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
2019-07-18 10:53:54	ga_s2am_ard_3-2-1_53KMP_2019-07-18_final.stac-item
2019-07-18 10:53:59	ga_s2am_ard_3-2-1_53KLP_2019-07-18_final.stac-item
2019-07-18 10:54:02	ga_s2am_ard_3-2-1_53KKP_2019-07-18_final.stac-item
2019-07-18 10:54:02	ga_s2am_ard_3-2-1_52KHU_2019-07-18_final.stac-item
2019-07-18 10:54:06	ga_s2am_ard_3-2-1_52KGU_2019-07-18_final.stac-item
2019-07-18 10:54:17	ga_s2am_ard_3-2-1_52JHT_2019-07-18_final.stac-item
2019-07-18 10:54:20	ga_s2am_ard_3-2-1_52JGT_2019-07-18_final.stac-item
2020-07-07 11:44:27	ga_s2am_ard_3-2-1_50KPU_2020-07-07_final.stac-item
2020-07-07 11:44:35	ga_s2am_ard_3-2-1_50JRT_2020-07-07_final.stac-item
2020-07-07 11:44:39	ga_s2am_ard_3-2-1_50JQT_2020-07-07_final.stac-item
2021-05-19 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-05-19_final.stac-item
2021-05-19 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-05-19_final.stac-item
2021-05-19 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-05-19_final.stac-item
2021-05-19 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-05-19_final.stac-item
2021-05-19 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-05-19_final.stac-item
2021-05-21 11:03:57	ga_s2am_ard_3-2-1_52KGU_2021-05-21_final.stac-item
2021-05-21 11:04:00	ga_s2am_ard_3-2-1_52KFU_2021-05-21_final.stac-item
2021-05-21 11:04:04	ga_s2am_ard_3-2-1_52KEU_2021-05-21_final.stac-item
2021-05-21 11:04:07	ga_s2am_ard_3-2-1_52KDU_2021-05-21_final.stac-item
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final.stac-item
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final.stac-item
2021-05-26 10:13:34	ga_s2am_ard_3-2-1_54KZU_2021-05-26_final.stac-item
2021-05-26 10:13:38	ga_s2am_ard_3-2-1_54KYU_2021-05-26_final.stac-item
2021-05-26 10:13:42	ga_s2am_ard_3-2-1_54KXU_2021-05-26_final.stac-item
2021-05-26 10:13:45	ga_s2am_ard_3-2-1_54KWU_2021-05-26_final.stac-item
2021-05-26 10:13:46	ga_s2am_ard_3-2-1_54JZT_2021-05-26_final.stac-item
2021-05-26 10:13:52	ga_s2am_ard_3-2-1_54JYT_2021-05-26_final.stac-item
2021-05-31 11:03:57	ga_s2am_ard_3-2-1_52KGU_2021-05-31_final.stac-item
2021-05-31 11:04:01	ga_s2am_ard_3-2-1_52KFU_2021-05-31_final.stac-item
2021-05-31 11:04:04	ga_s2am_ard_3-2-1_52KEU_2021-05-31_final.stac-item
2021-05-31 11:04:07	ga_s2am_ard_3-2-1_52KDU_2021-05-31_final.stac-item
2021-06-01 10:33:42	ga_s2am_ard_3-2-1_54KUU_2021-06-01_final.stac-item
2021-06-01 10:33:46	ga_s2am_ard_3-2-1_54KTU_2021-06-01_final.stac-item
2021-06-01 10:33:46	ga_s2am_ard_3-2-1_53KRP_2021-06-01_final.stac-item
2021-06-01 10:33:50	ga_s2am_ard_3-2-1_53KQP_2021-06-01_final.stac-item
2021-06-01 10:33:54	ga_s2am_ard_3-2-1_53KPP_2021-06-01_final.stac-item
2021-06-01 10:34:00	ga_s2am_ard_3-2-1_53JRN_2021-06-01_final.stac-item
2021-06-01 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-06-01_final.stac-item
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final.stac-item
2021-06-01 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-01_final.stac-item
2021-06-02 10:03:32	ga_s2am_ard_3-2-1_55KDP_2021-06-02_final.stac-item
2021-06-02 10:03:36	ga_s2am_ard_3-2-1_55KCP_2021-06-02_final.stac-item
2021-06-02 10:03:39	ga_s2am_ard_3-2-1_55KBP_2021-06-02_final.stac-item
2021-06-02 10:03:39	ga_s2am_ard_3-2-1_54KZU_2021-06-02_final.stac-item
2021-06-02 10:03:43	ga_s2am_ard_3-2-1_54KYU_2021-06-02_final.stac-item
2021-06-02 10:03:53	ga_s2am_ard_3-2-1_54JZT_2021-06-02_final.stac-item
2021-06-02 10:03:57	ga_s2am_ard_3-2-1_54JYT_2021-06-02_final.stac-item
2021-06-08 12:04:22	ga_s2am_ard_3-2-1_50KMU_2021-06-08_final.stac-item
2021-06-08 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-06-08_final.stac-item
2021-06-08 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-06-08_final.stac-item
