Satellites for everyone

[Music]

as most of us know

our planet is going through a lot of

changes

climate change biodiversity declines

polluted oceans intensive land use and

so on

but earth is a big place

and there is one tool at our disposal

that provides us with the big picture

about the health of our planet

and that tool is earth observing

satellites

and we’re in a revolution of sorts when

it comes to earth observation that’s

been a long time in the making

in 1957 when the soviet union launched

sputnik 1

the first artificial satellite it opened

up

the era of earth observation

and as you would expect from the height

of the cold war

a lot of these satellites had secret

military objectives

and their data were classified and not

available to the public

in 1972 nasa launched landsat 1

which was the first civilian satellite

to provide

global coverage of the earth’s land

surface

since then satellites have really

transformed

how we see and what we know about our

planet

in particular satellites have

really shown us how our planet is

changing

i think we’re living in a golden age

when it comes to earth observation and i

say this for four main reasons

the first reason is that over the past

10 years

more satellites more civilian satellites

have been launched into orbit

than any decade prior and it’s getting

increasingly more cost effective

to build launch and deploy satellites

for example cubesats like the one you

see that’s being built in this image

are bigger are about as big as a loaf of

bread

and are made of commercial grade

uh electronic components that are

relatively inexpensive

the second reason is free and open

access to satellite data

in 2008 nasa

opened up its landsat archive going back

to 1972 that launch you saw earlier

and every landsat data

since then will be free to the public

similarly the european commission’s

copernicus program

which has several pro several satellites

in orbit at the moment and several more

are planned in the future

is also based on a open data policy

other countries that have national space

programs like japan

for example also provide some of their

satellite data available to the public

what all this means is increased

accessibility

to satellite data and data products for

the public

the third reason is the growth

of parallel computing and increasing

processing power

think about it it was only 15 years ago

that intel launched the pentium d which

was its first

consumer grade dual core processor today

you can get a processor with roughly

eight times the number of cores for

about the same price as in 2005.

on top of that we have tech behemoths

like google

and amazon and microsoft that provide

a cloud computing infrastructure where

you can get near unlimited uh

space for uh for satellite data as well

as insane computing power

for relatively low price

the fourth and final reason i think

we’re in a golden age

is the increasing popularity of machine

learning

and shared knowledge repositories the

thing about machine learning

is that it is capable of extracting

information

and patterns from satellite data with

increasing levels of accuracy and access

to machine learning has never been

easier than it is today uh there are

tons of online tutorials

and shared knowledge repositories like

github

where people post post their code for

others to use and build upon

and there are also uh structured online

programs

like udemy or coursera for anyone who

wants to delve deeper into machine

learning

all of this has been great for science

we’ve been able to

map and quantify and measure aspects of

our planet that we never thought were

possible

20-30 years ago for example in the last

couple of years

we’ve been able to map

whales in the world’s oceans trees in

the deserts

individual elephants in complex savannah

landscapes

and even albatrosses which are large sea

birds on remote islands in the antarctic

in a way satellites have become sort of

a macroscope

on our planet engaging itself

but you’re probably wondering what does

this mean what does all this mean what

does it mean for you to be in this

golden age of earth observation

it means a real democratization of

data and science it means that anybody

with a computer and an internet

connection can

download satellite data process it using

open source tools

and extract information for their own

use

it’s that simple and is right at our

fingertips

to give you an example of what this

combination can do

these 13 lines of code that you see here

produce an index that can tell you how

green

any given location on earth is

this is from google’s online platform

called earth engine

where with just a google account users

can manipulate

large amounts of satellite data at

global scales

you don’t even have to write a single

line of code

because lots of examples like this are

already provided and the data is there

as well

this one uses data from the landsat 8

satellite

so you’re probably wondering like what

did this index of greenness

look like right it looks like this

where the green areas show you healthy

vegetated areas

the brown and the yellow are either

stressed or no vegetation

and because it’s an image from a single

season the white areas are

are places that are covered by clouds

and in a lot of ways a few lines of code

is really all you need

to extract information like this from

satellite data

and you can do it globally and has real

practical applications for landscape

planning or for conservation

you can even use it to assess the

quality of life

in cities as research has shown that

greener neighborhoods have higher

quality of life

other examples include merging different

kinds of satellite data

to map different aspects of the land

surface for example here

where users can merge optical satellite

data

with data on the elevation of the land

surface

combine it in a ready-made ready-to-go

algorithm called principal component

analysis to extract

geologic maps for uh exploration of

minerals for example

you can also go back in time because we

do have that archive going back 50 years

and see the development of road networks

you can go online download data from the

80s the 90s the 2000s

and see how the urbanization took place

in a city

for example like dubai over here

or maybe you live in a rural setting and

you’re interested to find out the

distribution of crops

in your area so you go

to the fields you take a few samples of

the crop types

sunflowers here beets there cereals

there you combine that information with

satellite data

in the machine learning framework and

you map the crop distribution

where you live

let’s be honest we don’t know our planet

as much as we think we do and because of

this

the possibilities of what can be done

with satellite data

are truly exciting with all this

data and tools readily available we’re

really accelerating the rate at which

scientific discoveries are made

so the two things i want you to

get from this presentation the two

takeaways are that satellite data are

available

and they’re accessible to you thank you

very much

[音乐]

