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
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUN_2016-06-25_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNR_2016-07-21_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HNK_2016-08-10_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNH_2016-10-26_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50KRC_2016-12-05_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HUC_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTD_2016-12-22_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYQ_2017-01-18_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KVA_2017-02-03_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVV_2017-03-25_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JQM_2017-03-25_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50JQN_2017-08-19_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-09-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51LVC_2017-11-20_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KPB_2017-12-03_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_49JGJ_2017-12-16_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_51KZR_2018-01-10_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWS_2018-02-15_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JZM_2018-02-19_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JWH_2018-02-22_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JQR_2018-03-30_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KVB_2018-04-26_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXQ_2018-04-26_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51KYU_2018-06-12_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPH_2018-06-18_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JML_2018-06-18_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-08-03_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JML_2018-10-19_final
2019-01-01 11:32:52	ga_s2am_ard_3-2-1_51KWU_2019-01-01_final
2019-01-15 11:16:18	ga_s2am_ard_3-2-1_51HYE_2019-01-15_final
2019-02-07 11:25:42	ga_s2am_ard_3-2-1_51JVH_2019-02-07_final
2019-03-16 11:14:49	ga_s2am_ard_3-2-1_52JBR_2019-03-16_final
2019-04-01 11:33:09	ga_s2am_ard_3-2-1_51KXT_2019-04-01_final
2019-04-11 11:32:34	ga_s2am_ard_3-2-1_51KVA_2019-04-11_final
2019-05-27 11:54:58	ga_s2am_ard_3-2-1_50JMS_2019-05-27_final
2019-06-07 11:27:04	ga_s2am_ard_3-2-1_51HUC_2019-06-07_final
2019-07-26 11:56:09	ga_s2am_ard_3-2-1_50JNM_2019-07-26_final
2019-10-18 11:33:37	ga_s2am_ard_3-2-1_51KUS_2019-10-18_final
2019-11-11 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-11-11_final
2020-01-26 11:32:19	ga_s2am_ard_3-2-1_51KXA_2020-01-26_final
2020-02-21 11:55:07	ga_s2am_ard_3-2-1_50JLR_2020-02-21_final
2020-02-25 11:33:37	ga_s2am_ard_3-2-1_51KWR_2020-02-25_final
2020-04-25 11:35:39	ga_s2am_ard_3-2-1_50JQP_2020-04-25_final
2020-05-25 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-05-25_final
2020-05-25 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-05-25_final
2020-08-20 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-08-20_final
2020-08-23 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-08-23_final
2020-08-30 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2020-08-30_final
2020-09-08 11:54:55	ga_s2am_ard_3-2-1_50JNS_2020-09-08_final
2020-10-12 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-10-12_final
2020-10-15 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-10-15_final
2020-11-04 11:43:29	ga_s2am_ard_3-2-1_51KVS_2020-11-04_final
2020-11-10 12:05:01	ga_s2am_ard_3-2-1_50JKS_2020-11-10_final
2020-11-11 11:32:59	ga_s2am_ard_3-2-1_51KXU_2020-11-11_final
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_51KTP_2020-12-04_final
2020-12-12 11:05:55	ga_s2am_ard_3-2-1_52JBM_2020-12-12_final
2021-02-02 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-02-02_final
2021-02-05 11:53:21	ga_s2am_ard_3-2-1_50KPC_2021-02-05_final
2021-04-13 11:44:47	ga_s2am_ard_3-2-1_50JPS_2021-04-13_final
2021-07-12 11:43:28	ga_s2am_ard_3-2-1_51KVS_2021-07-12_final
2021-07-19 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2021-07-19_final
2021-09-04 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-09-04_final
2021-11-05 12:06:08	ga_s2am_ard_3-2-1_50JLM_2021-11-05_final
2021-11-23 11:22:52	ga_s2am_ard_3-2-1_51KZU_2021-11-23_final
2021-12-16 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-12-16_final
2022-01-05 11:33:03	ga_s2am_ard_3-2-1_51KVU_2022-01-05_final
2022-03-26 11:34:52	ga_s2am_ard_3-2-1_50JRS_2022-03-26_final
2022-03-29 11:44:43	ga_s2am_ard_3-2-1_51JUM_2022-03-29_final
2022-04-02 11:24:34	ga_s2am_ard_3-2-1_52JBS_2022-04-02_final
2022-04-02 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2022-04-02_final
2022-06-07 11:43:33	ga_s2am_ard_3-2-1_51KVS_2022-06-07_final
2022-06-24 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-06-24_final
2022-07-20 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-07-20_final
2022-09-08 11:56:04	ga_s2am_ard_3-2-1_50JMN_2022-09-08_final.stac-item
2022-09-29 11:23:46	ga_s2am_ard_3-2-1_51KYR_2022-09-29_final.stac-item
2022-10-15 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-10-15_final.stac-item
2022-11-11 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-11-11_final.stac-item
2022-12-08 11:24:19	ga_s2am_ard_3-2-1_51JZN_2022-12-08_final.stac-item
2022-12-21 11:35:54	ga_s2am_ard_3-2-1_51JVG_2022-12-21_final.stac-item
2022-12-24 11:43:27	ga_s2am_ard_3-2-1_51KUS_2022-12-24_final.stac-item
2023-01-03 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-01-03_final.stac-item
2023-01-10 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-01-10_final.stac-item
2023-01-10 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-10_final.stac-item
2023-03-27 11:53:48	ga_s2am_ard_3-2-1_50KNA_2023-03-27_final.stac-item
2023-03-30 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-03-30_final.stac-item
2023-06-26 11:26:08	ga_s2am_ard_3-2-1_51JUG_2023-06-26_final.stac-item
2023-06-29 11:36:36	ga_s2am_ard_3-2-1_51HTE_2023-06-29_final.stac-item
2023-10-27 11:37:01	ga_s2am_ard_3-2-1_51HTC_2023-10-27_final.stac-item
2023-11-23 11:23:02	ga_s2am_ard_3-2-1_51KZT_2023-11-23_final.stac-item
2023-12-16 11:32:46	ga_s2am_ard_3-2-1_51KYU_2023-12-16_final.stac-item
2023-12-16 11:33:09	ga_s2am_ard_3-2-1_51KWT_2023-12-16_final.stac-item
2024-01-02 11:26:23	ga_s2am_ard_3-2-1_51HWE_2024-01-02_final.stac-item
2024-01-08 11:43:25	ga_s2am_ard_3-2-1_51KUS_2024-01-08_final.stac-item
2024-01-12 11:25:47	ga_s2am_ard_3-2-1_51JXG_2024-01-12_final.stac-item
2024-01-12 11:25:55	ga_s2am_ard_3-2-1_51JVG_2024-01-12_final.stac-item
2024-01-15 11:33:06	ga_s2am_ard_3-2-1_51KWT_2024-01-15_final.stac-item
2024-01-24 12:06:03	ga_s2am_ard_3-2-1_50JKM_2024-01-24_final.stac-item
2024-02-21 11:22:36	ga_s2am_ard_3-2-1_51KZV_2024-02-21_final.stac-item
2024-04-24 11:36:08	ga_s2am_ard_3-2-1_50JQM_2024-04-24_final.stac-item
2024-04-30 11:56:39	ga_s2am_ard_3-2-1_50HMK_2024-04-30_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