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
2020-03-06 11:31:16	ga_s2am_ard_3-2-1_51LZE_2020-03-06_final.stac-item
2020-03-10 11:14:05	ga_s2am_ard_3-2-1_51KZP_2020-03-10_final.stac-item
2020-03-10 11:14:05	ga_s2am_ard_3-2-1_52KBU_2020-03-10_final.stac-item
2020-03-10 11:14:19	ga_s2am_ard_3-2-1_51JZN_2020-03-10_final.stac-item
2020-03-10 11:14:19	ga_s2am_ard_3-2-1_52JBT_2020-03-10_final.stac-item
2020-03-10 11:14:34	ga_s2am_ard_3-2-1_51JZM_2020-03-10_final.stac-item
2020-03-10 11:14:34	ga_s2am_ard_3-2-1_52JBS_2020-03-10_final.stac-item
2020-03-10 11:14:49	ga_s2am_ard_3-2-1_52JBR_2020-03-10_final.stac-item
2020-03-10 11:15:03	ga_s2am_ard_3-2-1_52JBQ_2020-03-10_final.stac-item
2020-03-10 11:15:18	ga_s2am_ard_3-2-1_52JBP_2020-03-10_final.stac-item
2020-03-10 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2020-03-10_final.stac-item
2020-03-10 11:15:32	ga_s2am_ard_3-2-1_52JBN_2020-03-10_final.stac-item
2020-03-10 11:15:35	ga_s2am_ard_3-2-1_51JYH_2020-03-10_final.stac-item
2020-03-10 11:15:47	ga_s2am_ard_3-2-1_52JBM_2020-03-10_final.stac-item
2020-03-10 11:15:50	ga_s2am_ard_3-2-1_51JYG_2020-03-10_final.stac-item
2020-03-10 11:16:02	ga_s2am_ard_3-2-1_52JBL_2020-03-10_final.stac-item
2020-03-10 11:16:04	ga_s2am_ard_3-2-1_51JYF_2020-03-10_final.stac-item
2020-03-10 11:16:16	ga_s2am_ard_3-2-1_52HBK_2020-03-10_final.stac-item
2020-03-10 11:16:18	ga_s2am_ard_3-2-1_51HYE_2020-03-10_final.stac-item
2020-03-10 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-10_final.stac-item
2020-03-23 11:21:22	ga_s2am_ard_3-2-1_51LZE_2020-03-23_final.stac-item
2020-03-23 11:21:36	ga_s2am_ard_3-2-1_51LZD_2020-03-23_final.stac-item
2020-03-23 11:21:51	ga_s2am_ard_3-2-1_51LZC_2020-03-23_final.stac-item
2020-03-23 11:22:03	ga_s2am_ard_3-2-1_51KZB_2020-03-23_final.stac-item
2020-03-23 11:22:09	ga_s2am_ard_3-2-1_52KBG_2020-03-23_final.stac-item
2020-03-23 11:22:10	ga_s2am_ard_3-2-1_51KZB_2020-03-23_final.stac-item
2020-03-23 11:22:19	ga_s2am_ard_3-2-1_52KBF_2020-03-23_final.stac-item
2020-03-23 11:22:20	ga_s2am_ard_3-2-1_51KZA_2020-03-23_final.stac-item
2020-03-23 11:22:33	ga_s2am_ard_3-2-1_52KBE_2020-03-23_final.stac-item
2020-03-23 11:22:34	ga_s2am_ard_3-2-1_51KZV_2020-03-23_final.stac-item
2020-03-23 11:22:48	ga_s2am_ard_3-2-1_52KBD_2020-03-23_final.stac-item
2020-03-23 11:22:49	ga_s2am_ard_3-2-1_51KZU_2020-03-23_final.stac-item
2020-03-23 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-23_final.stac-item
2020-03-23 11:23:03	ga_s2am_ard_3-2-1_51KZT_2020-03-23_final.stac-item
2020-03-23 11:23:17	ga_s2am_ard_3-2-1_52KBB_2020-03-23_final.stac-item
2020-03-23 11:23:17	ga_s2am_ard_3-2-1_51KZS_2020-03-23_final.stac-item
2020-03-23 11:23:31	ga_s2am_ard_3-2-1_52KBA_2020-03-23_final.stac-item
2020-03-23 11:23:32	ga_s2am_ard_3-2-1_51KZR_2020-03-23_final.stac-item
2020-03-23 11:23:46	ga_s2am_ard_3-2-1_52KBV_2020-03-23_final.stac-item
2020-03-23 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2020-03-23_final.stac-item
2020-03-23 11:24:00	ga_s2am_ard_3-2-1_51KZP_2020-03-23_final.stac-item
2020-03-23 11:24:01	ga_s2am_ard_3-2-1_52KBU_2020-03-23_final.stac-item
2020-03-23 11:24:15	ga_s2am_ard_3-2-1_51JZN_2020-03-23_final.stac-item
2020-03-23 11:24:15	ga_s2am_ard_3-2-1_52JBT_2020-03-23_final.stac-item
2020-03-23 11:24:28	ga_s2am_ard_3-2-1_51JZM_2020-03-23_final.stac-item
2020-03-23 11:24:29	ga_s2am_ard_3-2-1_52JBS_2020-03-23_final.stac-item
2020-04-06 11:06:34	ga_s2am_ard_3-2-1_51HYD_2020-04-06_final.stac-item
2021-05-10 11:31:20	ga_s2am_ard_3-2-1_51LZE_2021-05-10_final.stac-item
2021-05-10 11:31:34	ga_s2am_ard_3-2-1_51LZD_2021-05-10_final.stac-item
2021-05-11 11:06:36	ga_s2am_ard_3-2-1_51HYD_2021-05-11_final.stac-item
2021-06-23 11:14:10	ga_s2am_ard_3-2-1_51KZP_2021-06-23_final.stac-item
