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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HNK_2017-07-31_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_50JQL_2017-11-02_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYH_2018-01-15_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUV_2018-02-13_final
2018-02-27 11:19:00	ga_s2bm_ard_3-2-1_51LZE_2018-02-27_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLM_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HNH_2018-03-25_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKP_2018-04-10_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JVK_2018-06-07_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUE_2018-06-20_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52HBK_2018-08-30_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51HUD_2018-09-28_final
2018-12-16 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2018-12-16_final
2018-12-26 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2018-12-26_final
2019-01-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-01-22_final
2019-01-26 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-01-26_final
2019-01-26 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-01-26_final
2019-02-05 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2019-02-05_final
2019-02-24 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-02-24_final
2019-05-06 11:35:58	ga_s2bm_ard_3-2-1_50JQN_2019-05-06_final
2019-07-04 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-07-04_final
2019-08-01 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-08-01_final
2019-08-07 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-08-07_final
2019-08-13 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-08-13_final
2019-11-11 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-11-11_final
2019-12-16 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2019-12-16_final
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_50KKA_2019-12-21_final
2019-12-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final
2020-01-04 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2020-01-04_final
2020-01-18 11:24:05	ga_s2bm_ard_3-2-1_51KXP_2020-01-18_final
2020-02-11 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2020-02-11_final
2020-03-01 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-01_final
2020-05-01 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2020-05-01_final
2020-05-07 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-05-07_final
2020-06-20 11:06:02	ga_s2bm_ard_3-2-1_52JEL_2020-06-20_final
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-07-02_final
2020-07-26 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2020-07-26_final
2020-08-11 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2020-08-11_final
2020-08-18 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-08-18_final
2020-08-31 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-31_final
2020-10-11 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-10-11_final
2020-11-20 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2020-11-20_final
2020-12-10 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2020-12-10_final
2021-01-15 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2021-01-15_final
2021-01-16 11:04:32	ga_s2bm_ard_3-2-1_52JES_2021-01-16_final
2021-01-29 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2021-01-29_final
2021-02-03 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-02-03_final
2021-02-06 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-02-06_final
2021-02-14 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2021-02-14_final
2021-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-02-17_final.stac-item
2021-02-18 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2021-02-18_final
2021-03-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-13_final
2021-06-10 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-06-10_final
2021-07-18 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2021-07-18_final
2021-07-20 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2021-07-20_final
2021-07-20 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2021-07-20_final
2021-08-05 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-08-05_final
2021-08-26 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-08-26_final
2021-08-29 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-08-29_final
2021-11-04 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-11-04_final
2021-12-08 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2021-12-08_final
2021-12-11 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2021-12-11_final
2022-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final
2022-04-07 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-04-07_final
2022-04-27 11:24:16	ga_s2bm_ard_3-2-1_51JYN_2022-04-27_final
2022-04-27 11:24:57	ga_s2bm_ard_3-2-1_51JVL_2022-04-27_final
2022-07-06 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2022-07-06_final
2022-07-22 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2022-07-22_final
2022-08-02 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2022-08-02_final
2022-08-31 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2022-08-31_final
2022-09-13 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2022-09-13_final.stac-item
2022-09-17 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2022-09-17_final.stac-item
2022-09-21 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2022-09-21_final.stac-item
2022-10-23 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-10-23_final.stac-item
2022-11-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-09_final.stac-item
2022-11-16 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-16_final.stac-item
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-11-23 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2022-11-23_final.stac-item
2023-01-05 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-05_final.stac-item
2023-01-05 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2023-01-05_final.stac-item
2023-01-12 11:24:39	ga_s2bm_ard_3-2-1_52JBR_2023-01-12_final.stac-item
2023-01-21 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2023-01-21_final.stac-item
2023-01-29 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2023-01-29_final.stac-item
2023-02-03 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-02-03_final.stac-item
2023-03-27 11:04:50	ga_s2bm_ard_3-2-1_52JER_2023-03-27_final.stac-item
2023-04-12 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2023-04-12_final.stac-item
2023-04-15 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-04-15_final.stac-item
2023-04-24 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-04-24_final.stac-item
2023-07-01 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-07-01_nrt.stac-item
2023-09-05 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-09-05_final.stac-item
2023-11-08 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-11-08_final.stac-item
2023-11-18 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-11-18_nrt.stac-item
2024-01-03 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2024-01-03_final.stac-item
2024-01-23 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-01-23_final.stac-item
2024-01-27 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2024-01-27_final.stac-item
2024-01-27 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-01-27_final.stac-item
2024-02-06 11:21:53	ga_s2bm_ard_3-2-1_51LZC_2024-02-06_final.stac-item
2024-03-03 11:44:56	ga_s2bm_ard_3-2-1_51JTL_2024-03-03_final.stac-item
2024-03-07 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2024-03-07_final.stac-item
2024-03-10 11:34:35	ga_s2bm_ard_3-2-1_51JWM_2024-03-10_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