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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JCN_2015-10-23_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KVA_2016-02-06_final.stac-item
2016-06-02 11:26:14	ga_s2am_ard_3-2-1_51HVE_2016-06-02_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JXG_2016-07-09_final.stac-item
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KYT_2017-07-30_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMJ_2017-08-12_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HQJ_2017-09-01_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQP_2017-12-30_final.stac-item
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKN_2018-01-05_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXK_2018-01-13_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXS_2018-02-02_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYQ_2018-02-02_final.stac-item
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYE_2018-03-01_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYJ_2018-03-11_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KHQ_2018-05-25_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KMA_2018-05-25_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51KTT_2018-07-18_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KMU_2018-08-13_final.stac-item
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVH_2018-08-31_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-11-01_final.stac-item
2019-01-01 11:31:36	ga_s2am_ard_3-2-1_51LXD_2019-01-01_final.stac-item
2019-01-24 11:46:23	ga_s2am_ard_3-2-1_50JML_2019-01-24_final.stac-item
2019-02-13 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-02-13_final.stac-item
2019-03-02 11:32:35	ga_s2am_ard_3-2-1_51KXV_2019-03-02_final.stac-item
2019-03-15 11:45:14	ga_s2am_ard_3-2-1_50JQQ_2019-03-15_final.stac-item
2019-03-22 11:32:13	ga_s2am_ard_3-2-1_51KWB_2019-03-22_final.stac-item
2019-03-26 11:16:05	ga_s2am_ard_3-2-1_52JBL_2019-03-26_final.stac-item
2019-04-11 11:31:22	ga_s2am_ard_3-2-1_51LZE_2019-04-11_final.stac-item
2019-04-12 11:06:26	ga_s2am_ard_3-2-1_52HBK_2019-04-12_final.stac-item
2019-06-26 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2019-06-26_final.stac-item
2019-06-26 11:56:22	ga_s2am_ard_3-2-1_50JNL_2019-06-26_final.stac-item
2019-08-09 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-08-09_final.stac-item
2019-08-30 11:05:53	ga_s2am_ard_3-2-1_52JCM_2019-08-30_final.stac-item
2019-10-25 11:23:33	ga_s2am_ard_3-2-1_51KXS_2019-10-25_final.stac-item
2020-01-03 11:25:40	ga_s2am_ard_3-2-1_51JYG_2020-01-03_final.stac-item
2020-01-13 11:23:04	ga_s2am_ard_3-2-1_51KYT_2020-01-13_final.stac-item
2020-03-26 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-03-26_final.stac-item
2020-04-02 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-04-02_final.stac-item
2020-04-05 11:36:14	ga_s2am_ard_3-2-1_51JTF_2020-04-05_final.stac-item
2020-06-11 11:27:05	ga_s2am_ard_3-2-1_51HVC_2020-06-11_final.stac-item
2020-06-16 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-06-16_final.stac-item
2020-08-09 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-09_final.stac-item
2020-08-10 11:25:48	ga_s2am_ard_3-2-1_51JWH_2020-08-10_final.stac-item
2020-08-23 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-08-23_final.stac-item
2020-09-24 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-09-24_final.stac-item
2020-09-25 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-09-25_final.stac-item
2020-10-21 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-10-21_final.stac-item
2020-12-12 11:06:03	ga_s2am_ard_3-2-1_52JCL_2020-12-12_final.stac-item
2021-01-20 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2021-01-20_final.stac-item
2021-01-30 11:34:25	ga_s2am_ard_3-2-1_51JWN_2021-01-30_final.stac-item
