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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMU_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KNU_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQA_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQU_2016-03-03_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHR_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKV_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLU_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLV_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KMU_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNC_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHP_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNN_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNR_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPP_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPT_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQN_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQP_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KQA_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KQU_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRU_2016-03-20_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGP_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGQ_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKA_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKV_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KGR_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHP_2016-05-18_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-28_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-28_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_50KKV_2016-05-28_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGH_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGJ_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLQ_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KNC_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGK_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQN_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQP_2016-06-05_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMK_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLM_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLT_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMT_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNR_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNS_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JPT_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JKM_2016-06-11_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_50KKA_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_50KKV_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_50KLV_2016-06-14_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HMK_2016-06-18_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JLM_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KNC_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKM_2016-06-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPH_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQH_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50JQN_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50JQP_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HUD_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPJ_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQJ_2016-06-25_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGK_2016-06-27_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKN_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLQ_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMP_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMQ_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNN_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNR_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNS_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JPP_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JPT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKP_2016-07-21_final.stac-item
2016-08-01 11:26:13	ga_s2am_ard_3-2-1_51HVE_2016-08-01_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HVE_2016-08-04_final.stac-item
2016-08-21 11:26:11	ga_s2am_ard_3-2-1_51HVE_2016-08-21_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HUD_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HVB_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HVC_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HXC_2016-08-31_final.stac-item
2022-11-24 11:43:03	ga_s2am_ard_3-2-1_50KRD_2022-11-24_final.stac-item
2022-11-24 11:43:36	ga_s2am_ard_3-2-1_50KQB_2022-11-24_final.stac-item
2022-11-24 11:43:50	ga_s2am_ard_3-2-1_50KQA_2022-11-24_final.stac-item
2022-11-24 11:44:15	ga_s2am_ard_3-2-1_50KRU_2022-11-24_final.stac-item
2022-11-24 11:44:19	ga_s2am_ard_3-2-1_50KQU_2022-11-24_final.stac-item
2022-11-24 11:44:37	ga_s2am_ard_3-2-1_50JPT_2022-11-24_final.stac-item
2022-11-24 11:45:11	ga_s2am_ard_3-2-1_50JNR_2022-11-24_final.stac-item
2022-11-24 11:45:31	ga_s2am_ard_3-2-1_50JQP_2022-11-24_final.stac-item
2022-11-24 11:45:35	ga_s2am_ard_3-2-1_50JPP_2022-11-24_final.stac-item
2022-11-24 11:45:46	ga_s2am_ard_3-2-1_50JQN_2022-11-24_final.stac-item
2022-11-24 11:45:53	ga_s2am_ard_3-2-1_50JNN_2022-11-24_final.stac-item
2022-11-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2022-11-24_final.stac-item
2022-11-24 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2022-11-24_final.stac-item
2022-11-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-11-24_final.stac-item
2022-11-24 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-11-24_final.stac-item
2022-11-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-24_final.stac-item
2022-11-24 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-11-24_final.stac-item
2022-11-24 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-11-24_final.stac-item
2022-11-24 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-11-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years