Yahapath

https://docs.google.com/presentation/d/11jPw5POvY4H8x5bySLYBd-cOWTdN3s9A/edit?usp=sharing&ouid=109578168094778477196&rtpof=true&sd=true

https://drive.google.com/file/d/1PtkPHD93DPBn3gVBe89LYynVBS_eD5tr/view?usp=sharing

1.    What exactly does it do?

It uses earth observation data and other relevant data from reliable sources and uses that data to construct a single map that predict species distribution around the globe.

2.    How does it work?

We take multiple (with same dimension and scale) maps of the world with different data attributes marked on it. Usually these maps come with different colors. (Shades of the color spectrum)

then we convert these colored maps into black and white maps. We can do this as below,

• This isn’t regular turning colored image into black and white using Photoshop or any other software. Because if we turn the map into black and white using normal methods all the dark shades of each and every color will comes as black. And all the light shades of every color will come as white.
• Because of this we cannot compute data maps or identify specific locations on a map using normal black and white methods.

• So to overcome this error we can divide the color spectrum of the respective map into small pieces and assign each piece a value (color value) from the black and white shades.

(For the demonstration purpose we only divide the color spectrum into large pieces, but in reality it will be divided into a large number pieces. about 26 pieces)

before we turn a colored map into black and white there is another critical issue we need to consider. Usually most of the data map NASA or any other parties provide have black or white empty area.

We are using black and white scale to represent data. And if we don’t remove these black and white non data areas, those areas will also get considered as data. So to overcome this error we need to remove non data areas from the data maps.

Example:-

• use our convert to black and white method to convert these maps into black and white data maps.

sing above method we can add any amount of maps to our database.

Now imagine (hypothetical) a situation where a scientist wants do a research on moths. He knows everything about moths but the problem is he/she doesn’t know exact moth habitable area. But he/she knows the main 3 key components that every moth need.

These are,

1. temperature 300K              
2. Vegetation index 0.18. (These are Hypothetical values and criteria)

3.Evaporation over land 4kg/m2/s

Now the user can select these things in out tool

we can easily select/ marginalize areas that fulfill these data on individual maps. But our task is to find a common area that fulfills all the above needs.

You may think thank we can just get individual maps with about areas marked and combine all, but it doesn’t work that way. Refer below example

 We can use below method to overcome this problem

(In this example we are considering 3 maps according to above example)

Now what we do is decrease the saturation of each and every user selected maps by using below formula,

Map Saturation = default map Saturation * (1/number of total maps selected)

in this case Map Saturation = default map Saturation *(1/3)

So now, we combine all the selected maps together to make a single black and white map.

now we decrease the Saturation of the each individual marker using the same principle.

Marker Saturation = default marker Saturation * (1/number of total maps selected)

In this case , Marker Saturation = default marker Saturation *(1/3)

Now we can combine all the markers together and make a one single color (one single marker that represents all the markers) which varies between black and white.

 Now we combine desaturated maps then mark all the areas that fulfill common marker’s need.

3. What benefits does it have? What do you hope to achieve?

Insect are the only species that does biggest contribution the human food chain .but unfortunately people don’t know about this. Without proper knowledge humans destroy insect habitable areas unknowingly. Insects are the main species that control the balance of the nature. Without insects none of the insects can survive. So our hope is to provide highly accurate real-time data to necessary people so they can identify habitable areas and protect them. Or study them and inform humans to lower their activity in that particular area.

Mostly we used computed satellite data maps provided by NASA. To be specific we used “NASA Worldview is an easy way to visualize GIBS data in your browser” for the most part. The data sources were directly used to analyze the project requirements. All the collected from NASA and other open sources applied relevantly to the each segment that has to discuss in the project. The clear descriptions and the details infused in the articles has been the main reason to uplift the quality of the project according to the accepted level and standard of EO Dashboard Hackathon 2021 and Team, yahapath.

1.    How would you describe your Space Apps experience?

We are sophisticated motivated individuals with completely different educational background. When we 1st initiate our project in NASA space apps we didn’t knew what to do and between 3 of us we didn’t had anything common. But we shared our knowledge and learned so many things beyond our comfort zone.

At 1st it was kind of overwhelming to do this project because didn’t knew anything about bugs or how to process data maps. After some research we discovered that we are currently facing a natural crisis and how these tiny create play the biggest part in it. Hats off this is one of the best experience in our life

2.    What did you learn? What inspired your team to choose this challenge?

Earth is a place with wide range of diverse. Each living and non-living creature is a part of that. Each and every type of species are specialized for their own duty cycle. Food is the main source of energy for the almost all the types of creatures and they have their own type of foods. The main source of food for almost all the animals including human are based on trees. Trees provides those foods, but there are some parts of animals who helps to continue the process of making foods in trees since they play a vital role in photosynthesis. Bugs are the main type of species who are doing that job, which means many of animals are living because of these bugs. Apart from that, they help us in many different ways such as cleaning the environment by eating the fungi and bacteria, maintaining the quality of the soil and many more.

Those above-mentioned key points are just 3 or 4 from millions of tasks they do. But surprisingly, there are around same number of bugs which did not discovered by the scientists yet. Then why don’t we search for those missed bugs? We may lose the cure to heal the world from the Covid-19 pandemic due to not identifying the bug who can destroy that virus. Who knows? 

Apart from that, as We previously mentioned, there are thousands of advantages from the bugs not only to the human, but also for the world. Then with all the technology is with us, why don’t we take care of them even they do their part of the job regardless of whatever condition?

Usually, bugs are small in size by comparing with other animals in the world, which means they could be destroyed easily due to numerous natural and manmade disasters. Apart from that, they are very sensitive type of creature. A small change in their surrounding may lead them to extinct from the world. That’s how sensitive they are. As a result of it, it is up to us to take care of them with all the technology we have.

So, we are introducing a method to  develop innovative ways to advance our ability to detect insect life, track and predict change over time, and communicate that information to scientists and society to combat the loss of insect biodiversity. The solution which we are introducing is discussed above.

3.    What was your approach to developing this project?

First of all, we have identified the problem of not having a particular model/process or a method to track the life style of the bugs, to specify the places where different species of bugs are used to live, map the threats the bugs may face due to natural and artificial disasters in future and to find the new or extinct bugs.

Then we have analyzed what are the measurements that we can developed in order to come over the above-mentioned problems. We have also worked on the resources we have and utilized those resources to give a well organized and useful output which helps the relevant authorities to detect insect life, track and predict change over time, and communicate that information to scientists and society to combat the loss of insect biodiversity

4.    How did your team resolve setbacks and challenges?

One of the key problems we faced during the development process is the lack of resources on relevant biological data. It was little bit tricky for us to organize the available data in order to provide a useful output because of that.

Apart from that, we have faced some minor problems in developing the maps. 

https://worldview.earthdata.nasa.gov/

https://daac.ornl.gov/

https://honeybeenet.gsfc.nasa.gov/

• PowerPoint
• Adobe Photoshop

#maps #bugs #data_processing #colors #software #concept

This project has been submitted for consideration during the Judging process.