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
2021-05-11 09:12:29	ga_ls7e_ard_3-2-0_098070_2021-05-10_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-05-20 10:49:13	ga_ls7e_ard_3-2-0_113082_2021-05-20_final
2021-05-27 09:15:07	ga_ls7e_ard_3-2-0_098080_2021-05-26_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-06-25 08:39:26	ga_ls7e_ard_3-2-0_093074_2021-06-24_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-06-28 09:14:28	ga_ls7e_ard_3-2-0_098085_2021-06-27_final
2021-06-30 08:57:33	ga_ls7e_ard_3-2-0_096074_2021-06-29_final
2021-06-30 08:58:45	ga_ls7e_ard_3-2-0_096077_2021-06-29_final
2021-07-01 09:43:55	ga_ls7e_ard_3-2-0_103082_2021-07-01_final
2021-07-13 08:28:21	ga_ls7e_ard_3-2-0_091081_2021-07-12_final
2021-07-13 10:03:14	ga_ls7e_ard_3-2-0_107071_2021-07-13_final
2021-07-22 08:22:59	ga_ls7e_ard_3-2-0_090085_2021-07-21_final
2021-07-26 09:30:49	ga_ls7e_ard_3-2-0_102070_2021-07-26_final
2021-07-26 09:32:01	ga_ls7e_ard_3-2-0_102073_2021-07-26_final
2021-08-02 09:41:10	ga_ls7e_ard_3-2-0_103082_2021-08-02_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-24 08:57:22	ga_ls7e_ard_3-2-0_097070_2021-08-23_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-04 08:43:28	ga_ls7e_ard_3-2-0_094084_2021-09-03_final
2021-09-08 08:19:11	ga_ls7e_ard_3-2-0_090086_2021-09-07_final
2021-09-14 09:15:40	ga_ls7e_ard_3-2-0_100074_2021-09-13_final
2021-09-16 09:04:20	ga_ls7e_ard_3-2-0_098077_2021-09-15_final
2021-09-16 09:06:43	ga_ls7e_ard_3-2-0_098083_2021-09-15_final
2021-09-18 08:54:59	ga_ls7e_ard_3-2-0_096085_2021-09-17_final
2021-09-23 10:48:21	ga_ls7e_ard_3-2-0_115076_2021-09-23_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-01 08:21:19	ga_ls7e_ard_3-2-0_091081_2021-09-30_final
2021-10-08 08:25:18	ga_ls7e_ard_3-2-0_092077_2021-10-07_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-17 08:18:19	ga_ls7e_ard_3-2-0_091077_2021-10-16_final
2021-10-18 10:39:34	ga_ls7e_ard_3-2-0_114075_2021-10-18_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-10-26 09:47:00	ga_ls7e_ard_3-2-0_106069_2021-10-26_final
2021-10-26 09:51:47	ga_ls7e_ard_3-2-0_106081_2021-10-26_final
2021-10-29 10:16:50	ga_ls7e_ard_3-2-0_111067_2021-10-29_final
2021-10-29 10:17:14	ga_ls7e_ard_3-2-0_111068_2021-10-29_final
2021-10-31 08:28:36	ga_ls7e_ard_3-2-0_093075_2021-10-30_final
2021-10-31 10:10:40	ga_ls7e_ard_3-2-0_109083_2021-10-31_final
2021-11-01 09:15:21	ga_ls7e_ard_3-2-0_100084_2021-10-31_final
2021-11-02 09:57:19	ga_ls7e_ard_3-2-0_107081_2021-11-02_final
2021-11-05 08:50:15	ga_ls7e_ard_3-2-0_096084_2021-11-04_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-09 08:25:33	ga_ls7e_ard_3-2-0_092085_2021-11-08_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-12 10:33:26	ga_ls7e_ard_3-2-1_113081_2021-11-12_final
2021-11-15 09:21:11	ga_ls7e_ard_3-2-1_102071_2021-11-14_final
2021-11-19 10:36:56	ga_ls7e_ard_3-2-1_114076_2021-11-19_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-12-03 09:09:06	ga_ls7e_ard_3-2-1_100076_2021-12-02_final
2021-12-04 09:51:52	ga_ls7e_ard_3-2-1_107075_2021-12-04_final
2021-12-07 08:42:48	ga_ls7e_ard_3-2-1_096073_2021-12-06_final
2021-12-07 08:47:12	ga_ls7e_ard_3-2-1_096084_2021-12-06_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-30 10:28:25	ga_ls7e_ard_3-2-1_113080_2021-12-30_final
2021-12-31 09:31:06	ga_ls7e_ard_3-2-1_104076_2021-12-31_final
2022-01-03 10:04:29	ga_ls7e_ard_3-2-1_109083_2022-01-03_final
2022-01-05 08:13:26	ga_ls7e_ard_3-2-1_091084_2022-01-04_final
2022-01-06 08:55:00	ga_ls7e_ard_3-2-1_098080_2022-01-05_final
2022-01-06 10:32:41	ga_ls7e_ard_3-2-1_114077_2022-01-06_final
2022-01-12 08:16:10	ga_ls7e_ard_3-2-1_092077_2022-01-11_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-01-28 08:15:50	ga_ls7e_ard_3-2-1_092080_2022-01-27_final
2022-01-29 09:00:11	ga_ls7e_ard_3-2-1_099083_2022-01-28_final
2022-02-10 09:18:30	ga_ls7e_ard_3-2-1_103070_2022-02-09_final
2022-02-10 09:19:18	ga_ls7e_ard_3-2-1_103072_2022-02-09_final
2022-02-10 09:22:29	ga_ls7e_ard_3-2-1_103080_2022-02-09_final
2022-02-10 09:23:17	ga_ls7e_ard_3-2-1_103082_2022-02-09_final
2022-02-15 09:36:55	ga_ls7e_ard_3-2-1_106071_2022-02-15_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-18 08:29:51	ga_ls7e_ard_3-2-1_095074_2022-02-17_final
2022-02-22 08:09:08	ga_ls7e_ard_3-2-1_091085_2022-02-21_final
2022-02-25 10:17:26	ga_ls7e_ard_3-2-1_112082_2022-02-25_final
2022-03-01 09:52:43	ga_ls7e_ard_3-2-1_108083_2022-03-01_final
2022-03-04 10:23:20	ga_ls7e_ard_3-2-1_113083_2022-03-04_final
2022-03-08 08:17:21	ga_ls7e_ard_3-2-1_093078_2022-03-07_final
2022-03-08 08:19:44	ga_ls7e_ard_3-2-1_093084_2022-03-07_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_final
2022-03-09 09:02:54	ga_ls7e_ard_3-2-1_100084_2022-03-08_final
2022-03-12 07:53:25	ga_ls7e_ard_3-2-1_089081_2022-03-11_final
2022-03-15 08:21:13	ga_ls7e_ard_3-2-1_094074_2022-03-14_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-20 08:38:04	ga_ls7e_ard_3-2-1_097071_2022-03-19_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-26 09:39:18	ga_ls7e_ard_3-2-1_107071_2022-03-26_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_final
2022-04-02 09:50:00	ga_ls7e_ard_3-2-1_108084_2022-04-02_final
2022-04-05 08:37:20	ga_ls7e_ard_3-2-1_097073_2022-04-04_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