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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HVE_2016-06-05_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HQJ_2016-07-08_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_50KKB_2016-07-17_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JMM_2016-07-31_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKP_2016-09-19_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KTT_2016-11-15_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50JNL_2017-02-03_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_51JTG_2017-07-20_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMP_2017-09-14_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-21_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUE_2017-10-05_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KTR_2017-10-11_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKT_2018-02-14_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-02-24_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JLP_2018-04-25_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51HVC_2018-06-12_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2018-06-28_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JVG_2018-07-22_final
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KMC_2018-07-31_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-09-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JTL_2018-10-13_final
2018-11-19 11:26:37	ga_s2am_ard_3-2-1_51HVD_2018-11-19_final
2018-11-22 11:35:19	ga_s2am_ard_3-2-1_51JVJ_2018-11-22_final
2019-02-19 12:05:08	ga_s2am_ard_3-2-1_50JKR_2019-02-19_final
2019-03-15 11:43:14	ga_s2am_ard_3-2-1_51KTT_2019-03-15_final
2019-03-28 11:53:17	ga_s2am_ard_3-2-1_50KQC_2019-03-28_final
2019-03-31 12:03:38	ga_s2am_ard_3-2-1_50KMB_2019-03-31_final
2019-08-12 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-08-12_final
2019-08-26 11:25:11	ga_s2am_ard_3-2-1_51JXK_2019-08-26_final
2019-08-29 11:36:47	ga_s2am_ard_3-2-1_51HTD_2019-08-29_final
2019-09-14 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-09-14_final
2019-10-14 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-10-14_final
2019-11-24 11:26:18	ga_s2am_ard_3-2-1_51JUF_2019-11-24_final
2019-12-14 11:25:37	ga_s2am_ard_3-2-1_51JWH_2019-12-14_final
2019-12-27 11:36:14	ga_s2am_ard_3-2-1_50JQL_2019-12-27_final
2020-01-09 11:46:13	ga_s2am_ard_3-2-1_50JPL_2020-01-09_final
2020-02-11 11:55:34	ga_s2am_ard_3-2-1_50JLP_2020-02-11_final
2020-02-18 11:43:12	ga_s2am_ard_3-2-1_50KRC_2020-02-18_final
2020-02-24 12:04:52	ga_s2am_ard_3-2-1_50JKS_2020-02-24_final
2020-03-13 11:24:33	ga_s2am_ard_3-2-1_51JYM_2020-03-13_final
2020-06-20 11:53:23	ga_s2am_ard_3-2-1_50KQC_2020-06-20_final
2020-06-23 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-23_final
2020-07-03 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-03_final
2020-07-07 11:43:08	ga_s2am_ard_3-2-1_51KTU_2020-07-07_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-08-17 11:14:29	ga_s2am_ard_3-2-1_51JZN_2020-08-17_final
2020-08-26 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-08-26_final
2020-09-05 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-09-05_final.stac-item
2020-10-15 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-10-15_final
2020-11-18 11:27:01	ga_s2am_ard_3-2-1_51HVC_2020-11-18_final
2020-11-27 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-11-27_final
2020-12-04 11:44:12	ga_s2am_ard_3-2-1_51KUP_2020-12-04_final
2020-12-10 12:03:20	ga_s2am_ard_3-2-1_50KMC_2020-12-10_final
2020-12-10 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-12-10_final
2020-12-24 11:43:17	ga_s2am_ard_3-2-1_51KTT_2020-12-24_final
2021-01-26 11:52:35	ga_s2am_ard_3-2-1_50KQF_2021-01-26_final.stac-item
2021-01-27 11:26:48	ga_s2am_ard_3-2-1_51HUD_2021-01-27_final
2021-01-30 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-01-30_final
2021-02-19 11:34:50	ga_s2am_ard_3-2-1_51JVL_2021-02-19_final
2021-03-04 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-03-04_final
2021-04-26 11:52:16	ga_s2am_ard_3-2-1_50KQG_2021-04-26_final.stac-item
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final
2021-06-09 11:37:13	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-22 11:44:02	ga_s2am_ard_3-2-1_51KTQ_2021-06-22_final
2021-07-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2021-07-18_final
2021-09-07 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-09-07_final
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_50KKA_2021-10-26_final
2021-11-03 11:25:46	ga_s2am_ard_3-2-1_51JWH_2021-11-03_final
2021-11-05 12:03:45	ga_s2am_ard_3-2-1_50KLB_2021-11-05_final
2021-11-05 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-11-05_final
2021-12-23 11:27:03	ga_s2am_ard_3-2-1_51HUC_2021-12-23_final
2022-01-15 11:34:44	ga_s2am_ard_3-2-1_51JVM_2022-01-15_final
2022-01-21 11:53:21	ga_s2am_ard_3-2-1_50KPC_2022-01-21_final
2022-04-18 11:44:06	ga_s2am_ard_3-2-1_50KRV_2022-04-18_final
2022-05-05 11:36:41	ga_s2am_ard_3-2-1_50HQK_2022-05-05_final
2022-05-31 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-05-31_final
2022-06-11 11:25:19	ga_s2am_ard_3-2-1_51JXK_2022-06-11_final
2022-07-30 11:56:32	ga_s2am_ard_3-2-1_50JML_2022-07-30_final
2022-08-09 11:54:25	ga_s2am_ard_3-2-1_50KQU_2022-08-09_final
2022-08-10 11:24:34	ga_s2am_ard_3-2-1_51JYN_2022-08-10_final
2022-09-05 11:45:17	ga_s2am_ard_3-2-1_50JQR_2022-09-05_final.stac-item
2022-09-19 11:25:29	ga_s2am_ard_3-2-1_51JYJ_2022-09-19_final.stac-item
2022-09-28 11:53:24	ga_s2am_ard_3-2-1_50KQC_2022-09-28_final.stac-item
2022-10-18 11:56:02	ga_s2am_ard_3-2-1_50JKN_2022-10-18_final.stac-item
2022-11-17 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-11-17_final.stac-item
2022-11-30 12:03:38	ga_s2am_ard_3-2-1_50KMB_2022-11-30_final.stac-item
2023-01-23 11:44:12	ga_s2am_ard_3-2-1_50KRU_2023-01-23_final.stac-item
2023-02-28 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2023-02-28_final.stac-item
2023-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-03-27_final.stac-item
2023-06-15 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-06-15_final.stac-item
2023-07-08 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-08_final.stac-item
2023-08-05 11:26:34	ga_s2am_ard_3-2-1_51HVE_2023-08-05_final.stac-item
2023-08-11 11:45:51	ga_s2am_ard_3-2-1_50JQN_2023-08-11_final.stac-item
2023-10-20 11:43:32	ga_s2am_ard_3-2-1_51KTS_2023-10-20_final.stac-item
2023-11-25 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-11-25_final.stac-item
2024-02-10 11:53:07	ga_s2am_ard_3-2-1_50KRC_2024-02-10_final.stac-item
2024-02-13 12:03:24	ga_s2am_ard_3-2-1_50KLC_2024-02-13_final.stac-item
2024-02-13 12:06:01	ga_s2am_ard_3-2-1_50JLM_2024-02-13_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