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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZU_2016-01-24_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51JUF_2016-04-13_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51KZS_2016-05-30_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KNB_2016-12-21_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWB_2016-12-22_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JVK_2017-04-21_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KZR_2017-05-18_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JUG_2017-08-19_final
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-08-31_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JML_2017-09-21_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JWL_2018-02-22_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTJ_2018-02-25_final
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52HBK_2018-02-26_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JXJ_2018-04-23_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52JBL_2018-05-07_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KYT_2018-06-02_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUJ_2018-06-05_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KUT_2018-10-23_final
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_51KXS_2018-10-30_final
2019-01-01 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2019-01-01_final
2019-01-18 11:23:03	ga_s2am_ard_3-2-1_51KZT_2019-01-18_final
2019-03-16 11:14:38	ga_s2am_ard_3-2-1_51JYM_2019-03-16_final
2019-06-07 11:23:41	ga_s2am_ard_3-2-1_51KYR_2019-06-07_final
2019-06-13 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-06-13_final
2019-07-30 11:33:39	ga_s2am_ard_3-2-1_51KUS_2019-07-30_final
2019-07-31 11:06:03	ga_s2am_ard_3-2-1_52JBM_2019-07-31_final
2019-08-06 11:27:06	ga_s2am_ard_3-2-1_51HUC_2019-08-06_final
2019-10-11 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-11_final
2019-12-07 11:35:34	ga_s2am_ard_3-2-1_50JQP_2019-12-07_final
2019-12-17 11:31:15	ga_s2am_ard_3-2-1_51LZE_2019-12-17_final
2020-01-03 11:23:16	ga_s2am_ard_3-2-1_51KZS_2020-01-03_final
2020-01-09 11:44:11	ga_s2am_ard_3-2-1_51KTP_2020-01-09_final
2020-01-13 11:24:13	ga_s2am_ard_3-2-1_51JZN_2020-01-13_final
2020-02-11 11:56:11	ga_s2am_ard_3-2-1_50JNL_2020-02-11_final
2020-02-19 11:15:51	ga_s2am_ard_3-2-1_51JXG_2020-02-19_final
2020-03-20 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2020-03-20_final
2020-05-25 11:35:10	ga_s2am_ard_3-2-1_51JTL_2020-05-25_final
2020-05-31 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-31_final
2020-07-24 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-07-24_final
2020-08-16 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-08-16_final
2020-08-23 11:35:43	ga_s2am_ard_3-2-1_50JQP_2020-08-23_final
2020-09-11 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2020-09-11_final
2020-11-18 11:25:09	ga_s2am_ard_3-2-1_51JYK_2020-11-18_final
2020-12-11 11:34:32	ga_s2am_ard_3-2-1_51JTN_2020-12-11_final
2020-12-11 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-12-11_final.stac-item
2020-12-21 11:32:27	ga_s2am_ard_3-2-1_51KWA_2020-12-21_final
2021-01-24 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2021-01-24_final
2021-01-30 11:32:22	ga_s2am_ard_3-2-1_51KYA_2021-01-30_final
2021-02-16 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2021-02-16_final
2021-03-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2021-03-30_final
