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
2021-04-18 09:11:50	ga_ls7e_ard_3-2-0_097079_2021-04-17_final
2021-04-20 10:40:11	ga_ls7e_ard_3-2-0_111084_2021-04-20_final
2021-04-24 08:33:27	ga_ls7e_ard_3-2-0_091077_2021-04-23_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-04-29 10:28:51	ga_ls7e_ard_3-2-0_110073_2021-04-29_final
2021-05-01 10:17:31	ga_ls7e_ard_3-2-0_108076_2021-05-01_final
2021-05-12 09:55:16	ga_ls7e_ard_3-2-0_105069_2021-05-12_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-05-26 10:10:49	ga_ls7e_ard_3-2-0_107080_2021-05-26_final
2021-05-27 09:11:08	ga_ls7e_ard_3-2-0_098070_2021-05-26_final
2021-06-04 09:59:53	ga_ls7e_ard_3-2-0_106070_2021-06-04_final
2021-06-04 10:00:17	ga_ls7e_ard_3-2-0_106071_2021-06-04_final
2021-06-05 09:05:23	ga_ls7e_ard_3-2-0_097073_2021-06-04_final
2021-06-12 10:52:40	ga_ls7e_ard_3-2-0_114080_2021-06-12_final
2021-06-16 10:22:26	ga_ls7e_ard_3-2-0_110067_2021-06-16_final
2021-06-18 08:34:14	ga_ls7e_ard_3-2-0_092075_2021-06-17_final
2021-06-21 09:06:29	ga_ls7e_ard_3-2-0_097079_2021-06-20_final
2021-06-25 08:43:01	ga_ls7e_ard_3-2-0_093083_2021-06-24_final
2021-06-28 09:12:05	ga_ls7e_ard_3-2-0_098079_2021-06-27_final
2021-06-28 09:12:28	ga_ls7e_ard_3-2-0_098080_2021-06-27_final
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-06 09:58:51	ga_ls7e_ard_3-2-0_106074_2021-07-06_final
2021-07-09 10:33:29	ga_ls7e_ard_3-2-0_111084_2021-07-09_final
2021-07-12 09:20:28	ga_ls7e_ard_3-2-0_100072_2021-07-11_final
2021-07-22 09:57:29	ga_ls7e_ard_3-2-0_106074_2021-07-22_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-07-26 09:30:25	ga_ls7e_ard_3-2-0_102069_2021-07-26_final
2021-07-31 08:14:02	ga_ls7e_ard_3-2-0_089080_2021-07-30_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-12 08:39:41	ga_ls7e_ard_3-2-0_093085_2021-08-11_final
2021-08-16 08:13:24	ga_ls7e_ard_3-2-0_089082_2021-08-15_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-31 09:02:56	ga_ls7e_ard_3-2-0_098070_2021-08-30_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-09-06 10:09:48	ga_ls7e_ard_3-2-0_108084_2021-09-06_final
2021-09-09 08:56:46	ga_ls7e_ard_3-2-0_097072_2021-09-08_final
2021-09-12 09:26:37	ga_ls7e_ard_3-2-0_102070_2021-09-11_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-09-19 09:34:10	ga_ls7e_ard_3-2-0_103075_2021-09-19_final
2021-09-21 09:20:01	ga_ls7e_ard_3-2-0_101071_2021-09-20_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-09-28 09:24:46	ga_ls7e_ard_3-2-0_102069_2021-09-27_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-03 08:08:47	ga_ls7e_ard_3-2-0_089081_2021-10-02_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-13 10:21:04	ga_ls7e_ard_3-2-0_111074_2021-10-13_final
2021-10-17 08:20:43	ga_ls7e_ard_3-2-0_091083_2021-10-16_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-10-19 08:06:58	ga_ls7e_ard_3-2-0_089080_2021-10-18_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-10-26 08:14:07	ga_ls7e_ard_3-2-0_090084_2021-10-25_final
2021-10-27 08:53:17	ga_ls7e_ard_3-2-0_097074_2021-10-26_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-10-29 08:43:56	ga_ls7e_ard_3-2-0_095082_2021-10-28_final
2021-10-29 10:22:25	ga_ls7e_ard_3-2-0_111081_2021-10-29_final
2021-10-30 09:23:54	ga_ls7e_ard_3-2-0_102074_2021-10-29_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-07 08:37:42	ga_ls7e_ard_3-2-0_094084_2021-11-06_final
2021-11-07 10:12:35	ga_ls7e_ard_3-2-0_110074_2021-11-07_final
2021-11-09 10:00:02	ga_ls7e_ard_3-2-0_108074_2021-11-09_final
2021-11-10 10:44:00	ga_ls7e_ard_3-2-0_115076_2021-11-10_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-14 08:38:49	ga_ls7e_ard_3-2-1_095073_2021-11-13_final
2021-11-14 10:17:18	ga_ls7e_ard_3-2-1_111072_2021-11-14_final
2021-11-16 10:09:08	ga_ls7e_ard_3-2-1_109083_2021-11-16_final
2021-12-10 09:13:49	ga_ls7e_ard_3-2-1_101074_2021-12-09_final
2021-12-11 10:00:34	ga_ls7e_ard_3-2-1_108083_2021-12-11_final
2021-12-14 08:52:42	ga_ls7e_ard_3-2-1_097084_2021-12-13_final
2021-12-20 09:50:20	ga_ls7e_ard_3-2-1_107075_2021-12-20_final
2021-12-24 09:24:49	ga_ls7e_ard_3-2-1_103074_2021-12-23_final
2021-12-24 09:27:13	ga_ls7e_ard_3-2-1_103080_2021-12-23_final
2021-12-27 09:58:37	ga_ls7e_ard_3-2-1_108082_2021-12-27_final
2022-01-15 10:26:52	ga_ls7e_ard_3-2-1_113080_2022-01-15_final
2022-01-26 10:04:28	ga_ls7e_ard_3-2-1_110073_2022-01-26_final
2022-01-29 08:57:00	ga_ls7e_ard_3-2-1_099075_2022-01-28_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-02 08:36:16	ga_ls7e_ard_3-2-1_095086_2022-02-01_final
2022-02-14 08:55:45	ga_ls7e_ard_3-2-1_099076_2022-02-13_final
2022-02-20 09:55:22	ga_ls7e_ard_3-2-1_109072_2022-02-20_final
2022-03-03 09:36:11	ga_ls7e_ard_3-2-1_106073_2022-03-03_final
2022-03-04 08:43:39	ga_ls7e_ard_3-2-1_097081_2022-03-03_final
2022-03-06 08:32:18	ga_ls7e_ard_3-2-1_095084_2022-03-05_final
2022-03-06 08:32:42	ga_ls7e_ard_3-2-1_095085_2022-03-05_final
2022-03-06 10:09:59	ga_ls7e_ard_3-2-1_111081_2022-03-06_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 09:40:52	ga_ls7e_ard_3-2-1_107071_2022-03-10_final
2022-03-11 08:45:57	ga_ls7e_ard_3-2-1_098073_2022-03-10_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-20 08:40:52	ga_ls7e_ard_3-2-1_097078_2022-03-19_final
2022-03-27 08:47:11	ga_ls7e_ard_3-2-1_098080_2022-03-26_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-04 07:56:10	ga_ls7e_ard_3-2-1_090078_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