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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JZM_2015-11-25_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KMC_2015-12-17_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMN_2016-03-03_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-08-06_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51JYK_2016-08-18_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50KPC_2016-08-30_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HVE_2016-09-20_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHQ_2016-09-25_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQJ_2017-03-05_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVT_2017-03-25_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-10_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-10-07_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVV_2017-11-27_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50KLU_2018-04-05_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51HXD_2018-05-03_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-16_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KVA_2018-08-27_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQK_2018-09-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JPL_2018-09-06_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKN_2018-10-29_final.stac-item
2018-11-12 11:35:32	ga_s2am_ard_3-2-1_50JQP_2018-11-12_final.stac-item
2018-11-12 11:35:40	ga_s2am_ard_3-2-1_51JUH_2018-11-12_final.stac-item
2018-11-26 11:16:36	ga_s2am_ard_3-2-1_51HWD_2018-11-26_final.stac-item
2019-02-03 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-02-03_final.stac-item
2019-02-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-02-23_final.stac-item
2019-03-25 11:46:14	ga_s2am_ard_3-2-1_50JQL_2019-03-25_final.stac-item
2019-03-28 11:53:20	ga_s2am_ard_3-2-1_50KPC_2019-03-28_final.stac-item
2019-04-10 12:04:26	ga_s2am_ard_3-2-1_50KLU_2019-04-10_final.stac-item
2019-04-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final.stac-item
2019-06-20 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-20_final.stac-item
2019-08-12 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-08-12_final.stac-item
2019-08-16 11:25:27	ga_s2am_ard_3-2-1_51JXJ_2019-08-16_final.stac-item
2019-10-21 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-10-21_final.stac-item
2019-10-28 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-10-28_final.stac-item
2019-10-31 11:43:39	ga_s2am_ard_3-2-1_51KVR_2019-10-31_final.stac-item
2019-12-09 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-12-09_final.stac-item
2019-12-27 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-12-27_final.stac-item
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final.stac-item
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-01-18_final.stac-item
2020-02-21 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-02-21_final.stac-item
2020-03-20 11:16:37	ga_s2am_ard_3-2-1_51HXD_2020-03-20_final.stac-item
2020-04-05 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2020-04-05_final.stac-item
2020-04-22 11:26:41	ga_s2am_ard_3-2-1_51HWD_2020-04-22_final.stac-item
2020-07-01 11:25:15	ga_s2am_ard_3-2-1_51JXK_2020-07-01_final.stac-item
2020-07-04 11:32:34	ga_s2am_ard_3-2-1_51KWA_2020-07-04_final.stac-item
2020-08-25 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-08-25_final.stac-item
2020-08-27 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-08-27_final.stac-item
2020-10-01 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-01_final.stac-item
2020-12-01 11:34:15	ga_s2am_ard_3-2-1_51JXN_2020-12-01_final.stac-item
2020-12-21 11:35:40	ga_s2am_ard_3-2-1_51JVH_2020-12-21_final.stac-item
2021-01-23 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-01-23_final.stac-item
2021-01-29 12:03:20	ga_s2am_ard_3-2-1_50KNC_2021-01-29_final.stac-item
2021-03-04 11:45:11	ga_s2am_ard_3-2-1_50JNR_2021-03-04_final.stac-item
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final.stac-item
2021-05-16 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-05-16_final.stac-item
2021-06-15 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-06-15_final
2021-07-29 11:33:41	ga_s2am_ard_3-2-1_51KXR_2021-07-29_final.stac-item
2021-09-03 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-09-03_final.stac-item
2021-09-27 11:34:05	ga_s2am_ard_3-2-1_51KWP_2021-09-27_final.stac-item
2021-10-04 11:23:47	ga_s2am_ard_3-2-1_51KXR_2021-10-04_final.stac-item
2021-10-30 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-10-30_final.stac-item
2021-10-31 11:14:42	ga_s2am_ard_3-2-1_51JZM_2021-10-31_final.stac-item
2021-11-06 11:33:42	ga_s2am_ard_3-2-1_51KXR_2021-11-06_final.stac-item
2021-11-16 11:35:05	ga_s2am_ard_3-2-1_51JTL_2021-11-16_final.stac-item
2022-01-08 11:46:24	ga_s2am_ard_3-2-1_50JNL_2022-01-08_final.stac-item
2022-01-17 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-01-17_final.stac-item
2022-02-10 11:52:33	ga_s2am_ard_3-2-1_50KQF_2022-02-10_final
2022-02-14 11:33:38	ga_s2am_ard_3-2-1_51KXR_2022-02-14_final.stac-item
2022-02-21 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-02-21_final.stac-item
2022-04-12 11:24:32	ga_s2am_ard_3-2-1_51JWN_2022-04-12_final.stac-item
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final.stac-item
2022-06-18 11:16:19	ga_s2am_ard_3-2-1_51JYF_2022-06-18_final.stac-item
2022-07-14 11:32:41	ga_s2am_ard_3-2-1_51KWA_2022-07-14_final.stac-item
2022-08-03 11:35:37	ga_s2am_ard_3-2-1_51JVJ_2022-08-03_final.stac-item
2022-09-12 11:36:39	ga_s2am_ard_3-2-1_51HUE_2022-09-12_final.stac-item
2022-09-25 11:42:53	ga_s2am_ard_3-2-1_51KUV_2022-09-25_final.stac-item
2022-11-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2022-11-25_final.stac-item
2022-12-04 11:42:10	ga_s2am_ard_3-2-1_51KWB_2022-12-04_final.stac-item
2023-02-22 11:43:41	ga_s2am_ard_3-2-1_51KUR_2023-02-22_final
2023-03-28 11:25:36	ga_s2am_ard_3-2-1_51JXH_2023-03-28_final
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final
2023-05-26 11:53:21	ga_s2am_ard_3-2-1_50KQC_2023-05-26_final
2023-06-06 11:25:17	ga_s2am_ard_3-2-1_51JWK_2023-06-06_final
2023-06-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-11_final
2023-07-22 11:44:35	ga_s2am_ard_3-2-1_50JRT_2023-07-22_final
2023-08-14 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-14_final
2023-09-20 11:43:14	ga_s2am_ard_3-2-1_51KVT_2023-09-20_final
2023-09-24 11:23:59	ga_s2am_ard_3-2-1_51KXQ_2023-09-24_final
2023-11-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2023-11-28_final
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_50KKB_2023-12-15_final
2023-12-23 11:25:39	ga_s2am_ard_3-2-1_51JWH_2023-12-23_final
2023-12-26 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2023-12-26_final
2024-01-25 11:33:32	ga_s2am_ard_3-2-1_51KXR_2024-01-25_final
2024-02-11 11:25:53	ga_s2am_ard_3-2-1_51JWG_2024-02-11_final
2024-03-18 11:44:46	ga_s2am_ard_3-2-1_51JTM_2024-03-18_final
2024-03-25 11:32:20	ga_s2am_ard_3-2-1_51KVB_2024-03-25_final
2024-04-03 12:03:57	ga_s2am_ard_3-2-1_49KHR_2024-04-03_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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