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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KQG_2015-12-04_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVU_2015-12-21_final.stac-item
2016-04-10 11:16:26	ga_s2am_ard_3-2-1_51HWC_2016-04-10_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNL_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVT_2016-06-05_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KUV_2017-05-04_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KVT_2017-09-28_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-10-10_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKN_2017-10-17_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWR_2017-11-27_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVT_2018-02-28_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KWS_2018-03-27_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KWQ_2018-05-23_final
2018-07-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-07-01_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTC_2018-07-05_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGM_2018-07-27_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNG_2018-08-17_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-11-11 12:03:15	ga_s2am_ard_3-2-1_50KNC_2018-11-11_final
2018-11-15 11:43:08	ga_s2am_ard_3-2-1_50KRC_2018-11-15_final
2019-01-04 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-01-04_final
2019-01-05 11:16:35	ga_s2am_ard_3-2-1_51HXD_2019-01-05_final
2019-01-31 11:33:19	ga_s2am_ard_3-2-1_51KUT_2019-01-31_final
2019-02-13 11:43:26	ga_s2am_ard_3-2-1_51KUS_2019-02-13_final
2019-04-11 11:33:42	ga_s2am_ard_3-2-1_51KVR_2019-04-11_final.stac-item
2019-05-04 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-05-04_final
2019-06-03 11:42:19	ga_s2am_ard_3-2-1_51KUB_2019-06-03_final.stac-item
2019-06-30 11:34:10	ga_s2am_ard_3-2-1_51KXP_2019-06-30_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-08-02 11:42:21	ga_s2am_ard_3-2-1_51KUB_2019-08-02_final.stac-item
2019-08-29 11:33:39	ga_s2am_ard_3-2-1_51KXR_2019-08-29_final
2019-10-15 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-10-15_final
2019-12-20 11:43:12	ga_s2am_ard_3-2-1_50KRC_2019-12-20_final
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_49KHS_2020-01-08_final.stac-item
2020-02-28 11:42:59	ga_s2am_ard_3-2-1_50KRD_2020-02-28_final
2020-03-23 11:26:58	ga_s2am_ard_3-2-1_51HUC_2020-03-23_final
2020-04-28 11:46:28	ga_s2am_ard_3-2-1_50JML_2020-04-28_final
2020-05-18 11:43:23	ga_s2am_ard_3-2-1_51KTT_2020-05-18_final
2020-06-14 11:34:17	ga_s2am_ard_3-2-1_51KWP_2020-06-14_final
2020-10-25 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-10-25_final
2020-11-14 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2020-11-14_final
2020-12-21 11:32:57	ga_s2am_ard_3-2-1_51KWU_2020-12-21_final
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final
2021-01-06 11:53:50	ga_s2am_ard_3-2-1_50KPA_2021-01-06_final
2021-02-06 11:25:03	ga_s2am_ard_3-2-1_51JVL_2021-02-06_final
2021-02-19 11:32:14	ga_s2am_ard_3-2-1_51KWB_2021-02-19_final
2021-03-01 11:34:05	ga_s2am_ard_3-2-1_51KXP_2021-03-01_final
2021-03-08 11:26:18	ga_s2am_ard_3-2-1_51JUF_2021-03-08_final
2021-03-27 11:55:57	ga_s2am_ard_3-2-1_50JKN_2021-03-27_final
2021-04-13 11:46:57	ga_s2am_ard_3-2-1_50HPH_2021-04-13_final
2021-04-30 11:36:55	ga_s2am_ard_3-2-1_51HUC_2021-04-30_final
2021-06-15 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-06-15_final
2021-07-09 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-09_final
2021-07-31 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-31_final
2021-08-15 11:24:17	ga_s2am_ard_3-2-1_51KWP_2021-08-15_final
2021-09-10 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-09-10_final
2021-10-07 11:33:27	ga_s2am_ard_3-2-1_51KUT_2021-10-07_final
2021-11-06 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-11-06_final
2021-11-29 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-11-29_final
2021-12-13 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-12-13_final
2021-12-26 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2021-12-26_final
2021-12-29 11:44:14	ga_s2am_ard_3-2-1_51KUP_2021-12-29_final
2022-01-15 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2022-01-15_final
2022-02-27 11:43:14	ga_s2am_ard_3-2-1_51KVT_2022-02-27_final
2022-04-15 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2022-04-15_final
2022-07-01 11:26:24	ga_s2am_ard_3-2-1_51JWF_2022-07-01_final
2022-07-16 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-16_final
2022-09-02 11:34:17	ga_s2am_ard_3-2-1_51KXP_2022-09-02_final.stac-item
2022-10-02 11:33:23	ga_s2am_ard_3-2-1_51KVT_2022-10-02_final.stac-item
2022-10-15 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-10-15_final.stac-item
2022-11-11 11:34:21	ga_s2am_ard_3-2-1_51KUP_2022-11-11_final.stac-item
2022-11-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-11-27_final.stac-item
2022-12-04 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-12-04_final.stac-item
2022-12-14 11:42:57	ga_s2am_ard_3-2-1_51KVU_2022-12-14_final.stac-item
2022-12-28 11:24:10	ga_s2am_ard_3-2-1_51KXP_2022-12-28_final.stac-item
2022-12-28 11:24:17	ga_s2am_ard_3-2-1_51JZN_2022-12-28_final.stac-item
2023-01-13 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-01-13_final.stac-item
2023-02-13 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-02-13_final.stac-item
2023-03-24 11:43:23	ga_s2am_ard_3-2-1_51KVS_2023-03-24_final.stac-item
2023-04-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-04-10_final.stac-item
2023-05-27 11:24:18	ga_s2am_ard_3-2-1_51KWP_2023-05-27_final.stac-item
2023-06-29 11:33:26	ga_s2am_ard_3-2-1_51KUT_2023-06-29_final.stac-item
2023-06-29 11:34:19	ga_s2am_ard_3-2-1_51JXN_2023-06-29_final.stac-item
2023-07-09 11:33:43	ga_s2am_ard_3-2-1_51KXR_2023-07-09_final.stac-item
2023-10-30 11:42:13	ga_s2am_ard_3-2-1_51KVB_2023-10-30_final.stac-item
2023-11-18 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-11-18_final.stac-item
2023-12-16 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-12-16_final.stac-item
2023-12-16 11:34:13	ga_s2am_ard_3-2-1_51KUP_2023-12-16_final.stac-item
2023-12-29 11:44:10	ga_s2am_ard_3-2-1_51KUP_2023-12-29_final.stac-item
2024-01-02 11:24:12	ga_s2am_ard_3-2-1_51KWP_2024-01-02_final.stac-item
2024-01-08 11:43:05	ga_s2am_ard_3-2-1_51KVT_2024-01-08_final.stac-item
2024-01-12 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2024-01-12_final.stac-item
2024-01-28 11:43:24	ga_s2am_ard_3-2-1_51KUS_2024-01-28_final.stac-item
2024-02-04 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-02-04_final.stac-item
2024-02-20 11:53:15	ga_s2am_ard_3-2-1_50KQC_2024-02-20_final.stac-item
2024-03-02 11:24:32	ga_s2am_ard_3-2-1_51JZM_2024-03-02_final.stac-item
2024-03-05 11:32:44	ga_s2am_ard_3-2-1_51KWV_2024-03-05_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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