Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-10-01 10:31:35	ga_s2am_ard_3-2-1_53KPP_2015-10-01_final.stac-item
2015-10-07 10:52:22	ga_s2am_ard_3-2-1_53KLU_2015-10-07_final.stac-item
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KGR_2015-11-20_final.stac-item
2016-02-14 10:55:29	ga_s2am_ard_3-2-1_53JKG_2016-02-14_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLR_2016-05-15_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52KHE_2016-10-01_final.stac-item
2016-11-29 11:16:57	ga_s2am_ard_3-2-1_51KXS_2016-11-29_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52LHM_2016-12-23_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_51HYD_2017-02-04_final.stac-item
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JEN_2017-05-12_final.stac-item
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_53JRN_2017-05-23_final.stac-item
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52KEV_2017-07-11_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_50KKA_2017-11-29_final.stac-item
2018-01-05 10:26:30	ga_s2am_ard_3-2-1_53HQB_2018-01-05_final.stac-item
2018-01-18 10:27:01	ga_s2am_ard_3-2-1_53KQA_2018-01-18_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51LZC_2018-01-26_final.stac-item
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51LVC_2018-02-18_final.stac-item
2018-04-08 10:27:08	ga_s2am_ard_3-2-1_53HME_2018-04-08_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KXP_2018-05-26_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KUT_2018-05-29_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWT_2018-06-05_final.stac-item
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KDV_2018-06-26_final.stac-item
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_53HLD_2018-07-27_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KWA_2018-08-17_final.stac-item
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53KPP_2018-10-28_final.stac-item
2018-12-19 11:26:31	ga_s2am_ard_3-2-1_51HWD_2018-12-19_final.stac-item
2019-01-03 10:33:43	ga_s2am_ard_3-2-1_53KQP_2019-01-03_final.stac-item
2019-02-15 10:44:06	ga_s2am_ard_3-2-1_53JMN_2019-02-15_final.stac-item
2019-03-02 11:31:55	ga_s2am_ard_3-2-1_51LWC_2019-03-02_final.stac-item
2019-03-04 10:34:09	ga_s2am_ard_3-2-1_53JRM_2019-03-04_final.stac-item
2019-03-16 11:15:15	ga_s2am_ard_3-2-1_52JCP_2019-03-16_final.stac-item
2019-03-22 11:33:14	ga_s2am_ard_3-2-1_51KVT_2019-03-22_final.stac-item
2019-06-30 11:33:17	ga_s2am_ard_3-2-1_51KWT_2019-06-30_final.stac-item
2019-07-20 11:33:18	ga_s2am_ard_3-2-1_51KWT_2019-07-20_final.stac-item
2019-08-09 11:33:17	ga_s2am_ard_3-2-1_51KWT_2019-08-09_final.stac-item
2019-08-11 10:36:14	ga_s2am_ard_3-2-1_53HME_2019-08-11_final.stac-item
2019-08-29 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2019-08-29_final.stac-item
2019-08-29 11:34:06	ga_s2am_ard_3-2-1_51KXP_2019-08-29_final.stac-item
2019-09-11 11:43:13	ga_s2am_ard_3-2-1_51KUT_2019-09-11_final.stac-item
2019-09-30 10:34:16	ga_s2am_ard_3-2-1_53JRM_2019-09-30_final.stac-item
2019-11-09 10:37:01	ga_s2am_ard_3-2-1_53HPA_2019-11-09_final.stac-item
2019-12-19 10:36:40	ga_s2am_ard_3-2-1_53HPB_2019-12-19_final.stac-item
2019-12-21 11:14:23	ga_s2am_ard_3-2-1_51JYN_2019-12-21_final.stac-item
2020-01-29 11:42:53	ga_s2am_ard_3-2-1_51KUU_2020-01-29_final.stac-item
2020-02-11 11:55:31	ga_s2am_ard_3-2-1_50JMP_2020-02-11_final.stac-item
2020-03-19 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-19_final.stac-item
2020-06-16 10:36:16	ga_s2am_ard_3-2-1_53HME_2020-06-16_final.stac-item
2020-06-27 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-06-27_final.stac-item
2020-09-08 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-09-08_final.stac-item
