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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KWU_2015-12-08_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQH_2016-10-03_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-31_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KXR_2017-02-10_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVU_2017-02-13_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51JTN_2017-03-12_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMT_2017-04-27_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JNL_2017-05-04_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPK_2017-05-11_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JVH_2017-08-19_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JMM_2017-09-21_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWB_2017-12-17_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JLN_2018-02-24_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-02-27_final.stac-item
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51JXN_2018-04-06_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLN_2018-05-05_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGM_2018-05-15_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HTC_2018-09-13_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KUT_2018-09-26_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HVC_2018-10-10_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51HUE_2018-10-13_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-10-15_final.stac-item
2018-11-12 11:36:21	ga_s2am_ard_3-2-1_50JPL_2018-11-12_final.stac-item
2018-12-02 11:32:06	ga_s2am_ard_3-2-1_51KWB_2018-12-02_final.stac-item
2019-01-21 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2019-01-21_final.stac-item
2019-05-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-05-10_final.stac-item
2019-05-21 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-05-21_final.stac-item
2019-05-31 11:33:11	ga_s2am_ard_3-2-1_51KXT_2019-05-31_final.stac-item
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final.stac-item
2019-08-09 11:32:23	ga_s2am_ard_3-2-1_51KVB_2019-08-09_final.stac-item
2019-08-29 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-08-29_final.stac-item
2019-09-27 12:04:00	ga_s2am_ard_3-2-1_50KKA_2019-09-27_final.stac-item
2019-10-11 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-11_final.stac-item
2019-10-25 11:26:50	ga_s2am_ard_3-2-1_51HUD_2019-10-25_final.stac-item
2019-11-10 11:43:38	ga_s2am_ard_3-2-1_51KVR_2019-11-10_final.stac-item
2019-12-03 11:53:34	ga_s2am_ard_3-2-1_50KPB_2019-12-03_final.stac-item
2019-12-14 11:23:09	ga_s2am_ard_3-2-1_51KXT_2019-12-14_final.stac-item
2019-12-27 11:34:05	ga_s2am_ard_3-2-1_51KWP_2019-12-27_final.stac-item
2020-02-01 11:56:32	ga_s2am_ard_3-2-1_50HLK_2020-02-01_final.stac-item
2020-02-18 11:42:40	ga_s2am_ard_3-2-1_51KUV_2020-02-18_final.stac-item
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final.stac-item
2020-03-06 11:33:18	ga_s2am_ard_3-2-1_51KUT_2020-03-06_final.stac-item
2020-05-02 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2020-05-02_final.stac-item
2020-05-05 11:36:41	ga_s2am_ard_3-2-1_50HPK_2020-05-05_final.stac-item
2020-05-22 11:23:48	ga_s2am_ard_3-2-1_51KXR_2020-05-22_final.stac-item
2020-05-28 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-05-28_final.stac-item
2020-05-31 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-05-31_final.stac-item
2020-06-04 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-06-04_final.stac-item
2020-06-14 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-06-14_final.stac-item
2020-08-06 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-08-06_final.stac-item
2020-08-16 11:46:11	ga_s2am_ard_3-2-1_50JPM_2020-08-16_final.stac-item
2020-08-23 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-08-23_final.stac-item
2020-09-19 11:24:34	ga_s2am_ard_3-2-1_51JWN_2020-09-19_final.stac-item
2020-10-05 11:42:33	ga_s2am_ard_3-2-1_51KVA_2020-10-05_final.stac-item
2020-10-11 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-10-11_final.stac-item
2020-11-27 11:52:35	ga_s2am_ard_3-2-1_50KQF_2020-11-27_final
2020-12-04 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2020-12-04_final.stac-item
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final.stac-item
2021-01-13 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-01-13_final.stac-item
2021-02-26 11:23:43	ga_s2am_ard_3-2-1_51KXR_2021-02-26_final.stac-item
2021-03-10 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-03-10_final.stac-item
2021-04-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-04-29_final.stac-item
2021-05-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-05-23_final.stac-item
2021-08-15 11:23:45	ga_s2am_ard_3-2-1_51KXR_2021-08-15_final.stac-item
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final.stac-item
2021-08-31 11:42:29	ga_s2am_ard_3-2-1_51KVA_2021-08-31_final.stac-item
2021-09-10 11:43:25	ga_s2am_ard_3-2-1_51KVS_2021-09-10_final.stac-item
2021-09-30 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2021-09-30_final.stac-item
2021-12-06 11:33:26	ga_s2am_ard_3-2-1_51KWS_2021-12-06_final.stac-item
2021-12-06 11:36:45	ga_s2am_ard_3-2-1_51HTD_2021-12-06_final.stac-item
2022-01-01 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-01_final.stac-item
2022-01-15 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-01-15_final.stac-item
2022-02-16 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-02-16_final.stac-item
2022-03-16 11:33:07	ga_s2am_ard_3-2-1_51KWU_2022-03-16_final.stac-item
2022-04-14 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-04-14_final.stac-item
2022-04-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2022-04-28_final.stac-item
2022-06-23 12:04:46	ga_s2am_ard_3-2-1_50KKU_2022-06-23_final.stac-item
2022-07-24 11:32:51	ga_s2am_ard_3-2-1_51KXV_2022-07-24_final.stac-item
2022-07-27 11:42:23	ga_s2am_ard_3-2-1_51KVB_2022-07-27_final.stac-item
2022-08-03 11:33:52	ga_s2am_ard_3-2-1_51KWR_2022-08-03_final.stac-item
2022-10-05 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-10-05_final.stac-item
2022-12-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-12-13_final.stac-item
2023-01-12 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-01-12_final.stac-item
2023-02-18 12:04:36	ga_s2am_ard_3-2-1_50JLT_2023-02-18_final
2023-02-19 11:35:42	ga_s2am_ard_3-2-1_51JUH_2023-02-19_nrt.stac-item
2023-03-27 11:52:32	ga_s2am_ard_3-2-1_50KQF_2023-03-27_final
2023-04-10 11:32:55	ga_s2am_ard_3-2-1_51KXU_2023-04-10_final
2023-05-07 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2023-05-07_final
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-06-08_final
2023-07-29 11:33:32	ga_s2am_ard_3-2-1_51KWS_2023-07-29_final
2023-08-04 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-08-04_final
2023-10-27 11:36:46	ga_s2am_ard_3-2-1_51HTD_2023-10-27_final
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKN_2023-11-02_final
2023-12-09 11:46:48	ga_s2am_ard_3-2-1_50HQH_2023-12-09_final
2023-12-23 11:26:55	ga_s2am_ard_3-2-1_51HVC_2023-12-23_final
2024-02-14 11:32:12	ga_s2am_ard_3-2-1_51KWB_2024-02-14_final
2024-03-04 12:05:30	ga_s2am_ard_3-2-1_49JGK_2024-03-04_final
2024-03-18 11:46:30	ga_s2am_ard_3-2-1_50HQK_2024-03-18_final
2024-04-06 12:13:52	ga_s2am_ard_3-2-1_49KHR_2024-04-06_final
2024-04-24 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-04-24_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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