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
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-04-27 10:41:46	ga_ls7e_ard_3-2-0_112074_2021-04-27_final
2021-05-08 10:26:18	ga_ls7e_ard_3-2-0_109084_2021-05-08_final
2021-05-19 08:25:58	ga_ls7e_ard_3-2-0_090079_2021-05-18_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-05-29 09:04:11	ga_ls7e_ard_3-2-0_096084_2021-05-28_final
2021-06-14 10:40:57	ga_ls7e_ard_3-2-0_112082_2021-06-14_final
2021-06-21 09:08:28	ga_ls7e_ard_3-2-0_097084_2021-06-20_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_final
2021-06-22 09:50:03	ga_ls7e_ard_3-2-0_104080_2021-06-22_final
2021-06-23 10:34:02	ga_ls7e_ard_3-2-0_111082_2021-06-23_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-07 09:07:08	ga_ls7e_ard_3-2-0_097084_2021-07-06_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2021-07-27 10:14:23	ga_ls7e_ard_3-2-0_109071_2021-07-27_final
2021-07-29 08:24:58	ga_ls7e_ard_3-2-0_091076_2021-07-28_final
2021-07-30 10:46:13	ga_ls7e_ard_3-2-0_114074_2021-07-30_final
2021-08-01 10:36:29	ga_ls7e_ard_3-2-0_112081_2021-08-01_final
2021-08-10 10:25:54	ga_ls7e_ard_3-2-0_111072_2021-08-10_final
2021-08-12 08:39:41	ga_ls7e_ard_3-2-0_093085_2021-08-11_final
2021-08-12 10:12:58	ga_ls7e_ard_3-2-0_109071_2021-08-12_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-08-16 09:52:17	ga_ls7e_ard_3-2-0_105082_2021-08-16_final
2021-08-21 10:10:47	ga_ls7e_ard_3-2-0_108083_2021-08-21_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-08-29 09:20:40	ga_ls7e_ard_3-2-0_100083_2021-08-28_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-09-06 08:31:19	ga_ls7e_ard_3-2-0_092085_2021-09-05_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-10 09:43:56	ga_ls7e_ard_3-2-0_104082_2021-09-10_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-09-22 10:07:59	ga_ls7e_ard_3-2-0_108083_2021-09-22_final
2021-09-30 09:13:26	ga_ls7e_ard_3-2-0_100072_2021-09-29_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-06 08:41:01	ga_ls7e_ard_3-2-0_094085_2021-10-05_final
2021-10-08 10:02:35	ga_ls7e_ard_3-2-0_108073_2021-10-08_final
2021-10-09 09:05:16	ga_ls7e_ard_3-2-0_099069_2021-10-08_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-18 09:04:41	ga_ls7e_ard_3-2-0_098085_2021-10-17_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-25 09:07:49	ga_ls7e_ard_3-2-0_099079_2021-10-24_final
2021-10-29 10:16:50	ga_ls7e_ard_3-2-0_111067_2021-10-29_final
2021-10-30 09:21:55	ga_ls7e_ard_3-2-0_102069_2021-10-29_final
2021-10-31 10:06:40	ga_ls7e_ard_3-2-0_109073_2021-10-31_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-02 08:20:50	ga_ls7e_ard_3-2-0_091087_2021-11-01_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-28 08:54:13	ga_ls7e_ard_3-2-1_097084_2021-11-27_final
2021-11-30 08:41:40	ga_ls7e_ard_3-2-1_095084_2021-11-29_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-04 08:13:47	ga_ls7e_ard_3-2-1_091077_2021-12-03_final
2021-12-05 08:56:57	ga_ls7e_ard_3-2-1_098077_2021-12-04_final
2021-12-10 09:17:01	ga_ls7e_ard_3-2-1_101082_2021-12-09_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2021-12-20 08:12:15	ga_ls7e_ard_3-2-1_091077_2021-12-19_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2022-01-03 08:27:12	ga_ls7e_ard_3-2-1_093087_2022-01-02_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-10 10:04:24	ga_ls7e_ard_3-2-1_110069_2022-01-10_final
2022-01-11 09:10:17	ga_ls7e_ard_3-2-1_101073_2022-01-10_final
2022-01-12 08:15:22	ga_ls7e_ard_3-2-1_092075_2022-01-11_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-22 08:52:18	ga_ls7e_ard_3-2-1_098077_2022-01-21_final
2022-02-06 09:48:49	ga_ls7e_ard_3-2-1_107083_2022-02-06_final
2022-02-14 08:56:33	ga_ls7e_ard_3-2-1_099078_2022-02-13_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-15 09:41:18	ga_ls7e_ard_3-2-1_106082_2022-02-15_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-21 09:03:15	ga_ls7e_ard_3-2-1_100081_2022-02-20_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-04 10:23:20	ga_ls7e_ard_3-2-1_113083_2022-03-04_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-25 09:01:20	ga_ls7e_ard_3-2-1_100084_2022-03-24_final
2022-03-26 08:06:25	ga_ls7e_ard_3-2-1_091086_2022-03-25_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years