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
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWP_2016-05-16_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_52KDV_2016-09-17_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HQK_2016-11-15_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVA_2016-11-22_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXS_2016-12-22_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KCV_2017-01-15_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JBT_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KDG_2017-01-25_final.stac-item
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52LDH_2017-02-14_final.stac-item
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KZR_2017-02-27_final.stac-item
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGL_2017-04-09_final.stac-item
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52JER_2017-04-22_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWP_2017-05-31_final.stac-item
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50HMK_2017-09-24_final.stac-item
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JDN_2017-11-08_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNV_2017-12-03_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTQ_2017-12-10_final.stac-item
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53HPD_2017-12-29_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUT_2017-12-30_final.stac-item
2018-01-12 10:16:33	ga_s2am_ard_3-2-1_53HQB_2018-01-12_final.stac-item
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52LGJ_2018-02-16_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_52JBS_2018-02-22_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KDA_2018-03-11_final.stac-item
2018-03-28 11:00:18	ga_s2am_ard_3-2-1_52HBK_2018-03-28_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKM_2018-04-25_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JMM_2018-07-18_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JMM_2018-08-07_final.stac-item
2018-08-25 10:57:15	ga_s2am_ard_3-2-1_52JCM_2018-08-25_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JZM_2018-09-30_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JNL_2018-10-06_final.stac-item
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53JKK_2018-10-28_final.stac-item
2018-12-01 10:25:58	ga_s2am_ard_3-2-1_53HPE_2018-12-01_final.stac-item
2018-12-03 11:03:40	ga_s2am_ard_3-2-1_52KEV_2018-12-03_final.stac-item
2019-01-24 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2019-01-24_final.stac-item
2019-02-07 11:24:55	ga_s2am_ard_3-2-1_51JWL_2019-02-07_final.stac-item
2019-04-01 11:36:03	ga_s2am_ard_3-2-1_51JTG_2019-04-01_final.stac-item
2019-07-07 11:24:48	ga_s2am_ard_3-2-1_52JBR_2019-07-07_final.stac-item
2019-08-21 10:36:53	ga_s2am_ard_3-2-1_53HNB_2019-08-21_final.stac-item
2020-01-09 11:43:16	ga_s2am_ard_3-2-1_50KQC_2020-01-09_final.stac-item
2020-01-17 11:02:49	ga_s2am_ard_3-2-1_52KHC_2020-01-17_final.stac-item
2020-02-10 10:45:40	ga_s2am_ard_3-2-1_52JGM_2020-02-10_final.stac-item
2020-02-29 11:10:57	ga_s2am_ard_3-2-1_52LFL_2020-02-29_final.stac-item
2020-03-23 11:26:36	ga_s2am_ard_3-2-1_51HWD_2020-03-23_final.stac-item
2020-05-24 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-05-24_final.stac-item
2020-07-10 11:56:03	ga_s2am_ard_3-2-1_50JKN_2020-07-10_final.stac-item
2020-07-23 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-07-23_final.stac-item
2020-08-10 11:26:13	ga_s2am_ard_3-2-1_51JXF_2020-08-10_final.stac-item
2020-08-23 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-08-23_final.stac-item
