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
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KYR_2016-03-24_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51HTD_2016-04-06_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLA_2016-06-04_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMV_2016-07-21_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGJ_2016-08-03_final.stac-item
2016-09-10 11:26:07	ga_s2am_ard_3-2-1_51JXF_2016-09-10_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLT_2016-12-11_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWS_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVU_2017-01-14_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51JTL_2017-03-25_final
2017-04-28 11:27:00	ga_s2am_ard_3-2-1_51HVC_2017-04-28_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KXT_2017-07-10_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51HVE_2017-09-08_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51KZP_2017-12-11_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JCQ_2017-12-11_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYL_2018-02-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JQP_2018-02-25_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JCN_2018-03-01_final
2018-03-04 11:16:56	ga_s2am_ard_3-2-1_51KZV_2018-03-04_final
2018-03-25 10:47:23	ga_s2am_ard_3-2-1_52JEP_2018-03-25_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KVT_2018-03-27_final
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_52JEL_2018-05-04_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTG_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KYT_2018-05-26_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KTT_2018-06-18_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBP_2018-06-19_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JDT_2018-06-19_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGJ_2018-08-03_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUC_2018-08-31_final
2018-11-08 11:54:29	ga_s2am_ard_3-2-1_50JPT_2018-11-08_final
2019-01-28 11:22:35	ga_s2am_ard_3-2-1_51KZV_2019-01-28_final
2019-03-19 11:23:11	ga_s2am_ard_3-2-1_51KXT_2019-03-19_final
2019-05-01 11:36:06	ga_s2am_ard_3-2-1_51JTG_2019-05-01_final
2019-07-27 11:25:47	ga_s2am_ard_3-2-1_51JWH_2019-07-27_final
2019-08-09 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-08-09_final
2019-10-29 11:06:40	ga_s2am_ard_3-2-1_51HYD_2019-10-29_final
2020-01-19 11:42:07	ga_s2am_ard_3-2-1_51KVB_2020-01-19_final
2020-01-20 11:16:34	ga_s2am_ard_3-2-1_51HXD_2020-01-20_final
2020-02-02 11:22:15	ga_s2am_ard_3-2-1_51KZA_2020-02-02_final
2020-07-11 11:25:43	ga_s2am_ard_3-2-1_51JXH_2020-07-11_final
2020-08-09 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-08-09_final
2020-08-20 11:25:04	ga_s2am_ard_3-2-1_51JWL_2020-08-20_final
2020-09-12 11:36:18	ga_s2am_ard_3-2-1_51JUF_2020-09-12_final
2020-10-23 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2020-10-23_final
2020-11-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2020-11-14_final
2020-11-24 11:42:47	ga_s2am_ard_3-2-1_51KUV_2020-11-24_final
2020-12-11 11:36:23	ga_s2am_ard_3-2-1_50JPL_2020-12-11_final
2020-12-12 11:05:34	ga_s2am_ard_3-2-1_52JCN_2020-12-12_final
2020-12-18 11:23:23	ga_s2am_ard_3-2-1_51KYS_2020-12-18_final
2021-01-20 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2021-01-20_final
