Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HWD_2016-04-30_final.stac-item
2016-08-16 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-08-16_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVV_2017-01-01_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLJ_2017-02-16_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51JZM_2017-03-06_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51KTT_2017-07-03_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51KVS_2017-07-03_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KLC_2017-07-29_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KLA_2017-08-18_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KUT_2017-08-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2017-11-19_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JZN_2018-01-13_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KUS_2018-01-19_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51JVG_2018-03-17_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50KQV_2018-06-11_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKS_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_50KKA_2018-07-17_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HNK_2018-07-18_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQG_2018-08-10_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JQP_2018-08-17_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51KVA_2018-09-06_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JML_2018-09-09_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KPC_2018-09-29_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLP_2018-09-29_final
2018-12-18 11:57:00	ga_s2am_ard_3-2-1_50HLH_2018-12-18_final
2019-01-04 11:43:12	ga_s2am_ard_3-2-1_51KTT_2019-01-04_final
2019-02-10 11:33:19	ga_s2am_ard_3-2-1_51KUT_2019-02-10_final
2019-03-02 11:34:09	ga_s2am_ard_3-2-1_51KVP_2019-03-02_final
2019-05-31 11:32:49	ga_s2am_ard_3-2-1_51KVV_2019-05-31_final
2019-06-06 11:56:10	ga_s2am_ard_3-2-1_50JMM_2019-06-06_final
2019-06-17 11:26:15	ga_s2am_ard_3-2-1_51JWF_2019-06-17_final
2019-06-27 11:26:52	ga_s2am_ard_3-2-1_51HUD_2019-06-27_final
2019-07-24 11:17:04	ga_s2am_ard_3-2-1_51HWC_2019-07-24_final.stac-item
2019-09-21 11:42:28	ga_s2am_ard_3-2-1_51KVA_2019-09-21_final
2019-10-14 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-10-14_final
2019-11-07 11:37:05	ga_s2am_ard_3-2-1_50HQH_2019-11-07_final
2019-11-30 11:45:06	ga_s2am_ard_3-2-1_50JPR_2019-11-30_final
2019-12-01 11:16:07	ga_s2am_ard_3-2-1_51JYF_2019-12-01_final
2019-12-14 11:25:52	ga_s2am_ard_3-2-1_51JWG_2019-12-14_final
2019-12-17 11:32:14	ga_s2am_ard_3-2-1_51KVB_2019-12-17_final
2019-12-27 11:36:37	ga_s2am_ard_3-2-1_51HUD_2019-12-27_final
2020-01-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2020-01-28_final
2020-02-04 12:05:47	ga_s2am_ard_3-2-1_50JKN_2020-02-04_final
2020-03-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2020-03-22_final.stac-item
2020-04-18 11:42:28	ga_s2am_ard_3-2-1_51KVA_2020-04-18_final
2020-04-18 11:46:38	ga_s2am_ard_3-2-1_50HNK_2020-04-18_final
2020-06-30 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-30_final
2020-07-08 11:16:41	ga_s2am_ard_3-2-1_51HYD_2020-07-08_final
2020-08-12 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-08-12_final
2020-08-16 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-08-16_final
2020-09-12 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-09-12_final
2020-09-14 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-14_final
2020-09-28 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-09-28_final
2020-10-01 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-10-01_final
2020-10-02 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-10-02_final
2021-01-27 11:26:48	ga_s2am_ard_3-2-1_51HUD_2021-01-27_final
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final
2021-03-04 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-03-04_final
2021-03-27 11:57:21	ga_s2am_ard_3-2-1_50HLG_2021-03-27_final.stac-item
2021-04-10 11:36:42	ga_s2am_ard_3-2-1_51HTD_2021-04-10_final
2021-05-16 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-05-16_final
2021-06-29 11:36:19	ga_s2am_ard_3-2-1_51JTF_2021-06-29_final
2021-07-02 11:42:59	ga_s2am_ard_3-2-1_51KVU_2021-07-02_final
2021-12-26 11:32:40	ga_s2am_ard_3-2-1_51KVV_2021-12-26_final
2022-02-17 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-02-17_final
2022-02-24 11:36:36	ga_s2am_ard_3-2-1_50HQK_2022-02-24_final
2022-03-06 11:32:50	ga_s2am_ard_3-2-1_51KVV_2022-03-06_final
2022-03-30 11:14:26	ga_s2am_ard_3-2-1_51JZN_2022-03-30_final
2022-06-07 11:46:38	ga_s2am_ard_3-2-1_50HQK_2022-06-07_final
2022-06-11 11:25:19	ga_s2am_ard_3-2-1_51JXK_2022-06-11_final
2022-06-24 11:34:00	ga_s2am_ard_3-2-1_51KUR_2022-06-24_final
2022-07-20 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-07-20_final
2022-09-02 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-09-02_final.stac-item
2022-10-31 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-10-31_final.stac-item
2022-12-28 11:26:34	ga_s2am_ard_3-2-1_51HXD_2022-12-28_final.stac-item
2023-01-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-01-19_final.stac-item
2023-01-26 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-01-26_final.stac-item
2023-02-02 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-02-02_final.stac-item
2023-02-12 11:43:34	ga_s2am_ard_3-2-1_51KVR_2023-02-12_final.stac-item
2023-02-12 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-12_final.stac-item
2023-02-19 11:34:12	ga_s2am_ard_3-2-1_51JXN_2023-02-19_final.stac-item
2023-02-28 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-02-28_final.stac-item
2023-04-23 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2023-04-23_final.stac-item
2023-04-30 11:36:29	ga_s2am_ard_3-2-1_51HUE_2023-04-30_final.stac-item
2023-05-14 11:16:30	ga_s2am_ard_3-2-1_51HYD_2023-05-14_final.stac-item
2023-05-19 12:04:44	ga_s2am_ard_3-2-1_50JKT_2023-05-19_final.stac-item
2023-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-05-19_final.stac-item
2023-05-29 12:05:18	ga_s2am_ard_3-2-1_49JGL_2023-05-29_final.stac-item
2023-07-31 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-07-31_final.stac-item
2023-08-08 11:34:54	ga_s2am_ard_3-2-1_51JTM_2023-08-08_final.stac-item
2023-08-27 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-27_final.stac-item
2023-10-13 11:55:44	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-23 11:24:49	ga_s2am_ard_3-2-1_51JYL_2023-11-23_final.stac-item
2023-11-29 11:46:54	ga_s2am_ard_3-2-1_50HPH_2023-11-29_final.stac-item
2023-12-06 11:33:53	ga_s2am_ard_3-2-1_51KVQ_2023-12-06_final.stac-item
2023-12-13 11:26:43	ga_s2am_ard_3-2-1_51HUD_2023-12-13_final.stac-item
2024-01-24 12:03:13	ga_s2am_ard_3-2-1_50KNC_2024-01-24_final.stac-item
2024-03-21 11:54:20	ga_s2am_ard_3-2-1_50KPU_2024-03-21_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years