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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMS_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMT_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMA_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMB_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMC_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMU_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMV_2015-10-28_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMH_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMJ_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMK_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JML_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMM_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMN_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMP_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMQ_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JMR_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMG_2015-11-14_final
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMH_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMK_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMM_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMN_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMP_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMQ_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMR_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMG_2015-12-04_final
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_50KMA_2016-01-26_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_50KMV_2016-01-26_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JMS_2016-01-26_final.stac-item
2018-12-15 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-15_final.stac-item
2018-12-15 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-15_final.stac-item
2018-12-18 11:55:15	ga_s2am_ard_3-2-1_50JMQ_2018-12-18_final.stac-item
2018-12-18 11:55:30	ga_s2am_ard_3-2-1_50JMP_2018-12-18_final.stac-item
2018-12-18 11:55:44	ga_s2am_ard_3-2-1_50JMN_2018-12-18_final.stac-item
2018-12-18 11:55:59	ga_s2am_ard_3-2-1_50JMM_2018-12-18_final.stac-item
2018-12-18 11:56:13	ga_s2am_ard_3-2-1_50JML_2018-12-18_final.stac-item
2018-12-18 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-18_final.stac-item
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final.stac-item
2018-12-18 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-18_final.stac-item
2018-12-28 11:56:03	ga_s2am_ard_3-2-1_50JMM_2018-12-28_final.stac-item
2018-12-28 11:56:15	ga_s2am_ard_3-2-1_50JML_2018-12-28_final.stac-item
2018-12-28 11:56:29	ga_s2am_ard_3-2-1_50HMK_2018-12-28_final.stac-item
2018-12-28 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2018-12-28_final.stac-item
2018-12-28 11:56:59	ga_s2am_ard_3-2-1_50HMH_2018-12-28_final.stac-item
2018-12-31 12:04:42	ga_s2am_ard_3-2-1_50JMS_2018-12-31_final.stac-item
2021-05-06 11:54:24	ga_s2am_ard_3-2-1_50KMU_2021-05-06_final.stac-item
2021-05-06 11:54:39	ga_s2am_ard_3-2-1_50JMT_2021-05-06_final.stac-item
2021-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-05-13_final.stac-item
2021-06-18 12:03:23	ga_s2am_ard_3-2-1_50KMC_2021-06-18_final.stac-item
2021-06-18 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-06-18_final.stac-item
2021-06-18 12:03:52	ga_s2am_ard_3-2-1_50KMA_2021-06-18_final.stac-item
2021-06-18 12:04:07	ga_s2am_ard_3-2-1_50KMV_2021-06-18_final.stac-item
2021-06-18 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-06-18_final.stac-item
2021-06-18 12:04:36	ga_s2am_ard_3-2-1_50JMT_2021-06-18_final.stac-item
2021-06-18 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-06-18_final.stac-item
2021-06-22 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-22_final
2021-06-28 12:04:37	ga_s2am_ard_3-2-1_50JMT_2021-06-28_final.stac-item
2021-06-28 12:04:50	ga_s2am_ard_3-2-1_50JMS_2021-06-28_final.stac-item
2021-07-05 11:54:28	ga_s2am_ard_3-2-1_50KMU_2021-07-05_final.stac-item
2021-07-08 12:04:51	ga_s2am_ard_3-2-1_50JMS_2021-07-08_final.stac-item
2021-07-12 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-07-12_final.stac-item
2021-07-12 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-07-12_final
2021-07-18 12:03:27	ga_s2am_ard_3-2-1_50KMC_2021-07-18_final.stac-item
2021-07-18 12:03:41	ga_s2am_ard_3-2-1_50KMB_2021-07-18_final.stac-item
2021-07-18 12:03:55	ga_s2am_ard_3-2-1_50KMA_2021-07-18_final.stac-item
2021-07-18 12:04:10	ga_s2am_ard_3-2-1_50KMV_2021-07-18_final.stac-item
2021-07-18 12:04:25	ga_s2am_ard_3-2-1_50KMU_2021-07-18_final.stac-item
2021-07-18 12:04:39	ga_s2am_ard_3-2-1_50JMT_2021-07-18_final.stac-item
2021-07-18 12:04:52	ga_s2am_ard_3-2-1_50JMS_2021-07-18_final.stac-item
2021-10-23 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-23_final.stac-item
2021-10-23 11:57:11	ga_s2am_ard_3-2-1_50HMH_2021-10-23_final.stac-item
2021-11-29 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-11-29_final.stac-item
2021-12-05 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-12-05_final.stac-item
2021-12-05 12:03:37	ga_s2am_ard_3-2-1_50KMB_2021-12-05_final.stac-item
2021-12-05 12:03:51	ga_s2am_ard_3-2-1_50KMA_2021-12-05_final.stac-item
2021-12-05 12:04:06	ga_s2am_ard_3-2-1_50KMV_2021-12-05_final.stac-item
2021-12-05 12:04:21	ga_s2am_ard_3-2-1_50KMU_2021-12-05_final.stac-item
2021-12-05 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-12-05_final.stac-item
2021-12-05 12:04:48	ga_s2am_ard_3-2-1_50JMS_2021-12-05_final.stac-item
2021-12-09 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-12-09_final.stac-item
2021-12-15 12:03:23	ga_s2am_ard_3-2-1_50KMC_2021-12-15_final.stac-item
2021-12-15 12:03:37	ga_s2am_ard_3-2-1_50KMB_2021-12-15_final.stac-item
2021-12-15 12:03:52	ga_s2am_ard_3-2-1_50KMA_2021-12-15_final.stac-item
2021-12-15 12:04:06	ga_s2am_ard_3-2-1_50KMV_2021-12-15_final.stac-item
2021-12-15 12:04:21	ga_s2am_ard_3-2-1_50KMU_2021-12-15_final.stac-item
2021-12-15 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-12-15_final.stac-item
2021-12-15 12:04:48	ga_s2am_ard_3-2-1_50JMS_2021-12-15_final.stac-item
2022-01-04 12:03:25	ga_s2am_ard_3-2-1_50KMC_2022-01-04_final.stac-item
2022-01-04 12:03:39	ga_s2am_ard_3-2-1_50KMB_2022-01-04_final.stac-item
2022-01-04 12:03:54	ga_s2am_ard_3-2-1_50KMA_2022-01-04_final.stac-item
2022-01-04 12:04:08	ga_s2am_ard_3-2-1_50KMV_2022-01-04_final.stac-item
2022-01-04 12:04:23	ga_s2am_ard_3-2-1_50KMU_2022-01-04_final.stac-item
2022-01-04 12:04:37	ga_s2am_ard_3-2-1_50JMT_2022-01-04_final.stac-item
2022-01-14 12:03:24	ga_s2am_ard_3-2-1_50KMC_2022-01-14_final.stac-item
2022-01-14 12:03:38	ga_s2am_ard_3-2-1_50KMB_2022-01-14_final.stac-item
2022-01-14 12:03:53	ga_s2am_ard_3-2-1_50KMA_2022-01-14_final.stac-item
2022-01-14 12:04:07	ga_s2am_ard_3-2-1_50KMV_2022-01-14_final.stac-item
2022-01-14 12:04:22	ga_s2am_ard_3-2-1_50KMU_2022-01-14_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