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
2019-02-09 10:22:35	ga_s2am_ard_3-2-1_54KXC_2019-02-09_final.stac-item
2019-02-09 10:22:39	ga_s2am_ard_3-2-1_54KWC_2019-02-09_final.stac-item
2019-02-09 10:22:42	ga_s2am_ard_3-2-1_54KVC_2019-02-09_final.stac-item
2019-02-09 10:22:45	ga_s2am_ard_3-2-1_54KUC_2019-02-09_final.stac-item
2019-02-09 10:22:50	ga_s2am_ard_3-2-1_54KXB_2019-02-09_final.stac-item
2019-02-14 11:12:57	ga_s2am_ard_3-2-1_52KEC_2019-02-14_final.stac-item
2019-02-14 11:13:01	ga_s2am_ard_3-2-1_52KDC_2019-02-14_final.stac-item
2019-02-14 11:13:04	ga_s2am_ard_3-2-1_52KCC_2019-02-14_final.stac-item
2019-02-14 11:13:10	ga_s2am_ard_3-2-1_52KBC_2019-02-14_final.stac-item
2019-02-14 11:13:12	ga_s2am_ard_3-2-1_52KEB_2019-02-14_final.stac-item
2019-02-14 11:13:15	ga_s2am_ard_3-2-1_52KDB_2019-02-14_final.stac-item
2019-02-14 11:13:18	ga_s2am_ard_3-2-1_52KCB_2019-02-14_final.stac-item
2019-02-14 11:13:22	ga_s2am_ard_3-2-1_52KBB_2019-02-14_final.stac-item
2019-02-19 10:22:35	ga_s2am_ard_3-2-1_54KXC_2019-02-19_final.stac-item
2019-02-19 10:22:38	ga_s2am_ard_3-2-1_54KWC_2019-02-19_final.stac-item
2019-02-19 10:22:41	ga_s2am_ard_3-2-1_54KVC_2019-02-19_final.stac-item
2019-02-19 10:22:44	ga_s2am_ard_3-2-1_54KUC_2019-02-19_final.stac-item
2019-02-19 10:22:49	ga_s2am_ard_3-2-1_54KXB_2019-02-19_final.stac-item
2019-02-19 10:22:53	ga_s2am_ard_3-2-1_54KWB_2019-02-19_final.stac-item
2019-02-19 10:22:56	ga_s2am_ard_3-2-1_54KVB_2019-02-19_final.stac-item
2019-02-19 10:22:59	ga_s2am_ard_3-2-1_54KUB_2019-02-19_final.stac-item
2021-06-19 09:52:28	ga_s2am_ard_3-2-1_55KGT_2021-06-19_final.stac-item
2021-06-19 09:52:32	ga_s2am_ard_3-2-1_55KFT_2021-06-19_final.stac-item
2021-06-19 09:52:35	ga_s2am_ard_3-2-1_55KET_2021-06-19_final.stac-item
2021-06-19 09:52:36	ga_s2am_ard_3-2-1_55KHS_2021-06-19_final.stac-item
2021-06-19 09:52:42	ga_s2am_ard_3-2-1_55KGS_2021-06-19_final.stac-item
2021-06-19 09:52:46	ga_s2am_ard_3-2-1_55KFS_2021-06-19_final.stac-item
2021-06-19 09:52:50	ga_s2am_ard_3-2-1_55KES_2021-06-19_final.stac-item
2021-06-25 10:12:41	ga_s2am_ard_3-2-1_54KYC_2021-06-25_final.stac-item
2021-06-25 10:12:44	ga_s2am_ard_3-2-1_54KXC_2021-06-25_final.stac-item
2021-06-25 10:12:55	ga_s2am_ard_3-2-1_54KYB_2021-06-25_final.stac-item
2021-06-25 10:12:59	ga_s2am_ard_3-2-1_54KXB_2021-06-25_final.stac-item
2021-07-02 10:02:32	ga_s2am_ard_3-2-1_55KET_2021-07-02_final.stac-item
2021-07-02 10:02:36	ga_s2am_ard_3-2-1_55KDT_2021-07-02_final.stac-item
2021-07-02 10:02:39	ga_s2am_ard_3-2-1_55KCT_2021-07-02_final.stac-item
2021-07-02 10:02:42	ga_s2am_ard_3-2-1_55KBT_2021-07-02_final.stac-item
2021-07-02 10:02:44	ga_s2am_ard_3-2-1_54KZC_2021-07-02_final.stac-item
2021-07-02 10:02:47	ga_s2am_ard_3-2-1_55KES_2021-07-02_final.stac-item
2021-07-02 10:02:50	ga_s2am_ard_3-2-1_55KDS_2021-07-02_final.stac-item
2021-07-02 10:02:54	ga_s2am_ard_3-2-1_55KCS_2021-07-02_final.stac-item
2021-07-02 10:02:56	ga_s2am_ard_3-2-1_55KBS_2021-07-02_final.stac-item
2021-07-02 10:02:57	ga_s2am_ard_3-2-1_54KZB_2021-07-02_final.stac-item
2021-08-25 11:23:05	ga_s2am_ard_3-2-1_52KCC_2021-08-25_final.stac-item
2021-08-25 11:23:08	ga_s2am_ard_3-2-1_52KBC_2021-08-25_final.stac-item
2021-08-25 11:23:09	ga_s2am_ard_3-2-1_51KZT_2021-08-25_final.stac-item
2021-08-25 11:23:12	ga_s2am_ard_3-2-1_51KYT_2021-08-25_final.stac-item
2021-08-25 11:23:15	ga_s2am_ard_3-2-1_51KXT_2021-08-25_final.stac-item
2021-08-25 11:23:18	ga_s2am_ard_3-2-1_52KCB_2021-08-25_final.stac-item
2021-08-25 11:23:22	ga_s2am_ard_3-2-1_52KBB_2021-08-25_final.stac-item
2021-08-25 11:23:23	ga_s2am_ard_3-2-1_51KZS_2021-08-25_final.stac-item
2021-08-25 11:23:27	ga_s2am_ard_3-2-1_51KYS_2021-08-25_final.stac-item
