Global Horizontal Irradiation (250m) / Worldbank / SOLARGIS

Global Horizontal Irradiation (250m) is the data “developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA).” This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeThe start date of the 10-daily period. YYYY-MM-DD hh:mm:ss
latLatitudeDecimal -9090
lonLongitudeDecimal-180180
GHIDaily Average Global Horizontal Irradiation kWh/m²
Based on the provided information on World – Global Horizontal Irradiation (GHI) GIS Data, (Global Solar Atlas) This table is created by Otani & Co., Inc.

Further Details on Global Horizontal Irradiation (250m)

For further details, please refer the following page.

World – Global Horizontal Irradiation (GHI) GIS Data, (Global Solar Atlas)

Elevation / JAXA Earth API

Elevation is an elevation data retrieved from JAXA Earth API. This data is based on the Digital Surface Model by ALOS World 3D-30m (AWS3D30). This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeDate2021-02-28
latLatitudeDecimal -9090
lonLongitudeDecimal-180180
ElevationElevationm
Based on the provided information on Digital Surface Model (DSM), JAXA Earth API. This table is created by Otani & Co., Inc.

Further Details on Elevation

For further details, please refer the following page.

Digital Surface Model (DSM), JAXA Earth API

Soybean Data of Development Stage (DVS), Total Above-Ground Production (TAGS) and Total Weight Storage Organs (TWSO) / Copernicus

Our data for Soybean Data of Development Stage (DVS), Total Above-Ground Production (TAGS) and Total Weight Storage Organs (TWSO) is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset (DVS)

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Temporal Resolution and Update

The temporal resolution for this data is 10-daily. Also, the latest data is usually updated within 2-3 days after the latest Copernicus data is published.

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example (DVS)

Example on Spreadsheet.

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeDatetimeYYYY-MM-10 12:00:00
latLatitudeDecimal
lonLongitudeDecimal
SoybeanDWSCrop phenological stage: 0 at emergence, 1.0 at flowering, 2.0 at crop maturity02
SoybeanTAGPTotal above-ground production (dry matter)kg/ha
SoybeanTWSOTotal weight storage organs (dry matter), e.g. grains or podskg/ha
Based on the provided information on Crop Productivity Indicators: Product User Guide and Specification (PUGS), This table is created by Otani & Co., Inc.

Further Details on Soybean Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages and the ECMWF pages.

Crop productivity and evapotranspiration indicators from 2000 to present derived from satellite observations

Crop Productivity Indicators: Product User Guide and Specification (PUGS)

Soil Water Index Global (12.5km) / Copernicus

Soil Water Index Global

Our data for Soil Water Index Global (12.5km) is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is daily. Also, the latest data is usually updated within 12-24 hours after the latest Copernicus data is published.

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet.

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeDatetime the Copernicus file is published (GST).YYYY-MM-DD 12:00:00
latLatitudeDecimal-9090
lonLongitudeDecimal-180180
SWI (_001 to _60)Soil Water Index at different time lengths%01002000.50
SoilWaterIndexGlobalSWI_100%01002000.50
QFLAG (_001 to _100)Quality flag for different time lengths%01002000.50
SSFSurface State Flag03310
Based on the provided information on Soil Water Index 2007-present (raster 12.5 km), global, daily – version 3, This table is created by Otani & Co., Inc.

Please note that the column SoilWaterIndexGlobal is SWI_100.

Further Details on Soil Water Index Global

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages.

Soil Water Index 2007-present (raster 12.5 km), global, daily – version 3

PRODUCT USER MANUAL

Precipitation Rate / JAXA

Precipitation Rate / JAXA

Our data for Precipitation Rate / JAXA is based on the data from G-Portal by JAXA. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is hourly. Generally, the latest data is updated within 1-2 hours after the JAXA data becomes available in G-Portal. The data version is 8. Note that, because of using the different version, the value of the precipitation rate on JAXA Realtime Rainfall Watch is different from the value on this data. As of September 2th, 2024, the data version used in JAXA Realtime Rainfall Watch is 6. According to JAXA, the version 8 is more accurate, compare to the older version appeared on the application by JAXA.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that the precipitation rates are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical max
timeDatetime (UTC)YYYY-MM-DD hh:mm:ss
latLatitudeDecimal-6060
lonLongitudeDecimal-180180
PrecipitationRatePrecipitation Ratemm / h0 (-99, -8, -4)
gaugeQualityInfoNumber of rain gauge used in gauge adjustment at each pixel within one day.counts / day0
hourlyPrecipRateGCHourly rain rate at each pixel, calibrated by using ground-based gauge observation over land.mm / h0
observationTimeFlagRelative time of
latest microwave radiometer observation at each pixel
0 (-999, < 0)
satelliteInfoFlagAll satellite/sensor which are used in estimation of rainfall at each
pixel during one-hour time period.
1268435456
snowProbabilityThe probability ratio of snow fall in percent.%0100

Further Details on Precipitation Rate / JAXA

For further details, concerns such as satellite sensors and data accuracy, please refer the document by JAXA.

Data Format Description for Global Rainfall Map Realtime version (GSMaP_NOW) and Gauge-calibrated Rainfall Product (GSMaP_Gauge_NOW)

https://sharaku.eorc.jaxa.jp/GSMaP/document/new/DataFormatDescription_NRT8.pdf

Sea Surface Temperatures (SST) / NOAA

Sea Surface Temperatures

Our data for Sea Surface Temperature is based on the data from Coral Reef Watch, NOAA (National Oceanic and Atmospheric Administration). This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

Nighttime Ocean Temperature

According to the NOAA page, 5km Sea Surface Temperature (SST) Product is “a measurement of the nighttime ocean temperature at the sea surface, calibrated to 0.2 meters depth.”

