Search ga_s2bm_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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KUR_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KUU_2017-09-16_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KUS_2017-09-23_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KCB_2017-09-27_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-21_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KWT_2018-06-30_final
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52KFC_2018-07-24_final
2018-09-04 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-09-04_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JGR_2018-09-19_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-09-20_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_50KKV_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTT_2018-09-21_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52KCA_2018-09-22_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWB_2018-09-28_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51LXD_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JUH_2018-10-08_final
2019-02-06 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2019-02-06_final
2019-04-20 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2019-04-20_final
2019-05-07 11:02:56	ga_s2bm_ard_3-2-1_52KFD_2019-05-07_final
2019-06-19 11:12:50	ga_s2bm_ard_3-2-1_52KFD_2019-06-19_final
2019-07-08 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-07-08_final
2019-07-28 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-07-28_final
2019-07-29 11:13:23	ga_s2bm_ard_3-2-1_52KEB_2019-07-29_final
2019-08-05 11:03:13	ga_s2bm_ard_3-2-1_52KEC_2019-08-05_final
2019-09-14 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2019-09-14_final
2019-09-17 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2019-09-17_final
2019-09-20 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-09-20_final
2019-09-22 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-09-22_final
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final
2019-12-05 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2019-12-05_final
2020-04-24 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2020-04-24_final
2020-05-01 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2020-05-01_final
2020-05-07 11:23:43	ga_s2bm_ard_3-2-1_51KYQ_2020-05-07_final
2020-05-11 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2020-05-11_final
2020-06-01 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-06-01_final
2020-06-03 11:13:10	ga_s2bm_ard_3-2-1_52KEC_2020-06-03_final
2020-06-10 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2020-06-10_final
2020-07-09 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-07-09_final
2020-07-22 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-07-22_final
2020-07-25 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-07-25_final.stac-item
2020-07-26 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-07-26_final
2020-07-26 11:23:47	ga_s2bm_ard_3-2-1_51KYQ_2020-07-26_final
2020-08-05 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2020-08-05_final
2020-08-05 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-08-05_final
2020-08-05 11:24:03	ga_s2bm_ard_3-2-1_51KXQ_2020-08-05_final
2020-08-11 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2020-08-11_final
2020-09-01 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2020-09-01_final
2020-09-07 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-09-07_final
2020-09-10 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-09-10_final
2020-09-30 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2020-09-30_final
2021-07-27 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2021-07-27_final
2021-08-29 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-08-29_final
2021-09-09 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-09-09_final
2021-12-12 11:04:30	ga_s2bm_ard_3-2-1_52JGR_2021-12-12_final
2021-12-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-12-27_final
2022-01-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final.stac-item
2022-01-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-01-10_final
2022-03-02 11:06:00	ga_s2bm_ard_3-2-1_52JDL_2022-03-02_final
2022-04-07 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-04-07_final
2022-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2022-04-16_final
2022-06-23 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2022-06-23_final
2022-07-14 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2022-07-14_final
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2023-01-16 11:04:32	ga_s2bm_ard_3-2-1_52JGR_2023-01-16_final.stac-item
2023-05-18 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-05-18_final.stac-item
2023-05-18 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-05-18_final.stac-item
2023-05-18 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-05-18_final.stac-item
2023-05-19 11:12:50	ga_s2bm_ard_3-2-1_52KFD_2023-05-19_final.stac-item
2023-05-19 11:13:35	ga_s2bm_ard_3-2-1_52KEA_2023-05-19_final.stac-item
2023-06-18 11:13:35	ga_s2bm_ard_3-2-1_52KEA_2023-06-18_final.stac-item
2023-07-14 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-07-14_final.stac-item
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final.stac-item
2023-08-04 11:04:40	ga_s2bm_ard_3-2-1_52JGR_2023-08-04_final.stac-item
2023-08-09 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-08-09_final.stac-item
2023-08-09 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-08-09_final.stac-item
2023-08-16 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-08-16_final.stac-item
2023-08-26 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-08-26_final.stac-item
2023-09-06 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-09-06_final.stac-item
2023-09-12 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-12_final.stac-item
2023-09-19 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-19_final.stac-item
2023-09-23 11:02:51	ga_s2bm_ard_3-2-1_52KFD_2023-09-23_final.stac-item
2023-10-18 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-10-18_final.stac-item
2023-10-23 11:02:50	ga_s2bm_ard_3-2-1_52KED_2023-10-23_final.stac-item
2023-10-23 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2023-10-23_final.stac-item
2023-10-26 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2023-10-26_final.stac-item
2023-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-11-14_final.stac-item
2023-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-20_final.stac-item
2023-11-27 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2023-11-27_final.stac-item
2023-12-11 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2023-12-11_final.stac-item
2023-12-12 11:03:01	ga_s2bm_ard_3-2-1_52KEC_2023-12-12_final.stac-item
2023-12-12 11:03:06	ga_s2bm_ard_3-2-1_52KFC_2023-12-12_final.stac-item
2023-12-27 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-12-27_final.stac-item
2024-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2024-01-13_final.stac-item
2024-01-13 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2024-01-13_final.stac-item
2024-01-23 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2024-01-23_final.stac-item
2024-02-09 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2024-02-09_final.stac-item
2024-02-10 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2024-02-10_final.stac-item
2024-03-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2024-03-03_final.stac-item
2024-04-09 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-04-09_final.stac-item
2024-04-10 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2024-04-10_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years