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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51KVA_2015-10-22_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JFM_2016-01-09_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KVU_2016-02-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHN_2016-04-15_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-06-18_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HUD_2016-07-22_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JZN_2016-10-30_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGK_2016-11-01_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KTT_2017-05-04_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KWP_2017-06-20_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLM_2017-10-17_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JLM_2017-11-13_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVV_2017-11-20_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HQG_2018-03-07_final.stac-item
2018-06-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-06-01_final.stac-item
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVB_2018-07-18_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVP_2018-08-24_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMR_2018-08-30_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KPC_2018-09-19_final
2018-11-11 12:04:37	ga_s2am_ard_3-2-1_50JKT_2018-11-11_final
2018-11-29 11:26:38	ga_s2am_ard_3-2-1_51HUD_2018-11-29_final
2018-12-04 12:13:31	ga_s2am_ard_3-2-1_50KKB_2018-12-04_final
2018-12-22 11:32:21	ga_s2am_ard_3-2-1_51KWA_2018-12-22_final
2018-12-25 11:42:34	ga_s2am_ard_3-2-1_51KVV_2018-12-25_final
2019-01-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2019-01-11_final
2019-02-13 11:43:32	ga_s2am_ard_3-2-1_51KVR_2019-02-13_final
2019-02-19 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-19_final
2019-04-04 11:46:13	ga_s2am_ard_3-2-1_50JMM_2019-04-04_final
2019-04-14 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-04-27 11:54:15	ga_s2am_ard_3-2-1_50KMV_2019-04-27_final
2019-05-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-05-23_final
2019-06-06 11:53:19	ga_s2am_ard_3-2-1_50KQC_2019-06-06_final
2019-07-30 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2019-07-30_final
2019-08-19 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-08-19_final
2019-09-01 11:42:28	ga_s2am_ard_3-2-1_51KVA_2019-09-01_final
2019-09-27 12:04:58	ga_s2am_ard_3-2-1_50JKS_2019-09-27_final
2019-09-28 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-09-28_final
2019-11-27 11:33:27	ga_s2am_ard_3-2-1_51KWS_2019-11-27_final
2019-12-27 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2019-12-27_final
2020-01-19 11:43:19	ga_s2am_ard_3-2-1_51KVS_2020-01-19_final
2020-02-22 11:26:53	ga_s2am_ard_3-2-1_51HVC_2020-02-22_final
2020-02-28 11:42:17	ga_s2am_ard_3-2-1_51KWA_2020-02-28_final
2020-02-28 11:46:10	ga_s2am_ard_3-2-1_50JQL_2020-02-28_final
2020-03-22 11:55:52	ga_s2am_ard_3-2-1_50JLN_2020-03-22_final
2020-03-26 11:32:16	ga_s2am_ard_3-2-1_51KVB_2020-03-26_final
2020-06-27 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-06-27_final
2020-07-03 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-07-03_final
2020-07-03 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-03_final
2020-08-10 11:26:38	ga_s2am_ard_3-2-1_51HUE_2020-08-10_final
2020-08-25 12:15:25	ga_s2am_ard_3-2-1_49JGK_2020-08-25_final
2020-09-11 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-09-11_final
2020-10-21 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-21_final
2020-11-24 11:42:11	ga_s2am_ard_3-2-1_51KWB_2020-11-24_final
2020-12-14 11:43:48	ga_s2am_ard_3-2-1_50KQA_2020-12-14_final
2020-12-24 11:43:17	ga_s2am_ard_3-2-1_50KRC_2020-12-24_final
2021-02-16 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-02-16_final
2021-04-10 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-20 11:33:55	ga_s2am_ard_3-2-1_51KVQ_2021-04-20_final
2021-05-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2021-05-09_final
2021-05-26 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-05-26_final
2021-06-22 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-06-22_final
2021-06-22 11:45:00	ga_s2am_ard_3-2-1_51JTL_2021-06-22_final
2021-06-26 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2021-06-26_final
2021-07-13 11:16:26	ga_s2am_ard_3-2-1_51HYE_2021-07-13_final
2021-10-03 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final
2021-10-06 12:04:47	ga_s2am_ard_3-2-1_49JHN_2021-10-06_final
2021-12-30 11:14:39	ga_s2am_ard_3-2-1_51JZM_2021-12-30_final
2022-01-08 11:43:23	ga_s2am_ard_3-2-1_50KQC_2022-01-08_final
2022-03-02 11:56:14	ga_s2am_ard_3-2-1_50JLM_2022-03-02_final
2022-04-15 11:32:18	ga_s2am_ard_3-2-1_51KWB_2022-04-15_final
2022-04-17 12:15:23	ga_s2am_ard_3-2-1_49JGK_2022-04-17_final
2022-05-18 11:46:31	ga_s2am_ard_3-2-1_50JML_2022-05-18_final
2022-07-30 11:53:20	ga_s2am_ard_3-2-1_50KRC_2022-07-30_final
2022-08-13 11:37:10	ga_s2am_ard_3-2-1_51HUC_2022-08-13_final
2022-09-02 11:32:27	ga_s2am_ard_3-2-1_51KWB_2022-09-02_final.stac-item
2022-09-05 11:42:57	ga_s2am_ard_3-2-1_51KUV_2022-09-05_final.stac-item
2022-09-05 11:44:42	ga_s2am_ard_3-2-1_51JTN_2022-09-05_final.stac-item
2022-09-12 11:32:39	ga_s2am_ard_3-2-1_51KWA_2022-09-12_final.stac-item
2022-09-12 11:37:28	ga_s2am_ard_3-2-1_50HQG_2022-09-12_final.stac-item
2022-10-24 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-10-24_final.stac-item
2022-11-18 11:25:44	ga_s2am_ard_3-2-1_51JWH_2022-11-18_final.stac-item
2022-11-27 11:52:19	ga_s2am_ard_3-2-1_50KQG_2022-11-27_final.stac-item
2023-01-10 11:34:41	ga_s2am_ard_3-2-1_51JVM_2023-01-10_final.stac-item
2023-01-12 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-01-12_final.stac-item
2023-01-20 11:32:09	ga_s2am_ard_3-2-1_51KWB_2023-01-20_final.stac-item
2023-05-02 12:14:42	ga_s2am_ard_3-2-1_49JGN_2023-05-02_final.stac-item
2023-05-17 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2023-05-17_final.stac-item
2023-08-01 11:42:14	ga_s2am_ard_3-2-1_51KWB_2023-08-01_final.stac-item
2023-09-23 11:53:12	ga_s2am_ard_3-2-1_50KRC_2023-09-23_final.stac-item
2023-10-10 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-10-10_final.stac-item
2023-10-17 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-10-17_final.stac-item
2023-12-06 11:35:01	ga_s2am_ard_3-2-1_51JWK_2023-12-06_final.stac-item
2024-01-08 11:46:47	ga_s2am_ard_3-2-1_50HNJ_2024-01-08_final.stac-item
2024-01-12 11:24:10	ga_s2am_ard_3-2-1_51KWP_2024-01-12_final.stac-item
2024-03-28 11:43:00	ga_s2am_ard_3-2-1_51KUU_2024-03-28_final.stac-item
2024-04-14 11:34:16	ga_s2am_ard_3-2-1_51KVP_2024-04-14_final.stac-item
2024-05-17 11:42:15	ga_s2am_ard_3-2-1_51KVB_2024-05-17_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