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
2020-12-03 10:08:49	ga_ls7e_ard_3-1-0_105072_2020-12-03_final
2020-12-09 09:35:17	ga_ls7e_ard_3-1-0_099082_2020-12-09_final
2020-12-26 08:38:00	ga_ls7e_ard_3-1-0_090081_2020-12-25_final
2020-12-30 09:49:53	ga_ls7e_ard_3-1-0_102076_2020-12-30_final
2021-01-25 08:49:51	ga_ls7e_ard_3-2-0_092085_2021-01-24_final
2021-01-25 08:50:15	ga_ls7e_ard_3-2-0_092086_2021-01-24_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-02-24 10:37:39	ga_ls7e_ard_3-2-0_110082_2021-02-24_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-03-07 08:40:58	ga_ls7e_ard_3-2-0_091086_2021-03-06_final
2021-03-07 10:14:40	ga_ls7e_ard_3-2-0_107073_2021-03-07_final
2021-03-07 10:15:28	ga_ls7e_ard_3-2-0_107075_2021-03-07_final
2021-03-08 11:00:38	ga_ls7e_ard_3-2-0_114080_2021-03-08_final
2021-03-09 10:03:44	ga_ls7e_ard_3-2-0_105077_2021-03-09_final
2021-03-11 09:50:49	ga_ls7e_ard_3-2-0_103076_2021-03-11_final
2021-03-16 10:10:34	ga_ls7e_ard_3-2-0_106080_2021-03-16_final
2021-03-16 10:11:22	ga_ls7e_ard_3-2-0_106082_2021-03-16_final
2021-03-17 09:12:28	ga_ls7e_ard_3-2-0_097074_2021-03-16_final
2021-03-26 10:47:14	ga_ls7e_ard_3-2-0_112081_2021-03-26_final
2021-04-04 09:01:50	ga_ls7e_ard_3-2-0_095082_2021-04-03_final
2021-04-06 10:23:48	ga_ls7e_ard_3-2-0_109071_2021-04-06_final
2021-04-18 09:09:02	ga_ls7e_ard_3-2-0_097072_2021-04-17_final
2021-04-24 08:33:27	ga_ls7e_ard_3-2-0_091077_2021-04-23_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-04-26 08:23:43	ga_ls7e_ard_3-2-0_089084_2021-04-25_final
2021-04-30 09:34:20	ga_ls7e_ard_3-2-0_101076_2021-04-30_final
2021-05-01 10:16:19	ga_ls7e_ard_3-2-0_108073_2021-05-01_final
2021-05-03 08:29:18	ga_ls7e_ard_3-2-0_090084_2021-05-02_final
2021-05-03 10:02:12	ga_ls7e_ard_3-2-0_106069_2021-05-03_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-05-19 10:01:39	ga_ls7e_ard_3-2-0_106071_2021-05-19_final
2021-05-22 08:57:24	ga_ls7e_ard_3-2-0_095081_2021-05-21_final
2021-05-27 10:53:12	ga_ls7e_ard_3-2-0_114078_2021-05-27_final
2021-05-28 08:19:25	ga_ls7e_ard_3-2-0_089080_2021-05-27_final
2021-05-30 09:44:58	ga_ls7e_ard_3-2-0_103078_2021-05-30_final
2021-05-31 08:47:39	ga_ls7e_ard_3-2-0_094074_2021-05-30_final
2021-06-08 09:34:27	ga_ls7e_ard_3-2-0_102069_2021-06-08_final
2021-06-12 10:52:40	ga_ls7e_ard_3-2-0_114080_2021-06-12_final
2021-06-13 08:19:41	ga_ls7e_ard_3-2-0_089084_2021-06-12_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-25 10:17:07	ga_ls7e_ard_3-2-0_109071_2021-06-25_final
2021-07-06 08:23:34	ga_ls7e_ard_3-2-0_090083_2021-07-05_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-07-22 09:59:52	ga_ls7e_ard_3-2-0_106080_2021-07-22_final
2021-07-26 09:30:25	ga_ls7e_ard_3-2-0_102069_2021-07-26_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-08-03 10:19:57	ga_ls7e_ard_3-2-0_110071_2021-08-03_final