2021-08-25 11:23:30	ga_s2am_ard_3-2-1_51KXS_2021-08-25_final.stac-item
2021-08-31 11:43:13	ga_s2am_ard_3-2-1_51KVT_2021-08-31_final.stac-item
2021-08-31 11:43:16	ga_s2am_ard_3-2-1_51KUT_2021-08-31_final.stac-item
2021-08-31 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-08-31_final.stac-item
2021-08-31 11:43:20	ga_s2am_ard_3-2-1_50KRC_2021-08-31_final.stac-item
2021-08-31 11:43:23	ga_s2am_ard_3-2-1_50KQC_2021-08-31_final.stac-item
2021-08-31 11:43:26	ga_s2am_ard_3-2-1_51KVS_2021-08-31_final.stac-item
2021-08-31 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-08-31_final.stac-item
2021-08-31 11:43:34	ga_s2am_ard_3-2-1_51KTS_2021-08-31_final.stac-item
2021-08-31 11:43:34	ga_s2am_ard_3-2-1_50KRB_2021-08-31_final.stac-item
2021-08-31 11:43:38	ga_s2am_ard_3-2-1_50KQB_2021-08-31_final.stac-item
2021-09-03 10:12:51	ga_s2am_ard_3-2-1_55KBS_2021-09-03_final.stac-item
2021-09-03 10:12:51	ga_s2am_ard_3-2-1_54KZB_2021-09-03_final.stac-item
2021-09-03 10:12:55	ga_s2am_ard_3-2-1_54KYB_2021-09-03_final.stac-item
2021-09-03 10:12:59	ga_s2am_ard_3-2-1_54KXB_2021-09-03_final.stac-item
2021-09-04 11:23:04	ga_s2am_ard_3-2-1_52KCC_2021-09-04_final.stac-item
2021-09-04 11:23:07	ga_s2am_ard_3-2-1_52KBC_2021-09-04_final.stac-item
2021-09-04 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-09-04_final.stac-item
2021-09-04 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-09-04_final.stac-item
2021-09-04 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-09-04_final.stac-item
2021-09-04 11:23:17	ga_s2am_ard_3-2-1_52KCB_2021-09-04_final.stac-item
2021-09-04 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-09-04_final.stac-item
2021-09-04 11:23:22	ga_s2am_ard_3-2-1_51KZS_2021-09-04_final.stac-item
2021-09-04 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-09-04_final.stac-item
2021-09-04 11:23:29	ga_s2am_ard_3-2-1_51KXS_2021-09-04_final.stac-item
2021-09-13 11:53:32	ga_s2am_ard_3-2-1_50KQB_2021-09-13_final.stac-item
2021-09-13 11:53:36	ga_s2am_ard_3-2-1_50KPB_2021-09-13_final.stac-item
2021-09-13 11:53:40	ga_s2am_ard_3-2-1_50KNB_2021-09-13_final.stac-item
2022-02-08 11:13:00	ga_s2am_ard_3-2-1_52KEC_2022-02-08_final.stac-item
2022-02-08 11:13:04	ga_s2am_ard_3-2-1_52KDC_2022-02-08_final.stac-item
2022-02-08 11:13:07	ga_s2am_ard_3-2-1_52KCC_2022-02-08_final.stac-item
2022-02-08 11:13:13	ga_s2am_ard_3-2-1_52KBC_2022-02-08_final.stac-item
2022-02-08 11:13:14	ga_s2am_ard_3-2-1_52KEB_2022-02-08_final.stac-item
2022-02-08 11:13:18	ga_s2am_ard_3-2-1_52KDB_2022-02-08_final.stac-item
2022-02-08 11:13:21	ga_s2am_ard_3-2-1_52KCB_2022-02-08_final.stac-item
2022-02-08 11:13:25	ga_s2am_ard_3-2-1_52KBB_2022-02-08_final.stac-item
2022-02-20 10:12:37	ga_s2am_ard_3-2-1_55KBT_2022-02-20_final.stac-item
2022-02-20 10:12:38	ga_s2am_ard_3-2-1_54KZC_2022-02-20_final.stac-item
2022-02-20 10:12:41	ga_s2am_ard_3-2-1_54KYC_2022-02-20_final.stac-item
2022-02-20 10:12:45	ga_s2am_ard_3-2-1_54KXC_2022-02-20_final.stac-item
2022-02-20 10:12:51	ga_s2am_ard_3-2-1_55KBS_2022-02-20_final.stac-item
2022-02-20 10:12:52	ga_s2am_ard_3-2-1_54KZB_2022-02-20_final.stac-item
2022-02-20 10:12:56	ga_s2am_ard_3-2-1_54KYB_2022-02-20_final.stac-item
2022-02-20 10:12:59	ga_s2am_ard_3-2-1_54KXB_2022-02-20_final.stac-item
2022-02-21 09:42:35	ga_s2am_ard_3-2-1_55KGT_2022-02-21_final.stac-item
2022-02-21 09:42:38	ga_s2am_ard_3-2-1_56KMB_2022-02-21_final
2022-02-21 09:42:42	ga_s2am_ard_3-2-1_56KLB_2022-02-21_final.stac-item
2022-02-21 09:42:45	ga_s2am_ard_3-2-1_56KKB_2022-02-21_final.stac-item
2022-02-21 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-02-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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