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
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KUT_2016-02-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51LWC_2016-04-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGJ_2016-10-02_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51LYC_2016-12-09_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKN_2016-12-11_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HPH_2016-12-12_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRB_2017-01-14_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KRC_2017-01-24_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51LWC_2017-01-24_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-02-09_final
2017-06-13 11:40:49	ga_s2am_ard_3-2-1_50KRC_2017-06-13_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-08-08_final
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51HWE_2017-08-16_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HNK_2017-09-01_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLR_2017-12-03_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JPS_2018-02-08_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVA_2018-02-15_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HVE_2018-02-22_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKN_2018-03-16_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JKM_2018-03-26_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGK_2018-04-25_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KMC_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTD_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVM_2018-06-05_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KVP_2018-06-05_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYJ_2018-06-19_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50KQC_2018-09-06_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPJ_2018-09-13_final
2018-11-06 11:16:18	ga_s2am_ard_3-2-1_51HYE_2018-11-06_final
2019-01-01 11:33:17	ga_s2am_ard_3-2-1_51KXS_2019-01-01_final
2019-01-28 11:22:09	ga_s2am_ard_3-2-1_51KYB_2019-01-28_final
2019-02-03 11:43:15	ga_s2am_ard_3-2-1_51KTT_2019-02-03_final
2019-04-28 11:24:18	ga_s2am_ard_3-2-1_51KWP_2019-04-28_final
2019-08-09 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-08-09_final
2019-10-04 11:56:16	ga_s2am_ard_3-2-1_50JKM_2019-10-04_final
2020-01-03 11:25:47	ga_s2am_ard_3-2-1_51JXG_2020-01-03_final
2020-01-03 11:25:51	ga_s2am_ard_3-2-1_51JWG_2020-01-03_final
2020-01-16 11:33:50	ga_s2am_ard_3-2-1_51KWQ_2020-01-16_final
2020-02-11 11:55:11	ga_s2am_ard_3-2-1_50JPQ_2020-02-11_final
2020-04-14 12:04:48	ga_s2am_ard_3-2-1_50JMS_2020-04-14_final
2020-06-01 11:26:17	ga_s2am_ard_3-2-1_51JWF_2020-06-01_final
2020-08-03 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-08-03_final
2020-08-04 11:06:12	ga_s2am_ard_3-2-1_52JCL_2020-08-04_final
2020-09-29 11:23:12	ga_s2am_ard_3-2-1_51KZT_2020-09-29_final
2020-11-01 11:35:17	ga_s2am_ard_3-2-1_51JVK_2020-11-01_final
2020-12-04 11:43:23	ga_s2am_ard_3-2-1_51KVS_2020-12-04_final
2020-12-08 11:22:53	ga_s2am_ard_3-2-1_51KYU_2020-12-08_final
2021-02-05 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-02-05_final
2021-02-06 11:23:13	ga_s2am_ard_3-2-1_51KXT_2021-02-06_final
2021-03-04 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-03-04_final
2021-03-11 11:31:42	ga_s2am_ard_3-2-1_51LXD_2021-03-11_final
