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
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KWB_2016-04-06_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HQJ_2016-04-29_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KBB_2016-06-12_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPJ_2016-10-26_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51KZR_2017-01-25_final
2017-08-23 11:12:16	ga_s2am_ard_3-2-1_52KBV_2017-08-23_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51KUS_2017-09-01_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWB_2017-11-27_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JDM_2017-12-18_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYH_2018-01-13_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWU_2018-01-26_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KVQ_2018-03-27_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LWC_2018-04-26_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KWV_2018-05-06_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNG_2018-05-09_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HMJ_2018-10-19_final
2019-01-05 11:13:08	ga_s2am_ard_3-2-1_52KBC_2019-01-05_final
2019-02-25 10:45:43	ga_s2am_ard_3-2-1_52JGM_2019-02-25_final
2019-04-05 11:15:19	ga_s2am_ard_3-2-1_52JCP_2019-04-05_final
2019-05-18 11:23:39	ga_s2am_ard_3-2-1_51KZR_2019-05-18_final
2019-06-24 11:15:08	ga_s2am_ard_3-2-1_52JCQ_2019-06-24_final
2019-08-12 11:43:22	ga_s2am_ard_3-2-1_50KRC_2019-08-12_final
2019-10-14 11:53:20	ga_s2am_ard_3-2-1_50KQC_2019-10-14_final
2019-11-17 11:33:29	ga_s2am_ard_3-2-1_51KWS_2019-11-17_final
2020-02-29 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2020-02-29_final
2020-03-03 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2020-03-03_final
2020-03-10 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2020-03-10_final
2020-03-13 11:23:17	ga_s2am_ard_3-2-1_52KBB_2020-03-13_final
2020-03-16 11:32:51	ga_s2am_ard_3-2-1_51KXU_2020-03-16_final
2020-03-18 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-18_final
2020-05-21 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-05-21_final
2020-06-01 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-06-01_final
2020-06-21 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-06-21_final
2020-07-31 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2020-07-31_final
2020-08-30 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-08-30_final
2020-09-02 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-09-02_final
2020-10-16 11:13:45	ga_s2am_ard_3-2-1_52KBA_2020-10-16_final
2020-12-18 11:23:02	ga_s2am_ard_3-2-1_51KYT_2020-12-18_final
2021-01-14 11:13:37	ga_s2am_ard_3-2-1_52KCA_2021-01-14_final
2021-01-14 11:15:54	ga_s2am_ard_3-2-1_51JYG_2021-01-14_final
2021-01-17 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-01-17_final
2021-02-02 11:44:16	ga_s2am_ard_3-2-1_50KRU_2021-02-02_final
2021-02-22 11:42:16	ga_s2am_ard_3-2-1_51KUB_2021-02-22_final.stac-item
2021-03-08 11:23:49	ga_s2am_ard_3-2-1_52KBV_2021-03-08_final
2021-04-06 11:53:07	ga_s2am_ard_3-2-1_50KRC_2021-04-06_final
2021-04-07 11:23:53	ga_s2am_ard_3-2-1_51KXQ_2021-04-07_final
2021-04-30 11:32:38	ga_s2am_ard_3-2-1_51KXV_2021-04-30_final
2021-06-06 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-06-06_final
2021-06-16 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-06-16_final
2021-06-26 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-26_final
2021-07-12 11:44:16	ga_s2am_ard_3-2-1_51KUP_2021-07-12_final
2021-07-17 10:55:25	ga_s2am_ard_3-2-1_52JEP_2021-07-17_final
2021-08-24 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-08-24_final
2021-08-29 11:05:28	ga_s2am_ard_3-2-1_52JFN_2021-08-29_final
2021-09-24 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-09-24_final
2021-10-17 11:32:20	ga_s2am_ard_3-2-1_51KWB_2021-10-17_final
2021-10-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2021-10-26_final
2021-11-16 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-11-16_final
2021-11-23 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-11-23_final
2021-11-26 11:32:32	ga_s2am_ard_3-2-1_51KVA_2021-11-26_final
2021-12-26 11:33:29	ga_s2am_ard_3-2-1_51KWS_2021-12-26_final
2022-01-18 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-01-18_final
2022-01-25 11:32:40	ga_s2am_ard_3-2-1_51KXV_2022-01-25_final
2022-02-03 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-02-03_final
2022-02-11 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2022-02-11_final
2022-03-13 11:23:17	ga_s2am_ard_3-2-1_51KXT_2022-03-13_final
2022-03-24 10:56:03	ga_s2am_ard_3-2-1_52JFL_2022-03-24_final
2022-04-01 11:53:59	ga_s2am_ard_3-2-1_50KMA_2022-04-01_final
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_50KKB_2022-05-24_final
2022-06-08 11:13:16	ga_s2am_ard_3-2-1_52KCC_2022-06-08_final
2022-07-13 12:05:50	ga_s2am_ard_3-2-1_50JLP_2022-07-13_final
2022-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVR_2022-07-14_final
2022-09-02 11:32:12	ga_s2am_ard_3-2-1_51LWC_2022-09-02_final.stac-item
2022-09-19 11:23:58	ga_s2am_ard_3-2-1_51KZQ_2022-09-19_final.stac-item
2022-10-05 11:42:34	ga_s2am_ard_3-2-1_51KVA_2022-10-05_final.stac-item
2022-10-06 11:15:36	ga_s2am_ard_3-2-1_51JXJ_2022-10-06_final.stac-item
2022-10-12 11:33:29	ga_s2am_ard_3-2-1_51KXS_2022-10-12_final.stac-item
2022-10-12 11:35:03	ga_s2am_ard_3-2-1_51JVL_2022-10-12_final.stac-item
2022-11-01 11:33:02	ga_s2am_ard_3-2-1_51KWU_2022-11-01_final.stac-item
2022-11-18 11:24:16	ga_s2am_ard_3-2-1_51KWP_2022-11-18_final.stac-item
2022-12-01 11:31:06	ga_s2am_ard_3-2-1_51LZF_2022-12-01_final.stac-item
2022-12-14 11:41:33	ga_s2am_ard_3-2-1_51LUE_2022-12-14_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-03-11 11:32:24	ga_s2am_ard_3-2-1_51KWA_2023-03-11_final.stac-item
2023-03-31 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-03-31_final.stac-item
2023-05-07 11:24:04	ga_s2am_ard_3-2-1_52KBU_2023-05-07_final.stac-item
2023-05-10 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-05-10_final.stac-item
2023-05-27 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-05-27_final.stac-item
2023-06-29 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-06-29_final.stac-item
2023-07-07 10:54:53	ga_s2am_ard_3-2-1_52JFR_2023-07-07_final.stac-item
2023-07-29 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2023-07-29_final.stac-item
2023-08-02 11:14:14	ga_s2am_ard_3-2-1_52KBU_2023-08-02_final.stac-item
2023-08-08 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-08-08_final.stac-item
2023-08-28 11:34:11	ga_s2am_ard_3-2-1_51KXP_2023-08-28_final.stac-item
2023-09-10 11:43:34	ga_s2am_ard_3-2-1_51KUS_2023-09-10_final.stac-item
2023-09-14 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-09-14_final.stac-item
2023-09-27 11:33:33	ga_s2am_ard_3-2-1_51KVS_2023-09-27_final.stac-item
2023-11-13 11:24:07	ga_s2am_ard_3-2-1_51KWP_2023-11-13_final.stac-item
2024-02-20 11:53:15	ga_s2am_ard_3-2-1_50KQC_2024-02-20_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

All years