2021-02-13 11:16:35	ga_s2am_ard_3-2-1_51HYD_2021-02-13_final.stac-item
2021-03-21 11:32:35	ga_s2am_ard_3-2-1_51KYV_2021-03-21_final.stac-item
2021-04-10 11:34:53	ga_s2am_ard_3-2-1_51JVL_2021-04-10_final.stac-item
2021-05-03 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2021-05-03_final.stac-item
2021-05-04 11:15:41	ga_s2am_ard_3-2-1_51JXH_2021-05-04_final.stac-item
2021-06-25 11:53:12	ga_s2am_ard_3-2-1_50KRC_2021-06-25_final.stac-item
2021-06-28 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-06-28_final.stac-item
2021-08-07 12:06:12	ga_s2am_ard_3-2-1_50JKM_2021-08-07_final.stac-item
2021-08-15 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2021-08-15_final.stac-item
2021-11-10 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2021-11-10_final.stac-item
2022-01-08 11:43:16	ga_s2am_ard_3-2-1_51KUT_2022-01-08_final.stac-item
2022-02-23 12:06:12	ga_s2am_ard_3-2-1_50JKM_2022-02-23_final.stac-item
2022-03-26 11:36:22	ga_s2am_ard_3-2-1_50JQL_2022-03-26_final.stac-item
2022-03-29 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2022-03-29_final.stac-item
2022-03-30 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2022-03-30_final.stac-item
2022-04-05 11:34:12	ga_s2am_ard_3-2-1_51KWP_2022-04-05_final.stac-item
2022-04-08 11:41:56	ga_s2am_ard_3-2-1_51LWC_2022-04-08_final.stac-item
2022-04-28 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-04-28_final.stac-item
2022-05-11 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2022-05-11_final.stac-item
2022-05-19 11:14:47	ga_s2am_ard_3-2-1_51JYM_2022-05-19_final.stac-item
2022-05-28 11:44:53	ga_s2am_ard_3-2-1_51JTM_2022-05-28_final.stac-item
2022-08-10 11:24:27	ga_s2am_ard_3-2-1_51KWP_2022-08-10_final.stac-item
2022-09-05 11:46:24	ga_s2am_ard_3-2-1_50JMM_2022-09-05_final.stac-item
2022-09-05 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-09-05_final.stac-item
2022-09-09 11:24:23	ga_s2am_ard_3-2-1_51KXP_2022-09-09_final.stac-item
2022-10-02 11:34:36	ga_s2am_ard_3-2-1_51JVN_2022-10-02_final.stac-item
2022-11-12 11:06:27	ga_s2am_ard_3-2-1_52HBK_2022-11-12_final.stac-item
2022-11-21 11:34:26	ga_s2am_ard_3-2-1_51JWN_2022-11-21_final.stac-item
2022-12-04 13:21:45	ga_s2am_ard_3-2-1_46LHM_2022-12-04_interim
2022-12-13 12:14:18	ga_s2am_ard_3-2-1_49KFQ_2022-12-13_nrt.stac-item
2022-12-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2022-12-18_final.stac-item
2023-02-19 11:32:23	ga_s2am_ard_3-2-1_51KXA_2023-02-19_nrt.stac-item
2023-02-19 11:32:23	ga_s2am_ard_3-2-1_51KXA_2023-02-19_final
2023-03-07 11:57:10	ga_s2am_ard_3-2-1_49HGC_2023-03-07_nrt
2023-03-18 11:26:16	ga_s2am_ard_3-2-1_51JUF_2023-03-18_final
2023-04-27 11:21:11	ga_s2am_ard_3-2-1_51LZF_2023-04-27_nrt
2023-05-10 11:35:36	ga_s2am_ard_3-2-1_50JQP_2023-05-10_final
2023-05-29 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-05-29_final
2023-05-30 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-05-30_final
2023-06-18 12:03:56	ga_s2am_ard_3-2-1_50KMA_2023-06-18_final
2023-06-26 11:23:24	ga_s2am_ard_3-2-1_51KZS_2023-06-26_final
2023-07-19 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-07-19_final
2023-09-19 12:13:57	ga_s2am_ard_3-2-1_50KKA_2023-09-19_final
2023-10-31 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2023-10-31_nrt
2023-11-09 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-11-09_final
2023-12-23 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2023-12-23_final
2024-01-25 11:34:55	ga_s2am_ard_3-2-1_51JUL_2024-01-25_final
2024-01-29 11:16:29	ga_s2am_ard_3-2-1_52HBJ_2024-01-29_final
2024-03-05 11:33:13	ga_s2am_ard_3-2-1_51KWT_2024-03-05_final
2024-04-07 11:41:57	ga_s2am_ard_3-2-1_51LVC_2024-04-07_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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