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
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2016-01-19_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51LZE_2016-01-24_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JQN_2016-02-19_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KLC_2016-04-15_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KXT_2016-08-11_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-22_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KYS_2016-11-29_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JHN_2016-12-31_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KYT_2017-03-12_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQH_2017-03-12_final.stac-item
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_51HUE_2017-08-09_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_52JBS_2018-01-13_final.stac-item
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JFM_2018-01-18_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KVA_2018-01-19_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KYV_2018-02-15_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51KZU_2018-02-22_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51LWC_2018-04-29_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KZT_2018-05-03_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KBD_2018-06-12_final.stac-item
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KZT_2018-08-01_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPH_2018-08-07_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KWP_2018-10-03_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KWQ_2018-10-23_final.stac-item
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_51KZU_2018-10-30_final.stac-item
2019-02-03 11:43:08	ga_s2am_ard_3-2-1_51KVT_2019-02-03_final.stac-item
2019-02-07 11:24:12	ga_s2am_ard_3-2-1_51KWP_2019-02-07_final.stac-item
2019-02-13 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-02-13_final.stac-item
2019-03-12 11:32:54	ga_s2am_ard_3-2-1_51KVU_2019-03-12_final.stac-item
2019-06-30 11:34:48	ga_s2am_ard_3-2-1_51JVM_2019-06-30_final.stac-item
2019-08-02 11:42:26	ga_s2am_ard_3-2-1_51KWA_2019-08-02_final.stac-item
2019-09-11 11:43:42	ga_s2am_ard_3-2-1_51KUR_2019-09-11_final.stac-item
2019-09-18 11:31:53	ga_s2am_ard_3-2-1_51LYC_2019-09-18_final.stac-item
2019-12-21 11:15:30	ga_s2am_ard_3-2-1_52JBN_2019-12-21_final.stac-item
2020-01-20 11:15:04	ga_s2am_ard_3-2-1_51JYK_2020-01-20_final.stac-item
2020-03-16 11:32:07	ga_s2am_ard_3-2-1_51KXB_2020-03-16_final.stac-item
2020-03-26 11:34:10	ga_s2am_ard_3-2-1_51KVP_2020-03-26_final.stac-item
2020-04-19 11:13:24	ga_s2am_ard_3-2-1_52KCB_2020-04-19_final.stac-item
2020-04-25 11:33:00	ga_s2am_ard_3-2-1_51KVU_2020-04-25_final.stac-item
2020-05-28 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-28_final.stac-item
2020-06-13 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-13_final.stac-item
2020-07-26 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-07-26_final.stac-item
2020-07-31 11:25:30	ga_s2am_ard_3-2-1_51JXJ_2020-07-31_final.stac-item
2020-08-20 11:24:15	ga_s2am_ard_3-2-1_51KZP_2020-08-20_final.stac-item
2020-10-22 11:33:07	ga_s2am_ard_3-2-1_51KYT_2020-10-22_final.stac-item
2020-10-22 11:34:48	ga_s2am_ard_3-2-1_51JVM_2020-10-22_final.stac-item
2020-11-02 11:04:55	ga_s2am_ard_3-2-1_52JDR_2020-11-02_final.stac-item
2021-01-13 11:42:10	ga_s2am_ard_3-2-1_51KWB_2021-01-13_final.stac-item
2021-02-02 11:41:18	ga_s2am_ard_3-2-1_51LUF_2021-02-02_final.stac-item
2021-02-06 11:23:15	ga_s2am_ard_3-2-1_52KCB_2021-02-06_final.stac-item