2021-05-23 11:45:36	ga_s2am_ard_3-2-1_50JPP_2021-05-23_final
2021-06-09 11:34:15	ga_s2am_ard_3-2-1_51KVP_2021-06-09_final
2021-07-12 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2021-07-12_final
2021-07-13 11:14:59	ga_s2am_ard_3-2-1_51JYL_2021-07-13_final
2021-08-08 11:33:30	ga_s2am_ard_3-2-1_51KWS_2021-08-08_final
2021-08-08 11:36:34	ga_s2am_ard_3-2-1_51HTE_2021-08-08_final
2021-08-21 11:47:04	ga_s2am_ard_3-2-1_50HPH_2021-08-21_final
2021-09-16 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-09-16_final
2021-10-11 11:16:11	ga_s2am_ard_3-2-1_52JBL_2021-10-11_final
2021-10-26 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-26_final
2021-10-27 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-27_final
2021-11-06 11:34:35	ga_s2am_ard_3-2-1_51JUN_2021-11-06_final
2021-11-06 11:34:53	ga_s2am_ard_3-2-1_50JRS_2021-11-06_final
2021-11-19 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-11-19_final
2022-02-27 11:42:02	ga_s2am_ard_3-2-1_51LVC_2022-02-27_final
2022-03-26 11:34:46	ga_s2am_ard_3-2-1_51JVM_2022-03-26_final
2022-03-26 11:35:04	ga_s2am_ard_3-2-1_51JUL_2022-03-26_final
2022-04-01 11:55:52	ga_s2am_ard_3-2-1_50JKP_2022-04-01_final
2022-04-18 11:44:38	ga_s2am_ard_3-2-1_50JQT_2022-04-18_final
2022-04-29 11:14:34	ga_s2am_ard_3-2-1_51JYN_2022-04-29_final
2022-05-14 12:05:41	ga_s2am_ard_3-2-1_50JLP_2022-05-14_final
2022-06-11 11:26:42	ga_s2am_ard_3-2-1_51HUE_2022-06-11_final
2022-06-18 11:16:55	ga_s2am_ard_3-2-1_51HWD_2022-06-18_final
2022-07-30 11:56:39	ga_s2am_ard_3-2-1_50HNK_2022-07-30_final
2022-08-16 11:46:13	ga_s2am_ard_3-2-1_50JQM_2022-08-16_final
2022-08-16 11:47:15	ga_s2am_ard_3-2-1_50HPH_2022-08-16_final
2022-09-02 11:34:30	ga_s2am_ard_3-2-1_51KUP_2022-09-02_final.stac-item
2022-09-02 11:36:29	ga_s2am_ard_3-2-1_51JTF_2022-09-02_final.stac-item
2022-09-29 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-09-29_final.stac-item
2022-12-08 11:24:33	ga_s2am_ard_3-2-1_51JZM_2022-12-08_final.stac-item
2022-12-08 11:26:18	ga_s2am_ard_3-2-1_51JUF_2022-12-08_final.stac-item
2023-01-06 11:55:45	ga_s2am_ard_3-2-1_50JKP_2023-01-06_final.stac-item
2023-01-17 11:22:05	ga_s2am_ard_3-2-1_51KZB_2023-01-17_final.stac-item
2023-01-27 11:26:56	ga_s2am_ard_3-2-1_51HVC_2023-01-27_final.stac-item
2023-02-13 11:16:39	ga_s2am_ard_3-2-1_51HYD_2023-02-13_final.stac-item
2023-04-09 12:06:10	ga_s2am_ard_3-2-1_50JKM_2023-04-09_final.stac-item
2023-05-17 11:21:12	ga_s2am_ard_3-2-1_51LZF_2023-05-17_nrt.stac-item
2023-06-26 11:24:44	ga_s2am_ard_3-2-1_51JXM_2023-06-26_final.stac-item
2023-07-13 11:16:51	ga_s2am_ard_3-2-1_51HXD_2023-07-13_final.stac-item
2023-07-19 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-07-19_final.stac-item
2023-07-19 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-07-19_final.stac-item
2023-07-25 11:56:12	ga_s2am_ard_3-2-1_50JMM_2023-07-25_final.stac-item
2023-10-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-10-23_final.stac-item
2023-12-29 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-12-29_final.stac-item
2024-01-22 11:22:59	ga_s2am_ard_3-2-1_51KZT_2024-01-22_final.stac-item
2024-01-26 11:06:27	ga_s2am_ard_3-2-1_52HBJ_2024-01-26_final.stac-item
2024-02-27 11:42:59	ga_s2am_ard_3-2-1_51KUU_2024-02-27_final.stac-item
2024-03-08 11:43:30	ga_s2am_ard_3-2-1_51KUS_2024-03-08_final.stac-item
2024-03-15 11:31:38	ga_s2am_ard_3-2-1_51LYD_2024-03-15_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