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
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-03-25 08:24:47	ga_ls7e_ard_3-2-0_089080_2021-03-24_final
2021-03-28 10:35:07	ga_ls7e_ard_3-2-0_110082_2021-03-28_final
2021-04-01 08:31:59	ga_ls7e_ard_3-2-0_090084_2021-03-31_final
2021-04-02 09:15:10	ga_ls7e_ard_3-2-0_097084_2021-04-01_final
2021-04-09 09:15:59	ga_ls7e_ard_3-2-0_098072_2021-04-08_final
2021-04-13 10:30:12	ga_ls7e_ard_3-2-0_110073_2021-04-13_final
2021-04-15 10:18:28	ga_ls7e_ard_3-2-0_108075_2021-04-15_final
2021-04-20 09:00:30	ga_ls7e_ard_3-2-0_095082_2021-04-19_final
2021-04-29 10:32:26	ga_ls7e_ard_3-2-0_110082_2021-04-29_final
2021-05-10 10:09:47	ga_ls7e_ard_3-2-0_107074_2021-05-10_final
2021-05-14 09:42:20	ga_ls7e_ard_3-2-0_103068_2021-05-14_final
2021-05-18 09:18:53	ga_ls7e_ard_3-2-0_099072_2021-05-17_final
2021-05-18 09:22:52	ga_ls7e_ard_3-2-0_099082_2021-05-17_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-12 10:51:52	ga_ls7e_ard_3-2-0_114078_2021-06-12_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-07-02 08:46:13	ga_ls7e_ard_3-2-0_094077_2021-07-01_final
2021-07-06 09:58:27	ga_ls7e_ard_3-2-0_106073_2021-07-06_final
2021-07-07 09:07:08	ga_ls7e_ard_3-2-0_097084_2021-07-06_final
2021-07-11 08:40:53	ga_ls7e_ard_3-2-0_093081_2021-07-10_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-22 08:22:59	ga_ls7e_ard_3-2-0_090085_2021-07-21_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-16 08:13:00	ga_ls7e_ard_3-2-0_089081_2021-08-15_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-09-01 09:50:54	ga_ls7e_ard_3-2-0_105082_2021-09-01_final
2021-09-06 08:28:08	ga_ls7e_ard_3-2-0_092077_2021-09-05_final
2021-09-16 10:42:00	ga_ls7e_ard_3-2-0_114074_2021-09-16_final
2021-09-20 10:15:44	ga_ls7e_ard_3-2-0_110071_2021-09-20_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-09-28 09:25:10	ga_ls7e_ard_3-2-0_102070_2021-09-27_final
2021-10-01 08:20:31	ga_ls7e_ard_3-2-0_091079_2021-09-30_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-14 09:23:22	ga_ls7e_ard_3-2-0_102069_2021-10-13_final
2021-10-18 09:03:53	ga_ls7e_ard_3-2-0_098083_2021-10-17_final
2021-10-25 09:09:49	ga_ls7e_ard_3-2-0_099084_2021-10-24_final
2021-10-26 09:51:47	ga_ls7e_ard_3-2-0_106081_2021-10-26_final
2021-10-30 09:22:43	ga_ls7e_ard_3-2-0_102071_2021-10-29_final
2021-11-05 08:45:28	ga_ls7e_ard_3-2-0_096072_2021-11-04_final
2021-11-05 08:50:15	ga_ls7e_ard_3-2-0_096084_2021-11-04_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-13 09:35:44	ga_ls7e_ard_3-2-1_104076_2021-11-13_final
2021-11-16 10:05:08	ga_ls7e_ard_3-2-1_109073_2021-11-16_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-11-30 08:42:28	ga_ls7e_ard_3-2-1_095086_2021-11-29_final
2021-12-02 08:26:20	ga_ls7e_ard_3-2-1_093077_2021-12-01_final
2021-12-04 08:15:23	ga_ls7e_ard_3-2-1_091081_2021-12-03_final
2021-12-05 10:35:50	ga_ls7e_ard_3-2-1_114077_2021-12-05_final
2021-12-11 09:55:47	ga_ls7e_ard_3-2-1_108071_2021-12-11_final
2021-12-13 08:09:09	ga_ls7e_ard_3-2-1_090083_2021-12-12_final
2021-12-13 09:44:02	ga_ls7e_ard_3-2-1_106073_2021-12-13_final
2021-12-13 09:45:38	ga_ls7e_ard_3-2-1_106077_2021-12-13_final
2021-12-16 08:36:10	ga_ls7e_ard_3-2-1_095074_2021-12-15_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2021-12-27 09:57:49	ga_ls7e_ard_3-2-1_108080_2021-12-27_final
2021-12-28 09:02:30	ga_ls7e_ard_3-2-1_099081_2021-12-27_final
2021-12-29 08:07:58	ga_ls7e_ard_3-2-1_090084_2021-12-28_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-06 08:55:00	ga_ls7e_ard_3-2-1_098080_2022-01-05_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-13 10:37:01	ga_ls7e_ard_3-2-1_115074_2022-01-13_final
2022-01-14 08:04:01	ga_ls7e_ard_3-2-1_090078_2022-01-13_final
2022-01-14 08:05:13	ga_ls7e_ard_3-2-1_090081_2022-01-13_final
2022-01-14 09:41:18	ga_ls7e_ard_3-2-1_106074_2022-01-14_final
2022-01-15 08:47:35	ga_ls7e_ard_3-2-1_097079_2022-01-14_final
2022-01-24 10:20:37	ga_ls7e_ard_3-2-1_112082_2022-01-24_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-02-02 08:31:29	ga_ls7e_ard_3-2-1_095074_2022-02-01_final
2022-02-02 10:13:57	ga_ls7e_ard_3-2-1_111083_2022-02-02_final
2022-02-08 09:31:28	ga_ls7e_ard_3-2-1_105071_2022-02-08_final
2022-02-16 10:23:40	ga_ls7e_ard_3-2-1_113080_2022-02-16_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-02-23 10:27:11	ga_ls7e_ard_3-2-1_114075_2022-02-23_final
2022-02-26 09:21:43	ga_ls7e_ard_3-2-1_103082_2022-02-25_final
2022-03-11 08:48:21	ga_ls7e_ard_3-2-1_098079_2022-03-10_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-19 07:58:06	ga_ls7e_ard_3-2-1_090079_2022-03-18_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-22 08:30:43	ga_ls7e_ard_3-2-1_095084_2022-03-21_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_final
2022-04-02 09:49:36	ga_ls7e_ard_3-2-1_108083_2022-04-02_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