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
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-10 09:38:21	ga_ls7e_ard_3-2-0_104068_2021-09-10_final
2021-09-20 10:15:44	ga_ls7e_ard_3-2-0_110071_2021-09-20_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-09-27 10:21:41	ga_ls7e_ard_3-2-0_111072_2021-09-27_final
2021-09-27 10:22:53	ga_ls7e_ard_3-2-0_111075_2021-09-27_final
2021-09-30 09:15:02	ga_ls7e_ard_3-2-0_100076_2021-09-29_final
2021-10-06 10:16:42	ga_ls7e_ard_3-2-0_110077_2021-10-06_final
2021-10-08 10:02:58	ga_ls7e_ard_3-2-0_108074_2021-10-08_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-13 08:46:11	ga_ls7e_ard_3-2-0_095084_2021-10-12_final
2021-10-13 08:46:35	ga_ls7e_ard_3-2-0_095085_2021-10-12_final
2021-10-13 10:21:04	ga_ls7e_ard_3-2-0_111074_2021-10-13_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-10-17 08:22:18	ga_ls7e_ard_3-2-0_091087_2021-10-16_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-10-22 10:14:29	ga_ls7e_ard_3-2-0_110075_2021-10-22_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-25 09:09:25	ga_ls7e_ard_3-2-0_099083_2021-10-24_final
2021-10-25 10:45:06	ga_ls7e_ard_3-2-0_115075_2021-10-25_final
2021-10-26 09:47:00	ga_ls7e_ard_3-2-0_106069_2021-10-26_final
2021-10-26 09:49:00	ga_ls7e_ard_3-2-0_106074_2021-10-26_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-10-27 10:35:45	ga_ls7e_ard_3-2-0_113083_2021-10-27_final
2021-10-30 09:22:19	ga_ls7e_ard_3-2-0_102070_2021-10-29_final
2021-10-31 10:05:29	ga_ls7e_ard_3-2-0_109070_2021-10-31_final
2021-11-02 08:18:03	ga_ls7e_ard_3-2-0_091080_2021-11-01_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-12 08:50:58	ga_ls7e_ard_3-2-0_097072_2021-11-11_final
2021-11-12 08:53:22	ga_ls7e_ard_3-2-0_097078_2021-11-11_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-11-21 08:46:42	ga_ls7e_ard_3-2-1_096079_2021-11-20_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-11-27 08:13:03	ga_ls7e_ard_3-2-1_090089_2021-11-26_final
2021-11-28 08:54:37	ga_ls7e_ard_3-2-1_097085_2021-11-27_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-11-30 10:15:46	ga_ls7e_ard_3-2-1_111072_2021-11-30_final
2021-12-02 08:30:19	ga_ls7e_ard_3-2-1_093087_2021-12-01_final
2021-12-03 09:07:06	ga_ls7e_ard_3-2-1_100071_2021-12-02_final
2021-12-03 09:09:06	ga_ls7e_ard_3-2-1_100076_2021-12-02_final
2021-12-04 08:18:10	ga_ls7e_ard_3-2-1_091088_2021-12-03_final
2021-12-05 08:56:57	ga_ls7e_ard_3-2-1_098077_2021-12-04_final
2021-12-11 09:56:11	ga_ls7e_ard_3-2-1_108072_2021-12-11_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-13 09:44:26	ga_ls7e_ard_3-2-1_106074_2021-12-13_final
2021-12-14 08:47:07	ga_ls7e_ard_3-2-1_097070_2021-12-13_final
2021-12-19 09:08:22	ga_ls7e_ard_3-2-1_100078_2021-12-18_final
2021-12-20 08:14:39	ga_ls7e_ard_3-2-1_091083_2021-12-19_final
2021-12-20 08:15:51	ga_ls7e_ard_3-2-1_091086_2021-12-19_final
2021-12-20 08:16:15	ga_ls7e_ard_3-2-1_091087_2021-12-19_final
2021-12-21 08:52:37	ga_ls7e_ard_3-2-1_098070_2021-12-20_final
2021-12-23 10:24:32	ga_ls7e_ard_3-2-1_112084_2021-12-23_final
2021-12-24 09:23:37	ga_ls7e_ard_3-2-1_103071_2021-12-23_final
2021-12-24 09:26:25	ga_ls7e_ard_3-2-1_103078_2021-12-23_final
2021-12-27 08:18:32	ga_ls7e_ard_3-2-1_092079_2021-12-26_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
2021-12-31 09:28:42	ga_ls7e_ard_3-2-1_104070_2021-12-30_final
2022-01-01 08:39:22	ga_ls7e_ard_3-2-1_095086_2021-12-31_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-01-19 10:00:10	ga_ls7e_ard_3-2-1_109076_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-22 08:50:18	ga_ls7e_ard_3-2-1_098072_2022-01-21_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-01 09:29:35	ga_ls7e_ard_3-2-1_104080_2022-01-31_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_final
2022-02-03 09:14:38	ga_ls7e_ard_3-2-1_102074_2022-02-02_final
2022-02-03 09:15:26	ga_ls7e_ard_3-2-1_102076_2022-02-02_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-13 09:50:17	ga_ls7e_ard_3-2-1_108073_2022-02-13_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_final
2022-02-15 09:38:06	ga_ls7e_ard_3-2-1_106074_2022-02-15_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-02-19 09:14:12	ga_ls7e_ard_3-2-1_102077_2022-02-18_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-03-02 10:32:42	ga_ls7e_ard_3-2-1_115075_2022-03-02_final
2022-03-03 09:37:47	ga_ls7e_ard_3-2-1_106077_2022-03-03_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-04 10:22:32	ga_ls7e_ard_3-2-1_113081_2022-03-04_final
2022-03-08 09:57:25	ga_ls7e_ard_3-2-1_109081_2022-03-08_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 09:41:16	ga_ls7e_ard_3-2-1_107072_2022-03-10_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_2022-03-10_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-04-02 09:50:00	ga_ls7e_ard_3-2-1_108084_2022-04-02_final
2022-04-03 08:52:41	ga_ls7e_ard_3-2-1_099080_2022-04-02_final
2022-04-04 07:58:34	ga_ls7e_ard_3-2-1_090084_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years