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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JMM_2016-04-19_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_52JGT_2016-06-23_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYL_2016-07-09_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMM_2016-09-19_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KTT_2016-12-05_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51LWC_2016-12-05_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KQC_2016-12-08_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JZN_2017-01-25_final.stac-item
2017-03-24 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-03-24_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQJ_2017-05-11_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51KXT_2017-06-27_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JLR_2017-08-08_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JDT_2017-11-08_final.stac-item
2017-12-30 11:37:45	ga_s2am_ard_3-2-1_51KWB_2017-12-30_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQB_2018-02-18_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKT_2018-04-05_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTD_2018-05-26_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JQT_2018-06-18_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HXD_2018-08-21_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVH_2018-09-30_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-10-02_final.stac-item
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51JXH_2018-10-27_final.stac-item
2018-11-09 11:25:16	ga_s2am_ard_3-2-1_51JYJ_2018-11-09_final.stac-item
2018-12-02 11:33:33	ga_s2am_ard_3-2-1_51KWR_2018-12-02_final.stac-item
2019-01-27 11:53:52	ga_s2am_ard_3-2-1_50KQV_2019-01-27_final.stac-item
2019-03-08 11:55:15	ga_s2am_ard_3-2-1_50JNQ_2019-03-08_final.stac-item
2019-04-11 11:32:21	ga_s2am_ard_3-2-1_51KVB_2019-04-11_final.stac-item
2019-04-22 11:06:27	ga_s2am_ard_3-2-1_52HBK_2019-04-22_final.stac-item
2019-04-28 11:23:05	ga_s2am_ard_3-2-1_51KXU_2019-04-28_final.stac-item
2019-06-07 11:25:59	ga_s2am_ard_3-2-1_51JWG_2019-06-07_final.stac-item
2019-09-18 11:34:36	ga_s2am_ard_3-2-1_50JRT_2019-09-18_final.stac-item
2019-10-20 12:13:55	ga_s2am_ard_3-2-1_50KKA_2019-10-20_final.stac-item
2019-10-31 11:43:21	ga_s2am_ard_3-2-1_51KTT_2019-10-31_final.stac-item
2019-10-31 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-10-31_final.stac-item
2019-11-24 11:23:28	ga_s2am_ard_3-2-1_51KXS_2019-11-24_final.stac-item
2019-12-30 11:44:37	ga_s2am_ard_3-2-1_50JRS_2019-12-30_final.stac-item
2020-01-07 11:04:09	ga_s2am_ard_3-2-1_52JFT_2020-01-07_final.stac-item
2020-03-03 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-03_final.stac-item
2020-03-03 11:23:16	ga_s2am_ard_3-2-1_52KBB_2020-03-03_final.stac-item
2020-03-29 11:44:47	ga_s2am_ard_3-2-1_51JUL_2020-03-29_final.stac-item
2020-05-12 11:26:37	ga_s2am_ard_3-2-1_51HUE_2020-05-12_final.stac-item
2020-05-31 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-05-31_final.stac-item
2020-06-14 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-14_final.stac-item
2020-06-24 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-06-24_final.stac-item
2020-07-30 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-07-30_final.stac-item
2020-08-06 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-08-06_final.stac-item
2020-08-23 11:35:50	ga_s2am_ard_3-2-1_51JUH_2020-08-23_final.stac-item
2020-10-01 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-10-01_final.stac-item
2020-11-10 12:05:01	ga_s2am_ard_3-2-1_50JKS_2020-11-10_final.stac-item
2020-12-08 11:21:37	ga_s2am_ard_3-2-1_51LZD_2020-12-08_final.stac-item
