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
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_53JQG_2016-01-06_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_52KBV_2016-04-20_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_52KBV_2016-09-17_final.stac-item
2016-10-24 10:57:12	ga_s2am_ard_3-2-1_52KFG_2016-10-24_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPK_2016-11-15_final.stac-item
2016-12-10 10:47:57	ga_s2am_ard_3-2-1_52KHE_2016-12-10_final.stac-item
2016-12-30 10:48:09	ga_s2am_ard_3-2-1_52KHF_2016-12-30_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVU_2017-01-24_final.stac-item
2017-01-26 10:42:01	ga_s2am_ard_3-2-1_53JKG_2017-01-26_final.stac-item
2017-03-21 10:22:59	ga_s2am_ard_3-2-1_54JTS_2017-03-21_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HWD_2017-04-28_final.stac-item
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51JUJ_2017-05-31_final.stac-item
2017-06-05 10:43:09	ga_s2am_ard_3-2-1_53JMN_2017-06-05_final.stac-item
2017-06-07 11:19:47	ga_s2am_ard_3-2-1_51KXS_2017-06-07_final.stac-item
2017-07-05 10:43:05	ga_s2am_ard_3-2-1_53JMF_2017-07-05_final.stac-item
2017-08-20 11:03:00	ga_s2am_ard_3-2-1_52KEA_2017-08-20_final.stac-item
2017-10-24 10:15:53	ga_s2am_ard_3-2-1_54HUJ_2017-10-24_final.stac-item
2017-11-13 10:16:46	ga_s2am_ard_3-2-1_53HQA_2017-11-13_final.stac-item
2017-12-24 11:16:53	ga_s2am_ard_3-2-1_51LYC_2017-12-24_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final.stac-item
2018-02-13 10:47:21	ga_s2am_ard_3-2-1_53LLF_2018-02-13_final.stac-item
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JUM_2018-03-03_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYG_2018-03-11_final.stac-item
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_54JWS_2018-04-12_final.stac-item
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53KPQ_2018-05-28_final.stac-item
2018-10-09 10:07:01	ga_s2am_ard_3-2-1_54HVH_2018-10-09_final.stac-item
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_52JFT_2018-10-11_final.stac-item
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_53JQJ_2018-10-12_final.stac-item
2018-10-31 10:47:21	ga_s2am_ard_3-2-1_53JKJ_2018-10-31_final.stac-item
2018-11-08 11:54:43	ga_s2am_ard_3-2-1_50JPS_2018-11-08_final.stac-item
2018-11-20 10:51:25	ga_s2am_ard_3-2-1_53LPC_2018-11-20_final
2019-02-13 11:41:52	ga_s2am_ard_3-2-1_51LWC_2019-02-13_final.stac-item
2019-03-27 10:42:20	ga_s2am_ard_3-2-1_53KPV_2019-03-27_final.stac-item
2019-05-05 11:12:36	ga_s2am_ard_3-2-1_52KEE_2019-05-05_final.stac-item
2019-06-08 10:51:31	ga_s2am_ard_3-2-1_53LND_2019-06-08_final.stac-item
2019-07-27 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2019-07-27_final.stac-item
2019-09-10 10:33:22	ga_s2am_ard_3-2-1_53KPR_2019-09-10_final.stac-item
2020-01-25 12:05:49	ga_s2am_ard_3-2-1_50JKN_2020-01-25_final.stac-item
2020-04-02 11:23:54	ga_s2am_ard_3-2-1_52KBU_2020-04-02_final.stac-item
2020-04-16 11:05:26	ga_s2am_ard_3-2-1_52JFN_2020-04-16_final.stac-item
2020-05-30 10:45:14	ga_s2am_ard_3-2-1_53JMJ_2020-05-30_final.stac-item
2020-06-26 10:36:27	ga_s2am_ard_3-2-1_53HND_2020-06-26_final.stac-item
2020-07-28 11:13:42	ga_s2am_ard_3-2-1_52KCA_2020-07-28_final.stac-item
2020-08-20 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2020-08-20_final.stac-item
2020-10-11 10:24:25	ga_s2am_ard_3-2-1_54JTS_2020-10-11_final.stac-item
2020-10-19 11:26:28	ga_s2am_ard_3-2-1_51HXE_2020-10-19_final.stac-item
2020-10-22 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-10-22_final.stac-item
2020-11-28 11:26:41	ga_s2am_ard_3-2-1_51HWD_2020-11-28_final.stac-item
2020-11-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-11-30_final.stac-item
