Package 'spectator' reference manual

Title:	Interface to the 'Spectator Earth' API
Description:	Provides interface to the 'Spectator Earth' API <https://api.spectator.earth/>, mainly for obtaining the acquisition plans and satellite overpasses for Sentinel-1, Sentinel-2, Landsat-8 and Landsat-9 satellites. Current position and trajectory can also be obtained for a much larger set of satellites. It is also possible to search the archive for available images over the area of interest for a given (past) period, get the URL links to download the whole image tiles, or alternatively to download the image for just the area of interest based on selected spectral bands.
Authors:	Zivan Karaman [aut, cre, cph]
Maintainer:	Zivan Karaman <[email protected]>
License:	GPL-3
Version:	0.3.0
Built:	2025-02-13 02:41:18 UTC
Source:	https://github.com/zivankaraman/spectator

Package providing interface to the 'Spectator Earth' API

Description

The spectator package for R was developed to allow access to 'Spectator Earth' API from R. Spectator Earth offers a Web app providing Earth Observation imagery, mainly from open data satellites like the Sentinel and the Landsat family. These features are also exposed through an API, and the goal of the spectator package is to provide easy access to this functionality from R.

The main functions allow to retrieve the acquisition plans for Sentinel-1, Sentinel-2, Landsat-8 and Landsat-9 satellites and to get the past or (near)future overpasses over an area of interest for these satellites. It is also possible to search the archive for available images over the area of interest for a given (past) period, get the URL links to download the whole image tiles, or alternatively to download the image for just the area of interest based on selected spectral bands.

One can also get a current position and trajectory for a much larger set of satellites.

Other functions might be added in subsequent releases of the package.

Demos: demo(package = "spectator")

API key

Some of the functions (mainly those specific to Sentinel and Landsat satellites) require to pass an API key as a parameter to the function (because the underlying API endpoint requires it). The API key is automatically generated for every registered user at https://app.spectator.earth. You can find it under 'Your profile' (bottom left button) and copy it to clipboard. The functions in the spectator package by default retrieve the API key from the environment variable "spectator_earth_api_key". You can choose any other way of providing it, but keep in mind that for security reasons it is NOT recommended to hard-code (include it as clear text) it in your scripts.

Author(s)

Zivan Karaman [email protected]

Gets a satellite acquisition plan

Description

Retrieves the acquisition plans for the Sentinel 1 & 2 and Landsat 8 & 9 satellites.

Usage

GetAcquisitionPlan(satellites = NULL, date = NULL)
GetAcquisitionPlan(satellites = NULL, date = NULL)

Arguments

`satellites`	character vector, if specified only the listed satellites will be retrieved, if `NULL` (default value) the acquisition plans for all possible satellites will be retrieved. For simplicity, the satellites names can be abbreviated to "S-1A", "S-1B", "S-2A", "S-2B", "L-8", "L-9" or "S1A", "S1B", "S2A", "S2B", "L8", "L9". Default: NULL
`date`	date or character convertible to date by `as.Date`, indicating the day for which the acquisition plans are requested. If `NULL` (default value), today's date is used. If too far in the future, will return empty data set. Default: NULL

Details

For Sentinels the acquisition plans usually have a range of 10-15 days, while for Landsat 8 and 9 it is 2-4 days. The time range that you can view is limited to 24 hours due to a large number of polygons.

Value

Object of class 'sf' with 'POLYGON' geometry type. The attributes of the output will vary, depending on the satellite. For more information check out acquisition plan file descriptions for Sentinel-1, Sentinel-2, Landsat-8, Landsat-9

Data source

Based on the files provided by ESA (Sentinel-1, Sentinel-2) and USGS (Landsat-8, Landsat-9), more information available on the above mentioned web pages.

Source

https://api.spectator.earth/#acquisition-plan

Examples

if(interactive()){
 library(sf)
 # get plans for all eligible satellites for today
 plans <- GetAcquisitionPlan()
 # explore the content of the data frame, 
 # -> you'll see that the available attributes vary with the satellite
 # focus on Sentinel 2
 sat <- c("Sentinel-2A", "Sentinel-2B")
 # day after tomorrow
 day <- Sys.Date()  + 2
 plan <- GetAcquisitionPlan(satellites = sat, date = day)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(plan), border = "red", add = TRUE)
 title(main = sprintf("%s acquisition plan for %s", paste(sat, collapse = "/"), day))
 }
if(interactive()){
 library(sf)
 # get plans for all eligible satellites for today
 plans <- GetAcquisitionPlan()
 # explore the content of the data frame, 
 # -> you'll see that the available attributes vary with the satellite
 # focus on Sentinel 2
 sat <- c("Sentinel-2A", "Sentinel-2B")
 # day after tomorrow
 day <- Sys.Date()  + 2
 plan <- GetAcquisitionPlan(satellites = sat, date = day)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(plan), border = "red", add = TRUE)
 title(main = sprintf("%s acquisition plan for %s", paste(sat, collapse = "/"), day))
 }

Gets all referenced satellites info

Description

Gets the information about all the satellites known in the Spectator Earth database, and possibly their current positions.

