Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51LWC_2015-12-08_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KVB_2016-04-29_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPH_2016-09-06_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMP_2016-09-19_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUR_2016-12-12_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2016-12-24_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KBV_2016-12-26_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVU_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-01-30_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50HNK_2017-07-26_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-11-06_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JUF_2018-05-26_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHP_2018-06-04_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51LWG_2018-06-18_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51LUF_2018-11-05_final
2018-11-25 11:41:25	ga_s2am_ard_3-2-1_51LUE_2018-11-25_final
2019-01-24 11:46:05	ga_s2am_ard_3-2-1_50JNM_2019-01-24_final
2019-02-05 10:45:44	ga_s2am_ard_3-2-1_52JGM_2019-02-05_final
2019-02-10 11:32:29	ga_s2am_ard_3-2-1_51KVA_2019-02-10_final
2019-02-16 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-02-16_final
2019-03-12 11:32:21	ga_s2am_ard_3-2-1_51KXA_2019-03-12_final
2019-05-05 11:14:11	ga_s2am_ard_3-2-1_52JET_2019-05-05_final
2019-06-20 11:32:47	ga_s2am_ard_3-2-1_51KWV_2019-06-20_final
2019-07-30 11:33:32	ga_s2am_ard_3-2-1_51KWS_2019-07-30_final
2019-08-23 11:13:31	ga_s2am_ard_3-2-1_51KZS_2019-08-23_final
2019-08-25 11:53:23	ga_s2am_ard_3-2-1_50KPC_2019-08-25_final
2019-08-29 11:33:14	ga_s2am_ard_3-2-1_51KWT_2019-08-29_final
2019-09-08 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-09-08_final
2019-09-15 11:23:20	ga_s2am_ard_3-2-1_51KZS_2019-09-15_final
2019-10-14 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-10-14_final
2019-10-15 11:23:10	ga_s2am_ard_3-2-1_51KZT_2019-10-15_final
2019-10-24 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-10-24_final
2019-12-14 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-12-14_final
2020-02-12 11:22:19	ga_s2am_ard_3-2-1_51KYA_2020-02-12_final
2020-02-19 11:14:17	ga_s2am_ard_3-2-1_52JBT_2020-02-19_final
2020-04-18 11:43:15	ga_s2am_ard_3-2-1_51KUT_2020-04-18_final
2020-04-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2020-04-25_final
2020-05-02 11:24:02	ga_s2am_ard_3-2-1_52KBU_2020-05-02_final
2020-07-31 11:23:12	ga_s2am_ard_3-2-1_51KZT_2020-07-31_final
2020-07-31 11:23:55	ga_s2am_ard_3-2-1_52KBV_2020-07-31_final
2020-08-23 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-08-23_final
2020-09-19 11:24:09	ga_s2am_ard_3-2-1_51KZP_2020-09-19_final
2020-10-02 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-10-02_final
2020-10-02 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-10-02_final
2020-10-09 11:23:26	ga_s2am_ard_3-2-1_52KBB_2020-10-09_final
2020-11-18 11:22:25	ga_s2am_ard_3-2-1_52KBF_2020-11-18_final
2021-02-06 11:23:05	ga_s2am_ard_3-2-1_52KBC_2021-02-06_final
2021-02-19 11:34:14	ga_s2am_ard_3-2-1_51JXN_2021-02-19_final
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final
2021-03-11 11:33:27	ga_s2am_ard_3-2-1_51KWS_2021-03-11_final
2021-04-23 11:42:31	ga_s2am_ard_3-2-1_51KVV_2021-04-23_final
