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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50JRS_2015-11-21_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HTE_2016-09-13_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JQS_2017-01-14_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_50JRS_2017-05-31_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JFM_2017-06-22_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JMP_2017-07-16_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50KQU_2017-08-25_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JYH_2017-11-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNR_2017-12-03_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYJ_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KYB_2018-01-13_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGN_2018-01-15_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXM_2018-02-22_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HTC_2018-04-16_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HPH_2018-06-05_final
2018-12-16 11:16:03	ga_s2am_ard_3-2-1_51JXF_2018-12-16_final
2019-01-28 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2019-01-28_final
2019-05-11 11:33:06	ga_s2am_ard_3-2-1_51KXT_2019-05-11_final
2019-06-26 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-06-26_final
2019-06-26 11:56:26	ga_s2am_ard_3-2-1_50JML_2019-06-26_final
2019-06-30 11:33:05	ga_s2am_ard_3-2-1_51KYT_2019-06-30_final
2019-07-02 12:15:25	ga_s2am_ard_3-2-1_49JGK_2019-07-02_final
2019-10-31 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-10-31_final
2019-10-31 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-31_final
2019-11-01 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2019-11-01_final
2020-02-05 11:32:35	ga_s2am_ard_3-2-1_51KWV_2020-02-05_final
2020-02-21 11:56:08	ga_s2am_ard_3-2-1_50JKM_2020-02-21_final
2020-03-22 11:54:29	ga_s2am_ard_3-2-1_50JPT_2020-03-22_final
2020-04-28 11:46:11	ga_s2am_ard_3-2-1_50JNM_2020-04-28_final
2020-05-22 11:21:46	ga_s2am_ard_3-2-1_51LZD_2020-05-22_final
2020-05-25 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-05-25_final
2020-06-18 11:16:32	ga_s2am_ard_3-2-1_51HXE_2020-06-18_final
2020-06-30 11:55:51	ga_s2am_ard_3-2-1_50JKP_2020-06-30_final
2020-07-01 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2020-07-01_final
2020-08-06 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-08-06_final
2020-08-09 11:56:10	ga_s2am_ard_3-2-1_50JNM_2020-08-09_final
2020-08-09 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-08-09_final
2020-08-20 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2020-08-20_final
2020-11-11 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-11-11_final
2020-11-24 11:43:38	ga_s2am_ard_3-2-1_50KQB_2020-11-24_final
2020-12-05 11:14:07	ga_s2am_ard_3-2-1_51KZP_2020-12-05_final
2020-12-28 11:23:06	ga_s2am_ard_3-2-1_51KZT_2020-12-28_final
2021-01-07 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-01-07_final
2021-01-07 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-01-07_final
2021-01-20 11:36:44	ga_s2am_ard_3-2-1_51HTD_2021-01-20_final
2021-02-19 11:31:20	ga_s2am_ard_3-2-1_51LZE_2021-02-19_final
2021-04-13 11:44:39	ga_s2am_ard_3-2-1_50JRS_2021-04-13_final
2021-04-30 11:31:57	ga_s2am_ard_3-2-1_51LWC_2021-04-30_final
2021-05-03 11:44:43	ga_s2am_ard_3-2-1_50JRS_2021-05-03_final
2021-05-29 12:04:11	ga_s2am_ard_3-2-1_50KLV_2021-05-29_final
2021-07-13 11:14:41	ga_s2am_ard_3-2-1_51JZM_2021-07-13_final
2021-08-14 11:53:20	ga_s2am_ard_3-2-1_50KQC_2021-08-14_final