2021-06-23 11:14:10	ga_s2am_ard_3-2-1_52KBU_2021-06-23_final.stac-item
2021-06-23 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-06-23_final.stac-item
2021-06-23 11:14:24	ga_s2am_ard_3-2-1_52JBT_2021-06-23_final.stac-item
2021-06-23 11:14:39	ga_s2am_ard_3-2-1_51JZM_2021-06-23_final.stac-item
2021-06-23 11:14:39	ga_s2am_ard_3-2-1_52JBS_2021-06-23_final.stac-item
2021-06-23 11:14:54	ga_s2am_ard_3-2-1_52JBR_2021-06-23_final.stac-item
2021-06-23 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2021-06-23_final.stac-item
2021-06-23 11:15:23	ga_s2am_ard_3-2-1_52JBP_2021-06-23_final.stac-item
2021-06-23 11:15:26	ga_s2am_ard_3-2-1_51JYJ_2021-06-23_final.stac-item
2021-06-23 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-06-23_final.stac-item
2021-06-23 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-06-23_final.stac-item
2021-06-23 11:15:52	ga_s2am_ard_3-2-1_52JBM_2021-06-23_final.stac-item
2021-06-23 11:15:55	ga_s2am_ard_3-2-1_51JYG_2021-06-23_final.stac-item
2021-06-23 11:16:07	ga_s2am_ard_3-2-1_52JBL_2021-06-23_final.stac-item
2021-06-23 11:16:09	ga_s2am_ard_3-2-1_51JYF_2021-06-23_final.stac-item
2021-06-23 11:16:21	ga_s2am_ard_3-2-1_52HBK_2021-06-23_final.stac-item
2021-06-23 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-23_final.stac-item
2021-06-23 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-06-23_final.stac-item
2021-06-26 11:22:25	ga_s2am_ard_3-2-1_51KZA_2021-06-26_final.stac-item
2022-03-13 11:23:10	ga_s2am_ard_3-2-1_52KBC_2022-03-13_final.stac-item
2022-03-13 11:23:11	ga_s2am_ard_3-2-1_51KZT_2022-03-13_final.stac-item
2022-03-13 11:23:22	ga_s2am_ard_3-2-1_52KBB_2022-03-13_final.stac-item
2022-03-13 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-03-13_final.stac-item
2022-03-13 11:23:29	ga_s2am_ard_3-2-1_52KBB_2022-03-13_final.stac-item
2022-03-13 11:23:30	ga_s2am_ard_3-2-1_51KZS_2022-03-13_final.stac-item
2022-03-13 11:23:39	ga_s2am_ard_3-2-1_52KBA_2022-03-13_final.stac-item
2022-03-13 11:23:39	ga_s2am_ard_3-2-1_51KZR_2022-03-13_final.stac-item
2022-03-13 11:23:53	ga_s2am_ard_3-2-1_52KBV_2022-03-13_final.stac-item
2022-03-13 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2022-03-13_final.stac-item
2022-03-13 11:24:08	ga_s2am_ard_3-2-1_51KZP_2022-03-13_final.stac-item
2022-03-13 11:24:08	ga_s2am_ard_3-2-1_52KBU_2022-03-13_final.stac-item
2022-03-13 11:24:23	ga_s2am_ard_3-2-1_52JBT_2022-03-13_final.stac-item
2022-03-13 11:24:23	ga_s2am_ard_3-2-1_51JZN_2022-03-13_final.stac-item
2022-03-13 11:24:36	ga_s2am_ard_3-2-1_51JZM_2022-03-13_final.stac-item
2022-03-13 11:24:36	ga_s2am_ard_3-2-1_52JBS_2022-03-13_final.stac-item
2022-03-16 11:31:24	ga_s2am_ard_3-2-1_51LZE_2022-03-16_final.stac-item
2022-03-16 11:31:39	ga_s2am_ard_3-2-1_51LZD_2022-03-16_final.stac-item
2022-04-02 11:23:37	ga_s2am_ard_3-2-1_52KBA_2022-04-02_final.stac-item
2022-04-02 11:23:37	ga_s2am_ard_3-2-1_51KZR_2022-04-02_final.stac-item
2022-04-02 11:23:51	ga_s2am_ard_3-2-1_52KBV_2022-04-02_final.stac-item
2022-04-02 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2022-04-02_final.stac-item
2022-04-02 11:24:06	ga_s2am_ard_3-2-1_51KZP_2022-04-02_final.stac-item
2022-04-02 11:24:06	ga_s2am_ard_3-2-1_52KBU_2022-04-02_final.stac-item
2022-04-02 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-04-02_final.stac-item
2022-04-02 11:24:21	ga_s2am_ard_3-2-1_52JBT_2022-04-02_final.stac-item
2022-04-02 11:24:34	ga_s2am_ard_3-2-1_51JZM_2022-04-02_final.stac-item
2022-04-02 11:24:34	ga_s2am_ard_3-2-1_52JBS_2022-04-02_final.stac-item
2022-05-26 11:06:44	ga_s2am_ard_3-2-1_51HYD_2022-05-26_final.stac-item
2022-06-08 11:14:17	ga_s2am_ard_3-2-1_51KZP_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