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
2020-12-02 09:25:14	ga_ls7e_ard_3-1-0_098071_2020-12-01_final
2020-12-05 09:56:19	ga_ls7e_ard_3-1-0_103072_2020-12-05_final
2020-12-05 09:59:54	ga_ls7e_ard_3-1-0_103081_2020-12-05_final
2020-12-08 10:26:11	ga_ls7e_ard_3-1-0_108070_2020-12-08_final
2020-12-09 09:30:54	ga_ls7e_ard_3-1-0_099071_2020-12-09_final
2020-12-09 11:11:22	ga_ls7e_ard_3-1-0_115075_2020-12-09_final
2020-12-11 11:01:39	ga_ls7e_ard_3-1-0_113082_2020-12-11_final
2020-12-22 08:59:48	ga_ls7e_ard_3-1-0_094073_2020-12-21_final
2020-12-26 10:11:41	ga_ls7e_ard_3-1-0_106068_2020-12-26_final
2021-01-06 09:57:35	ga_ls7e_ard_3-1-0_103081_2021-01-06_final
2021-01-18 08:40:35	ga_ls7e_ard_3-1-0_091076_2021-01-17_final
2021-01-18 08:45:46	ga_ls7e_ard_3-1-0_091089_2021-01-17_final
2021-01-28 09:15:20	ga_ls7e_ard_3-2-0_097072_2021-01-27_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-02-12 10:13:02	ga_ls7e_ard_3-2-0_106080_2021-02-12_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-02-27 09:25:27	ga_ls7e_ard_3-2-0_099072_2021-02-26_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-11 09:48:02	ga_ls7e_ard_3-2-0_103069_2021-03-11_final
2021-03-19 08:59:33	ga_ls7e_ard_3-2-0_095073_2021-03-18_final
2021-03-25 10:04:27	ga_ls7e_ard_3-2-0_105082_2021-03-25_final
2021-03-31 09:27:17	ga_ls7e_ard_3-2-0_099083_2021-03-30_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-04-29 10:29:38	ga_ls7e_ard_3-2-0_110075_2021-04-29_final
2021-05-03 10:06:59	ga_ls7e_ard_3-2-0_106081_2021-05-03_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-10 10:10:11	ga_ls7e_ard_3-2-0_107075_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-24 08:46:52	ga_ls7e_ard_3-2-0_093086_2021-05-23_final
2021-05-31 10:23:45	ga_ls7e_ard_3-2-0_110067_2021-05-31_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-23 08:51:33	ga_ls7e_ard_3-2-0_095073_2021-06-22_final
2021-06-23 10:30:26	ga_ls7e_ard_3-2-0_111073_2021-06-23_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-07-03 09:27:00	ga_ls7e_ard_3-2-0_101071_2021-07-02_final
2021-07-04 10:10:11	ga_ls7e_ard_3-2-0_108071_2021-07-04_final
2021-07-08 09:49:31	ga_ls7e_ard_3-2-0_104082_2021-07-08_final
2021-07-11 10:20:57	ga_ls7e_ard_3-2-0_109084_2021-07-11_final
2021-07-13 10:02:50	ga_ls7e_ard_3-2-0_107070_2021-07-13_final
2021-07-16 10:38:40	ga_ls7e_ard_3-2-0_112083_2021-07-16_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-25 08:51:38	ga_ls7e_ard_3-2-0_095080_2021-07-24_final
2021-07-27 10:15:35	ga_ls7e_ard_3-2-0_109074_2021-07-27_final
2021-07-31 09:50:31	ga_ls7e_ard_3-2-0_105074_2021-07-31_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-19 10:20:07	ga_ls7e_ard_3-2-0_110075_2021-08-19_final
2021-08-22 09:10:18	ga_ls7e_ard_3-2-0_099071_2021-08-21_final
2021-08-26 10:24:54	ga_ls7e_ard_3-2-0_111073_2021-08-26_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-06 08:32:07	ga_ls7e_ard_3-2-0_092087_2021-09-05_final
2021-09-14 09:19:39	ga_ls7e_ard_3-2-0_100084_2021-09-13_final
2021-09-20 08:42:03	ga_ls7e_ard_3-2-0_094084_2021-09-19_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-17 09:56:48	ga_ls7e_ard_3-2-0_107076_2021-10-17_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-03 09:07:30	ga_ls7e_ard_3-2-1_100072_2021-12-02_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-09 10:09:56	ga_ls7e_ard_3-2-1_110075_2021-12-09_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-14 08:53:06	ga_ls7e_ard_3-2-1_097085_2021-12-13_final
2021-12-21 10:35:29	ga_ls7e_ard_3-2-1_114080_2021-12-21_final
2021-12-22 08:01:42	ga_ls7e_ard_3-2-1_089082_2021-12-21_final
2021-12-28 09:01:18	ga_ls7e_ard_3-2-1_099078_2021-12-27_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_final
2022-01-15 10:24:28	ga_ls7e_ard_3-2-1_113074_2022-01-15_final
2022-01-20 09:02:51	ga_ls7e_ard_3-2-1_100072_2022-01-19_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-24 08:42:56	ga_ls7e_ard_3-2-1_096085_2022-01-23_final
2022-02-08 09:31:04	ga_ls7e_ard_3-2-1_105070_2022-02-08_final
2022-02-14 08:52:58	ga_ls7e_ard_3-2-1_099069_2022-02-13_final
2022-02-15 09:38:54	ga_ls7e_ard_3-2-1_106076_2022-02-15_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-03 09:34:11	ga_ls7e_ard_3-2-1_106068_2022-03-03_final
2022-03-10 08:07:59	ga_ls7e_ard_3-2-1_091086_2022-03-09_final
2022-03-12 09:29:30	ga_ls7e_ard_3-2-1_105074_2022-03-11_final
2022-03-20 08:38:52	ga_ls7e_ard_3-2-1_097073_2022-03-19_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-22 10:04:48	ga_ls7e_ard_3-2-1_111072_2022-03-22_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-04-04 08:00:34	ga_ls7e_ard_3-2-1_090089_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