2021-03-28 11:22:54	ga_s2am_ard_3-2-1_51KYU_2021-03-28_final.stac-item
2021-05-07 11:26:45	ga_s2am_ard_3-2-1_51HVD_2021-05-07_final.stac-item
2021-05-17 11:23:21	ga_s2am_ard_3-2-1_51KZS_2021-05-17_final.stac-item
2021-06-09 11:32:44	ga_s2am_ard_3-2-1_51KWV_2021-06-09_final.stac-item
2021-07-09 11:31:59	ga_s2am_ard_3-2-1_51LXC_2021-07-09_final.stac-item
2021-07-22 11:45:50	ga_s2am_ard_3-2-1_50JQN_2021-07-22_final.stac-item
2021-07-23 11:15:54	ga_s2am_ard_3-2-1_52JBM_2021-07-23_final.stac-item
2021-08-05 11:25:41	ga_s2am_ard_3-2-1_51JXH_2021-08-05_final.stac-item
2021-08-06 10:55:30	ga_s2am_ard_3-2-1_52JGN_2021-08-06_final.stac-item
2021-08-18 11:37:20	ga_s2am_ard_3-2-1_50HQG_2021-08-18_final
2021-08-31 11:44:17	ga_s2am_ard_3-2-1_50KRU_2021-08-31_final.stac-item
2021-09-07 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-09-07_final.stac-item
2021-09-20 11:42:16	ga_s2am_ard_3-2-1_51KVB_2021-09-20_final.stac-item
2021-11-17 11:06:18	ga_s2am_ard_3-2-1_52HDK_2021-11-17_final
2021-12-12 11:56:03	ga_s2am_ard_3-2-1_50JNM_2021-12-12_final.stac-item
2021-12-13 11:24:15	ga_s2am_ard_3-2-1_51JZN_2021-12-13_final.stac-item
2022-02-04 11:36:31	ga_s2am_ard_3-2-1_51HTE_2022-02-04_final.stac-item
2022-02-07 11:43:32	ga_s2am_ard_3-2-1_51KTS_2022-02-07_final.stac-item
2022-02-21 11:23:51	ga_s2am_ard_3-2-1_52KBV_2022-02-21_final.stac-item
2022-04-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-04-04_final.stac-item
2022-06-04 11:32:27	ga_s2am_ard_3-2-1_51KVB_2022-06-04_final.stac-item
2022-06-20 11:56:08	ga_s2am_ard_3-2-1_50JLN_2022-06-20_final.stac-item
2022-07-07 11:43:31	ga_s2am_ard_3-2-1_51KTT_2022-07-07_final.stac-item
2022-07-18 11:16:17	ga_s2am_ard_3-2-1_52JBL_2022-07-18_final.stac-item
2022-08-07 11:13:25	ga_s2am_ard_3-2-1_52KBC_2022-08-07_final.stac-item
2022-08-20 11:25:26	ga_s2am_ard_3-2-1_51JWK_2022-08-20_final.stac-item
2022-08-30 11:23:08	ga_s2am_ard_3-2-1_51KYU_2022-08-30_final.stac-item
2022-09-09 11:23:03	ga_s2am_ard_3-2-1_51KZU_2022-09-09_final.stac-item
2022-09-11 12:03:34	ga_s2am_ard_3-2-1_50KMC_2022-09-11_final.stac-item
2022-10-03 11:04:40	ga_s2am_ard_3-2-1_52JES_2022-10-03_final.stac-item
2022-11-04 11:43:26	ga_s2am_ard_3-2-1_50KQC_2022-11-04_final.stac-item
2022-12-11 11:32:22	ga_s2am_ard_3-2-1_51KYA_2022-12-11_final.stac-item
2023-01-20 11:31:33	ga_s2am_ard_3-2-1_51LYD_2023-01-20_final.stac-item
2023-04-26 11:56:25	ga_s2am_ard_3-2-1_50JLL_2023-04-26_final
2023-06-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-11_final
2023-07-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-07-19_final
2023-07-23 11:14:28	ga_s2am_ard_3-2-1_51JZN_2023-07-23_final
2023-07-29 11:32:42	ga_s2am_ard_3-2-1_51KYV_2023-07-29_final
2023-08-09 11:04:22	ga_s2am_ard_3-2-1_52JET_2023-08-09_final
2023-09-14 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-09-14_final
2023-09-24 11:24:06	ga_s2am_ard_3-2-1_51KZP_2023-09-24_final
2023-10-30 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-10-30_final
2023-11-16 11:32:49	ga_s2am_ard_3-2-1_51KYU_2023-11-16_final
2023-11-29 11:46:29	ga_s2am_ard_3-2-1_50HNK_2023-11-29_final
2023-12-09 11:43:08	ga_s2am_ard_3-2-1_50KRC_2023-12-09_final
2023-12-17 11:05:54	ga_s2am_ard_3-2-1_52JBM_2023-12-17_final
2024-01-01 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-01-01_final
2024-03-02 11:25:42	ga_s2am_ard_3-2-1_51JWH_2024-03-02_final
2024-04-17 11:43:46	ga_s2am_ard_3-2-1_51KUR_2024-04-17_final
2024-05-11 11:22:55	ga_s2am_ard_3-2-1_52KBD_2024-05-11_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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