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
2021-02-07 09:52:53	ga_ls7e_ard_3-2-0_103075_2021-02-07_final
2021-02-26 10:23:08	ga_ls7e_ard_3-2-0_108077_2021-02-26_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-01 09:14:08	ga_ls7e_ard_3-2-0_097075_2021-02-28_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-16 10:10:58	ga_ls7e_ard_3-2-0_106081_2021-03-16_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-26 09:06:46	ga_ls7e_ard_3-2-0_096077_2021-03-25_final
2021-03-30 10:20:36	ga_ls7e_ard_3-2-0_108077_2021-03-30_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-11 09:05:27	ga_ls7e_ard_3-2-0_096077_2021-04-10_final
2021-04-12 09:47:49	ga_ls7e_ard_3-2-0_103075_2021-04-12_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-13 08:53:43	ga_ls7e_ard_3-2-0_094079_2021-04-12_final
2021-04-14 09:34:06	ga_ls7e_ard_3-2-0_101072_2021-04-14_final
2021-04-20 08:59:18	ga_ls7e_ard_3-2-0_095079_2021-04-19_final
2021-04-21 09:41:17	ga_ls7e_ard_3-2-0_102076_2021-04-21_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-04-27 09:04:29	ga_ls7e_ard_3-2-0_096078_2021-04-26_final
2021-04-27 10:43:46	ga_ls7e_ard_3-2-0_112079_2021-04-27_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-05-06 08:57:34	ga_ls7e_ard_3-2-0_095078_2021-05-05_final
2021-05-07 09:39:56	ga_ls7e_ard_3-2-0_102076_2021-05-07_final
2021-05-11 10:53:46	ga_ls7e_ard_3-2-0_114076_2021-05-11_final
2021-05-20 10:46:25	ga_ls7e_ard_3-2-0_113075_2021-05-20_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-05-31 08:48:51	ga_ls7e_ard_3-2-0_094077_2021-05-30_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-06-26 09:22:12	ga_ls7e_ard_3-2-0_100073_2021-06-25_final
2021-06-27 10:07:23	ga_ls7e_ard_3-2-0_107078_2021-06-27_final
2021-07-09 08:52:13	ga_ls7e_ard_3-2-0_095078_2021-07-08_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-20 10:11:36	ga_ls7e_ard_3-2-0_108078_2021-07-20_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-03 08:43:52	ga_ls7e_ard_3-2-0_094078_2021-08-02_final
2021-08-03 10:23:08	ga_ls7e_ard_3-2-0_110079_2021-08-03_final
2021-08-10 08:49:49	ga_ls7e_ard_3-2-0_095079_2021-08-09_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-19 08:42:50	ga_ls7e_ard_3-2-0_094079_2021-08-18_final
2021-08-23 08:18:11	ga_ls7e_ard_3-2-0_090080_2021-08-22_final
2021-08-23 08:18:35	ga_ls7e_ard_3-2-0_090081_2021-08-22_final
2021-08-24 08:59:45	ga_ls7e_ard_3-2-0_097076_2021-08-23_final
2021-08-24 09:02:33	ga_ls7e_ard_3-2-0_097083_2021-08-23_final
2021-08-24 10:38:38	ga_ls7e_ard_3-2-0_113076_2021-08-24_final
2021-08-31 09:07:44	ga_ls7e_ard_3-2-0_098082_2021-08-30_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-03 09:37:10	ga_ls7e_ard_3-2-0_103079_2021-09-03_final
2021-09-04 08:40:40	ga_ls7e_ard_3-2-0_094077_2021-09-03_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-10 09:41:08	ga_ls7e_ard_3-2-0_104075_2021-09-10_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-13 08:35:17	ga_ls7e_ard_3-2-0_093081_2021-09-12_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-19 09:35:45	ga_ls7e_ard_3-2-0_103079_2021-09-19_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-04 08:50:22	ga_ls7e_ard_3-2-0_096077_2021-10-03_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-06 08:37:02	ga_ls7e_ard_3-2-0_094075_2021-10-05_final
2021-10-06 08:37:26	ga_ls7e_ard_3-2-0_094076_2021-10-05_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-10-24 10:02:44	ga_ls7e_ard_3-2-0_108077_2021-10-24_final
2021-10-24 10:03:08	ga_ls7e_ard_3-2-0_108078_2021-10-24_final
2021-11-05 10:27:08	ga_ls7e_ard_3-2-0_112079_2021-11-05_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2022-01-01 08:36:10	ga_ls7e_ard_3-2-1_095078_2021-12-31_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-19 10:01:22	ga_ls7e_ard_3-2-1_109079_2022-01-19_final
2022-02-04 10:00:11	ga_ls7e_ard_3-2-1_109080_2022-02-04_final
2022-02-09 08:37:44	ga_ls7e_ard_3-2-1_096076_2022-02-08_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-25 08:36:33	ga_ls7e_ard_3-2-1_096077_2022-02-24_final
2022-02-25 10:16:14	ga_ls7e_ard_3-2-1_112079_2022-02-25_final
2022-02-26 09:18:31	ga_ls7e_ard_3-2-1_103074_2022-02-25_final
2022-03-13 08:35:23	ga_ls7e_ard_3-2-1_096078_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_final
2022-03-20 08:39:40	ga_ls7e_ard_3-2-1_097075_2022-03-19_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_final
2022-03-29 08:33:26	ga_ls7e_ard_3-2-1_096077_2022-03-28_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_2022-03-31_final
2022-04-01 09:05:15	ga_ls7e_ard_3-2-1_101080_2022-03-31_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