Usage

GetAllSatellites(positions = TRUE)
GetAllSatellites(positions = TRUE)

Arguments

positions

logical indicating if the current position should be included. Default: TRUE

Value

If positions is FALSE, a data frame with following attributes:

id: integer identifier
name: character satellite name
norad_id: integer satellite catalog number
open: logical whether the data produced by the satellite is freely accessible
platform: character platform name
sensor_name: character name of the sensor available on the satellite
sensor_swath: integer swath width of the sensor available on the satellite
sensor_type: character type of the sensor available on the satellite (SAR or Optical)

If positions is TRUE, object of class 'sf' with 'POINT' geometry type, with the same attributes as above.

Source

https://api.spectator.earth/#satellites

Examples

if(interactive()){
 library(sf)
 # get all satellites withe their positions
 pos <- GetAllSatellites(positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 # show open data satellites in green
 plot(st_geometry(subset(pos, open == TRUE)), add = TRUE, col = "green", pch = 15)
 # show others in red
 plot(st_geometry(subset(pos, open == FALSE)), add = TRUE, col = "red", pch = 16)
 # add labels
 xy <- st_coordinates(pos)
 # shift labels up to be able to read them
 xy[, 2] <- xy[, 2] + 2 
 text(xy, labels = pos$name, cex = 0.5)
 }
if(interactive()){
 library(sf)
 # get all satellites withe their positions
 pos <- GetAllSatellites(positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 # show open data satellites in green
 plot(st_geometry(subset(pos, open == TRUE)), add = TRUE, col = "green", pch = 15)
 # show others in red
 plot(st_geometry(subset(pos, open == FALSE)), add = TRUE, col = "red", pch = 16)
 # add labels
 xy <- st_coordinates(pos)
 # shift labels up to be able to read them
 xy[, 2] <- xy[, 2] + 2 
 text(xy, labels = pos$name, cex = 0.5)
 }

Get image limited to an area of interest

Description

Provides you with a high resolution image for the area within the acquisition boundaries, if you're not interested in downloading the whole image.

Usage

GetHighResolutionImage(
  aoi,
  id,
  bands,
  width,
  height,
  file = "image.jpg",
  api_key = Sys.getenv("spectator_earth_api_key")
)
GetHighResolutionImage(
  aoi,
  id,
  bands,
  width,
  height,
  file = "image.jpg",
  api_key = Sys.getenv("spectator_earth_api_key")
)

Arguments

`aoi`	'`sf`' (or '`Spatial*`') object defining the area of interest. Can be of any geometry as only the bounding box is used.
`id`	integer, `id` of the image from the `SearchImages` result
`bands`	integer vector of length 1 or 3 indicating the spectral bands to use for creating the image (typically the bands corresponding to Red, Green and Blue)
`width`	integer indicating the width of the image (in pixels)
`height`	integer indicating the height of the image (in pixels)
`file`	character indicating the name of the image file to create. Default: 'image.jpg'
`api_key`	character containing your API key. Default: `Sys.getenv("spectator_earth_api_key")`

Details

As a side effect, the image file is written to the provided path.

Value

The name of the image file is returned invisibly.

Source

https://api.spectator.earth/#high-resolution-image

Examples

if(interactive()){
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 # get the id of the image with minimal cloud coverage
 best_id <- catalog[order(catalog$cloud_cover_percentage), ][1, "id"]
 # get the high resolution image of the Central Park
 img <- GetHighResolutionImage(aoi = boundary, id = best_id, bands = c(4, 3, 2), 
     width = 1024, height = 1024,
     file = tempfile(pattern = "img", fileext = ".jpg"), 
     api_key = my_key)
 }
if(interactive()){
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 # get the id of the image with minimal cloud coverage
 best_id <- catalog[order(catalog$cloud_cover_percentage), ][1, "id"]
 # get the high resolution image of the Central Park
 img <- GetHighResolutionImage(aoi = boundary, id = best_id, bands = c(4, 3, 2), 
     width = 1024, height = 1024,
     file = tempfile(pattern = "img", fileext = ".jpg"), 
     api_key = my_key)
 }

List of downloadable files

Description

List of files that can be downloaded directly (separate files for every spectral band) for the given image.

