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
2021-02-06 09:10:53	ga_ls7e_ard_3-2-0_096078_2021-02-05_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-13 09:13:21	ga_ls7e_ard_3-2-0_097070_2021-02-12_final
2021-02-25 09:41:57	ga_ls7e_ard_3-2-0_101082_2021-02-25_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-12 10:32:48	ga_ls7e_ard_3-2-0_110073_2021-03-12_final
2021-03-28 10:32:19	ga_ls7e_ard_3-2-0_110075_2021-03-28_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-10 09:57:33	ga_ls7e_ard_3-2-0_105068_2021-04-10_final
2021-04-15 10:18:28	ga_ls7e_ard_3-2-0_108075_2021-04-15_final
2021-04-16 11:02:51	ga_ls7e_ard_3-2-0_115078_2021-04-16_final
2021-04-17 10:06:20	ga_ls7e_ard_3-2-0_106076_2021-04-17_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-04-29 10:28:51	ga_ls7e_ard_3-2-0_110073_2021-04-29_final
2021-05-01 10:17:07	ga_ls7e_ard_3-2-0_108075_2021-05-01_final
2021-05-02 09:18:37	ga_ls7e_ard_3-2-0_099068_2021-05-01_final
2021-05-02 10:59:54	ga_ls7e_ard_3-2-0_115074_2021-05-02_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-10 10:10:35	ga_ls7e_ard_3-2-0_107076_2021-05-10_final
2021-05-15 10:27:31	ga_ls7e_ard_3-2-0_110073_2021-05-15_final
2021-06-03 09:19:30	ga_ls7e_ard_3-2-0_099077_2021-06-02_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-20 10:02:35	ga_ls7e_ard_3-2-0_106080_2021-06-20_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-06-28 09:08:53	ga_ls7e_ard_3-2-0_098071_2021-06-27_final
2021-06-28 10:49:22	ga_ls7e_ard_3-2-0_114075_2021-06-28_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-03 09:31:48	ga_ls7e_ard_3-2-0_101083_2021-07-03_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-10 09:36:59	ga_ls7e_ard_3-2-0_102082_2021-07-10_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2021-07-16 10:38:16	ga_ls7e_ard_3-2-0_112082_2021-07-16_final
2021-07-18 10:21:45	ga_ls7e_ard_3-2-0_110072_2021-07-18_final
2021-07-22 08:24:35	ga_ls7e_ard_3-2-0_090089_2021-07-21_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-07-25 10:28:07	ga_ls7e_ard_3-2-0_111074_2021-07-25_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-12 10:14:10	ga_ls7e_ard_3-2-0_109074_2021-08-12_final
2021-08-20 09:27:13	ga_ls7e_ard_3-2-0_101082_2021-08-19_final
2021-08-21 10:07:12	ga_ls7e_ard_3-2-0_108074_2021-08-21_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-08-30 10:00:38	ga_ls7e_ard_3-2-0_107075_2021-08-30_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-11 10:23:31	ga_ls7e_ard_3-2-0_111073_2021-09-11_final
2021-09-23 09:05:53	ga_ls7e_ard_3-2-0_099067_2021-09-22_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-03 09:45:16	ga_ls7e_ard_3-2-0_105075_2021-10-03_final
2021-10-04 08:53:57	ga_ls7e_ard_3-2-0_096086_2021-10-03_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-07 09:20:12	ga_ls7e_ard_3-2-0_101075_2021-10-06_final
2021-10-09 09:08:52	ga_ls7e_ard_3-2-0_099078_2021-10-08_final
2021-10-11 10:33:37	ga_ls7e_ard_3-2-0_113074_2021-10-11_final
2021-10-28 09:36:03	ga_ls7e_ard_3-2-0_104073_2021-10-28_final
2021-10-29 08:44:20	ga_ls7e_ard_3-2-0_095083_2021-10-28_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-11-09 10:02:26	ga_ls7e_ard_3-2-0_108080_2021-11-09_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_final
2021-11-26 09:01:34	ga_ls7e_ard_3-2-1_099071_2021-11-25_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-06 09:42:06	ga_ls7e_ard_3-2-1_105082_2021-12-06_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-17 09:17:44	ga_ls7e_ard_3-2-1_102070_2021-12-16_final
2021-12-30 08:46:20	ga_ls7e_ard_3-2-1_097072_2021-12-29_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-05 08:11:50	ga_ls7e_ard_3-2-1_091080_2022-01-04_final
2022-01-06 08:51:01	ga_ls7e_ard_3-2-1_098070_2022-01-05_final
2022-01-06 10:31:29	ga_ls7e_ard_3-2-1_114074_2022-01-06_final
2022-01-13 08:56:09	ga_ls7e_ard_3-2-1_099069_2022-01-12_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-03 09:13:26	ga_ls7e_ard_3-2-1_102071_2022-02-02_final
2022-02-10 09:18:30	ga_ls7e_ard_3-2-1_103070_2022-02-09_final
2022-02-11 10:07:14	ga_ls7e_ard_3-2-1_110084_2022-02-11_final
2022-02-14 08:56:09	ga_ls7e_ard_3-2-1_099077_2022-02-13_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-02-27 10:01:41	ga_ls7e_ard_3-2-1_110074_2022-02-27_final
2022-03-01 08:13:51	ga_ls7e_ard_3-2-1_092083_2022-02-28_final
2022-03-02 08:54:37	ga_ls7e_ard_3-2-1_099077_2022-03-01_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-12 09:32:42	ga_ls7e_ard_3-2-1_105082_2022-03-12_final
2022-03-22 10:05:12	ga_ls7e_ard_3-2-1_111073_2022-03-22_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_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