2021-09-20 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-09-20_final
2021-11-22 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-11-22_final
2021-11-30 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-11-30_final
2021-12-12 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-12-12_final
2021-12-18 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-12-18_final
2021-12-23 11:23:11	ga_s2am_ard_3-2-1_51KZT_2021-12-23_final
2022-01-25 11:33:23	ga_s2am_ard_3-2-1_51KXS_2022-01-25_final
2022-03-12 11:56:30	ga_s2am_ard_3-2-1_50JLL_2022-03-12_final
2022-04-21 11:57:10	ga_s2am_ard_3-2-1_50HMH_2022-04-21_final
2022-04-27 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-04-27_final
2022-06-01 11:25:17	ga_s2am_ard_3-2-1_51JXK_2022-06-01_final
2022-06-03 12:06:18	ga_s2am_ard_3-2-1_50JKM_2022-06-03_final
2022-06-10 11:57:18	ga_s2am_ard_3-2-1_50HLH_2022-06-10_final
2022-06-21 11:23:33	ga_s2am_ard_3-2-1_51KZS_2022-06-21_final
2022-07-21 11:25:24	ga_s2am_ard_3-2-1_51JWK_2022-07-21_final
2022-08-03 11:36:28	ga_s2am_ard_3-2-1_51JTF_2022-08-03_final
2022-09-08 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-09-08_final.stac-item
2022-09-29 11:24:39	ga_s2am_ard_3-2-1_51JZM_2022-09-29_final.stac-item
2022-09-29 11:24:48	ga_s2am_ard_3-2-1_51JXM_2022-09-29_final.stac-item
2022-11-03 12:13:44	ga_s2am_ard_3-2-1_50KKB_2022-11-03_final.stac-item
2022-11-18 11:23:15	ga_s2am_ard_3-2-1_51KXT_2022-11-18_final.stac-item
2022-11-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-24_final.stac-item
2022-12-11 11:32:33	ga_s2am_ard_3-2-1_51KVA_2022-12-11_final.stac-item
2022-12-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2022-12-18_final.stac-item
2023-01-07 11:23:05	ga_s2am_ard_3-2-1_51KZT_2023-01-07_final.stac-item
2023-01-17 11:26:14	ga_s2am_ard_3-2-1_51JUF_2023-01-17_final.stac-item
2023-01-27 11:24:27	ga_s2am_ard_3-2-1_51JWN_2023-01-27_final.stac-item
2023-02-28 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-02-28_final.stac-item
2023-03-07 11:57:10	ga_s2am_ard_3-2-1_49HGC_2023-03-07_nrt.stac-item
2023-04-10 11:31:39	ga_s2am_ard_3-2-1_51LYD_2023-04-10_final.stac-item
2023-04-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-04-10_final.stac-item
2023-05-27 11:25:13	ga_s2am_ard_3-2-1_51JXK_2023-05-27_final.stac-item
2023-06-19 11:34:44	ga_s2am_ard_3-2-1_51JWM_2023-06-19_final.stac-item
2023-06-19 11:35:02	ga_s2am_ard_3-2-1_51JVL_2023-06-19_final.stac-item
2023-06-19 11:35:34	ga_s2am_ard_3-2-1_51JUJ_2023-06-19_final.stac-item
2023-06-28 12:04:29	ga_s2am_ard_3-2-1_50KLU_2023-06-28_final.stac-item
2023-06-29 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-06-29_final.stac-item
2023-07-28 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-07-28_final.stac-item
2023-08-07 12:05:13	ga_s2am_ard_3-2-1_50JLR_2023-08-07_final.stac-item
2023-08-08 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-08-08_final.stac-item
2023-08-11 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2023-08-11_final.stac-item
2023-09-16 12:04:25	ga_s2am_ard_3-2-1_50KMU_2023-09-16_final.stac-item
2023-11-25 12:06:04	ga_s2am_ard_3-2-1_50JKM_2023-11-25_final.stac-item
2023-12-23 11:23:58	ga_s2am_ard_3-2-1_51KWQ_2023-12-23_final.stac-item
2024-01-05 11:36:28	ga_s2am_ard_3-2-1_51HTE_2024-01-05_final.stac-item
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_50HQK_2024-02-24_final.stac-item
2024-03-19 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2024-03-19_final.stac-item
2024-04-10 11:53:36	ga_s2am_ard_3-2-1_50KPB_2024-04-10_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