Usage

GetImageryFilesList(
  id,
  all = FALSE,
  api_key = Sys.getenv("spectator_earth_api_key")
)
GetImageryFilesList(
  id,
  all = FALSE,
  api_key = Sys.getenv("spectator_earth_api_key")
)

Arguments

`id`	integer indicating the image id (from `SearchImages`)
`all`	logical indicating if the auxiliary files should be included. Default: FALSE
`api_key`	character containing your API key. Default: `Sys.getenv("spectator_earth_api_key")`

Details

Besides the raw images (jp2 files) as single bands, various auxiliary files are also available. These include image thumbnails, metadata, etc. By default, only the full-sized images are returned by the function. To download the files, all the paths should be prepended with https://api.spectator.earth/imagery/{id}/files/. The raw image files are quite big, if the area of interest is relatively small it might be better to use GetHighResolutionImage.

Value

A data frame with attributes

name: character, name of the file
path: character, path (relative) to download the file
size: integer, size of the file (in bytes)

Source

https://api.spectator.earth/#imagery-files

Examples

 
if(interactive()){
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 # get the id of the image with minimal cloud coverage
 best_id <- catalog[order(catalog$cloud_cover_percentage), ][1, "id"]
 # list all downloadable files for the image with minimal cloud coverage
 images <- GetImageryFilesList(best_id, all = FALSE, api_key = my_key)
 }
if(interactive()){
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 # get the id of the image with minimal cloud coverage
 best_id <- catalog[order(catalog$cloud_cover_percentage), ][1, "id"]
 # list all downloadable files for the image with minimal cloud coverage
 images <- GetImageryFilesList(best_id, all = FALSE, api_key = my_key)
 }

Gets overpasses for an area of interest

Description

Retrieves the footprint polygons of past and/or (near)future overpasses of specified satellites over an area of interest.

Usage

GetOverpasses(
  aoi,
  satellites = NULL,
  days_before = 0,
  days_after = 7,
  acquisitions = TRUE,
  api_key = Sys.getenv("spectator_earth_api_key")
)
GetOverpasses(
  aoi,
  satellites = NULL,
  days_before = 0,
  days_after = 7,
  acquisitions = TRUE,
  api_key = Sys.getenv("spectator_earth_api_key")
)

Arguments

`aoi`	'`sf`' (or '`Spatial*`') object defining the area of interest. Can be of any geometry as only the bounding box is used.
`satellites`	character vector, if specified only the listed satellites will be retrieved, if `NULL` (default value) the acquisition plans for all possible satellites will be retrieved. For simplicity, the satellites names can be abbreviated to "S-1A", "S-1B", "S-2A", "S-2B", "L-8", "L-9" or "S1A", "S1B", "S2A", "S2B", "L8", "L9". Default: NULL
`days_before`	integer indicating the number of days before the current date for which overpasses should be computed. Default: 0
`days_after`	integer indicating the number of days after the current date for which overpasses should be computed. Default: 7
`acquisitions`	logical indicating if only the overpasses when the data acquisition will take place should be reported. Default: TRUE
`api_key`	character containing your API key. Default: `Sys.getenv("spectator_earth_api_key")`

Details

This function requires an API key that is automatically generated for every registered account at https://app.spectator.earth. You can find it under 'Your profile' (bottom left button). By default, the API key is retrieved from the environment variable spectator_earth_api_key, but you can choose any other way of providing it (it is recommended NOT to include it in your scripts).

Value

Object of class 'sf' with 'POLYGON' geometry type and attributes

id: integer identifier
acquisitions: logical whether the overpass collects the data
date: POSIXct timestamp of the overpass (UTC - to be checked)
satellite: character satellite name