2020-11-14 11:45:57	ga_s2am_ard_3-2-1_50JNN_2020-11-14_final.stac-item
2020-11-15 11:16:40	ga_s2am_ard_3-2-1_51HYD_2020-11-15_final.stac-item
2020-12-08 11:21:51	ga_s2am_ard_3-2-1_52LBH_2020-12-08_final.stac-item
2020-12-22 11:01:49	ga_s2am_ard_3-2-1_52LFH_2020-12-22_final.stac-item
2021-01-07 11:23:43	ga_s2am_ard_3-2-1_51KXR_2021-01-07_final.stac-item
2021-01-25 10:46:25	ga_s2am_ard_3-2-1_53HLD_2021-01-25_final.stac-item
2021-03-30 12:06:07	ga_s2am_ard_3-2-1_50JKM_2021-03-30_final.stac-item
2021-04-14 11:14:00	ga_s2am_ard_3-2-1_52KCU_2021-04-14_final.stac-item
2021-04-20 11:36:23	ga_s2am_ard_3-2-1_51HUE_2021-04-20_final.stac-item
2021-05-31 11:04:19	ga_s2am_ard_3-2-1_52JET_2021-05-31_final.stac-item
2021-06-13 11:13:30	ga_s2am_ard_3-2-1_52KEA_2021-06-13_final.stac-item
2021-07-07 10:54:47	ga_s2am_ard_3-2-1_52JGR_2021-07-07_final.stac-item
2021-07-09 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final.stac-item
2021-08-08 11:37:15	ga_s2am_ard_3-2-1_50HPH_2021-08-08_final.stac-item
2021-08-23 10:46:23	ga_s2am_ard_3-2-1_53HMD_2021-08-23_final.stac-item
2021-11-30 11:13:30	ga_s2am_ard_3-2-1_52KEA_2021-11-30_final.stac-item
2021-12-04 10:54:58	ga_s2am_ard_3-2-1_52JGQ_2021-12-04_final.stac-item
2022-01-29 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-01-29_final.stac-item
2022-03-27 11:06:09	ga_s2am_ard_3-2-1_52JCL_2022-03-27_final.stac-item
2022-03-30 11:11:15	ga_s2am_ard_3-2-1_52LGK_2022-03-30_final.stac-item
2022-04-22 11:23:29	ga_s2am_ard_3-2-1_51KYS_2022-04-22_final.stac-item
2022-05-01 10:17:10	ga_s2am_ard_3-2-1_53HQA_2022-05-01_final.stac-item
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final.stac-item
2022-06-16 12:15:07	ga_s2am_ard_3-2-1_49JGM_2022-06-16_final.stac-item
2022-07-10 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-07-10_final.stac-item
2022-08-02 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-08-02_final.stac-item
2022-09-16 11:11:07	ga_s2am_ard_3-2-1_52LFL_2022-09-16_final.stac-item
2022-09-27 10:44:20	ga_s2am_ard_3-2-1_53JLN_2022-09-27_final.stac-item
2022-10-03 11:04:28	ga_s2am_ard_3-2-1_52JDT_2022-10-03_final.stac-item
2022-10-06 11:15:25	ga_s2am_ard_3-2-1_52JCP_2022-10-06_final.stac-item
2022-11-28 11:21:17	ga_s2am_ard_3-2-1_51LZE_2022-11-28_final.stac-item
2023-01-07 11:26:06	ga_s2am_ard_3-2-1_51JXF_2023-01-07_final.stac-item
2023-01-11 11:04:54	ga_s2am_ard_3-2-1_52JCR_2023-01-11_final.stac-item
2023-01-27 11:23:18	ga_s2am_ard_3-2-1_52KBB_2023-01-27_final.stac-item
2023-02-25 11:53:08	ga_s2am_ard_3-2-1_50KRC_2023-02-25_final
2023-02-26 11:21:58	ga_s2am_ard_3-2-1_52KDG_2023-02-26_final
2023-03-30 10:26:44	ga_s2am_ard_3-2-1_53HQB_2023-03-30_final
2023-05-30 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2023-05-30_final
2023-05-31 11:06:10	ga_s2am_ard_3-2-1_52JCL_2023-05-31_final
2023-06-09 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-06-09_final
2023-07-30 11:02:57	ga_s2am_ard_3-2-1_52KED_2023-07-30_final
2023-09-10 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-09-10_final
2023-10-26 10:26:54	ga_s2am_ard_3-2-1_53HNB_2023-10-26_final
2023-11-16 11:32:18	ga_s2am_ard_3-2-1_51KVB_2023-11-16_final
2023-12-06 11:34:43	ga_s2am_ard_3-2-1_50JRS_2023-12-06_final
2023-12-07 11:01:44	ga_s2am_ard_3-2-1_52LFH_2023-12-07_final
2023-12-07 11:05:28	ga_s2am_ard_3-2-1_52JDN_2023-12-07_final
2024-01-19 11:11:42	ga_s2am_ard_3-2-1_52LDH_2024-01-19_final
2024-03-02 11:21:59	ga_s2am_ard_3-2-1_51LYC_2024-03-02_final
2024-03-08 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-08_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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