2021-08-03 10:24:44	ga_ls7e_ard_3-2-0_110083_2021-08-03_final
2021-08-06 09:15:42	ga_ls7e_ard_3-2-0_099081_2021-08-05_final
2021-08-15 09:07:55	ga_ls7e_ard_3-2-0_098079_2021-08-14_final
2021-08-16 08:13:24	ga_ls7e_ard_3-2-0_089082_2021-08-15_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-08-22 10:52:22	ga_ls7e_ard_3-2-0_115079_2021-08-22_final
2021-08-23 09:52:40	ga_ls7e_ard_3-2-0_106069_2021-08-23_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-08-28 08:37:53	ga_ls7e_ard_3-2-0_093084_2021-08-27_final
2021-08-30 08:22:34	ga_ls7e_ard_3-2-0_091077_2021-08-29_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-15 10:01:14	ga_ls7e_ard_3-2-0_107080_2021-09-15_final
2021-09-16 09:01:08	ga_ls7e_ard_3-2-0_098069_2021-09-15_final
2021-10-02 09:00:54	ga_ls7e_ard_3-2-0_098072_2021-10-01_final
2021-10-17 09:56:24	ga_ls7e_ard_3-2-0_107075_2021-10-17_final
2021-10-17 09:59:59	ga_ls7e_ard_3-2-0_107084_2021-10-17_final
2021-10-19 08:06:58	ga_ls7e_ard_3-2-0_089080_2021-10-18_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-22 08:38:24	ga_ls7e_ard_3-2-0_094082_2021-10-21_final
2021-10-25 09:09:25	ga_ls7e_ard_3-2-0_099083_2021-10-24_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-11-16 10:03:56	ga_ls7e_ard_3-2-1_109070_2021-11-16_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-11-29 09:34:11	ga_ls7e_ard_3-2-1_104076_2021-11-29_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2021-12-22 09:39:46	ga_ls7e_ard_3-2-1_105080_2021-12-22_final
2021-12-23 08:40:28	ga_ls7e_ard_3-2-1_096071_2021-12-22_final
2021-12-25 10:11:10	ga_ls7e_ard_3-2-1_110082_2021-12-25_final
2021-12-27 08:19:20	ga_ls7e_ard_3-2-1_092081_2021-12-26_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-09 09:21:14	ga_ls7e_ard_3-2-1_103069_2022-01-08_final
2022-01-14 08:05:13	ga_ls7e_ard_3-2-1_090081_2022-01-13_final
2022-01-15 08:48:23	ga_ls7e_ard_3-2-1_097081_2022-01-14_final
2022-01-17 08:33:03	ga_ls7e_ard_3-2-1_095074_2022-01-16_final
2022-01-22 10:31:11	ga_ls7e_ard_3-2-1_114077_2022-01-22_final
2022-01-28 08:18:13	ga_ls7e_ard_3-2-1_092086_2022-01-27_final
2022-01-28 09:54:18	ga_ls7e_ard_3-2-1_108079_2022-01-28_final
2022-01-30 08:02:52	ga_ls7e_ard_3-2-1_090079_2022-01-29_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-11 10:02:03	ga_ls7e_ard_3-2-1_110071_2022-02-11_final
2022-02-21 09:00:28	ga_ls7e_ard_3-2-1_100074_2022-02-20_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-02-23 10:27:59	ga_ls7e_ard_3-2-1_114077_2022-02-23_final
2022-02-24 09:29:29	ga_ls7e_ard_3-2-1_105070_2022-02-23_final
2022-03-11 08:45:57	ga_ls7e_ard_3-2-1_098073_2022-03-10_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_2022-03-31_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