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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMG_2015-11-21_final
2015-12-04 11:57:46	ga_s2am_ard_3-2-1_50LRK_2015-12-04_final
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HUD_2015-12-25_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGN_2016-02-18_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_50KKA_2016-03-29_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKQ_2016-05-15_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HVC_2016-07-22_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_51HXD_2016-09-07_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50JPL_2016-11-15_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMG_2016-12-15_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HPK_2017-06-13_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KKA_2017-07-29_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKQ_2017-08-08_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50KRD_2017-09-01_final.stac-item
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLN_2017-12-16_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JLN_2018-01-05_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KMA_2018-01-12_final.stac-item
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51HVC_2018-04-03_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKM_2018-04-12_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPK_2018-04-16_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JML_2018-06-01_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50KRC_2018-08-07_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLQ_2018-08-30_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HVE_2018-10-23_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KRD_2018-11-05_final.stac-item
2018-12-29 11:26:29	ga_s2am_ard_3-2-1_51HXD_2018-12-29_final.stac-item
2019-02-03 11:46:05	ga_s2am_ard_3-2-1_50JNM_2019-02-03_final.stac-item
2019-02-06 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-02-06_final.stac-item
2019-02-26 11:56:00	ga_s2am_ard_3-2-1_50JNM_2019-02-26_final.stac-item
2019-03-02 11:34:38	ga_s2am_ard_3-2-1_51JVM_2019-03-02_final.stac-item
2019-03-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-11_final.stac-item
2019-04-04 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-04-04_final.stac-item
2019-04-08 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2019-04-08_final.stac-item
2019-04-21 11:37:00	ga_s2am_ard_3-2-1_51HUC_2019-04-21_final.stac-item
2019-05-24 11:43:07	ga_s2am_ard_3-2-1_50KRD_2019-05-24_final.stac-item
2019-06-06 11:56:06	ga_s2am_ard_3-2-1_50JNM_2019-06-06_final.stac-item
2019-07-27 11:26:37	ga_s2am_ard_3-2-1_51HUE_2019-07-27_final.stac-item
2019-09-14 11:56:35	ga_s2am_ard_3-2-1_50HMK_2019-09-14_final.stac-item
2019-10-07 12:03:22	ga_s2am_ard_3-2-1_50KNC_2019-10-07_final.stac-item
2019-12-13 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-12-13_final.stac-item
2020-01-23 11:26:29	ga_s2am_ard_3-2-1_51HXD_2020-01-23_final.stac-item
2020-01-29 11:46:12	ga_s2am_ard_3-2-1_50JPL_2020-01-29_final.stac-item
2020-02-08 11:45:36	ga_s2am_ard_3-2-1_51JTH_2020-02-08_final.stac-item
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final.stac-item
2020-03-29 11:46:11	ga_s2am_ard_3-2-1_50JQL_2020-03-29_final.stac-item
2020-04-15 11:36:19	ga_s2am_ard_3-2-1_50JQL_2020-04-15_final.stac-item
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-05-07_final.stac-item
2020-06-14 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-06-14_final.stac-item
2020-06-20 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-06-20_final.stac-item
2020-06-24 11:35:25	ga_s2am_ard_3-2-1_51JWJ_2020-06-24_final.stac-item
2020-07-03 12:03:38	ga_s2am_ard_3-2-1_50KNB_2020-07-03_final.stac-item
2020-07-17 11:43:23	ga_s2am_ard_3-2-1_50KRC_2020-07-17_final.stac-item
2020-07-30 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-07-30_final.stac-item
2020-09-05 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2020-09-05_final.stac-item
2020-09-22 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-09-22_final.stac-item
2020-12-04 11:44:29	ga_s2am_ard_3-2-1_50JRT_2020-12-04_final.stac-item
2021-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-02-09_final.stac-item
2021-03-18 11:26:31	ga_s2am_ard_3-2-1_51HUE_2021-03-18_final.stac-item
2021-03-20 12:04:12	ga_s2am_ard_3-2-1_50KKV_2021-03-20_final.stac-item
2021-04-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2021-04-23_final.stac-item
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-04-29_final.stac-item
2021-06-06 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-06-06_final.stac-item
2021-06-09 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-06-09_final.stac-item
2021-07-28 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-07-28_final.stac-item
2021-08-15 11:26:38	ga_s2am_ard_3-2-1_51HXD_2021-08-15_final.stac-item
2021-09-30 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-09-30_final.stac-item
2021-10-21 11:16:49	ga_s2am_ard_3-2-1_51HWD_2021-10-21_final.stac-item
2021-11-08 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-11-08_final.stac-item
2021-11-25 12:03:23	ga_s2am_ard_3-2-1_50KMC_2021-11-25_final.stac-item
2021-12-09 11:43:20	ga_s2am_ard_3-2-1_50KQC_2021-12-09_final.stac-item
2021-12-20 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-12-20_final.stac-item
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final.stac-item
2022-02-28 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-02-28_final.stac-item
2022-03-05 12:05:10	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final.stac-item
2022-04-02 11:25:05	ga_s2am_ard_3-2-1_51JVL_2022-04-02_final.stac-item
2022-05-02 11:26:41	ga_s2am_ard_3-2-1_51HXD_2022-05-02_final.stac-item
2022-06-24 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-06-24_final.stac-item
2022-06-30 11:52:47	ga_s2am_ard_3-2-1_50KQF_2022-06-30_final
2022-07-23 12:03:52	ga_s2am_ard_3-2-1_50KLB_2022-07-23_final.stac-item
2022-07-24 11:35:52	ga_s2am_ard_3-2-1_51JVH_2022-07-24_final.stac-item
2022-08-19 11:54:09	ga_s2am_ard_3-2-1_50KMA_2022-08-19_final.stac-item
2022-09-09 11:26:11	ga_s2am_ard_3-2-1_51JVG_2022-09-09_final.stac-item
2022-09-25 11:46:15	ga_s2am_ard_3-2-1_50JNM_2022-09-25_final.stac-item
2022-11-14 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-11-14_final.stac-item
2022-11-23 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-11-23_final.stac-item
2022-12-11 11:36:29	ga_s2am_ard_3-2-1_51HUE_2022-12-11_final.stac-item
2022-12-21 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2022-12-21_final.stac-item
2023-02-01 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-01_final.stac-item
2023-02-22 11:45:08	ga_s2am_ard_3-2-1_50JQR_2023-02-22_final
2023-04-19 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-04-19_final
2023-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-05-19_final
2023-06-05 11:56:08	ga_s2am_ard_3-2-1_50JNM_2023-06-05_final
2023-07-06 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-06_final
2023-07-16 11:25:50	ga_s2am_ard_3-2-1_51JWH_2023-07-16_final
2023-07-16 11:25:52	ga_s2am_ard_3-2-1_51JVH_2023-07-16_final
2023-10-13 11:55:48	ga_s2am_ard_3-2-1_50JLN_2023-10-13_final
2023-11-29 11:46:15	ga_s2am_ard_3-2-1_50JNL_2023-11-29_final
2023-12-15 12:05:33	ga_s2am_ard_3-2-1_50JLP_2023-12-15_final
2024-01-11 11:56:13	ga_s2am_ard_3-2-1_50JNL_2024-01-11_final
2024-01-21 11:55:52	ga_s2am_ard_3-2-1_50JKN_2024-01-21_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