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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JZN_2015-10-23_final.stac-item
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KMC_2015-11-14_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-07-17_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYH_2016-12-26_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXP_2017-01-08_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUU_2017-01-24_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KVS_2017-06-13_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KNC_2017-07-29_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMK_2017-08-12_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HNH_2017-09-01_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51LWC_2017-11-20_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JKP_2017-12-03_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JZM_2017-12-11_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYH_2017-12-31_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNR_2018-02-01_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JWN_2018-02-15_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JZN_2018-02-22_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYF_2018-03-01_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLP_2018-04-22_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JNN_2018-04-22_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KZR_2018-07-12_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HPJ_2018-08-24_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51JYF_2018-10-27_final
2018-11-18 11:53:25	ga_s2am_ard_3-2-1_50KMC_2018-11-18_final
2018-12-22 11:32:06	ga_s2am_ard_3-2-1_51KWB_2018-12-22_final
2019-02-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2019-02-02_final
2019-03-15 11:44:49	ga_s2am_ard_3-2-1_50JPS_2019-03-15_final
2019-03-21 12:06:08	ga_s2am_ard_3-2-1_50JKM_2019-03-21_final
2019-03-31 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-03-31_final
2019-06-26 11:56:09	ga_s2am_ard_3-2-1_50JNM_2019-06-26_final
2019-08-16 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-08-16_final
2019-10-15 11:26:47	ga_s2am_ard_3-2-1_51HVD_2019-10-15_final
2020-01-06 11:32:23	ga_s2am_ard_3-2-1_51KWA_2020-01-06_final
2020-01-26 11:32:30	ga_s2am_ard_3-2-1_51KYV_2020-01-26_final
2020-03-30 11:13:36	ga_s2am_ard_3-2-1_51KZR_2020-03-30_final
2020-04-22 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-04-22_final
2020-06-03 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-06-03_final
2020-06-10 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-06-10_final
2020-07-14 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-07-14_final
2020-08-03 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-08-03_final
2020-08-10 11:24:32	ga_s2am_ard_3-2-1_51JXN_2020-08-10_final
2020-10-12 11:32:46	ga_s2am_ard_3-2-1_51KXV_2020-10-12_final
2020-11-14 11:46:12	ga_s2am_ard_3-2-1_50JNM_2020-11-14_final
2020-12-21 11:31:55	ga_s2am_ard_3-2-1_51LXC_2020-12-21_final
2021-01-10 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-01-10_final
2021-02-12 11:41:54	ga_s2am_ard_3-2-1_51LWC_2021-02-12_final
2021-02-12 11:44:36	ga_s2am_ard_3-2-1_50JPT_2021-02-12_final
2021-03-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2021-03-21_final
2021-03-21 11:33:26	ga_s2am_ard_3-2-1_51KWS_2021-03-21_final
2021-04-09 12:06:05	ga_s2am_ard_3-2-1_50JKM_2021-04-09_final
2021-04-17 11:22:21	ga_s2am_ard_3-2-1_51KYA_2021-04-17_final
2021-05-04 11:13:52	ga_s2am_ard_3-2-1_51KZQ_2021-05-04_final
2021-05-13 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-05-13_final
2021-05-27 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-05-27_final
2021-05-30 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-05-30_final
2021-06-16 11:23:21	ga_s2am_ard_3-2-1_51KZS_2021-06-16_final
2021-06-16 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-06-16_final
2021-06-23 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-06-23_final
2021-07-05 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-05_final
2021-08-07 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-08-07_final
2021-11-06 11:32:36	ga_s2am_ard_3-2-1_51KVA_2021-11-06_final
2021-11-22 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-11-22_final
2021-12-23 11:22:53	ga_s2am_ard_3-2-1_51KZU_2021-12-23_final
2021-12-26 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-12-26_final
2022-01-05 11:34:12	ga_s2am_ard_3-2-1_51KWP_2022-01-05_final
2022-02-01 11:22:56	ga_s2am_ard_3-2-1_51KYU_2022-02-01_final
2022-02-04 11:32:36	ga_s2am_ard_3-2-1_51KYV_2022-02-04_final
2022-02-10 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-02-10_final
2022-02-24 11:32:53	ga_s2am_ard_3-2-1_51KYU_2022-02-24_final
2022-03-02 11:56:21	ga_s2am_ard_3-2-1_50JNL_2022-03-02_final
2022-03-15 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-03-15_final
2022-03-29 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2022-03-29_final
2022-04-18 11:44:27	ga_s2am_ard_3-2-1_50KPU_2022-04-18_final
2022-04-28 11:43:38	ga_s2am_ard_3-2-1_50KRB_2022-04-28_final
2022-05-05 11:36:38	ga_s2am_ard_3-2-1_51HUE_2022-05-05_final
2022-05-12 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2022-05-12_final
2022-05-15 11:34:10	ga_s2am_ard_3-2-1_51KXP_2022-05-15_final
2022-05-18 11:47:08	ga_s2am_ard_3-2-1_50HPH_2022-05-18_final
2022-05-31 11:53:39	ga_s2am_ard_3-2-1_50KQB_2022-05-31_final
2022-06-01 11:24:23	ga_s2am_ard_3-2-1_51KWP_2022-06-01_final
2022-07-07 11:47:05	ga_s2am_ard_3-2-1_50HNJ_2022-07-07_final
2022-07-10 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-07-10_final
2022-08-03 11:34:16	ga_s2am_ard_3-2-1_51KXP_2022-08-03_final
2022-08-03 11:36:01	ga_s2am_ard_3-2-1_50JQN_2022-08-03_final
2022-08-16 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-08-16_final
2022-09-08 11:55:50	ga_s2am_ard_3-2-1_50JMP_2022-09-08_final.stac-item
2022-09-25 11:43:32	ga_s2am_ard_3-2-1_51KVS_2022-09-25_final.stac-item
2022-10-06 11:15:31	ga_s2am_ard_3-2-1_51JYJ_2022-10-06_final.stac-item
2022-10-25 11:46:40	ga_s2am_ard_3-2-1_50HNK_2022-10-25_final.stac-item
2022-10-29 11:26:51	ga_s2am_ard_3-2-1_51HUD_2022-10-29_final.stac-item
2023-01-07 11:27:00	ga_s2am_ard_3-2-1_51HUC_2023-01-07_final.stac-item
2023-01-20 11:33:29	ga_s2am_ard_3-2-1_51KUS_2023-01-20_final.stac-item
2023-04-10 11:32:22	ga_s2am_ard_3-2-1_51KYA_2023-04-10_final.stac-item
2023-11-09 11:46:07	ga_s2am_ard_3-2-1_51JTF_2023-11-09_final.stac-item
2024-03-02 11:22:56	ga_s2am_ard_3-2-1_51KYU_2024-03-02_final.stac-item
2024-03-08 11:42:28	ga_s2am_ard_3-2-1_51KVA_2024-03-08_final.stac-item
2024-03-08 11:45:36	ga_s2am_ard_3-2-1_50JPP_2024-03-08_final.stac-item
2024-03-25 11:33:28	ga_s2am_ard_3-2-1_51KWS_2024-03-25_final.stac-item
2024-04-11 11:24:56	ga_s2am_ard_3-2-1_51JXL_2024-04-11_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