3-2-0_097070_2021-06-04_final
2021-06-07 10:31:21	ga_ls7e_ard_3-2-0_111072_2021-06-07_final
2021-06-09 10:18:49	ga_ls7e_ard_3-2-0_109072_2021-06-09_final
2021-06-16 10:27:38	ga_ls7e_ard_3-2-0_110080_2021-06-16_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-27 10:08:35	ga_ls7e_ard_3-2-0_107081_2021-06-27_final
2021-06-30 08:55:57	ga_ls7e_ard_3-2-0_096070_2021-06-29_final
2021-07-02 08:47:49	ga_ls7e_ard_3-2-0_094081_2021-07-01_final
2021-07-07 09:07:32	ga_ls7e_ard_3-2-0_097085_2021-07-06_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2021-07-15 08:14:13	ga_ls7e_ard_3-2-0_089077_2021-07-14_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-12 10:12:58	ga_ls7e_ard_3-2-0_109071_2021-08-12_final
2021-08-21 08:32:18	ga_ls7e_ard_3-2-0_092084_2021-08-20_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-23 09:54:40	ga_ls7e_ard_3-2-0_106074_2021-08-23_final
2021-08-24 09:01:45	ga_ls7e_ard_3-2-0_097081_2021-08-23_final
2021-08-26 08:50:25	ga_ls7e_ard_3-2-0_095084_2021-08-25_final
2021-09-02 10:34:28	ga_ls7e_ard_3-2-0_112083_2021-09-02_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-08 09:52:29	ga_ls7e_ard_3-2-0_106072_2021-09-08_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-26 09:37:19	ga_ls7e_ard_3-2-0_104069_2021-09-26_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-15 08:34:27	ga_ls7e_ard_3-2-0_093086_2021-10-14_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-10-22 08:38:00	ga_ls7e_ard_3-2-0_094081_2021-10-21_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-10-24 10:05:08	ga_ls7e_ard_3-2-0_108083_2021-10-24_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2021-11-16 10:08:20	ga_ls7e_ard_3-2-1_109081_2021-11-16_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-11-21 10:24:23	ga_ls7e_ard_3-2-1_112076_2021-11-21_final
2021-11-23 10:09:26	ga_ls7e_ard_3-2-1_110070_2021-11-23_final
2021-11-27 09:47:32	ga_ls7e_ard_3-2-1_106078_2021-11-27_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-14 08:51:31	ga_ls7e_ard_3-2-1_097081_2021-12-13_final
2021-12-17 09:20:55	ga_ls7e_ard_3-2-1_102078_2021-12-16_final
2021-12-20 09:53:55	ga_ls7e_ard_3-2-1_107084_2021-12-20_final
2021-12-25 10:07:11	ga_ls7e_ard_3-2-1_110072_2021-12-25_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2021-12-27 09:55:49	ga_ls7e_ard_3-2-1_108075_2021-12-27_final
2022-01-01 08:38:58	ga_ls7e_ard_3-2-1_095085_2021-12-31_final
2022-01-01 10:13:51	ga_ls7e_ard_3-2-1_111075_2022-01-01_final
2022-01-02 09:18:56	ga_ls7e_ard_3-2-1_102077_2022-01-01_final
2022-01-02 09:19:20	ga_ls7e_ard_3-2-1_102078_2022-01-01_final
2022-01-03 08:27:12	ga_ls7e_ard_3-2-1_093087_2022-01-02_final
2022-01-03 10:03:17	ga_ls7e_ard_3-2-1_109080_2022-01-03_final
2022-01-06 08:53:25	ga_ls7e_ard_3-2-1_098076_2022-01-05_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-13 08:59:20	ga_ls7e_ard_3-2-1_099077_2022-01-12_final
2022-01-14 09:42:54	ga_ls7e_ard_3-2-1_106078_2022-01-14_final
2022-01-15 08:44:24	ga_ls7e_ard_3-2-1_097071_2022-01-14_final
2022-01-22 10:31:58	ga_ls7e_ard_3-2-1_114079_2022-01-22_final
2022-01-31 10:24:55	ga_ls7e_ard_3-2-1_113079_2022-01-31_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-10 09:18:54	ga_ls7e_ard_3-2-1_103071_2022-02-09_final
2022-02-14 08:54:33	ga_ls7e_ard_3-2-1_099073_2022-02-13_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-02-21 08:59:40	ga_ls7e_ard_3-2-1_100072_2022-02-20_final
2022-02-25 08:38:57	ga_ls7e_ard_3-2-1_096083_2022-02-24_final
2022-02-28 09:07:10	ga_ls7e_ard_3-2-1_101077_2022-02-27_final
2022-03-04 10:22:08	ga_ls7e_ard_3-2-1_113080_2022-03-04_final
2022-03-09 08:58:54	ga_ls7e_ard_3-2-1_100074_2022-03-08_final
2022-03-11 10:25:37	ga_ls7e_ard_3-2-1_114075_2022-03-11_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_final
2022-03-17 09:48:20	ga_ls7e_ard_3-2-1_108076_2022-03-17_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-04-04 07:57:22	ga_ls7e_ard_3-2-1_090081_2022-04-03_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