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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLN_2015-12-04_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JHM_2016-01-06_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGM_2016-04-18_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_51HYD_2016-06-06_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50HMK_2016-09-09_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-12-18_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_51JZN_2016-12-26_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-03-04_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KVT_2017-06-13_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KXS_2018-01-06_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVR_2018-01-26_final.stac-item
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWS_2018-02-15_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50KLC_2018-03-26_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JPS_2018-04-02_final.stac-item
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KWQ_2018-04-23_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLK_2018-05-02_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKM_2018-05-15_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KVT_2018-05-29_final.stac-item
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JYH_2018-07-22_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_50KKB_2018-08-26_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JKN_2018-10-19_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-11-01_final.stac-item
2018-12-02 11:33:33	ga_s2am_ard_3-2-1_51KWR_2018-12-02_final.stac-item
2018-12-29 11:23:21	ga_s2am_ard_3-2-1_51KXS_2018-12-29_final.stac-item
2019-03-12 11:32:21	ga_s2am_ard_3-2-1_51KXA_2019-03-12_final.stac-item
2019-03-12 11:33:05	ga_s2am_ard_3-2-1_51KXT_2019-03-12_final.stac-item
2019-04-01 11:33:31	ga_s2am_ard_3-2-1_51KVS_2019-04-01_final.stac-item
2019-04-01 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2019-04-01_final.stac-item
2019-05-04 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-05-04_final.stac-item
2019-05-11 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2019-05-11_final.stac-item
2019-05-31 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-05-31_final.stac-item
2019-05-31 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-05-31_final.stac-item
2019-07-20 11:33:36	ga_s2am_ard_3-2-1_51KVS_2019-07-20_final.stac-item
2019-08-05 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-08-05_final.stac-item
2019-09-01 11:43:15	ga_s2am_ard_3-2-1_51KUT_2019-09-01_final.stac-item
2019-10-31 11:43:21	ga_s2am_ard_3-2-1_51KTT_2019-10-31_final.stac-item
2019-11-04 11:23:42	ga_s2am_ard_3-2-1_51KYR_2019-11-04_final.stac-item
2020-01-12 11:53:05	ga_s2am_ard_3-2-1_50KRC_2020-01-12_final.stac-item
2020-02-15 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2020-02-15_final.stac-item
2020-02-18 11:43:30	ga_s2am_ard_3-2-1_51KVR_2020-02-18_final.stac-item
2020-03-13 11:26:58	ga_s2am_ard_3-2-1_51HUC_2020-03-13_final.stac-item
2020-03-19 11:45:58	ga_s2am_ard_3-2-1_51JTG_2020-03-19_final.stac-item
2020-04-08 11:43:12	ga_s2am_ard_3-2-1_51KUT_2020-04-08_final.stac-item
2020-04-22 11:25:11	ga_s2am_ard_3-2-1_51JXK_2020-04-22_final.stac-item
2020-07-24 11:33:36	ga_s2am_ard_3-2-1_51KVS_2020-07-24_final.stac-item
2020-08-06 11:45:27	ga_s2am_ard_3-2-1_50JPQ_2020-08-06_final.stac-item
2020-10-22 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-10-22_final.stac-item
2020-11-01 11:33:35	ga_s2am_ard_3-2-1_51KVS_2020-11-01_final.stac-item
2020-11-21 11:32:22	ga_s2am_ard_3-2-1_51KVB_2020-11-21_final.stac-item
2020-11-21 11:33:26	ga_s2am_ard_3-2-1_51KXS_2020-11-21_final.stac-item
