A dead-simple CLI tool to generate satellite images of a location.

栏目: IT技术 · 发布时间: 5年前

内容简介:Satellite imagery for dummies.TL;DR: Generate JPEG earth imagery from a location's name/coordinatesThis tool is for a sentient being who wants to view high-res satellite imagery of earth, without digging through all the nitty gritty geospatial details of i

felicette

Satellite imagery for dummies.

Who should use this tool?

TL;DR: Generate JPEG earth imagery from a location's name/coordinates

This tool is for a sentient being who wants to view high-res satellite imagery of earth, without digging through all the nitty gritty geospatial details of it. So if this is your first time trying to explore how parts of the Earth looks from space, you're at the right place.

NB: felicette at the present state searches for cloud-cover < 10%, and doesn't constrain results on the basis of dates.

One can see Product Roadmap for upcoming features.

Installation

felicette depends on GDAL. But the following steps cover GDAL's installation as well.

rio-color uses numpy headers to setup, thus installing numpy and GDAL=={ogrinfo --version} would be sufficient before installing felicette.

Debian

$ sudo add-apt-repository ppa:ubuntugis/ppa
$ sudo apt-get update
$ sudo apt-get install python-numpy gdal-bin libgdal-dev
$ gdal-config --version
 <version-number>
 
* activate virtual environment *

$ pip install numpy GDAL==<version-number>
$ pip install felicette

MacOS

$ brew install gdal
$ gdal-config --version
 <version-number>

* activate virtual environment *

$ pip install numpy GDAL==<version-number>
$ pip install felicette

"Why you no make a section for Windows?" :|

rio-color , one of the felicette's dependencies isn't available on conda ecosystem yet. Here's the link to a small discussion on an installation-issue. This section would be updated when there is a stable version of felicette for Windows.

Felicette has plans to build in-house RGB image enhancement algorithms or use imagemagick /[similar tools on conda-forge] for a Windows release, at least until rio-color is available on conda-forge/conda.

Usage

To use it:

$ felicette --help
Usage: felicette [OPTIONS]

  Satellite imagery for dummies.

Options:
  -c, --coordinates FLOAT...  Coordinates in (lon, lat) format. This overrides
                              -l command

  -l, --location-name TEXT    Location name in string format
  -p, --pan-enhancement       Enhance image with panchromatic band
  -pre, --preview-image       Preview pre-processed low resolution RGB
                              satellite image.

  -v, --vegetation            Show Color Infrared image to highlight
                              vegetation

  --help                      Show this message and exit.

Felicette can download and process Landsat images taking the location's input as (lon, lat) or the location name. They can be used in the following way.

With location name:

$ felicette -l "Kanyakumari"

With coordinates:

$ felicette -c 77.5385 8.0883

-p option uses the panchromatic band to enhance image's resolution to 15 meters, contrary to resolution of RGB bands(30 meters). To get a better image using felicette use:

$ felicette -p -c 77.5385 8.0883

-pre option downloads a low-res image for preview, to check if the image is worth your computation, Network I/O. :)

$ felicette -pre -p -c 77.5385 8.0883

-v option generates a CIR image to highlight vegetation in 'red' color. Note that, '-p' option isn't taken into consideration while generating CIR imagery in felicette.

$ felicette -pre -v -l "Kanyakumari"

Feli.. what?

A dead-simple CLI tool to generate satellite images of a location.

Félicette was the first cat launched into space, on 18 October 1963. Even though she landed back on earth safely, Félicette was euthanized two months after the launch so that scientists could perform a necropsy to examine her brain. She was the only cat to have survived spaceflight. Here's a footage of the mission from the archives.

When you get a satellite imagery using this tool, imagine Félicette took the picture for you :))

Preview and examples

Here is a link to the images generated with RGB, CIR options.

Following is a recording of the terminal session recording usage of felicette . A dead-simple CLI tool to generate satellite images of a location.


以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

深入理解SPARK

深入理解SPARK

耿嘉安 / 机械工业出版社 / 2016-1-1 / 99

《深入理解SPARK:核心思想与源码分析》结合大量图和示例,对Spark的架构、部署模式和工作模块的设计理念、实现源码与使用技巧进行了深入的剖析与解读。 《深入理解SPARK:核心思想与源码分析》一书对Spark1.2.0版本的源代码进行了全面而深入的分析,旨在为Spark的优化、定制和扩展提供原理性的指导。阿里巴巴集团专家鼎力推荐、阿里巴巴资深Java开发和大数据专家撰写。 本书分为......一起来看看 《深入理解SPARK》 这本书的介绍吧!

SHA 加密
SHA 加密

SHA 加密工具

XML 在线格式化
XML 在线格式化

在线 XML 格式化压缩工具

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换