2021-06-09 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-26 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-26_final
2021-07-06 11:23:31	ga_s2am_ard_3-2-1_51KXS_2021-07-06_final
2021-07-19 11:33:40	ga_s2am_ard_3-2-1_51KXR_2021-07-19_final
2021-07-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-07-22_final
2021-07-29 11:33:25	ga_s2am_ard_3-2-1_51KUT_2021-07-29_final
2021-08-28 11:33:04	ga_s2am_ard_3-2-1_51KYT_2021-08-28_final
2021-09-04 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-09-04_final
2021-10-01 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2021-10-01_final
2021-11-03 11:23:29	ga_s2am_ard_3-2-1_51KYS_2021-11-03_final
2021-11-06 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-11-06_final
2021-11-23 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-11-23_final
2021-11-26 11:33:22	ga_s2am_ard_3-2-1_51KUT_2021-11-26_final
2021-12-09 11:40:56	ga_s2am_ard_3-2-1_51LWG_2021-12-09_final.stac-item
2021-12-30 11:14:39	ga_s2am_ard_3-2-1_51JZM_2021-12-30_final
2022-02-24 11:33:36	ga_s2am_ard_3-2-1_51KUS_2022-02-24_final
2022-03-02 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-03-02_final
2022-04-06 11:04:37	ga_s2am_ard_3-2-1_52JGR_2022-04-06_final
2022-04-25 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2022-04-25_final
2022-06-14 11:34:21	ga_s2am_ard_3-2-1_51KWP_2022-06-14_final
2022-07-08 11:16:54	ga_s2am_ard_3-2-1_51HXD_2022-07-08_final
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-11-17 11:56:10	ga_s2am_ard_3-2-1_50JMM_2022-11-17_final.stac-item
2022-12-08 11:23:01	ga_s2am_ard_3-2-1_51KXU_2022-12-08_final.stac-item
2022-12-18 11:22:40	ga_s2am_ard_3-2-1_51KYV_2022-12-18_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2023-01-14 11:14:04	ga_s2am_ard_3-2-1_51KZP_2023-01-14_final.stac-item
2023-03-19 10:56:02	ga_s2am_ard_3-2-1_52JEL_2023-03-19_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-04-24 11:13:39	ga_s2am_ard_3-2-1_52KBA_2023-04-24_final.stac-item
2023-05-20 11:34:05	ga_s2am_ard_3-2-1_51KUQ_2023-05-20_final.stac-item
2023-07-06 11:25:44	ga_s2am_ard_3-2-1_51JXH_2023-07-06_final.stac-item
2023-07-12 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-07-12_final.stac-item
2023-07-13 11:14:12	ga_s2am_ard_3-2-1_52JET_2023-07-13_final.stac-item
2023-08-02 11:13:42	ga_s2am_ard_3-2-1_52KCA_2023-08-02_final.stac-item
2023-08-18 11:33:28	ga_s2am_ard_3-2-1_51KUT_2023-08-18_final.stac-item
2023-08-18 11:33:40	ga_s2am_ard_3-2-1_51KUS_2023-08-18_final.stac-item
2023-10-11 11:16:35	ga_s2am_ard_3-2-1_51HYD_2023-10-11_final.stac-item
2023-10-17 11:33:21	ga_s2am_ard_3-2-1_51KUT_2023-10-17_final.stac-item
2023-12-06 11:33:17	ga_s2am_ard_3-2-1_51KXS_2023-12-06_final.stac-item
2024-01-15 11:34:51	ga_s2am_ard_3-2-1_51JVL_2024-01-15_final.stac-item
2024-02-15 11:06:19	ga_s2am_ard_3-2-1_52HCK_2024-02-15_final.stac-item
2024-03-15 11:33:27	ga_s2am_ard_3-2-1_51KWS_2024-03-15_final.stac-item
2024-04-07 11:47:19	ga_s2am_ard_3-2-1_50HNG_2024-04-07_final.stac-item
2024-04-14 11:32:42	ga_s2am_ard_3-2-1_51KXV_2024-04-14_final.stac-item
2024-04-17 11:43:32	ga_s2am_ard_3-2-1_51KUS_2024-04-17_final.stac-item
2024-04-17 11:44:41	ga_s2am_ard_3-2-1_50JPT_2024-04-17_final.stac-item
2024-04-23 12:05:44	ga_s2am_ard_3-2-1_50JKP_2024-04-23_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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