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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KKA_2015-12-27_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRD_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KMA_2016-04-02_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JQM_2016-04-19_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HWC_2016-05-03_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2016-07-07_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-08-06_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKT_2016-09-02_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-12-14_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JLN_2016-12-28_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JMS_2017-03-01_final.stac-item
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KVR_2017-05-11_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JPQ_2017-06-13_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-08-18_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-09-07_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KXT_2017-09-08_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JKP_2017-11-06_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWU_2017-12-17_final.stac-item
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51HUC_2018-02-15_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HQJ_2018-02-25_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JLL_2018-03-13_final.stac-item
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HUD_2018-03-14_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KUV_2018-04-09_final.stac-item
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JYM_2018-04-20_final.stac-item
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51JXH_2018-06-02_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPH_2018-08-07_final.stac-item
2018-12-31 12:04:36	ga_s2am_ard_3-2-1_50JKT_2018-12-31_final.stac-item
2019-01-08 11:23:20	ga_s2am_ard_3-2-1_51KYS_2019-01-08_final.stac-item
2019-01-14 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-01-14_final.stac-item
2019-02-07 11:25:57	ga_s2am_ard_3-2-1_51JVG_2019-02-07_final.stac-item
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final.stac-item
2019-04-27 11:56:08	ga_s2am_ard_3-2-1_50JNM_2019-04-27_final.stac-item
2019-05-04 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2019-05-04_final.stac-item
2019-06-30 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-30_final.stac-item
2019-07-29 12:05:20	ga_s2am_ard_3-2-1_49JGL_2019-07-29_final.stac-item
2019-08-11 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-11_final.stac-item
2019-08-23 11:14:31	ga_s2am_ard_3-2-1_51JYN_2019-08-23_final.stac-item
2019-09-04 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2019-09-04_final.stac-item
2019-09-18 11:34:10	ga_s2am_ard_3-2-1_51KWP_2019-09-18_final.stac-item
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final.stac-item
2019-12-13 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-12-13_final.stac-item
2020-01-06 11:36:21	ga_s2am_ard_3-2-1_50JPL_2020-01-06_final.stac-item
2020-02-04 12:05:36	ga_s2am_ard_3-2-1_49JGJ_2020-02-04_final.stac-item
2020-03-19 11:43:21	ga_s2am_ard_3-2-1_51KVS_2020-03-19_final.stac-item
2020-04-25 11:32:31	ga_s2am_ard_3-2-1_51KWA_2020-04-25_final.stac-item
2020-05-18 11:44:40	ga_s2am_ard_3-2-1_50JQT_2020-05-18_final.stac-item
2020-06-30 11:56:09	ga_s2am_ard_3-2-1_50JNM_2020-06-30_final.stac-item
2020-08-29 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-08-29_final.stac-item
2020-09-02 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-09-02_final.stac-item
2020-09-02 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2020-09-02_final.stac-item
2020-10-12 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-10-12_final.stac-item
2020-10-15 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-10-15_final.stac-item
2020-11-01 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-11-01_final.stac-item
2020-11-08 11:26:40	ga_s2am_ard_3-2-1_51HXD_2020-11-08_final.stac-item
2021-01-13 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-01-13_final.stac-item
2021-03-01 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-03-01_final.stac-item
2021-03-11 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-03-11_final.stac-item
2021-03-31 11:33:39	ga_s2am_ard_3-2-1_51KWR_2021-03-31_final.stac-item
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final.stac-item
2021-05-30 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-05-30_final.stac-item
2021-06-06 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-06-06_final.stac-item
2021-06-08 12:03:56	ga_s2am_ard_3-2-1_50KLA_2021-06-08_final.stac-item
2021-06-09 11:33:03	ga_s2am_ard_3-2-1_51KYT_2021-06-09_final.stac-item
2021-06-09 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-06-09_final.stac-item
2021-07-09 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2021-07-09_final.stac-item
2021-09-27 11:32:58	ga_s2am_ard_3-2-1_51KXU_2021-09-27_final.stac-item
2021-11-16 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2021-11-16_final.stac-item
2021-12-15 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-15_final.stac-item
2022-04-08 11:43:01	ga_s2am_ard_3-2-1_51KUU_2022-04-08_final.stac-item
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final.stac-item
2022-05-18 11:44:46	ga_s2am_ard_3-2-1_51JUM_2022-05-18_final.stac-item
2022-06-03 12:05:49	ga_s2am_ard_3-2-1_50JKP_2022-06-03_final.stac-item
2022-06-11 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2022-06-11_final.stac-item
2022-06-14 11:34:13	ga_s2am_ard_3-2-1_51KUQ_2022-06-14_final.stac-item
2022-06-24 11:33:34	ga_s2am_ard_3-2-1_51KUT_2022-06-24_final.stac-item
2022-07-23 12:03:52	ga_s2am_ard_3-2-1_50KLB_2022-07-23_final.stac-item
2022-08-02 12:03:34	ga_s2am_ard_3-2-1_50KMC_2022-08-02_final.stac-item
2022-08-22 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-08-22_final.stac-item
2022-09-05 11:45:17	ga_s2am_ard_3-2-1_50JQR_2022-09-05_final.stac-item
2022-10-21 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-10-21_final.stac-item
2022-11-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-11-14_final.stac-item
2022-12-17 11:53:10	ga_s2am_ard_3-2-1_50KRC_2022-12-17_final.stac-item
2023-01-27 11:26:09	ga_s2am_ard_3-2-1_51JWF_2023-01-27_final.stac-item
2023-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-02-08_final
2023-02-22 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-22_nrt.stac-item
2023-02-22 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-22_final
2023-02-26 11:23:26	ga_s2am_ard_3-2-1_51KXS_2023-02-26_final
2023-04-30 11:36:38	ga_s2am_ard_3-2-1_50HPK_2023-04-30_final
2023-07-26 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-26_final
2023-09-16 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-09-16_final
2023-11-16 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-11-16_final
2023-12-13 11:26:43	ga_s2am_ard_3-2-1_51HUD_2023-12-13_final
2024-01-05 11:33:12	ga_s2am_ard_3-2-1_51KVT_2024-01-05_final
2024-01-08 11:42:17	ga_s2am_ard_3-2-1_51KWA_2024-01-08_final
2024-01-25 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-01-25_final
2024-03-18 11:44:06	ga_s2am_ard_3-2-1_50KQV_2024-03-18_final
2024-03-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2024-03-18_final
2024-03-28 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-28_final
2024-04-11 11:24:15	ga_s2am_ard_3-2-1_51KWP_2024-04-11_final
2024-05-23 12:03:22	ga_s2am_ard_3-2-1_50KMC_2024-05-23_nrt

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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