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
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53HME_2016-01-29_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51HTE_2016-05-26_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-06-07_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JQL_2016-07-07_final.stac-item
2017-03-21 10:22:59	ga_s2am_ard_3-2-1_53JQL_2017-03-21_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JNR_2017-03-25_final
2017-05-03 10:32:13	ga_s2am_ard_3-2-1_53JQN_2017-05-03_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYN_2017-06-27_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JFS_2017-10-06_final
2017-11-21 11:07:09	ga_s2am_ard_3-2-1_52LFJ_2017-11-21_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXU_2018-01-26_final
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53JNF_2018-04-28_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KNA_2018-05-25_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KWT_2018-09-13_final
2018-11-12 11:36:56	ga_s2am_ard_3-2-1_51HTC_2018-11-12_final
2018-12-14 10:33:55	ga_s2am_ard_3-2-1_53JQN_2018-12-14_final
2019-01-12 11:00:26	ga_s2am_ard_3-2-1_52LHN_2019-01-12_final
2019-02-20 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-02-20_final
2019-03-15 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-03-15_final
2019-03-16 11:15:39	ga_s2am_ard_3-2-1_51JXH_2019-03-16_final
2019-06-11 11:06:40	ga_s2am_ard_3-2-1_51HYD_2019-06-11_final
2019-08-02 11:43:16	ga_s2am_ard_3-2-1_51KVT_2019-08-02_final
2019-08-05 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-08-05_final.stac-item
2019-08-11 10:36:06	ga_s2am_ard_3-2-1_53HPE_2019-08-11_final
2019-11-30 11:43:17	ga_s2am_ard_3-2-1_51KTT_2019-11-30_final
2019-12-30 11:42:22	ga_s2am_ard_3-2-1_51KVA_2019-12-30_final
2020-01-02 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-02_final
2020-01-05 10:26:35	ga_s2am_ard_3-2-1_53HNC_2020-01-05_final
2020-01-26 11:33:27	ga_s2am_ard_3-2-1_51KUS_2020-01-26_final
2020-01-28 10:34:11	ga_s2am_ard_3-2-1_53JQM_2020-01-28_final
2020-02-04 10:24:32	ga_s2am_ard_3-2-1_53JQL_2020-02-04_final
2020-02-07 10:33:55	ga_s2am_ard_3-2-1_53JQN_2020-02-07_final
2020-03-09 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-09_final
2020-05-18 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-05-18_final.stac-item
2020-05-26 11:04:30	ga_s2am_ard_3-2-1_52JGS_2020-05-26_final
2020-06-06 10:35:58	ga_s2am_ard_3-2-1_53JNF_2020-06-06_final
2020-06-24 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-06-24_final
2020-07-13 10:26:40	ga_s2am_ard_3-2-1_53HPC_2020-07-13_final
2020-07-25 11:06:05	ga_s2am_ard_3-2-1_52JEL_2020-07-25_final
2020-09-12 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2020-09-12_final
2020-11-24 11:42:15	ga_s2am_ard_3-2-1_51KVB_2020-11-24_final
2020-12-05 11:16:35	ga_s2am_ard_3-2-1_51HYD_2020-12-05_final
2020-12-08 11:21:56	ga_s2am_ard_3-2-1_51LYC_2020-12-08_final
2021-01-04 11:14:09	ga_s2am_ard_3-2-1_51KZP_2021-01-04_final
2021-02-09 11:32:49	ga_s2am_ard_3-2-1_51KYU_2021-02-09_final
2021-02-16 11:22:21	ga_s2am_ard_3-2-1_52KBF_2021-02-16_final
2021-02-22 11:41:55	ga_s2am_ard_3-2-1_51LWC_2021-02-22_final
2021-03-02 11:01:02	ga_s2am_ard_3-2-1_52LGL_2021-03-02_final
2021-03-31 11:33:28	ga_s2am_ard_3-2-1_51KVS_2021-03-31_final
2021-04-14 11:14:17	ga_s2am_ard_3-2-1_51JZN_2021-04-14_final
2021-04-30 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2021-04-30_final
2021-06-19 11:33:16	ga_s2am_ard_3-2-1_51KVT_2021-06-19_final