2020-12-08 11:23:22	ga_s2am_ard_3-2-1_51KYS_2020-12-08_final.stac-item
2020-12-11 11:31:45	ga_s2am_ard_3-2-1_51LZC_2020-12-11_final.stac-item
2020-12-24 11:42:27	ga_s2am_ard_3-2-1_51KVA_2020-12-24_final.stac-item
2021-01-12 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-12_final.stac-item
2021-01-27 11:22:27	ga_s2am_ard_3-2-1_51KYA_2021-01-27_final.stac-item
2021-01-31 11:03:19	ga_s2am_ard_3-2-1_53KKR_2021-01-31_final.stac-item
2021-03-15 11:16:43	ga_s2am_ard_3-2-1_51HWD_2021-03-15_final.stac-item
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final.stac-item
2021-04-13 10:07:02	ga_s2am_ard_3-2-1_54HXE_2021-04-13_final.stac-item
2021-05-10 11:33:01	ga_s2am_ard_3-2-1_51KYT_2021-05-10_final.stac-item
2021-05-10 11:33:23	ga_s2am_ard_3-2-1_51KXS_2021-05-10_final.stac-item
2021-06-24 10:42:13	ga_s2am_ard_3-2-1_53KRV_2021-06-24_final.stac-item
2021-07-20 11:05:48	ga_s2am_ard_3-2-1_52JEM_2021-07-20_final.stac-item
2021-07-22 11:45:28	ga_s2am_ard_3-2-1_50JNQ_2021-07-22_final.stac-item
2021-07-24 10:46:09	ga_s2am_ard_3-2-1_53HME_2021-07-24_final.stac-item
2021-10-10 10:06:55	ga_s2am_ard_3-2-1_54HYF_2021-10-10_final.stac-item
2021-12-02 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-12-02_final.stac-item
2021-12-18 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-12-18_final.stac-item
2021-12-22 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-12-22_final.stac-item
2022-02-06 10:34:14	ga_s2am_ard_3-2-1_53JRM_2022-02-06_final.stac-item
2022-03-28 10:35:04	ga_s2am_ard_3-2-1_53JQJ_2022-03-28_final.stac-item
2022-03-30 11:15:45	ga_s2am_ard_3-2-1_51JXH_2022-03-30_final.stac-item
2022-04-22 11:26:40	ga_s2am_ard_3-2-1_51HXD_2022-04-22_final.stac-item
2022-04-24 10:22:18	ga_s2am_ard_3-2-1_54KWE_2022-04-24_final.stac-item
2022-06-03 12:05:52	ga_s2am_ard_3-2-1_49JGJ_2022-06-03_final.stac-item
2022-06-30 10:16:33	ga_s2am_ard_3-2-1_54HTJ_2022-06-30_final.stac-item
2022-08-22 10:24:28	ga_s2am_ard_3-2-1_54JUS_2022-08-22_final.stac-item
2022-09-08 10:13:15	ga_s2am_ard_3-2-1_54KWB_2022-09-08_final.stac-item
2022-09-11 10:23:49	ga_s2am_ard_3-2-1_54KUV_2022-09-11_final.stac-item
2022-09-12 11:33:32	ga_s2am_ard_3-2-1_51KUT_2022-09-12_final.stac-item
2022-10-02 09:57:58	ga_s2am_ard_3-2-1_54HYB_2022-10-02_final.stac-item
2022-11-04 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-11-04_final.stac-item
2022-11-11 09:56:00	ga_s2am_ard_3-2-1_54HYK_2022-11-11_final.stac-item
2022-11-16 10:43:50	ga_s2am_ard_3-2-1_53KPP_2022-11-16_final.stac-item
2022-11-25 11:15:42	ga_s2am_ard_3-2-1_51JXH_2022-11-25_final.stac-item
2023-02-21 10:31:46	ga_s2am_ard_3-2-1_54KTG_2023-02-21_nrt.stac-item
2023-02-21 10:31:46	ga_s2am_ard_3-2-1_54KTG_2023-02-21_final
2023-03-23 12:14:29	ga_s2am_ard_3-2-1_49KFP_2023-03-23_nrt
2023-03-28 11:23:18	ga_s2am_ard_3-2-1_52KBB_2023-03-28_final
2023-05-20 11:32:31	ga_s2am_ard_3-2-1_51KWA_2023-05-20_final
2023-07-06 11:24:46	ga_s2am_ard_3-2-1_51JXM_2023-07-06_final
2023-07-26 11:25:58	ga_s2am_ard_3-2-1_51JXG_2023-07-26_final
2023-07-31 10:33:51	ga_s2am_ard_3-2-1_53KRP_2023-07-31_final
2023-08-07 10:25:33	ga_s2am_ard_3-2-1_54JUM_2023-08-07_final
2023-09-16 10:24:39	ga_s2am_ard_3-2-1_54JTR_2023-09-16_final
2023-10-07 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2023-10-07_final
2023-10-27 11:32:19	ga_s2am_ard_3-2-1_51KVB_2023-10-27_final
2023-12-13 09:48:04	ga_s2am_ard_3-2-1_54GYA_2023-12-13_final
2023-12-23 11:22:08	ga_s2am_ard_3-2-1_51KYB_2023-12-23_final
2024-03-04 10:24:22	ga_s2am_ard_3-2-1_54JTS_2024-03-04_final
2024-03-24 10:25:06	ga_s2am_ard_3-2-1_53JQJ_2024-03-24_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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