Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JLM_2015-11-14_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KGP_2015-12-17_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50HLK_2016-08-30_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGP_2016-09-12_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-01-20_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPJ_2017-02-20_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGN_2017-04-03_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-04-10_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQJ_2017-04-21_final
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLJ_2017-04-27_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGM_2017-06-09_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLT_2017-08-05_final
2017-10-14 11:56:06	ga_s2am_ard_3-2-1_50JLL_2017-10-14_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGL_2017-10-27_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNG_2017-10-31_final.stac-item
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HLJ_2018-02-21_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHR_2018-05-18_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPJ_2018-06-15_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-04_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNL_2018-09-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JLN_2018-10-02_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPK_2018-11-02_final
2018-12-04 12:14:18	ga_s2am_ard_3-2-1_49KGP_2018-12-04_final
2018-12-08 11:56:14	ga_s2am_ard_3-2-1_50JML_2018-12-08_final
2018-12-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-12-25_final
2019-01-14 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2019-01-14_final
2019-03-22 11:36:36	ga_s2am_ard_3-2-1_50HPK_2019-03-22_final
2019-03-28 11:55:52	ga_s2am_ard_3-2-1_50JMN_2019-03-28_final
2019-04-17 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-04-17_final
2019-05-24 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-05-24_final
2019-07-06 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-06_final
2019-07-19 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-07-19_final
2019-07-29 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-29_final
2019-08-08 12:05:45	ga_s2am_ard_3-2-1_50JKP_2019-08-08_final
2019-08-22 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2019-08-22_final
2019-08-22 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-08-22_final
2019-09-08 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2019-09-08_final
2019-09-17 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-09-17_final
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-07_final
2019-10-31 11:46:16	ga_s2am_ard_3-2-1_50JMM_2019-10-31_final
2019-11-03 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-11-03_final
2019-11-09 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-11-09_final
2019-11-30 11:47:01	ga_s2am_ard_3-2-1_50HPH_2019-11-30_final
2020-01-18 12:13:52	ga_s2am_ard_3-2-1_49KGR_2020-01-18_final
2020-02-04 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2020-02-04_final
2020-03-05 12:05:47	ga_s2am_ard_3-2-1_50JLN_2020-03-05_final
2020-03-08 12:14:23	ga_s2am_ard_3-2-1_49KGP_2020-03-08_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-06-26 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-06-26_final
2020-07-27 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-07-27_final
2020-10-01 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-01_final
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final
2020-12-17 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-17_final
2021-02-09 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-02-09_final
2021-03-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-03-20_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-05-12_final
2021-05-19 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-05-19_final
2021-05-26 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-26_final
2021-06-05 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-06-05_final
2021-06-15 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-06-15_final
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-06-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-06-28_final
2021-08-01 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-08-01_final
2021-08-04 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-04_final
2021-10-23 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-23_final
2021-11-29 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-29_final
2021-12-08 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-12-08_final
2022-01-31 11:55:46	ga_s2am_ard_3-2-1_50JKP_2022-01-31_final
2022-03-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-02_final
2022-03-22 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-03-22_final
2022-05-04 12:05:46	ga_s2am_ard_3-2-1_50JKP_2022-05-04_final
2022-06-24 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-06-24_final
2022-08-25 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-08-25_final
2022-11-10 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-11-10_final.stac-item
2022-12-04 11:46:23	ga_s2am_ard_3-2-1_50JNL_2022-12-04_final.stac-item
2022-12-04 11:46:41	ga_s2am_ard_3-2-1_50HMK_2022-12-04_final.stac-item
2023-01-23 11:46:09	ga_s2am_ard_3-2-1_50JMM_2023-01-23_final.stac-item
2023-03-31 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-31_final.stac-item
2023-04-10 11:36:38	ga_s2am_ard_3-2-1_50HPK_2023-04-10_final.stac-item
2023-05-02 12:13:59	ga_s2am_ard_3-2-1_49KGR_2023-05-02_final.stac-item
2023-05-16 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-05-16_final.stac-item
2023-07-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-07-01_final.stac-item
2023-07-08 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-08_final.stac-item
2023-07-28 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-07-28_final.stac-item
2023-08-01 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-08-01_final.stac-item
2023-08-04 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-08-04_final.stac-item
2023-10-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2023-10-06_final.stac-item
2023-10-17 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-10-17_final.stac-item
2023-11-15 12:05:10	ga_s2am_ard_3-2-1_50JKR_2023-11-15_final.stac-item
2024-01-11 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2024-01-11_final.stac-item
2024-02-07 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2024-02-07_final.stac-item
2024-02-20 11:56:16	ga_s2am_ard_3-2-1_50JNL_2024-02-20_final.stac-item
2024-02-27 11:46:33	ga_s2am_ard_3-2-1_50HPK_2024-02-27_final.stac-item
2024-04-03 12:05:49	ga_s2am_ard_3-2-1_50JLN_2024-04-03_final.stac-item
2024-04-20 11:56:00	ga_s2am_ard_3-2-1_50JLN_2024-04-20_final.stac-item
2024-04-30 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2024-04-30_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years