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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HQG_2017-07-25_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQM_2017-09-23_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KPV_2017-12-18_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNG_2018-01-04_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPG_2018-01-14_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JPL_2018-02-10_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KMC_2018-03-21_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KLU_2018-03-28_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPS_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KMC_2018-04-07_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNL_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNQ_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPT_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50KPU_2018-04-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQG_2018-06-20_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2018-06-23_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KQD_2018-07-16_final.stac-item
2018-08-29 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-08-29_final.stac-item
2018-09-14 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-09-14_final.stac-item
2018-12-10 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2018-12-10_final
2018-12-10 11:44:24	ga_s2bm_ard_3-2-1_50JRT_2018-12-10_final
2018-12-20 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2018-12-20_final
2018-12-23 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2018-12-23_final
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final
2019-01-12 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2019-01-12_final
2019-01-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-01-19_final.stac-item
2019-01-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-01-22_final
2019-01-26 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-01-26_final.stac-item
2019-03-13 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2019-03-13_final
2019-03-13 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2019-03-13_final
2019-03-27 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-03-27_final.stac-item
2019-03-30 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-03-30_final.stac-item
2019-04-09 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2019-04-09_final.stac-item
2019-05-19 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-19_final
2019-06-11 11:55:57	ga_s2bm_ard_3-2-1_50JNN_2019-06-11_final
2019-07-31 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-07-31_final.stac-item
2019-08-03 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-08-03_final
2019-09-30 11:27:11	ga_s2bm_ard_3-2-1_51HUB_2019-09-30_final.stac-item
2019-11-24 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-11-24_final
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final
2019-12-25 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2019-12-25_final
2019-12-25 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2019-12-25_final.stac-item
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-01-14 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-01-14_final
2020-02-06 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2020-02-06_final
2020-04-06 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2020-04-06_final.stac-item
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final
2020-07-21 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-21_final
2020-07-26 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-07-26_final
2020-08-14 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-08-14_final.stac-item
2020-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-09-16_final
2020-10-20 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2020-10-20_final
2020-10-23 11:54:04	ga_s2bm_ard_3-2-1_50KQV_2020-10-23_final
2020-10-29 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-10-29_final
2021-01-08 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-01-08_final
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-01-27 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-01-27_final.stac-item
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final.stac-item
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final
2021-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-06_final
2021-03-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-03-29_final.stac-item
2021-04-14 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2021-04-14_final
2021-04-25 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-04-25_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-17 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-17_final.stac-item
2021-07-03 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-07-03_final
2021-07-17 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-17_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-09 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-08-09_final
2021-08-13 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-08-13_final
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final
2021-09-05 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-09-05_final
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final
2021-11-24 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2021-11-24_final
2021-12-04 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2021-12-04_final
2021-12-27 11:52:54	ga_s2bm_ard_3-2-1_50KRD_2021-12-27_final
2021-12-31 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2021-12-31_final
2022-01-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-01-06_final
2022-02-12 11:43:45	ga_s2bm_ard_3-2-1_50KQA_2022-02-12_final
2022-02-12 11:43:59	ga_s2bm_ard_3-2-1_50KQV_2022-02-12_final
2022-02-15 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2022-02-15_final
2022-04-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2022-04-03_final
2022-05-03 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2022-05-03_final
2022-06-12 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-06-12_final
2022-06-25 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-06-25_final.stac-item
2022-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-11-06_final.stac-item
2023-01-05 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-05_final.stac-item
2023-01-11 11:54:18	ga_s2bm_ard_3-2-1_50KNU_2023-01-11_final.stac-item
2023-03-19 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-03-19_final.stac-item
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final.stac-item
2023-04-28 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-28_final.stac-item
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final.stac-item
2023-12-17 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2023-12-17_final.stac-item
2024-01-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-16_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_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