正如我们大多数人所知,

我们的星球正在经历许多

变化,

气候变化生物多样性下降,

污染海洋,土地密集使用

等等,

但地球是一个很大的地方

,我们可以使用一种工具

来为我们提供全局

关于我们星球的健康

,这个工具是地球观测

卫星

,当

谈到地球观测时,我们

正在经历一场革命,这

在 1957 年苏联发射

了第一颗人造卫星 sputnik 1 开启

了地球观测时代

,正如您在冷战高峰期所期望的那样

,这些卫星中的许多都有秘密的

军事目标

,它们的数据是机密的,

不向公众

提供 1972 年美国国家航空航天局发射

了第一颗民用卫星 landsat 1

卫星提供

地球陆地表面的全球覆盖,

从那时起,卫星真正

改变

了我们看待

地球的方式以及我们对地球

的了解 ar 卫星

确实向我们展示了我们的星球是如何

变化的

我认为我们正生活

在地球观测的黄金时代,我

之所以这么说有四个主要原因,第一个原因是在过去的

10 年中,

卫星越来越多,民用卫星越来越多

比以往任何十年都发射到轨道上,并且

建造发射和部署卫星的成本效益越来越高

,例如像你

在这张图片中看到的那样正在建造的立方体卫星

更大,大约和一条面包一样大,

并且是 相对便宜的商业级

uh 电子元件

的第二个原因是免费和开放

获取

2008 年的卫星数据美国宇航局

开放了其

1972 年的 landsat 档案,你之前看到的发射

,从那时起每个 landsat 数据

都将免费向公众开放

同样,欧盟委员会的

哥白尼计划

目前有几颗专业卫星

在轨,

还有几颗正在计划中 d

未来也基于开放数据政策

其他拥有国家空间

计划的国家(例如日本)

向公众提供一些卫星数据,

这意味着增加

公众

对卫星数据和数据产品的可

及性

第三个原因

是并行计算的增长和

处理能力的提高

想想看,就在 15 年前

,英特尔推出了 pentium d,这

是它

今天的第一款消费级双核处理器,

你可以获得大约

8 倍数量的处理器 核心

的价格与 2005 年大致相同。

除此之外,我们还有

像谷歌

、亚马逊和微软这样的科技巨头,它们

提供云计算基础设施,在那里

你可以获得几乎无限的

空间来存储卫星数据

以及疯狂的计算

能力 相对较低的价格

我认为我们处于黄金时代的第四个也是最后一个原因

是机器学习的日益普及

和共享知识库

机器学习的特点

是它能够

以更高的准确性从卫星数据中提取信息和模式,

并且

访问机器学习从未像现在这样

容易,嗯,有

大量的在线教程

和共享知识 像 github

这样的存储库,人们在其中发布他们的代码供

其他人使用和构建

,还有

像 udemy 或 coursera 这样的结构化在线程序,供任何

想要深入研究机器

学习的

人使用 能够

绘制、量化和测量

我们星球的各个方面,这是

20 到 30 年前我们从未想过的,例如在过去

几年中,

我们已经能够绘制

出世界海洋中的鲸鱼、沙漠中的树木

、复杂环境中的个体大象 大草原

景观

,甚至信天翁,它们是

南极偏远岛屿上的大型海鸟,

在某种程度上卫星已经 e 成为我们星球上的一个宏观观察器,

但你可能想知道

这意味着什么这一切意味着什么

对你来说意味着什么

处于地球观测的黄金时代

这意味着

数据和科学的真正民主化 这意味着任何

拥有计算机和互联网

连接的人都可以

下载卫星数据,使用开源工具对其进行处理,

并提取信息供自己

使用。

就这么简单,

触手可及

,为您提供一个示例,说明这种

组合可以做什么

13 你在这里看到的代码行

生成一个索引,可以告诉你

地球上任何给定位置的绿色程度

这是来自谷歌的

称为地球引擎

的在线平台,只需一个谷歌帐户,用户

就可以

在全球范围内操纵大量卫星数据

你没有 ‘甚至不必编写

一行代码,

因为已经提供了很多这样的示例

,并且数据

也在那里,

这个使用数据 f 来自 landsat 8

卫星,

所以你可能想

知道这个绿色指数

看起来像这样

,绿色区域显示健康的

植被

区域,棕色和黄色要么有

压力,要么没有植被

,因为它是图像 从一个

季节开始,白色区域是

被云层覆盖的地方

,在很多方面,几行

代码实际上

就是从卫星数据中提取此类信息所需的全部内容

,您可以在全球范围内进行操作,并具有真正的

实际应用 对于景观

规划或保护,

您甚至可以使用它来评估城市

的生活质量,

因为研究表明,

绿色社区具有更高

的生活质量

其他示例包括合并不同

类型的卫星数据

以绘制地表的不同方面,

例如 在

这里,用户可以将光学卫星

数据

与地表高程数据

合并 o

称为主成分

分析的算法,用于提取

地质图以进行矿产勘探,

例如,

您还可以回到过去,因为我们

确实拥有 50 年前的档案,

并查看道路网络的发展,

您可以在线下载

80 年代的数据 90 年代 2000 年代

,看看城市化是如何发生

在一个城市

的,例如迪拜,

或者你住在农村,

你有兴趣了解

你所在地区的农作物分布,所以你

去你的田地 采集一些

作物类型样本

向日葵 那里 甜菜 那里 谷物

那里 你将这些信息与

机器学习框架中的卫星数据结合起来

绘制你居住的作物分布

说实话,我们并不

像我们想象的那样了解我们的星球 我们这样做了,正因为

如此,卫星数据可以做的事情的可能性

是真正令人兴奋的,所有这些

数据和工具都随时可用,我们

真的在加速 g 科学发现的速度,

所以我希望

你从这个演示文稿中得到两件事,两个

要点是卫星数据可用

并且你可以访问它们非常感谢你