Source

https://api.spectator.earth/#satellite-overpasses

Examples

if(interactive()){
 library(sf)
 # get the Luxembourg country shape as area of interest
 boundary <- read_sf(system.file("extdata", "luxembourg.geojson", package = "spectator"))
 # look for Sentinel-2 A and B, use shorthand notation, default time frame
 pass <- GetOverpasses(boundary, satellites = "S-2", acquisitions = TRUE)
 # do some nice graphs
 library(maps)
 days <- range(as.Date(pass$date))
 satellites <- sort(unique(pass$satellite))
 map(database = "world", region = c("Belgium", "Netherlands", "Germany", "Luxembourg",
     "France", "Switzerland"), col = "lightgrey", fill = TRUE)
 plot(sf::st_geometry(boundary), add = TRUE, col = "red", border = FALSE)
 plot(sf::st_geometry(pass), add = TRUE)
 title(main = sprintf("%s overpasses for period %s", paste(satellites, collapse = "/"), 
                      paste(days, collapse = ":")))
 }
if(interactive()){
 library(sf)
 # get the Luxembourg country shape as area of interest
 boundary <- read_sf(system.file("extdata", "luxembourg.geojson", package = "spectator"))
 # look for Sentinel-2 A and B, use shorthand notation, default time frame
 pass <- GetOverpasses(boundary, satellites = "S-2", acquisitions = TRUE)
 # do some nice graphs
 library(maps)
 days <- range(as.Date(pass$date))
 satellites <- sort(unique(pass$satellite))
 map(database = "world", region = c("Belgium", "Netherlands", "Germany", "Luxembourg",
     "France", "Switzerland"), col = "lightgrey", fill = TRUE)
 plot(sf::st_geometry(boundary), add = TRUE, col = "red", border = FALSE)
 plot(sf::st_geometry(pass), add = TRUE)
 title(main = sprintf("%s overpasses for period %s", paste(satellites, collapse = "/"), 
                      paste(days, collapse = ":")))
 }

Gets info for a satellite

Description

Gets the information about the specified satellite, and possibly its current position.

Usage

GetSatellite(satellite, positions = TRUE)
GetSatellite(satellite, positions = TRUE)

Arguments

`satellite`	character name of the satellite for which to retrieve the trajectory. The satellite name is not case sensitive, and can be abbreviated as long as an unambiguous match can be obtained. Only one satellite can be queried at a time.
`positions`	logical indicating if the current position should be included. Default: TRUE

Value

If positions is FALSE, a single row data frame with following attributes:

id: integer identifier
name: character satellite name
norad_id: integer satellite catalog number
open: logical whether the data produced by the satellite is freely accessible
platform: character platform name
sensor_name: character name of the sensor available on the satellite
sensor_swath: integer swath width of the sensor available on the satellite
sensor_type: character type of the sensor available on the satellite (SAR or Optical)

If positions is TRUE, a single row object of class 'sf' with 'POINT' geometry type, with the same attributes as above.

Source

https://api.spectator.earth/#satellites

Examples

if(interactive()){
 library(sf)
 # get trajectory and current position for a selected satellite
 sat <- "SPOT-7"
 traj <- GetTrajectory(satellite = sat)
 pos <- GetSatellite(satellite = sat, positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(traj), lwd = 2, col = "red", add = TRUE)
 plot(st_geometry(pos), pch = 15, col = "green", cex = 1.5, add = TRUE)
 title(main = sprintf("current %s trajectory & position", sat))
 }
if(interactive()){
 library(sf)
 # get trajectory and current position for a selected satellite
 sat <- "SPOT-7"
 traj <- GetTrajectory(satellite = sat)
 pos <- GetSatellite(satellite = sat, positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(traj), lwd = 2, col = "red", add = TRUE)
 plot(st_geometry(pos), pch = 15, col = "green", cex = 1.5, add = TRUE)
 title(main = sprintf("current %s trajectory & position", sat))
 }

Gets a satellite trajectory

Description

Gets the current trajectory for the specified satellite.

Usage

GetTrajectory(satellite)
GetTrajectory(satellite)

Arguments

satellite

character name of the satellite for which to retrieve the trajectory. The satellite name is not case sensitive, and can be abbreviated as long as an unambiguous match can be obtained. Only one satellite can be queried at a time.

Value

Object of class 'sf' with 'LINESTRING' geometry type

Source

https://api.spectator.earth/#trajectories

Examples

if(interactive()){
 library(sf)
 # get trajectory and current position for a selected satellite
 sat <- "SPOT-7"
 traj <- GetTrajectory(satellite = sat)
 pos <- GetSatellite(satellite = sat, positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(traj), lwd = 2, col = "red", add = TRUE)
 plot(st_geometry(pos), pch = 15, col = "green", cex = 1.5, add = TRUE)
 title(main = sprintf("current %s trajectory & position", sat))
 }
if(interactive()){
 library(sf)
 # get trajectory and current position for a selected satellite
 sat <- "SPOT-7"
 traj <- GetTrajectory(satellite = sat)
 pos <- GetSatellite(satellite = sat, positions = TRUE)
 # do some nice graphs
 library(maps)
 map("world", fill = TRUE, col = "lightgrey")
 plot(st_geometry(traj), lwd = 2, col = "red", add = TRUE)
 plot(st_geometry(pos), pch = 15, col = "green", cex = 1.5, add = TRUE)
 title(main = sprintf("current %s trajectory & position", sat))
 }