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is daily. Also, generally, the latest data is usually updated within 1-2 hours after the latest NOAA data is published. According to the NOAA page, “It is updated each afternoon at about 12:00pm U.S. Eastern Time.”

When you see your ordered data first time, you would recognize that the data does not contain the whole data. This is NOT a bug and but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that SSTs are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Example

Example on Spreadsheet

Column Names / Property Names

NamesDescriptionPhysical unit / classesPhysical minPhysical max
timeDate (UTC).YYYY-MM-DD 12:00:002021-01-01 12:00:00
latLatitudeDecimal -9090
lonLongitudeDecimal-180180
SSTSea Surface Temperature (Nighttime & 0.2 meters depts)
sea_ice_fractionSea Ice Fraction
Based on the provided information on 5km Sea Surface Temperature (SST) Product, This table is created by Otani & Co., Inc.

Further Details on the Sea Surface Temperatures Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Coral Reef Watch pages on NOAA.

Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring (Version 3.1, 1985-present, released August 1, 2018)

5km Sea Surface Temperature (SST) Product

Land Surface Temperatures (LST) / Copernicus

Land Surface Temperatures

Our data for Land Surface Temperature is based on the data from Copernicus project in Europe. This page purposes to explain detailed information for the downloadable data.

Example Dataset

Please download a free example dataset and use it in you app or analysis.

URL Expiration

All downloadable URLs expire in 90 days after your order.

Frequency and Update

The frequency is hourly. Also, generally, the latest data is usually updated within 1-2 hours after the latest Copernicus data is published. According to the Copernicus page, for the term from 2021 to present, “The global LST product is produced every hour in Near Real Time after less than 4 hours of the observation” and, for the term from 2010 to 2021 “The global LST product is produced every hour in Near Real Time after less than 3 hours of the observation.”

When you see your ordered data first time, you would recognize that the data does not contain the whole data (01 January, 2021 00:00:00 – present). This is NOT a bug but the data creation process has not done yet. After the order, the process begins, and then the whole data becomes accessible in several hours. In every 15 minutes, the data is revised in the direction of both the future and in the past.

Data Format

The default format is csv where no single/double quotation marks are used in the file. The rows having only the value of time mean that LSTs are not observed at the point. Also, the geojson format is available, changing the file extension in the provided url from “csv” to “geojson.” Note that the geometry of geojson format is Point.

Tips for Using

Although, on our Web, Celsius is used for the unit of LST, as written below, the unit of LST on the downloadable data is Kelvin. Also, the time is not, as written below, observed time but published time. These two points should be fixed.

  • Convert the unit of LST from Kelvin to Celsius. (Celsius = Kelvin – 273.15. It is LST – 273.15).
  • Convert time, using the value of time and TIME_DELTA, the near real time (Deduct 240 + TIME_DELTA minutes from time. It is time – (4 * 60 minutes + TIME_DELTA). This is the case in using the data from 2021 to present. Using the data from 2010- 2021, the hour used in the equation should vary to 3.
  • Fix the converted time to your time zone.

Example

Example on Spreadsheet (the columns named Observed Time and LST (C°) are added).

Column Names / Property Names

2021-Present

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeDatetime the Copernicus file is published (GST).YYYY-MM-DD hh:mm:ss 2021-01-18 14:00:00
latLatitudeDecimal -6070
lonLongitudeDecimal-180180
ERRORBAR_LSTError bar for LSTK50°50001/1000
LST

Land Surface TemperatureK203.15 (-70°C)353.15 (80°C)80001/100273.15
PERCENT_PROC_PIXELSPercentage of processed pixels used in the data fusion step, when merging the data from various geostationary satellites%0100100
Q_FLAGSBitwise quality information, including information on the satellite used and cloudiness06464
TIME_DELTATime between the pixel observation time and the reference time as in the file nameMinutes-303030
Based on the provided information on Land Surface Temperature 2021-present (raster 5 km), global, hourly – version 2, This table is created by Otani & Co., Inc.

2010-2021

NamesDescriptionPhysical unit / classesPhysical minPhysical maxDigital maxScalingOffset
timeDatetime the Copernicus file is published (GST).YYYY-MM-DD hh:mm:ss2021-01-18 13:00:00
latLatitudeDecimal-6070
lonLongitudeDecimal-180180
ERRORBAR_LSTError bar for LSTK50°50001/1000
LST
Land Surface TemperatureK203.15 (-70°C)353.15 (80°C)80001/100273.15
PERCENT_PROC_PIXELSPercentage of processed pixels used in the data fusion step, when merging the data from various geostationary satellites%0100100
Q_FLAGSBitwise quality information, including information on the satellite used and cloudiness06464
TIME_DELTATime between the pixel observation time and the reference time as in the file nameMinutes-303030
Based on the provided information on Land Surface Temperature 2010-2021 (raster 5 km), global, hourly – version 1, This table is created by Otani & Co., Inc.

Further Details on the Land Surface Temperatures Data

For further details, concerns such as satellite sensors and data accuracy, please refer the Copernicus pages.

Land Surface Temperature 2021-present (raster 5 km), global, hourly – version 2

Land Surface Temperature 2010-2021 (raster 5 km), global, hourly – version 1