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
2015-12-06 10:54:01	ga_s2am_ard_3-2-1_53JKN_2015-12-06_final.stac-item
2016-01-01 11:11:08	ga_s2am_ard_3-2-1_52LGL_2016-01-01_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JFM_2016-05-04_final.stac-item
2016-07-19 11:12:19	ga_s2am_ard_3-2-1_52KDV_2016-07-19_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KUQ_2016-08-04_final.stac-item
2016-09-17 11:10:32	ga_s2am_ard_3-2-1_52LFM_2016-09-17_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KVB_2017-05-24_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HQJ_2017-06-13_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KTU_2017-06-13_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_51JWJ_2017-07-10_final
2017-09-25 11:26:05	ga_s2am_ard_3-2-1_51JVF_2017-09-25_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGP_2017-10-07_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LWC_2017-11-07_final
2017-11-21 11:07:09	ga_s2am_ard_3-2-1_52LFK_2017-11-21_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_52LBK_2018-02-02_final
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KXA_2018-03-27_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HQK_2018-04-19_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KUQ_2018-05-06_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KUQ_2018-05-16_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50KNA_2018-06-04_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KVA_2018-07-08_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KEC_2018-07-19_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWK_2018-09-30_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KWA_2018-10-13_final
2018-11-09 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2018-11-09_final
2018-11-15 11:43:08	ga_s2am_ard_3-2-1_50KRC_2018-11-15_final
2019-02-12 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-12_final
2019-02-17 11:22:19	ga_s2am_ard_3-2-1_52KBF_2019-02-17_final
2019-03-03 11:02:21	ga_s2am_ard_3-2-1_52KHE_2019-03-03_final
2019-04-15 11:10:45	ga_s2am_ard_3-2-1_52LGM_2019-04-15_final
2019-04-23 10:36:39	ga_s2am_ard_3-2-1_53HNC_2019-04-23_final
2019-05-01 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-05-01_final
2019-05-05 11:13:23	ga_s2am_ard_3-2-1_52KDB_2019-05-05_final
2019-07-04 11:13:45	ga_s2am_ard_3-2-1_51KZR_2019-07-04_final
2019-07-19 12:04:48	ga_s2am_ard_3-2-1_50JKT_2019-07-19_final
2019-07-20 11:32:56	ga_s2am_ard_3-2-1_51KYU_2019-07-20_final
2019-08-03 11:13:56	ga_s2am_ard_3-2-1_52KCV_2019-08-03_final
2019-08-05 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-08-05_final
2019-10-17 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-10-17_final
2019-11-20 11:44:03	ga_s2am_ard_3-2-1_50KRV_2019-11-20_final
2019-12-31 11:13:02	ga_s2am_ard_3-2-1_52KCC_2019-12-31_final
2020-02-05 11:36:54	ga_s2am_ard_3-2-1_50HQH_2020-02-05_final
2020-03-03 11:24:14	ga_s2am_ard_3-2-1_52JBT_2020-03-03_final
2020-03-11 10:44:06	ga_s2am_ard_3-2-1_53JMN_2020-03-11_final
2020-03-19 11:43:29	ga_s2am_ard_3-2-1_51KTS_2020-03-19_final
2020-04-19 11:13:05	ga_s2am_ard_3-2-1_52KDC_2020-04-19_final
2020-05-18 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-05-18_final
2020-05-31 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-05-31_final
2020-06-30 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-06-30_final
2020-08-16 11:43:24	ga_s2am_ard_3-2-1_51KTT_2020-08-16_final
