2019 nasa 黑客松

地球由陸地、水、空氣、生物和行星本身複雜的系統組成。瞭解這些系統如何協同工作很重要。這一類的挑戰將要求你使用NASA的數據來制定解決方案，來捕捉生活在地球上的感覺，如一個故事、一個遊戲、一段影片，或你設計的任何產品。:::warning

這一組的挑戰，是打造一款新的電玩。這款電玩使用NASA Earth 地球科學網站的資料，以創新方式讓玩家與NASA Earth 的資料互動並樂在其中。電玩內容可以是告知、教育、激勵玩家多多了解NASA Earth，也可以只是單純為他們提供一次好玩的體驗。還等什麼，地球就是你的舞台！

NASA 的各項開放數據資源包含著豐富的圖像。請這一組在數位地球儀上標明這些意象，讓數據互動化，可以幫助人們發現諸多生態系現象之間的關係。這一組的挑戰，是開發一款數位地球web-app，運用 NASA 的Web WorldWind，將地球科學數據視覺化。(a) a video presentation that demonstrates a web-app and explains which data sets were used, or(b) a deployed digital globe data visualization web-app.

這一組的挑戰，是整合 NASA 數據、地面空氣品質數據，以及公民科學數據，打造能展現某地某時最準確數據的空氣品質介面。請寫出一套運算法，使它具備從同一時地多個來源中挑選或評估最佳數據的能力，並且請您們展示這項數據。

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從海灘和鹽沼到開闊的海洋、海冰和海底，地球的海洋是動態的。這個挑戰類別將要求你使用NASA的數據來更好地監測和瞭解地球的海洋。:::info

世界各地的海平面正在上升，全球卻有大約四成的人口居住在海岸區。這一組的挑戰，是幫忙讓更多人知道，海平面上升所帶來的諸多衝擊，方法是請您們新創一項視覺化工具，利用這項工具將海平面上升對您們所在地區造成的改變呈現出來。

在設計可視化工具時，請確保包括更改相關變量並查看將來對海平面的影響的方法。這些變量可能包括人口或行為的變化，土地使用的變化和/或總體全球溫度，僅舉幾例。確保可視化中存在諸如此類的功能，以使其盡可能保持交互性和用戶友好性，同時仍然有效地呈現有關氣候變化影響的教育信息。注重地方和區域規模；進一步的海平面變化將如何影響您的地區？

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nasa溫度nasa sealevel candidateGHSL 人口密度

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1. 換皮，標記受影響人口最多地區Flood map 內有 raw data，看要不要加入調整海平面高低的換皮功能

2. 拍影片，加字幕，配旁白NASA mp4

3. 解釋生態系，例如：溫度提高=>北極冰融化=>海平面上升加分項：找其他 datasets / WMS & WMTS

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1. Mapbox 製作遊戲地圖
2. 淹台北，考慮遷都
3. 弄個空拍 (小遊戲?)加分項：比對實價登錄，看看淹掉多少錢:::

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1. Mapbox + Flood map
2. 零基礎教學
3. 3D人口可視化

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(a) a video presentation & datasets1. NASA mp42. NASA Tool3. Sea Level Datasets4. 解釋生態系與 datasets 的關係

(b) a deployed digital globe data visualization web-app.1. web-app hosting2. code repositories3. how to deploy a javascript web-app4. what is a web service5 .geospatial web services：WMS / WMTS loading

1. examples
2. APK

1. Unity: Real World Terrain

   A tool to select area directly on Google Maps.

   Elevation Heightmaps:- ArcGIS resolution of max 10 meter per pixel;- Bing Maps resolution of max 10 meter per pixel;- Mapbox;- SRTM v4.1 resolution of 90 meters per pixel;- SRTM30 resolution of 30 meters per pixel.• Texture providers: ArcGIS, DigitalGlobe, Map Quest, Mapbox, Mapy.CZ, Nokia Maps (here.com), Virtual Earth (Bing Maps), Open Street Map + ability to download tiles from custom url.• Satellite images resolution of max 0.25 meter per pixel.

2. Unity: Mapbox

3. Heighmap

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Sea levels are rising around the world, and approximately 40% of the human population lives in coastal zones. Your challenge is to help communicate the impacts of rising oceans by creating a visualization tool that illustrates the changes caused by rising sea levels in your region.

Rising Water: Using a website to demonstrate the impact on the rising sea level. Also, we use Unity to show the 3D scene in Taipei City.

1. Our website contains the human population and the affected areas around the world. Users can brouse the whole world through the 2D map and tell the difference by changing the years.
2. The website will direct to the Unity scene of Taipei 101, once users click the "simulated" button on "100." Users will see the 3D sea level of "virtual" Taipei City through Unigan's eyes.
3. We hope we can add the sea surface temperature on our 2D map and show the correlation between sea level and compare the sea level and the affected population.

1. Using MapBox as the main tool to demonstrate the website (based on Javascript/Html/CSS)
2. Taking NASA's sea level datasets and ocean surface level datasets as the original data
3. Using Google Earth Engine (based on JavaScript) to capture the Human Population data, converting them into .GeoJson format, and adding to our MapBox projecte.g.,

// imports ImageCollection GHSL... var img1 = ee.Image('JRC/GHSL/P2016/POP_GPW_GLOBE_V1/1990');Export.image.toDrive({ image: img1, description: 'img1990_1', scale: 1000, // scale is m/pixel maxPixels: 1e13 fileFormat: 'GeoTIFF', formatOptions: { cloudOptimized: true }});

3. Unity (based on C#): Importing the street view of Taipei 101, adding the sea level, synchronizing the map, and then exploring with "U-Ni Jan" (Pronounced "Woo-Ni Jan"), the charactor we created
4. Tools to convert data: python3.7, tippecanoe from MapBox

• Population data: GHSL: Global Human Settlement Layers, Population Grid 1975-1990-2000-2015 (P2016)
• sea level: Research Opportunities in Space and Earth Science (ROSES), Reconstructed Sea Level Version 1 (10.5067/RECSL-000V1)
• temperature: NOAA Climate Data Record (CDR) of Sea Surface Temperature - WHOI, Version 2
• Unity data: Mapbox includes streets, buildings, administrative areas, water, and land data based on OpenStreetMap

1. latitude and longitude out of synchronation: while combining with layers
2. repeating some layers while adding specific ones
3. Cross-Origin Resource Sharing (CORS): requests from multiple sources were blocked.
4. Some map-interacting events unpredictable. This situation might cause rendering.
5. BROKEN Wi-Fi
6. The dinner WAS HORRIBLE!

1. Expanding our Unity work from Taipei 101 to the whole world.
2. Mining more human population data so that we can combine more sea level data.