2021-01-10 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-10_final.stac-item
2021-02-13 11:16:57	ga_s2am_ard_3-2-1_51HWC_2021-02-13_final
2021-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-03-23_final.stac-item
2021-04-13 11:44:32	ga_s2am_ard_3-2-1_50JPT_2021-04-13_final.stac-item
2021-05-13 11:43:11	ga_s2am_ard_3-2-1_51KVT_2021-05-13_final.stac-item
2021-06-02 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-06-02_final.stac-item
2021-06-19 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-06-19_final.stac-item
2021-07-19 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-07-19_final.stac-item
2021-07-31 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-31_final.stac-item
2021-08-11 11:43:14	ga_s2am_ard_3-2-1_51KVT_2021-08-11_final.stac-item
2021-08-18 11:33:44	ga_s2am_ard_3-2-1_51KWR_2021-08-18_final.stac-item
2021-09-17 11:33:24	ga_s2am_ard_3-2-1_51KUT_2021-09-17_final.stac-item
2021-09-27 11:33:20	ga_s2am_ard_3-2-1_51KVT_2021-09-27_final.stac-item
2021-11-23 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-11-23_final.stac-item
2021-12-06 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-12-06_final.stac-item
2021-12-16 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-12-16_final.stac-item
2022-01-18 11:43:44	ga_s2am_ard_3-2-1_51KUR_2022-01-18_final.stac-item
2022-02-20 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-02-20_final.stac-item
2022-03-05 12:03:30	ga_s2am_ard_3-2-1_50KLC_2022-03-05_final.stac-item
2022-04-15 11:33:16	ga_s2am_ard_3-2-1_51KWT_2022-04-15_final.stac-item
2022-04-15 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-04-15_final.stac-item
2022-04-21 11:52:24	ga_s2am_ard_3-2-1_50KQG_2022-04-21_final
2022-05-18 11:42:47	ga_s2am_ard_3-2-1_51KVV_2022-05-18_final.stac-item
2022-05-31 11:56:22	ga_s2am_ard_3-2-1_50JKM_2022-05-31_final.stac-item
2022-06-14 11:34:21	ga_s2am_ard_3-2-1_51KWP_2022-06-14_final.stac-item
2022-07-31 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2022-07-31_final.stac-item
2022-08-27 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-08-27_final.stac-item
2022-09-15 11:43:21	ga_s2am_ard_3-2-1_51KVT_2022-09-15_final.stac-item
2022-11-11 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-11-11_final.stac-item
2023-01-30 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-01-30_final.stac-item
2023-02-12 11:47:19	ga_s2am_ard_3-2-1_50HNG_2023-02-12_final
2023-03-07 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-03-07_final
2023-03-31 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-03-31_final
2023-04-30 11:33:42	ga_s2am_ard_3-2-1_51KWR_2023-04-30_final
2023-05-30 11:33:16	ga_s2am_ard_3-2-1_51KWT_2023-05-30_final
2023-06-09 11:32:18	ga_s2am_ard_3-2-1_51KWB_2023-06-09_final
2023-06-19 11:34:41	ga_s2am_ard_3-2-1_50JRT_2023-06-19_final
2023-07-21 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-07-21_final
2023-08-11 11:43:34	ga_s2am_ard_3-2-1_51KUS_2023-08-11_final
2023-08-31 11:43:05	ga_s2am_ard_3-2-1_51KUU_2023-08-31_final
2023-09-07 11:33:21	ga_s2am_ard_3-2-1_51KVT_2023-09-07_final
2023-09-27 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2023-09-27_final
2023-10-07 11:33:46	ga_s2am_ard_3-2-1_51KVR_2023-10-07_final
2023-10-10 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-10_final
2023-10-17 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-10-17_final
2023-11-09 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-11-09_final
2024-02-07 11:43:21	ga_s2am_ard_3-2-1_51KVS_2024-02-07_final
2024-02-21 11:23:26	ga_s2am_ard_3-2-1_51KXS_2024-02-21_final
2024-03-02 11:24:08	ga_s2am_ard_3-2-1_51KYP_2024-03-02_final
2024-04-04 11:33:31	ga_s2am_ard_3-2-1_51KUS_2024-04-04_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

All years