2020-09-22 11:33:06	ga_s2am_ard_3-2-1_51KVU_2020-09-22_final
2020-11-11 11:32:51	ga_s2am_ard_3-2-1_51KVV_2020-11-11_final
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final
2020-12-08 11:21:29	ga_s2am_ard_3-2-1_52LDJ_2020-12-08_final
2020-12-14 11:46:27	ga_s2am_ard_3-2-1_50HQK_2020-12-14_final
2020-12-28 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2020-12-28_final
2021-01-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-06_final
2021-01-21 11:04:01	ga_s2am_ard_3-2-1_52KFU_2021-01-21_final
2021-02-02 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-02-02_final
2021-02-19 11:31:59	ga_s2am_ard_3-2-1_51LWC_2021-02-19_final
2021-04-04 11:13:37	ga_s2am_ard_3-2-1_51KZR_2021-04-04_final
2021-04-09 12:03:36	ga_s2am_ard_3-2-1_50KLB_2021-04-09_final
2021-04-29 10:26:33	ga_s2am_ard_3-2-1_53HPC_2021-04-29_final
2021-06-09 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-09_final
2021-09-14 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-09-14_final
2021-09-29 10:36:21	ga_s2am_ard_3-2-1_53HLE_2021-09-29_final
2021-12-02 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-12-02_final
2022-01-22 11:23:00	ga_s2am_ard_3-2-1_51KXU_2022-01-22_final
2022-01-25 11:31:39	ga_s2am_ard_3-2-1_51LYD_2022-01-25_final
2022-01-29 11:14:38	ga_s2am_ard_3-2-1_52JBS_2022-01-29_final
2022-02-19 10:45:56	ga_s2am_ard_3-2-1_53JLF_2022-02-19_final
2022-03-10 11:10:33	ga_s2am_ard_3-2-1_52LGN_2022-03-10_final
2022-04-03 10:55:26	ga_s2am_ard_3-2-1_53JKH_2022-04-03_final
2022-04-10 10:45:48	ga_s2am_ard_3-2-1_52JGM_2022-04-10_final
2022-06-03 10:26:48	ga_s2am_ard_3-2-1_53HNC_2022-06-03_final
2022-06-11 11:24:03	ga_s2am_ard_3-2-1_51KYQ_2022-06-11_final
2022-07-04 11:34:01	ga_s2am_ard_3-2-1_51KUR_2022-07-04_final
2022-07-08 11:14:04	ga_s2am_ard_3-2-1_52KCV_2022-07-08_final
2022-08-09 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-08-09_final
2022-09-24 10:36:23	ga_s2am_ard_3-2-1_53HLE_2022-09-24_final.stac-item
2022-11-28 11:23:35	ga_s2am_ard_3-2-1_51KZR_2022-11-28_final.stac-item
2023-03-04 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-03-04_final.stac-item
2023-03-29 10:52:29	ga_s2am_ard_3-2-1_52KHE_2023-03-29_final.stac-item
2023-03-30 10:27:05	ga_s2am_ard_3-2-1_53HPA_2023-03-30_final.stac-item
2023-06-26 11:24:59	ga_s2am_ard_3-2-1_51JXL_2023-06-26_final.stac-item
2023-06-29 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-29_final.stac-item
2023-07-11 10:35:57	ga_s2am_ard_3-2-1_53JNF_2023-07-11_final.stac-item
2023-07-13 11:13:56	ga_s2am_ard_3-2-1_52KCV_2023-07-13_final.stac-item
2023-08-08 11:32:04	ga_s2am_ard_3-2-1_51LWC_2023-08-08_final.stac-item
2023-08-31 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-08-31_final.stac-item
2023-09-06 12:05:02	ga_s2am_ard_3-2-1_50JKS_2023-09-06_final.stac-item
2023-10-20 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-20_final.stac-item
2023-11-05 12:04:27	ga_s2am_ard_3-2-1_49KHP_2023-11-05_final.stac-item
2023-11-08 10:36:24	ga_s2am_ard_3-2-1_53HMD_2023-11-08_final.stac-item
2023-11-30 11:13:46	ga_s2am_ard_3-2-1_51KZQ_2023-11-30_final.stac-item
2023-12-23 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2023-12-23_final.stac-item
2024-01-05 11:32:25	ga_s2am_ard_3-2-1_51KWA_2024-01-05_final.stac-item
2024-02-24 11:36:56	ga_s2am_ard_3-2-1_51HUC_2024-02-24_final.stac-item
2024-03-14 12:03:44	ga_s2am_ard_3-2-1_50KKB_2024-03-14_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