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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLP_2016-03-16_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50KRD_2016-05-09_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51JTF_2016-05-26_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KWV_2016-06-05_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKR_2016-06-24_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JNL_2016-07-01_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHR_2016-07-14_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KRC_2016-10-29_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KQG_2016-11-28_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51HUC_2017-01-01_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KVU_2017-04-14_final.stac-item
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGM_2017-06-12_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_51KVV_2017-10-31_final
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KQC_2017-12-23_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_51HTD_2018-01-26_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KUS_2018-03-27_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KVV_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWA_2018-06-05_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KNA_2018-06-11_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGM_2018-07-27_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMK_2018-08-07_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JML_2018-08-30_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_51KUU_2018-09-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-10-02_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLN_2018-10-19_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KVB_2018-10-23_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-11-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVV_2018-11-02_final
2018-12-09 11:26:46	ga_s2am_ard_3-2-1_51HWC_2018-12-09_final.stac-item
2018-12-12 11:32:20	ga_s2am_ard_3-2-1_51KWA_2018-12-12_final
2019-01-04 11:45:12	ga_s2am_ard_3-2-1_50JQQ_2019-01-04_final
2019-01-17 11:53:17	ga_s2am_ard_3-2-1_50KPC_2019-01-17_final
2019-04-13 12:14:00	ga_s2am_ard_3-2-1_49KGR_2019-04-13_final
2019-05-21 11:37:21	ga_s2am_ard_3-2-1_50HQG_2019-05-21_final.stac-item
2019-05-28 11:25:41	ga_s2am_ard_3-2-1_51JXH_2019-05-28_final
2019-09-07 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-07_final
2019-11-27 11:34:37	ga_s2am_ard_3-2-1_50JRT_2019-11-27_final
2019-12-20 11:46:17	ga_s2am_ard_3-2-1_50JNL_2019-12-20_final
2019-12-27 11:34:19	ga_s2am_ard_3-2-1_51JWN_2019-12-27_final
2020-04-08 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2020-04-08_final
2020-04-22 11:25:25	ga_s2am_ard_3-2-1_51JXJ_2020-04-22_final
2020-05-24 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-05-24_final
2020-06-03 12:04:05	ga_s2am_ard_3-2-1_50KKA_2020-06-03_final
2020-06-14 11:32:53	ga_s2am_ard_3-2-1_51KVV_2020-06-14_final
2020-07-14 11:32:24	ga_s2am_ard_3-2-1_51KVB_2020-07-14_final
2020-07-27 11:44:07	ga_s2am_ard_3-2-1_50KRV_2020-07-27_final
2020-09-29 11:24:11	ga_s2am_ard_3-2-1_51KXP_2020-09-29_final
2020-10-02 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-10-02_final
2020-10-05 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-10-05_final
2020-10-22 11:34:19	ga_s2am_ard_3-2-1_51KVP_2020-10-22_final
2020-11-11 11:36:24	ga_s2am_ard_3-2-1_50JQL_2020-11-11_final
2020-11-21 11:32:14	ga_s2am_ard_3-2-1_51KXB_2020-11-21_final
2020-12-01 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2020-12-01_final
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final
2020-12-18 11:26:52	ga_s2am_ard_3-2-1_51HWC_2020-12-18_final.stac-item
2021-01-19 12:04:29	ga_s2am_ard_3-2-1_50KKU_2021-01-19_final
2021-02-06 11:24:14	ga_s2am_ard_3-2-1_51KWP_2021-02-06_final
2021-02-15 11:55:52	ga_s2am_ard_3-2-1_50JMN_2021-02-15_final
2021-04-03 11:45:29	ga_s2am_ard_3-2-1_50JQP_2021-04-03_final
2021-05-23 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-05-23_final
2021-06-02 11:44:32	ga_s2am_ard_3-2-1_51JTN_2021-06-02_final
2021-06-28 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-06-28_final
2021-08-21 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-21_final.stac-item
2021-08-28 11:37:02	ga_s2am_ard_3-2-1_51HTC_2021-08-28_final
2021-09-03 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-09-03_final
2021-09-07 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-09-07_final
2021-09-20 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-09-20_final
2021-09-20 11:43:20	ga_s2am_ard_3-2-1_51KTT_2021-09-20_final
2021-09-26 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-09-26_final
2021-09-30 11:43:07	ga_s2am_ard_3-2-1_51KTU_2021-09-30_final
2021-10-20 11:43:23	ga_s2am_ard_3-2-1_51KTT_2021-10-20_final
2021-10-30 11:42:18	ga_s2am_ard_3-2-1_51KVB_2021-10-30_final
2022-01-05 11:34:27	ga_s2am_ard_3-2-1_51JWN_2022-01-05_final
2022-02-04 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2022-02-04_final
2022-03-22 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-22_final
2022-03-29 11:43:21	ga_s2am_ard_3-2-1_50KRC_2022-03-29_final
2022-07-03 12:05:14	ga_s2am_ard_3-2-1_49JGM_2022-07-03_final
2022-08-03 11:37:13	ga_s2am_ard_3-2-1_50HQH_2022-08-03_final
2022-08-26 11:43:16	ga_s2am_ard_3-2-1_51KTU_2022-08-26_final
2022-09-21 12:03:52	ga_s2am_ard_3-2-1_50KKB_2022-09-21_final.stac-item
2022-10-01 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-10-01_final.stac-item
2022-10-02 11:32:51	ga_s2am_ard_3-2-1_51KWV_2022-10-02_final.stac-item
2022-11-30 12:03:59	ga_s2am_ard_3-2-1_50KKA_2022-11-30_final.stac-item
2022-12-01 11:36:14	ga_s2am_ard_3-2-1_51JUF_2022-12-01_final.stac-item
2022-12-04 11:43:04	ga_s2am_ard_3-2-1_51KTU_2022-12-04_final.stac-item
2022-12-20 12:04:23	ga_s2am_ard_3-2-1_50KLU_2022-12-20_final.stac-item
2023-01-16 11:52:34	ga_s2am_ard_3-2-1_50KPF_2023-01-16_final.stac-item
2023-03-28 11:25:11	ga_s2am_ard_3-2-1_51JWK_2023-03-28_final.stac-item
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_50KKA_2023-03-30_final.stac-item
2023-04-13 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2023-04-13_final.stac-item
2023-05-03 11:43:19	ga_s2am_ard_3-2-1_50KRC_2023-05-03_final.stac-item
2023-07-08 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-08_final.stac-item
2023-09-17 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-09-17_final.stac-item
2024-01-08 11:42:41	ga_s2am_ard_3-2-1_51KUV_2024-01-08_final.stac-item
2024-03-01 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-01_final.stac-item
2024-03-08 11:44:06	ga_s2am_ard_3-2-1_50KQV_2024-03-08_final.stac-item
2024-03-09 11:14:56	ga_s2am_ard_3-2-1_51JYL_2024-03-09_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