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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKM_2015-10-28_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KWP_2015-11-25_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQL_2016-07-08_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HMK_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KUS_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPJ_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KVA_2016-08-04_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNH_2016-09-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTE_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXR_2016-12-22_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVS_2017-02-13_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KUS_2017-03-05_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMH_2017-04-07_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HNJ_2017-08-12_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KPB_2017-12-03_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JYH_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HTD_2017-12-17_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWK_2018-01-13_final
2018-01-16 11:35:56	ga_s2am_ard_3-2-1_51JTG_2018-01-16_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYM_2018-03-01_final
2018-03-18 11:05:41	ga_s2am_ard_3-2-1_51HYD_2018-03-18_final
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51HXD_2018-04-10_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HNH_2018-04-19_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KVP_2018-05-26_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50JQL_2018-08-14_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49JFN_2018-10-25_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51HYE_2018-10-27_final
2018-12-01 12:05:21	ga_s2am_ard_3-2-1_49JGK_2018-12-01_final
2019-01-24 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-01-24_final
2019-03-02 11:33:22	ga_s2am_ard_3-2-1_51KWS_2019-03-02_final
2019-04-13 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-04-13_final
2019-05-14 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-14_final
2019-06-13 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2019-06-13_final
2019-07-19 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-19_final
2019-08-09 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-08-09_final
2019-10-12 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2019-10-12_final
2020-02-14 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-02-14_final
2020-02-19 11:14:17	ga_s2am_ard_3-2-1_51JZN_2020-02-19_final
2020-02-19 11:14:23	ga_s2am_ard_3-2-1_51JYN_2020-02-19_final
2020-02-21 11:55:04	ga_s2am_ard_3-2-1_50JMR_2020-02-21_final
2020-02-21 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-02-21_final
2020-04-18 11:46:13	ga_s2am_ard_3-2-1_50JMM_2020-04-18_final
2020-04-25 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2020-04-25_final
2020-05-25 11:34:42	ga_s2am_ard_3-2-1_51JTN_2020-05-25_final
2020-05-29 11:14:29	ga_s2am_ard_3-2-1_51JZN_2020-05-29_final
2020-05-31 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-31_final
2020-06-28 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-06-28_final
2020-08-03 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-08-03_final
2020-08-03 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-03_final
2020-08-16 11:45:09	ga_s2am_ard_3-2-1_50JQR_2020-08-16_final
2020-08-16 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-08-16_final
2020-09-08 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-09-08_final
2020-10-12 11:32:20	ga_s2am_ard_3-2-1_51KWB_2020-10-12_final
2020-11-10 12:05:56	ga_s2am_ard_3-2-1_50JLN_2020-11-10_final
2020-11-18 11:24:54	ga_s2am_ard_3-2-1_51JYL_2020-11-18_final
2020-11-24 11:43:23	ga_s2am_ard_3-2-1_50KQC_2020-11-24_final
2020-11-27 11:55:47	ga_s2am_ard_3-2-1_50JKP_2020-11-27_final
2021-02-12 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-02-12_final
2021-04-10 11:34:38	ga_s2am_ard_3-2-1_51JVM_2021-04-10_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-06-02 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-02_final
2021-06-09 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-06-09_final
2021-07-08 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-07-08_final
2021-07-12 11:44:48	ga_s2am_ard_3-2-1_51JTM_2021-07-12_final
2021-08-01 11:42:38	ga_s2am_ard_3-2-1_51KVV_2021-08-01_final
2021-08-19 11:06:39	ga_s2am_ard_3-2-1_51HYD_2021-08-19_final
2021-10-14 11:26:49	ga_s2am_ard_3-2-1_51HVD_2021-10-14_final
2021-11-19 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-11-19_final
2021-12-03 11:25:30	ga_s2am_ard_3-2-1_51JVJ_2021-12-03_final
2022-02-13 12:04:06	ga_s2am_ard_3-2-1_50KMV_2022-02-13_final
2022-03-23 11:25:37	ga_s2am_ard_3-2-1_51JYH_2022-03-23_final
2022-03-29 11:47:12	ga_s2am_ard_3-2-1_50HMH_2022-03-29_final
2022-04-24 12:06:15	ga_s2am_ard_3-2-1_50JKM_2022-04-24_final
2022-05-04 12:06:15	ga_s2am_ard_3-2-1_50JKM_2022-05-04_final
2022-05-22 11:25:27	ga_s2am_ard_3-2-1_51JYJ_2022-05-22_final
2022-06-17 11:43:29	ga_s2am_ard_3-2-1_51KTT_2022-06-17_final
2022-06-17 11:44:27	ga_s2am_ard_3-2-1_50KRU_2022-06-17_final
2022-07-10 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-07-10_final
2022-07-14 11:36:36	ga_s2am_ard_3-2-1_51HVE_2022-07-14_final
2022-08-26 11:43:24	ga_s2am_ard_3-2-1_51KVT_2022-08-26_final.stac-item
2022-09-05 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-09-05_final.stac-item
2022-10-05 11:46:44	ga_s2am_ard_3-2-1_50HNK_2022-10-05_final.stac-item
2022-10-22 11:37:03	ga_s2am_ard_3-2-1_51HTC_2022-10-22_final.stac-item
2022-10-26 11:16:40	ga_s2am_ard_3-2-1_51HYD_2022-10-26_final.stac-item
2022-10-26 12:51:02	ga_s2am_ard_3-2-1_48LXP_2022-10-26_interim.stac-item
2022-11-01 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-11-01_final.stac-item
2022-12-24 11:42:40	ga_s2am_ard_3-2-1_51KVV_2022-12-24_final.stac-item
2023-01-10 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-10_final.stac-item
2023-02-19 11:32:23	ga_s2am_ard_3-2-1_51KXA_2023-02-19_final.stac-item
2023-02-28 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-02-28_final.stac-item
2023-05-06 11:53:36	ga_s2am_ard_3-2-1_50KPB_2023-05-06_final.stac-item
2023-06-05 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-05_final.stac-item
2023-06-26 11:26:36	ga_s2am_ard_3-2-1_51HUE_2023-06-26_final.stac-item
2023-07-19 11:36:22	ga_s2am_ard_3-2-1_51JUF_2023-07-19_final.stac-item
2023-07-25 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2023-07-25_final.stac-item
2024-01-12 11:26:09	ga_s2am_ard_3-2-1_51JVF_2024-01-12_final.stac-item
2024-01-12 11:26:12	ga_s2am_ard_3-2-1_51JUF_2024-01-12_final.stac-item
2024-01-25 11:32:26	ga_s2am_ard_3-2-1_51KVA_2024-01-25_final.stac-item
2024-03-08 11:43:33	ga_s2am_ard_3-2-1_51KTS_2024-03-08_final.stac-item
2024-03-14 12:05:08	ga_s2am_ard_3-2-1_50JLR_2024-03-14_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