2020-09-11 10:24:22	ga_s2am_ard_3-2-1_53JRM_2020-09-11_final.stac-item
2020-12-03 10:34:03	ga_s2am_ard_3-2-1_53JQN_2020-12-03_final.stac-item
2020-12-10 10:26:43	ga_s2am_ard_3-2-1_53HQB_2020-12-10_final.stac-item
2020-12-22 11:05:37	ga_s2am_ard_3-2-1_52JFM_2020-12-22_final.stac-item
2021-02-11 10:34:31	ga_s2am_ard_3-2-1_53JQL_2021-02-11_final.stac-item
2021-02-26 11:26:32	ga_s2am_ard_3-2-1_51HUE_2021-02-26_final.stac-item
2021-03-01 11:34:45	ga_s2am_ard_3-2-1_51JWM_2021-03-01_final.stac-item
2021-03-10 10:26:07	ga_s2am_ard_3-2-1_53HPE_2021-03-10_final.stac-item
2021-03-31 11:33:13	ga_s2am_ard_3-2-1_51KVT_2021-03-31_final.stac-item
2021-04-09 10:25:01	ga_s2am_ard_3-2-1_53JQJ_2021-04-09_final.stac-item
2021-04-29 10:26:44	ga_s2am_ard_3-2-1_53HQB_2021-04-29_final.stac-item
2021-06-19 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-06-19_final.stac-item
2021-09-09 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-09-09_final.stac-item
2021-09-17 11:33:18	ga_s2am_ard_3-2-1_51KVT_2021-09-17_final.stac-item
2021-11-29 11:43:29	ga_s2am_ard_3-2-1_51KUS_2021-11-29_final.stac-item
2021-12-31 10:44:22	ga_s2am_ard_3-2-1_53JNM_2021-12-31_final.stac-item
2022-01-16 11:06:11	ga_s2am_ard_3-2-1_52JBL_2022-01-16_final.stac-item
2022-02-08 11:12:34	ga_s2am_ard_3-2-1_52KDE_2022-02-08_final.stac-item
2022-04-01 11:56:28	ga_s2am_ard_3-2-1_50JLL_2022-04-01_final.stac-item
2022-05-12 11:26:15	ga_s2am_ard_3-2-1_51JWF_2022-05-12_final.stac-item
2022-05-16 11:04:01	ga_s2am_ard_3-2-1_52KGU_2022-05-16_final.stac-item
2022-05-17 10:34:23	ga_s2am_ard_3-2-1_53JQM_2022-05-17_final.stac-item
2022-05-21 11:54:51	ga_s2am_ard_3-2-1_50JLT_2022-05-21_final.stac-item
2022-06-03 10:26:15	ga_s2am_ard_3-2-1_53HPE_2022-06-03_final.stac-item
2022-09-06 11:16:02	ga_s2am_ard_3-2-1_52JBM_2022-09-06_final.stac-item
2022-10-07 10:44:13	ga_s2am_ard_3-2-1_53JNN_2022-10-07_final.stac-item
2022-10-11 10:25:11	ga_s2am_ard_3-2-1_53JQJ_2022-10-11_final.stac-item
2022-11-11 11:33:31	ga_s2am_ard_3-2-1_51KWS_2022-11-11_final.stac-item
2022-11-11 11:33:45	ga_s2am_ard_3-2-1_51KWR_2022-11-11_final.stac-item
2022-11-25 11:13:39	ga_s2am_ard_3-2-1_51KZR_2022-11-25_final.stac-item
2022-12-03 10:33:53	ga_s2am_ard_3-2-1_53KPP_2022-12-03_final.stac-item
2022-12-15 11:13:33	ga_s2am_ard_3-2-1_52KDA_2022-12-15_final.stac-item
2022-12-26 10:42:55	ga_s2am_ard_3-2-1_53KMT_2022-12-26_final.stac-item
2022-12-27 11:55:58	ga_s2am_ard_3-2-1_50JKN_2022-12-27_final.stac-item
2023-01-11 11:02:37	ga_s2am_ard_3-2-1_52KFD_2023-01-11_final.stac-item
2023-01-27 11:23:19	ga_s2am_ard_3-2-1_51KZS_2023-01-27_final.stac-item
2023-02-10 11:01:54	ga_s2am_ard_3-2-1_53KKB_2023-02-10_final.stac-item
2023-03-25 11:15:35	ga_s2am_ard_3-2-1_52JBN_2023-03-25_final
2023-05-26 10:17:08	ga_s2am_ard_3-2-1_53HQA_2023-05-26_final
2023-08-08 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-08-08_final
2023-08-19 11:06:33	ga_s2am_ard_3-2-1_52HBK_2023-08-19_final
2023-08-28 11:33:08	ga_s2am_ard_3-2-1_51KYT_2023-08-28_final
2023-08-30 10:34:38	ga_s2am_ard_3-2-1_53JQL_2023-08-30_final
2023-09-03 11:55:11	ga_s2am_ard_3-2-1_50JNR_2023-09-03_final
2023-10-23 10:16:52	ga_s2am_ard_3-2-1_53HQB_2023-10-23_final
2023-11-17 11:05:06	ga_s2am_ard_3-2-1_52JEP_2023-11-17_final
2023-11-28 10:34:18	ga_s2am_ard_3-2-1_53JNM_2023-11-28_final
2024-03-23 10:56:05	ga_s2am_ard_3-2-1_52JEL_2024-03-23_final
2024-03-25 11:32:59	ga_s2am_ard_3-2-1_51KWU_2024-03-25_final
2024-04-06 10:31:48	ga_s2am_ard_3-2-1_53KRB_2024-04-06_final
2024-04-19 10:46:03	ga_s2am_ard_3-2-1_52JGL_2024-04-19_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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