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 09:54:03	ga_ls7e_ard_3-2-0_104070_2021-03-18_final
2021-05-27 09:13:55	ga_ls7e_ard_3-2-0_098077_2021-05-26_final
2021-05-28 09:57:53	ga_ls7e_ard_3-2-0_105079_2021-05-28_final
2021-05-29 08:58:36	ga_ls7e_ard_3-2-0_096070_2021-05-28_final
2021-05-29 09:04:35	ga_ls7e_ard_3-2-0_096085_2021-05-28_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-06-25 10:17:07	ga_ls7e_ard_3-2-0_109071_2021-06-25_final
2021-06-27 08:30:06	ga_ls7e_ard_3-2-0_091082_2021-06-26_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-02 08:45:02	ga_ls7e_ard_3-2-0_094074_2021-07-01_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-07-25 10:32:06	ga_ls7e_ard_3-2-0_111084_2021-07-25_final
2021-07-28 09:23:04	ga_ls7e_ard_3-2-0_100082_2021-07-27_final
2021-07-28 09:23:28	ga_ls7e_ard_3-2-0_100083_2021-07-27_final
2021-07-29 10:01:51	ga_ls7e_ard_3-2-0_107071_2021-07-29_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-07-30 09:05:45	ga_ls7e_ard_3-2-0_098070_2021-07-29_final
2021-07-30 09:06:09	ga_ls7e_ard_3-2-0_098071_2021-07-29_final
2021-08-05 10:07:01	ga_ls7e_ard_3-2-0_108070_2021-08-05_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-11 09:31:00	ga_ls7e_ard_3-2-0_102074_2021-08-11_final
2021-08-12 08:36:29	ga_ls7e_ard_3-2-0_093077_2021-08-11_final
2021-08-12 10:13:46	ga_ls7e_ard_3-2-0_109073_2021-08-12_final
2021-08-14 10:02:25	ga_ls7e_ard_3-2-0_107076_2021-08-14_final
2021-08-16 08:13:48	ga_ls7e_ard_3-2-0_089083_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-08-26 10:28:30	ga_ls7e_ard_3-2-0_111082_2021-08-26_final
2021-08-31 09:03:20	ga_ls7e_ard_3-2-0_098071_2021-08-30_final
2021-09-04 10:18:21	ga_ls7e_ard_3-2-0_110074_2021-09-04_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-08 09:51:41	ga_ls7e_ard_3-2-0_106070_2021-09-08_final
2021-09-13 10:09:47	ga_ls7e_ard_3-2-0_109070_2021-09-13_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-09-22 10:02:24	ga_ls7e_ard_3-2-0_108069_2021-09-22_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-09-24 08:17:22	ga_ls7e_ard_3-2-0_090085_2021-09-23_final
2021-09-24 09:51:51	ga_ls7e_ard_3-2-0_106074_2021-09-24_final
2021-09-25 08:58:08	ga_ls7e_ard_3-2-0_097079_2021-09-24_final
2021-10-01 10:00:36	ga_ls7e_ard_3-2-0_107082_2021-10-01_final
2021-10-06 10:14:43	ga_ls7e_ard_3-2-0_110072_2021-10-06_final
2021-10-17 09:56:24	ga_ls7e_ard_3-2-0_107075_2021-10-17_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-10-19 09:41:28	ga_ls7e_ard_3-2-0_105069_2021-10-19_final
2021-10-22 08:35:12	ga_ls7e_ard_3-2-0_094074_2021-10-21_final
2021-10-22 10:11:17	ga_ls7e_ard_3-2-0_110067_2021-10-22_final
2021-10-24 10:05:08	ga_ls7e_ard_3-2-0_108083_2021-10-24_final
2021-10-25 09:06:14	ga_ls7e_ard_3-2-0_099075_2021-10-24_final
2021-10-25 10:45:30	ga_ls7e_ard_3-2-0_115076_2021-10-25_final
2021-10-30 09:22:19	ga_ls7e_ard_3-2-0_102070_2021-10-29_final
2021-10-30 09:22:43	ga_ls7e_ard_3-2-0_102071_2021-10-29_final
2021-11-05 08:45:28	ga_ls7e_ard_3-2-0_096072_2021-11-04_final
2021-11-07 10:16:11	ga_ls7e_ard_3-2-0_110083_2021-11-07_final
2021-11-08 09:16:05	ga_ls7e_ard_3-2-0_101072_2021-11-07_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-15 09:22:23	ga_ls7e_ard_3-2-1_102074_2021-11-14_final
2021-11-17 09:13:01	ga_ls7e_ard_3-2-1_100082_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-27 09:45:56	ga_ls7e_ard_3-2-1_106074_2021-11-27_final
2021-12-02 08:26:44	ga_ls7e_ard_3-2-1_093078_2021-12-01_final
2021-12-02 10:07:12	ga_ls7e_ard_3-2-1_109082_2021-12-02_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-05 08:54:09	ga_ls7e_ard_3-2-1_098070_2021-12-04_final
2021-12-10 09:17:24	ga_ls7e_ard_3-2-1_101083_2021-12-09_final
2021-12-14 08:50:19	ga_ls7e_ard_3-2-1_097078_2021-12-13_final
2021-12-20 08:15:03	ga_ls7e_ard_3-2-1_091084_2021-12-19_final
2021-12-22 09:36:11	ga_ls7e_ard_3-2-1_105071_2021-12-22_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2021-12-25 10:07:35	ga_ls7e_ard_3-2-1_110073_2021-12-25_final
2021-12-27 08:20:56	ga_ls7e_ard_3-2-1_092085_2021-12-26_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2021-12-28 09:03:17	ga_ls7e_ard_3-2-1_099083_2021-12-27_final
2021-12-31 09:28:42	ga_ls7e_ard_3-2-1_104070_2021-12-30_final
2022-01-08 08:39:16	ga_ls7e_ard_3-2-1_096072_2022-01-07_final
2022-01-11 09:11:05	ga_ls7e_ard_3-2-1_101075_2022-01-10_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-17 08:36:38	ga_ls7e_ard_3-2-1_095083_2022-01-16_final
2022-01-19 08:25:41	ga_ls7e_ard_3-2-1_093087_2022-01-18_final
2022-01-25 09:20:07	ga_ls7e_ard_3-2-1_103070_2022-01-24_final
2022-01-27 09:11:57	ga_ls7e_ard_3-2-1_101081_2022-01-26_final
2022-02-05 09:01:40	ga_ls7e_ard_3-2-1_100073_2022-02-04_final
2022-02-05 09:06:04	ga_ls7e_ard_3-2-1_100084_2022-02-04_final
2022-02-16 08:41:35	ga_ls7e_ard_3-2-1_097072_2022-02-15_final
2022-02-18 10:07:55	ga_ls7e_ard_3-2-1_111072_2022-02-18_final
2022-02-20 08:22:29	ga_ls7e_ard_3-2-1_093087_2022-02-19_final
2022-02-28 09:09:34	ga_ls7e_ard_3-2-1_101083_2022-02-27_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-04 08:39:16	ga_ls7e_ard_3-2-1_097070_2022-03-03_final
2022-03-08 08:15:45	ga_ls7e_ard_3-2-1_093074_2022-03-07_final
2022-03-10 08:07:35	ga_ls7e_ard_3-2-1_091085_2022-03-09_final
2022-03-10 09:42:28	ga_ls7e_ard_3-2-1_107075_2022-03-10_final
2022-03-13 08:32:35	ga_ls7e_ard_3-2-1_096071_2022-03-12_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_2022-03-24_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_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