2020-12-11 11:36:25	ga_s2am_ard_3-2-1_51HUE_2020-12-11_final.stac-item
2020-12-12 11:04:25	ga_s2am_ard_3-2-1_52JFS_2020-12-12_final.stac-item
2021-03-03 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-03-03_final.stac-item
2021-05-10 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-05-10_final.stac-item
2021-05-30 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2021-05-30_final.stac-item
2021-06-16 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-06-16_final.stac-item
2021-06-24 10:46:01	ga_s2am_ard_3-2-1_52JGL_2021-06-24_final.stac-item
2021-07-19 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-07-19_final.stac-item
2021-07-20 11:06:40	ga_s2am_ard_3-2-1_51HYD_2021-07-20_final.stac-item
2021-07-27 10:56:00	ga_s2am_ard_3-2-1_52JGL_2021-07-27_final.stac-item
2021-08-02 11:15:36	ga_s2am_ard_3-2-1_52JCN_2021-08-02_final.stac-item
2021-08-07 12:04:42	ga_s2am_ard_3-2-1_50JLT_2021-08-07_final.stac-item
2021-08-31 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-08-31_final.stac-item
2021-11-02 11:56:26	ga_s2am_ard_3-2-1_50JML_2021-11-02_final.stac-item
2021-11-22 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-11-22_final.stac-item
2021-11-23 11:24:04	ga_s2am_ard_3-2-1_52KBU_2021-11-23_final.stac-item
2021-11-23 11:24:32	ga_s2am_ard_3-2-1_52JBS_2021-11-23_final.stac-item
2021-12-07 11:05:58	ga_s2am_ard_3-2-1_52JEL_2021-12-07_final.stac-item
2022-03-25 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2022-03-25_final.stac-item
2022-05-02 11:24:37	ga_s2am_ard_3-2-1_52JBS_2022-05-02_final.stac-item
2022-05-22 11:24:47	ga_s2am_ard_3-2-1_51JXM_2022-05-22_final.stac-item
2022-05-24 12:03:27	ga_s2am_ard_3-2-1_50KNC_2022-05-24_final.stac-item
2022-05-24 12:05:45	ga_s2am_ard_3-2-1_50JLP_2022-05-24_final.stac-item
2022-06-03 12:05:34	ga_s2am_ard_3-2-1_50JKQ_2022-06-03_final.stac-item
2022-06-18 11:15:01	ga_s2am_ard_3-2-1_52JCR_2022-06-18_final.stac-item
2022-06-24 11:36:32	ga_s2am_ard_3-2-1_50JQL_2022-06-24_final.stac-item
2022-08-16 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-16_final.stac-item
2022-09-06 11:13:37	ga_s2am_ard_3-2-1_52KBB_2022-09-06_final.stac-item
2022-09-16 11:16:07	ga_s2am_ard_3-2-1_52JBM_2022-09-16_final.stac-item
2022-09-20 10:56:04	ga_s2am_ard_3-2-1_52JGL_2022-09-20_final.stac-item
2022-10-10 10:55:19	ga_s2am_ard_3-2-1_52JGP_2022-10-10_final.stac-item
2022-10-19 11:25:23	ga_s2am_ard_3-2-1_51JYJ_2022-10-19_final.stac-item
2022-11-15 11:16:43	ga_s2am_ard_3-2-1_51HXD_2022-11-15_final.stac-item
2022-11-28 11:21:54	ga_s2am_ard_3-2-1_51LZC_2022-11-28_final.stac-item
2022-12-04 11:41:33	ga_s2am_ard_3-2-1_51LUE_2022-12-04_final.stac-item
2023-01-27 11:24:05	ga_s2am_ard_3-2-1_51KYP_2023-01-27_final.stac-item
2023-02-19 11:33:39	ga_s2am_ard_3-2-1_51KWR_2023-02-19_nrt.stac-item
2023-03-29 10:55:47	ga_s2am_ard_3-2-1_52JEM_2023-03-29_final
2023-05-29 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-05-29_final
2023-07-19 11:36:17	ga_s2am_ard_3-2-1_51JTF_2023-07-19_final
2023-09-16 12:06:13	ga_s2am_ard_3-2-1_50JKM_2023-09-16_final
2023-11-17 11:05:50	ga_s2am_ard_3-2-1_52JCM_2023-11-17_final
2023-12-29 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-29_final
2024-02-24 11:31:57	ga_s2am_ard_3-2-1_51KZB_2024-02-24_final
2024-03-15 11:36:46	ga_s2am_ard_3-2-1_51HTD_2024-03-15_final
2024-03-18 11:45:33	ga_s2am_ard_3-2-1_50JQP_2024-03-18_final
2024-03-28 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-28_final
2024-04-08 11:13:38	ga_s2am_ard_3-2-1_52KBA_2024-04-08_final
2024-04-10 11:53:39	ga_s2am_ard_3-2-1_50KNB_2024-04-10_final
2024-04-24 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-04-24_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

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