2021-04-20 11:34:32	ga_s2am_ard_3-2-1_51JTN_2021-04-20_final
2021-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-05-09_final
2021-06-02 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-06-02_final
2021-06-06 11:25:21	ga_s2am_ard_3-2-1_51JYJ_2021-06-06_final
2021-06-16 11:24:15	ga_s2am_ard_3-2-1_51KWP_2021-06-16_final
2021-07-02 11:44:00	ga_s2am_ard_3-2-1_51KUQ_2021-07-02_final
2021-08-31 11:47:08	ga_s2am_ard_3-2-1_50HNH_2021-08-31_final
2021-11-06 11:31:52	ga_s2am_ard_3-2-1_51LZC_2021-11-06_final
2021-11-10 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2021-11-10_final
2021-12-06 11:34:13	ga_s2am_ard_3-2-1_51KVP_2021-12-06_final
2021-12-29 11:41:57	ga_s2am_ard_3-2-1_51LWC_2021-12-29_final
2022-01-15 11:32:59	ga_s2am_ard_3-2-1_51KWU_2022-01-15_final
2022-01-18 11:41:59	ga_s2am_ard_3-2-1_51LVC_2022-01-18_final
2022-02-21 11:23:27	ga_s2am_ard_3-2-1_51KYS_2022-02-21_final
2022-02-24 11:36:49	ga_s2am_ard_3-2-1_51HTD_2022-02-24_final
2022-03-19 11:46:57	ga_s2am_ard_3-2-1_50HQH_2022-03-19_final
2022-03-29 11:46:36	ga_s2am_ard_3-2-1_50HPK_2022-03-29_final
2022-04-02 11:25:43	ga_s2am_ard_3-2-1_51JVH_2022-04-02_final
2022-04-17 12:14:45	ga_s2am_ard_3-2-1_49JGN_2022-04-17_final
2022-05-22 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2022-05-22_final
2022-05-28 11:44:27	ga_s2am_ard_3-2-1_50KQU_2022-05-28_final
2022-06-01 11:24:34	ga_s2am_ard_3-2-1_51JXN_2022-06-01_final
2022-07-20 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-07-20_final
2022-08-20 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-08-20_final
2022-09-06 11:15:48	ga_s2am_ard_3-2-1_52JBN_2022-09-06_final.stac-item
2022-09-08 11:55:27	ga_s2am_ard_3-2-1_50JPQ_2022-09-08_final.stac-item
2022-09-22 11:36:53	ga_s2am_ard_3-2-1_51HTD_2022-09-22_final.stac-item
2022-10-08 11:53:54	ga_s2am_ard_3-2-1_50KNA_2022-10-08_final.stac-item
2022-11-10 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2022-11-10_final.stac-item
2022-11-17 13:31:40	ga_s2am_ard_3-2-1_47LKG_2022-11-17_interim.stac-item
2022-11-21 11:32:20	ga_s2am_ard_3-2-1_51KVB_2022-11-21_final.stac-item
2022-12-08 11:24:19	ga_s2am_ard_3-2-1_51JZN_2022-12-08_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2023-01-20 11:31:01	ga_s2am_ard_3-2-1_51LZF_2023-01-20_final.stac-item
2023-02-03 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-02-03_final.stac-item
2023-02-04 10:46:14	ga_s2am_ard_3-2-1_52HGK_2023-02-04_final.stac-item
2023-02-22 11:43:09	ga_s2am_ard_3-2-1_51KVT_2023-02-22_final.stac-item
2023-03-30 12:04:46	ga_s2am_ard_3-2-1_50JMS_2023-03-30_final.stac-item
2023-04-13 11:43:29	ga_s2am_ard_3-2-1_51KUS_2023-04-13_final.stac-item
2023-05-04 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-05-04_final.stac-item
2023-06-03 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-06-03_final.stac-item
2023-07-02 11:44:53	ga_s2am_ard_3-2-1_51JTM_2023-07-02_final.stac-item
2023-07-25 11:55:43	ga_s2am_ard_3-2-1_50JMP_2023-07-25_final.stac-item
2023-08-31 11:42:41	ga_s2am_ard_3-2-1_51KVA_2023-08-31_final.stac-item
2023-09-03 11:56:05	ga_s2am_ard_3-2-1_50JKN_2023-09-03_final.stac-item
2023-09-13 11:55:51	ga_s2am_ard_3-2-1_50JKP_2023-09-13_final.stac-item
2023-09-13 11:56:04	ga_s2am_ard_3-2-1_50JKN_2023-09-13_final.stac-item
2023-12-29 11:42:10	ga_s2am_ard_3-2-1_51KVB_2023-12-29_final.stac-item
2024-01-25 11:31:42	ga_s2am_ard_3-2-1_51LZC_2024-01-25_final.stac-item
2024-04-24 11:36:49	ga_s2am_ard_3-2-1_51HTD_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

All years