2021-06-08 12:04:29	ga_s2am_ard_3-2-1_50KKU_2021-06-08_final.stac-item
2021-06-08 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-06-08_final.stac-item
2021-06-08 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-06-08_final.stac-item
2021-06-08 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-06-08_final.stac-item
2021-06-11 10:33:42	ga_s2am_ard_3-2-1_54KUU_2021-06-11_final.stac-item
2021-06-11 10:33:46	ga_s2am_ard_3-2-1_54KTU_2021-06-11_final.stac-item
2021-06-11 10:33:46	ga_s2am_ard_3-2-1_53KRP_2021-06-11_final.stac-item
2021-06-11 10:33:50	ga_s2am_ard_3-2-1_53KQP_2021-06-11_final.stac-item
2021-06-11 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-06-11_final.stac-item
2021-06-11 10:34:00	ga_s2am_ard_3-2-1_53JRN_2021-06-11_final.stac-item
2021-06-11 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-06-11_final.stac-item
2021-06-16 11:24:04	ga_s2am_ard_3-2-1_51KZP_2021-06-16_final.stac-item
2021-06-16 11:24:05	ga_s2am_ard_3-2-1_52KBU_2021-06-16_final.stac-item
2021-06-16 11:24:08	ga_s2am_ard_3-2-1_51KYP_2021-06-16_final.stac-item
2021-06-16 11:24:12	ga_s2am_ard_3-2-1_51KXP_2021-06-16_final.stac-item
2021-06-16 11:24:15	ga_s2am_ard_3-2-1_51KWP_2021-06-16_final.stac-item
2021-06-16 11:24:19	ga_s2am_ard_3-2-1_51JZN_2021-06-16_final.stac-item
2021-06-16 11:24:23	ga_s2am_ard_3-2-1_51JYN_2021-06-16_final.stac-item
2022-05-27 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-05-27_final.stac-item
2022-05-27 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-05-27_final.stac-item
2022-05-28 10:03:39	ga_s2am_ard_3-2-1_55KDP_2022-05-28_final.stac-item
2022-05-28 10:03:43	ga_s2am_ard_3-2-1_55KCP_2022-05-28_final.stac-item
2022-05-28 10:03:46	ga_s2am_ard_3-2-1_55KBP_2022-05-28_final.stac-item
2022-05-28 10:03:46	ga_s2am_ard_3-2-1_54KZU_2022-05-28_final.stac-item
2022-05-28 10:03:50	ga_s2am_ard_3-2-1_54KYU_2022-05-28_final.stac-item
2022-05-28 10:04:00	ga_s2am_ard_3-2-1_54JZT_2022-05-28_final.stac-item
2022-05-28 10:04:03	ga_s2am_ard_3-2-1_54JYT_2022-05-28_final.stac-item
2022-05-29 11:14:05	ga_s2am_ard_3-2-1_52KEU_2022-05-29_final.stac-item
2022-05-29 11:14:10	ga_s2am_ard_3-2-1_52KDU_2022-05-29_final.stac-item
2022-05-29 11:14:13	ga_s2am_ard_3-2-1_52KCU_2022-05-29_final.stac-item
2022-05-29 11:14:16	ga_s2am_ard_3-2-1_51KZP_2022-05-29_final.stac-item
2022-05-29 11:14:16	ga_s2am_ard_3-2-1_52KBU_2022-05-29_final.stac-item
2022-05-29 11:14:31	ga_s2am_ard_3-2-1_51JZN_2022-05-29_final.stac-item
2022-06-06 10:33:49	ga_s2am_ard_3-2-1_54KUU_2022-06-06_final.stac-item
2022-06-06 10:33:53	ga_s2am_ard_3-2-1_54KTU_2022-06-06_final.stac-item
2022-06-06 10:33:53	ga_s2am_ard_3-2-1_53KRP_2022-06-06_final.stac-item
2022-06-06 10:33:57	ga_s2am_ard_3-2-1_53KQP_2022-06-06_final.stac-item
2022-06-06 10:34:01	ga_s2am_ard_3-2-1_53KPP_2022-06-06_final.stac-item
2022-06-06 10:34:07	ga_s2am_ard_3-2-1_53JRN_2022-06-06_final.stac-item
2022-06-06 10:34:11	ga_s2am_ard_3-2-1_53JQN_2022-06-06_final.stac-item
2022-06-06 12:14:29	ga_s2am_ard_3-2-1_49KHP_2022-06-06_final.stac-item
2022-06-06 12:14:35	ga_s2am_ard_3-2-1_49KGP_2022-06-06_final.stac-item
2022-06-07 10:03:39	ga_s2am_ard_3-2-1_55KDP_2022-06-07_final.stac-item
2022-06-07 10:03:43	ga_s2am_ard_3-2-1_55KCP_2022-06-07_final.stac-item
2022-06-07 10:03:46	ga_s2am_ard_3-2-1_55KBP_2022-06-07_final.stac-item
2022-06-07 10:03:46	ga_s2am_ard_3-2-1_54KZU_2022-06-07_final.stac-item
2022-06-07 10:03:51	ga_s2am_ard_3-2-1_54KYU_2022-06-07_final.stac-item
2022-06-07 10:04:01	ga_s2am_ard_3-2-1_54JZT_2022-06-07_final.stac-item
2022-06-07 10:04:04	ga_s2am_ard_3-2-1_54JYT_2022-06-07_final.stac-item
2022-06-08 09:33:33	ga_s2am_ard_3-2-1_56KMU_2022-06-08_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