2021-07-19 11:35:40	ga_s2am_ard_3-2-1_50JQP_2021-07-19_final
2021-07-28 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-07-28_final
2021-07-31 12:15:14	ga_s2am_ard_3-2-1_49JGL_2021-07-31_final
2021-08-01 11:43:18	ga_s2am_ard_3-2-1_51KUT_2021-08-01_final
2021-08-01 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-01_final
2021-11-22 11:54:48	ga_s2am_ard_3-2-1_50JPS_2021-11-22_final
2021-12-06 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-12-06_final
2021-12-27 11:01:19	ga_s2am_ard_3-2-1_52LGK_2021-12-27_final
2021-12-31 10:46:00	ga_s2am_ard_3-2-1_53JKF_2021-12-31_final
2022-01-14 10:24:20	ga_s2am_ard_3-2-1_53JRM_2022-01-14_final
2022-01-17 10:35:00	ga_s2am_ard_3-2-1_53JNK_2022-01-17_final
2022-01-19 11:14:31	ga_s2am_ard_3-2-1_52JDS_2022-01-19_final
2022-03-06 11:33:49	ga_s2am_ard_3-2-1_51KVR_2022-03-06_final
2022-04-04 12:04:55	ga_s2am_ard_3-2-1_50JLS_2022-04-04_final
2022-04-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-04-05_final
2022-04-19 11:14:33	ga_s2am_ard_3-2-1_51JYN_2022-04-19_final
2022-05-04 10:24:24	ga_s2am_ard_3-2-1_53JRM_2022-05-04_final
2022-05-31 11:56:01	ga_s2am_ard_3-2-1_50JMN_2022-05-31_final
2022-06-01 11:26:37	ga_s2am_ard_3-2-1_51HVE_2022-06-01_final
2022-07-16 10:34:30	ga_s2am_ard_3-2-1_53JQM_2022-07-16_final
2022-08-09 11:57:35	ga_s2am_ard_3-2-1_50HLG_2022-08-09_final.stac-item
2022-11-24 11:43:11	ga_s2am_ard_3-2-1_51KVT_2022-11-24_final.stac-item
2023-01-23 11:42:24	ga_s2am_ard_3-2-1_51KVA_2023-01-23_final.stac-item
2023-02-22 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-02-22_final.stac-item
2023-03-11 11:31:00	ga_s2am_ard_3-2-1_52LBL_2023-03-11_final.stac-item
2023-03-16 10:46:21	ga_s2am_ard_3-2-1_53HLD_2023-03-16_final.stac-item
2023-04-03 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-04-03_final.stac-item
2023-04-19 10:26:53	ga_s2am_ard_3-2-1_53HNB_2023-04-19_final.stac-item
2023-04-19 10:27:00	ga_s2am_ard_3-2-1_53HQA_2023-04-19_final.stac-item
2023-04-25 10:46:05	ga_s2am_ard_3-2-1_53HME_2023-04-25_final.stac-item
2023-04-26 11:57:14	ga_s2am_ard_3-2-1_49HGC_2023-04-26_nrt.stac-item
2023-05-10 11:35:50	ga_s2am_ard_3-2-1_50JQN_2023-05-10_final.stac-item
2023-06-18 10:24:55	ga_s2am_ard_3-2-1_53JQK_2023-06-18_final.stac-item
2023-06-20 11:03:09	ga_s2am_ard_3-2-1_52KEC_2023-06-20_final.stac-item
2023-07-13 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2023-07-13_final.stac-item
2023-10-02 10:46:08	ga_s2am_ard_3-2-1_53HME_2023-10-02_final.stac-item
2023-10-31 11:14:28	ga_s2am_ard_3-2-1_51JYN_2023-10-31_final.stac-item
2023-11-15 10:26:16	ga_s2am_ard_3-2-1_53HQD_2023-11-15_final.stac-item
2023-11-25 10:26:41	ga_s2am_ard_3-2-1_53HQB_2023-11-25_final.stac-item
2023-12-26 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-12-26_final.stac-item
2023-12-29 11:42:57	ga_s2am_ard_3-2-1_51KUU_2023-12-29_final.stac-item
2024-01-25 11:35:53	ga_s2am_ard_3-2-1_51JUG_2024-01-25_final.stac-item
2024-01-27 10:34:09	ga_s2am_ard_3-2-1_53JRM_2024-01-27_final.stac-item
2024-02-18 11:10:23	ga_s2am_ard_3-2-1_52LHN_2024-02-18_final.stac-item
2024-02-27 11:40:56	ga_s2am_ard_3-2-1_51LWG_2024-02-27_final.stac-item
2024-03-24 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2024-03-24_final.stac-item
2024-03-28 11:43:15	ga_s2am_ard_3-2-1_51KUT_2024-03-28_final.stac-item
2024-04-06 12:14:19	ga_s2am_ard_3-2-1_49KHP_2024-04-06_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

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