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
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JWL_2016-01-24_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_50KKA_2016-03-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KUQ_2016-07-08_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HPJ_2016-08-24_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KLB_2016-12-31_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KUQ_2017-01-31_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51HTD_2017-05-31_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50KRV_2017-06-13_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KVV_2017-09-21_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50JNL_2017-10-11_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_51KVA_2017-10-11_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLJ_2017-11-13_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KWA_2017-12-17_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KRC_2018-01-19_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KPB_2018-02-01_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HQH_2018-02-15_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51HTD_2018-02-15_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HQG_2018-03-07_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-03-19_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KWB_2018-08-17_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KVP_2018-09-13_final
2018-11-12 11:35:32	ga_s2am_ard_3-2-1_50JQP_2018-11-12_final
2018-11-18 11:53:18	ga_s2am_ard_3-2-1_50KNC_2018-11-18_final
2018-11-29 11:24:06	ga_s2am_ard_3-2-1_51KWP_2018-11-29_final
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_50KRD_2019-01-04_final
2019-02-26 11:56:00	ga_s2am_ard_3-2-1_50JNM_2019-02-26_final
2019-05-04 11:42:13	ga_s2am_ard_3-2-1_51KWB_2019-05-04_final
2019-05-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-10_final
2019-06-09 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-06-09_final
2019-07-17 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-17_final
2019-07-20 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-20_final
2019-08-11 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-11_final
2019-08-29 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-08-29_final
2019-09-04 11:55:56	ga_s2am_ard_3-2-1_50JLN_2019-09-04_final
2019-09-11 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2019-09-11_final
2019-09-28 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-09-28_final
2019-10-27 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-11-20 11:42:14	ga_s2am_ard_3-2-1_51KVB_2019-11-20_final
2020-02-07 12:13:50	ga_s2am_ard_3-2-1_49KGR_2020-02-07_final
2020-03-09 11:42:38	ga_s2am_ard_3-2-1_51KVV_2020-03-09_final
2020-03-09 11:46:19	ga_s2am_ard_3-2-1_50JNL_2020-03-09_final
2020-04-02 11:23:54	ga_s2am_ard_3-2-1_51KWQ_2020-04-02_final
2020-04-21 11:53:43	ga_s2am_ard_3-2-1_50KMB_2020-04-21_final
2020-05-01 11:53:20	ga_s2am_ard_3-2-1_50KQC_2020-05-01_final
2020-05-15 11:34:53	ga_s2am_ard_3-2-1_51JVL_2020-05-15_final
2020-06-08 11:16:50	ga_s2am_ard_3-2-1_51HWD_2020-06-08_final
2020-06-30 11:56:23	ga_s2am_ard_3-2-1_50JNL_2020-06-30_final
2020-07-01 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2020-07-01_final
2020-07-07 11:42:13	ga_s2am_ard_3-2-1_51KWB_2020-07-07_final
2020-07-17 11:44:35	ga_s2am_ard_3-2-1_50JRT_2020-07-17_final
2020-08-27 11:14:28	ga_s2am_ard_3-2-1_51JZN_2020-08-27_final
2020-09-15 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-09-15_final
2020-10-05 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-10-05_final
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2020-11-14 11:43:21	ga_s2am_ard_3-2-1_51KTT_2020-11-14_final
2020-11-28 11:24:15	ga_s2am_ard_3-2-1_51KWP_2020-11-28_final
2021-02-18 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-02-18_final
2021-03-24 11:44:21	ga_s2am_ard_3-2-1_50KPU_2021-03-24_final
2021-04-20 11:32:15	ga_s2am_ard_3-2-1_51KVB_2021-04-20_final
2021-04-30 11:35:05	ga_s2am_ard_3-2-1_51JWK_2021-04-30_final
2021-05-12 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-05-12_final
2021-05-16 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-05-16_final
2021-06-16 11:25:45	ga_s2am_ard_3-2-1_51JYG_2021-06-16_final
2021-06-22 11:45:04	ga_s2am_ard_3-2-1_50JQR_2021-06-22_final
2021-06-26 11:24:31	ga_s2am_ard_3-2-1_51JWN_2021-06-26_final
2021-07-15 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-07-15_final
2021-07-26 11:27:02	ga_s2am_ard_3-2-1_51HVC_2021-07-26_final
2021-10-16 12:04:37	ga_s2am_ard_3-2-1_49KGP_2021-10-16_final
2021-11-10 11:14:44	ga_s2am_ard_3-2-1_51JYM_2021-11-10_final
2021-11-19 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-11-19_final
2021-12-19 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-12-19_final
2022-02-07 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-02-07_final
2022-02-24 11:33:25	ga_s2am_ard_3-2-1_51KUT_2022-02-24_final
2022-03-29 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2022-03-29_final
2022-05-22 11:27:08	ga_s2am_ard_3-2-1_51HUC_2022-05-22_final
2022-07-14 11:35:02	ga_s2am_ard_3-2-1_50JRS_2022-07-14_final
2022-09-18 11:54:05	ga_s2am_ard_3-2-1_50KNA_2022-09-18_final.stac-item
2022-11-01 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2022-11-01_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2023-01-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-01-23_final.stac-item
2023-01-27 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2023-01-27_final.stac-item
2023-03-01 11:34:55	ga_s2am_ard_3-2-1_51JVL_2023-03-01_final.stac-item
2023-03-10 12:05:46	ga_s2am_ard_3-2-1_50JLN_2023-03-10_final.stac-item
2023-04-20 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-04-20_final.stac-item
2023-05-02 12:14:42	ga_s2am_ard_3-2-1_49JGN_2023-05-02_final.stac-item
2023-05-30 11:33:52	ga_s2am_ard_3-2-1_51KUR_2023-05-30_final.stac-item
2023-06-15 11:53:29	ga_s2am_ard_3-2-1_50KNC_2023-06-15_final.stac-item
2023-06-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2023-06-15_final.stac-item
2023-06-16 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-06-16_final.stac-item
2023-07-22 11:42:13	ga_s2am_ard_3-2-1_51KWB_2023-07-22_final.stac-item
2023-08-12 11:15:15	ga_s2am_ard_3-2-1_51JYK_2023-08-12_final.stac-item
2023-09-24 11:24:57	ga_s2am_ard_3-2-1_51JXL_2023-09-24_final.stac-item
2023-11-13 11:25:12	ga_s2am_ard_3-2-1_51JWK_2023-11-13_final.stac-item
2023-11-23 11:26:43	ga_s2am_ard_3-2-1_51HUD_2023-11-23_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_50KKU_2023-12-05_final.stac-item
2023-12-29 11:46:16	ga_s2am_ard_3-2-1_50JPL_2023-12-29_final.stac-item
2024-01-11 11:56:13	ga_s2am_ard_3-2-1_50JNL_2024-01-11_final.stac-item
2024-02-20 11:53:09	ga_s2am_ard_3-2-1_50KRC_2024-02-20_final.stac-item
2024-03-18 11:43:22	ga_s2am_ard_3-2-1_50KQC_2024-03-18_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_50KKU_2024-04-13_nrt.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