2021-01-24 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2021-01-24_final
2021-02-05 11:53:49	ga_s2am_ard_3-2-1_50KPA_2021-02-05_final
2021-02-05 11:54:47	ga_s2am_ard_3-2-1_50JPS_2021-02-05_final
2021-02-16 11:22:11	ga_s2am_ard_3-2-1_51KYB_2021-02-16_final
2021-04-14 11:14:17	ga_s2am_ard_3-2-1_51JZN_2021-04-14_final
2021-05-14 11:15:57	ga_s2am_ard_3-2-1_51JXG_2021-05-14_final
2021-05-29 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-05-29_final
2021-07-12 11:46:33	ga_s2am_ard_3-2-1_50HQK_2021-07-12_final
2021-07-13 11:15:21	ga_s2am_ard_3-2-1_52JCP_2021-07-13_final
2021-08-01 11:46:16	ga_s2am_ard_3-2-1_50JMM_2021-08-01_final
2021-08-07 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-08-07_final
2021-08-08 11:34:39	ga_s2am_ard_3-2-1_50JRT_2021-08-08_final
2021-08-15 11:27:01	ga_s2am_ard_3-2-1_51HVC_2021-08-15_final
2021-10-03 11:53:15	ga_s2am_ard_3-2-1_50KRC_2021-10-03_final
2021-10-03 11:56:27	ga_s2am_ard_3-2-1_50JML_2021-10-03_final
2021-10-24 11:23:26	ga_s2am_ard_3-2-1_51KZS_2021-10-24_final
2021-10-30 11:43:29	ga_s2am_ard_3-2-1_51KVS_2021-10-30_final
2021-11-06 11:36:23	ga_s2am_ard_3-2-1_50JQL_2021-11-06_final
2021-11-07 11:04:36	ga_s2am_ard_3-2-1_52JES_2021-11-07_final
2022-01-05 11:33:47	ga_s2am_ard_3-2-1_51KVR_2022-01-05_final
2022-01-09 11:16:38	ga_s2am_ard_3-2-1_51HYD_2022-01-09_final
2022-01-12 11:23:22	ga_s2am_ard_3-2-1_51KZS_2022-01-12_final
2022-02-07 11:43:43	ga_s2am_ard_3-2-1_51KUR_2022-02-07_final
2022-02-14 11:34:46	ga_s2am_ard_3-2-1_51JUM_2022-02-14_final
2022-03-30 11:16:08	ga_s2am_ard_3-2-1_52JBL_2022-03-30_final
2022-04-04 12:05:13	ga_s2am_ard_3-2-1_50JKR_2022-04-04_final
2022-04-15 11:32:50	ga_s2am_ard_3-2-1_51KVV_2022-04-15_final
2022-05-01 11:54:10	ga_s2am_ard_3-2-1_50KPV_2022-05-01_final
2022-05-24 12:06:02	ga_s2am_ard_3-2-1_50JKN_2022-05-24_final
2022-06-11 11:25:55	ga_s2am_ard_3-2-1_51JVH_2022-06-11_final
2022-07-23 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-07-23_final
2022-07-24 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-07-24_final
2022-08-02 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-08-02_final
2022-09-08 11:56:25	ga_s2am_ard_3-2-1_50JKM_2022-09-08_final.stac-item
2022-09-29 11:21:47	ga_s2am_ard_3-2-1_51LZD_2022-09-29_final.stac-item
2022-09-29 11:24:51	ga_s2am_ard_3-2-1_51JWM_2022-09-29_final.stac-item
2022-10-02 11:35:15	ga_s2am_ard_3-2-1_51JWK_2022-10-02_final.stac-item
2022-10-12 11:33:14	ga_s2am_ard_3-2-1_51KXT_2022-10-12_final.stac-item
2022-11-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2022-11-07_final.stac-item
2023-02-12 11:43:13	ga_s2am_ard_3-2-1_51KUT_2023-02-12_final.stac-item
2023-04-13 11:42:31	ga_s2am_ard_3-2-1_51KUA_2023-04-13_final.stac-item
2023-04-26 11:57:12	ga_s2am_ard_3-2-1_50HKH_2023-04-26_nrt.stac-item
2023-06-19 11:35:54	ga_s2am_ard_3-2-1_50JQN_2023-06-19_final.stac-item
2023-06-29 11:31:25	ga_s2am_ard_3-2-1_51LZE_2023-06-29_final.stac-item
2023-09-11 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-09-11_final.stac-item
2024-02-04 11:35:58	ga_s2am_ard_3-2-1_51JTG_2024-02-04_final.stac-item
2024-03-04 12:03:41	ga_s2am_ard_3-2-1_50KLB_2024-03-04_final.stac-item
2024-03-15 11:32:00	ga_s2am_ard_3-2-1_51LWC_2024-03-15_final.stac-item
2024-03-19 11:15:13	ga_s2am_ard_3-2-1_52JDP_2024-03-19_final.stac-item
2024-04-07 11:43:12	ga_s2am_ard_3-2-1_50KRC_2024-04-07_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