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Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

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Resources

Stars

15 stars

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9 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Repository files navigation

Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

About

Unsupervised surface clustering on ICESat-2's ATL03

Topics

Resources

Stars

15 stars

Watchers

9 watching

Forks

Releases

Packages

Contributors

Languages