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
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KVT_2016-03-07_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HPJ_2016-04-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JPL_2016-04-06_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HUD_2016-05-03_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KXP_2016-07-02_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQK_2016-07-28_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51KVT_2016-10-03_final.stac-item
2016-12-07 10:43:25	ga_s2am_ard_3-2-1_52JGM_2016-12-07_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KVB_2016-12-12_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXS_2017-01-01_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXS_2017-01-08_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KXS_2017-01-31_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWU_2017-05-31_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KXS_2017-07-30_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWT_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KXS_2017-09-28_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVA_2017-11-20_final
2018-03-13 11:46:58	ga_s2am_ard_3-2-1_50KQF_2018-03-13_final.stac-item
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXQ_2018-06-02_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKN_2018-06-24_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRD_2018-06-28_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVS_2018-08-24_final
2018-11-22 11:33:19	ga_s2am_ard_3-2-1_51KUS_2018-11-22_final
2018-11-26 11:13:46	ga_s2am_ard_3-2-1_51KZQ_2018-11-26_final
2019-02-27 11:23:23	ga_s2am_ard_3-2-1_51KXS_2019-02-27_final
2019-05-08 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final
2019-06-17 11:25:13	ga_s2am_ard_3-2-1_51JXK_2019-06-17_final
2019-07-16 11:52:25	ga_s2am_ard_3-2-1_50KQG_2019-07-16_final.stac-item
2019-10-25 11:23:24	ga_s2am_ard_3-2-1_51KYS_2019-10-25_final
2019-11-10 11:42:19	ga_s2am_ard_3-2-1_51KUB_2019-11-10_final.stac-item
2019-11-19 12:13:41	ga_s2am_ard_3-2-1_50KKB_2019-11-19_final
2019-11-20 11:44:46	ga_s2am_ard_3-2-1_51JTM_2019-11-20_final
2019-11-24 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2019-11-24_final
2020-01-23 11:23:33	ga_s2am_ard_3-2-1_51KYR_2020-01-23_final
2020-02-28 11:46:29	ga_s2am_ard_3-2-1_50HPK_2020-02-28_final
2020-03-10 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2020-03-10_final
2020-03-16 11:33:52	ga_s2am_ard_3-2-1_51KWQ_2020-03-16_final
2020-04-02 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-04-02_final
2020-06-11 11:23:27	ga_s2am_ard_3-2-1_51KZS_2020-06-11_final
2020-08-23 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-08-23_final
2020-10-08 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-10-08_final.stac-item
2020-10-15 11:43:20	ga_s2am_ard_3-2-1_51KUT_2020-10-15_final
2020-10-25 11:43:26	ga_s2am_ard_3-2-1_51KVS_2020-10-25_final
2020-11-08 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2020-11-08_final
2020-12-04 11:42:44	ga_s2am_ard_3-2-1_51KUV_2020-12-04_final
2021-01-03 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-01-03_final
2021-01-07 11:24:09	ga_s2am_ard_3-2-1_51KYP_2021-01-07_final
2021-01-10 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-01-10_final
2021-01-27 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2021-01-27_final
2021-01-30 11:31:42	ga_s2am_ard_3-2-1_51LXD_2021-01-30_final
2021-02-06 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-02-06_final
2021-02-08 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-02-08_final
2021-02-09 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-02-09_final
2021-02-19 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-02-19_final
2021-03-01 11:33:22	ga_s2am_ard_3-2-1_51KUT_2021-03-01_final
2021-03-04 11:41:55	ga_s2am_ard_3-2-1_51LWC_2021-03-04_final
2021-03-11 11:33:01	ga_s2am_ard_3-2-1_51KVU_2021-03-11_final
2021-04-27 11:24:12	ga_s2am_ard_3-2-1_51KWP_2021-04-27_final
2021-09-04 11:23:22	ga_s2am_ard_3-2-1_51KZS_2021-09-04_final
2021-09-30 11:41:02	ga_s2am_ard_3-2-1_51LWG_2021-09-30_final.stac-item
2021-10-04 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2021-10-04_final
2021-10-07 11:33:21	ga_s2am_ard_3-2-1_51KVT_2021-10-07_final
2021-10-27 11:33:21	ga_s2am_ard_3-2-1_51KVT_2021-10-27_final
2021-12-06 11:32:14	ga_s2am_ard_3-2-1_51KWB_2021-12-06_final
2022-01-08 11:42:10	ga_s2am_ard_3-2-1_51KVB_2022-01-08_final
2022-03-20 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2022-03-20_final
2022-04-02 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-04-02_final
2022-04-15 11:37:04	ga_s2am_ard_3-2-1_51HTC_2022-04-15_final
2022-06-03 12:03:52	ga_s2am_ard_3-2-1_50KKB_2022-06-03_final
2022-06-07 11:41:41	ga_s2am_ard_3-2-1_51LUE_2022-06-07_final
2022-07-13 12:03:57	ga_s2am_ard_3-2-1_50KKB_2022-07-13_final
2022-08-31 10:54:34	ga_s2am_ard_3-2-1_52JFT_2022-08-31_final
2022-09-09 11:25:58	ga_s2am_ard_3-2-1_51JVH_2022-09-09_final.stac-item
2022-09-12 11:33:55	ga_s2am_ard_3-2-1_51KVR_2022-09-12_final.stac-item
2022-09-22 11:33:16	ga_s2am_ard_3-2-1_51KXT_2022-09-22_final.stac-item
2022-09-29 11:23:35	ga_s2am_ard_3-2-1_51KXS_2022-09-29_final.stac-item
2022-10-09 11:23:56	ga_s2am_ard_3-2-1_51KZQ_2022-10-09_final.stac-item
2022-11-17 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-11-17_final.stac-item
2022-11-28 11:22:41	ga_s2am_ard_3-2-1_51KYV_2022-11-28_final.stac-item
2022-12-28 11:23:48	ga_s2am_ard_3-2-1_51KZQ_2022-12-28_final.stac-item
2022-12-28 11:24:03	ga_s2am_ard_3-2-1_51KZP_2022-12-28_final.stac-item
2023-01-10 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-01-10_final.stac-item
2023-01-13 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-01-13_final.stac-item
2023-01-14 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2023-01-14_final.stac-item
2023-02-25 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-25_final.stac-item
2023-03-08 11:22:56	ga_s2am_ard_3-2-1_51KXU_2023-03-08_final.stac-item
2023-04-20 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-04-20_final.stac-item
2023-06-06 11:24:18	ga_s2am_ard_3-2-1_51KWP_2023-06-06_final.stac-item
2023-08-18 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2023-08-18_final.stac-item
2023-08-31 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-08-31_final.stac-item
2023-09-27 11:33:44	ga_s2am_ard_3-2-1_51KWR_2023-09-27_final.stac-item
2023-10-27 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2023-10-27_final.stac-item
2023-10-30 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-10-30_final.stac-item
2023-12-19 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-19_final.stac-item
2023-12-29 11:43:00	ga_s2am_ard_3-2-1_51KTU_2023-12-29_final.stac-item
2024-01-12 11:22:47	ga_s2am_ard_3-2-1_51KZU_2024-01-12_final.stac-item
2024-02-04 11:34:06	ga_s2am_ard_3-2-1_51KWP_2024-02-04_final.stac-item
2024-02-17 11:42:55	ga_s2am_ard_3-2-1_51KVU_2024-02-17_final.stac-item
2024-03-25 11:32:16	ga_s2am_ard_3-2-1_51KWB_2024-03-25_final.stac-item
2024-04-24 11:33:48	ga_s2am_ard_3-2-1_51KVR_2024-04-24_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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