Satellites database

Description

List all the satellites available in the Spectator Earth database with main attributes

Usage

satellites_db
satellites_db

Format

A data frame with 60 rows (as of July 2024) and 8 variables:

id: integer identifier
name: character satellite name
norad_id: integer satellite catalog number
open: logical whether the data produced by the satellite is freely accessible
platform: character platform name
sensor_name: character name of the sensor available on the satellite
sensor_swath: integer swath width of the sensor available on the satellite
sensor_type: character type of the sensor available on the satellite (SAR or Optical)

Details

The information in this data frame is a local cache of the list of all the satellites available in the Spectator Earth database. It enables the fast retrieval of some data by satellite name instead of id. This list is refreshed every time the package is loaded. The current up-to-date list of satellites described in Spectator Earth database can be obtained by GetAllSatellites(positions = FALSE)

Source

https://api.spectator.earth/#satellites

Search Spectator database for available images

Description

Returns the list of available images for an area of interest, specified time interval and selected satellites.

Usage

SearchImages(
  aoi,
  satellites = NULL,
  date_from = NULL,
  date_to = NULL,
  footprint = FALSE,
  api_key = Sys.getenv("spectator_earth_api_key")
)
SearchImages(
  aoi,
  satellites = NULL,
  date_from = NULL,
  date_to = NULL,
  footprint = FALSE,
  api_key = Sys.getenv("spectator_earth_api_key")
)

Arguments

`aoi`	'`sf`' (or '`Spatial*`') object defining the area of interest. Can be of any geometry as only the bounding box is used.
`satellites`	character vector, if specified only the listed satellites will be retrieved, if `NULL` (default value) the acquisition plans for all possible satellites will be retrieved. For simplicity, the satellites names can be abbreviated to "S-1A", "S-1B", "S-2A", "S-2B", "L-8", "L-9" or "S1A", "S1B", "S2A", "S2B", "L8", "L9". Default: NULL
`date_from`	date or character convertible to date by `as.Date`, indicating the earliest image date. Default: NULL
`date_to`	date or character convertible to date by `as.Date`, indicating the latest image date. Default: NULL
`footprint`	logical indicating if the polygons describing the image tiles should be returned. Default: FALSE
`api_key`	character containing your API key. Default: `Sys.getenv("spectator_earth_api_key")`

Details

The data frame contains some useful attributes: id which enables to download images using the functions GetImageryFilesList or GetHighResolutionImage, cloud_cover_percentage (for the whole image tile), satellite (name), begin_position_date and end_position_date indicating when the image was taken.

Value

Either a data frame (if 'footprint' is 'FALSE') or an object of class 'sf' with 'POLYGON' geometry type (if 'footprint' is 'TRUE').

Source

https://api.spectator.earth/#searching-for-images

Examples

if(interactive()){ 
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 }
if(interactive()){ 
 library(sf)
 my_key <- Sys.getenv("spectator_earth_api_key")
 # get the New York City Central Park shape as area of interest
 dsn <- system.file("extdata", "centralpark.geojson", package = "spectator")
 boundary <- sf::read_sf(dsn, as_tibble = FALSE)
 # search for May 2021 Sentinel 2 images 
 catalog <- SearchImages(aoi = boundary, satellites = "S2", 
     date_from = "2021-05-01", date_to = "2021-05-30", 
     footprint = FALSE, api_key = my_key)
 }

Package 'spectator'

Help Index

Package providing interface to the 'Spectator Earth' API

Description

API key

Author(s)

Gets a satellite acquisition plan

Description

Usage

Arguments

Details

Value

Data source

Source

Examples

Gets all referenced satellites info

Description

Usage

Arguments

Value

Source

See Also

Examples

Get image limited to an area of interest

Description

Usage

Arguments

Details

Value

Source

See Also

Examples

List of downloadable files

Description

Usage

Arguments

Details

Value

Source

See Also

Examples

Gets overpasses for an area of interest

Description

Usage

Arguments

Details

Value

Source

Examples

Gets info for a satellite

Description

Usage

Arguments

Value

Source

See Also

Examples

Gets a satellite trajectory

Description

Usage

Arguments

Value

Source

Examples

Satellites database

Description

Usage

Format

Details

Source

See Also

Search Spectator database for available images

Description

Usage

Arguments

Details

Value

Source

Examples