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    mad0bako/README.md

    Hi, I'm Bauyrzhan 👋

    Geospatial Python developer with a hydrology background.

    I turn raw geospatial data into clean, reproducible results — satellite imagery, climate grids, GIS layers, and messy tabular archives. I work end to end: from raw data to a correct, documented output file.

    🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land 🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters 🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD 🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting 📄 Data extraction — OCR pipelines for scanned documents and PDFs

    Featured projects

    LISFLOOD basin setup pipeline End-to-end pipeline that turns a watershed polygon + DEM + soil data into a complete, runnable LISFLOOD hydrological model, with multi-objective calibration (Optuna). Config-driven, self-validating, no hard-coded paths. python · lisflood · gdal · hydrology · geospatial

    ConvLSTM rainfall–runoff Deep-learning pipeline predicting river discharge from gridded daily meteorology (ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM, permutation importance). python · tensorflow · machine-learning · remote-sensing

    Freshet Detector Detects snowmelt-flood timing, duration and volume from daily discharge series. CLI + desktop GUI, baseflow separation, configurable detection modes. python · hydrology · time-series

    Tech

    Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas · TensorFlow · QGIS · NetCDF · Optuna

    Popular repositories Loading

    1. Freshet-Detector Freshet-DetectorPublic

      Snowmelt Flood Analysis for Lowland Rivers

      Python

    2. ConvLSTM-rainfall-runoff ConvLSTM-rainfall-runoffPublic

      A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

      Python

    3. LISFLOOD-basin-setup-pipeline LISFLOOD-basin-setup-pipelinePublic

      An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

      Python

    4. mad0bako mad0bakoPublic

    5. ballistics-core ballistics-corePublic

      Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

      Python

    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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      mad0bako/README.md
      Hi, I'm Bauyrzhan 👋
      Geospatial Python developer with a hydrology background.
      I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
      🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
      Featured projects
      LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
      ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
      Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
      Tech
      Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
      
Popular repositories
Loading
      1. 
Freshet-Detector
Freshet-DetectorPublic
        
Snowmelt Flood Analysis for Lowland Rivers

        Python
      2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
        
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

        Python
      3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
        
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

        Python
      4. 
mad0bako
mad0bakoPublic
      5. 
ballistics-core
ballistics-corePublic
        
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

        Python
      
, 'i');
if (__m === '*' || __re.test(location.href)) {
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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        mad0bako/README.md
        Hi, I'm Bauyrzhan 👋
        Geospatial Python developer with a hydrology background.
        I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
        🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
        Featured projects
        LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
        ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
        Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
        Tech
        Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
        
Popular repositories
Loading
        1. 
Freshet-Detector
Freshet-DetectorPublic
          
Snowmelt Flood Analysis for Lowland Rivers

          Python
        2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
          
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

          Python
        3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
          
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

          Python
        4. 
mad0bako
mad0bakoPublic
        5. 
ballistics-core
ballistics-corePublic
          
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

          Python
        
, '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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

        Skip to content
        View mad0bako's full-sized avatar
          
Block or report mad0bako

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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

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Learn more about reporting abuse.

          Report abuse
          mad0bako/README.md
          Hi, I'm Bauyrzhan 👋
          Geospatial Python developer with a hydrology background.
          I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
          🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
          Featured projects
          LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
          ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
          Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
          Tech
          Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
          
Popular repositories
Loading
          1. 
Freshet-Detector
Freshet-DetectorPublic
            
Snowmelt Flood Analysis for Lowland Rivers

            Python
          2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
            
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

            Python
          3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
            
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

            Python
          4. 
mad0bako
mad0bakoPublic
          5. 
ballistics-core
ballistics-corePublic
            
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

            Python
          
, '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");
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

          Skip to content
          View mad0bako's full-sized avatar
            
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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

            Report abuse
            
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            Report abuse
            mad0bako/README.md
            Hi, I'm Bauyrzhan 👋
            Geospatial Python developer with a hydrology background.
            I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
            🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
            Featured projects
            LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
            ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
            Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
            Tech
            Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
            
Popular repositories
Loading
            1. 
Freshet-Detector
Freshet-DetectorPublic
              
Snowmelt Flood Analysis for Lowland Rivers

              Python
            2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
              
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

              Python
            3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
              
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

              Python
            4. 
mad0bako
mad0bakoPublic
            5. 
ballistics-core
ballistics-corePublic
              
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

              Python
            
, '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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

            Skip to content
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Block or report mad0bako

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Content in all repositories owned by your account will be closed.

              
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

              Report abuse
              
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Learn more about reporting abuse.

              Report abuse
              mad0bako/README.md
              Hi, I'm Bauyrzhan 👋
              Geospatial Python developer with a hydrology background.
              I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
              🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
              Featured projects
              LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
              ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
              Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
              Tech
              Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
              
Popular repositories
Loading
              1. 
Freshet-Detector
Freshet-DetectorPublic
                
Snowmelt Flood Analysis for Lowland Rivers

                Python
              2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
                
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

                Python
              3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
                
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

                Python
              4. 
mad0bako
mad0bakoPublic
              5. 
ballistics-core
ballistics-corePublic
                
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

                Python
              
, '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");
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                mad0bako/README.md
                Hi, I'm Bauyrzhan 👋
                Geospatial Python developer with a hydrology background.
                I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
                🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
                Featured projects
                LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
                ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
                Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
                Tech
                Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
                
Popular repositories
Loading
                1. 
Freshet-Detector
Freshet-DetectorPublic
                  
Snowmelt Flood Analysis for Lowland Rivers

                  Python
                2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
                  
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

                  Python
                3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
                  
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

                  Python
                4. 
mad0bako
mad0bakoPublic
                5. 
ballistics-core
ballistics-corePublic
                  
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

                  Python
                
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                  mad0bako/README.md
                  Hi, I'm Bauyrzhan 👋
                  Geospatial Python developer with a hydrology background.
                  I turn raw geospatial data into clean, reproducible results — satellite imagery,
climate grids, GIS layers, and messy tabular archives. I work end to end: from
raw data to a correct, documented output file.
                  🛰️ Satellite & climate data — Sentinel-1/2, Landsat, ERA5-Land
🗺️ GIS automation — GDAL, rasterio, geopandas, QGIS, shapefiles & rasters
🌊 Hydrology & modeling — rainfall–runoff, discharge analysis, LISFLOOD
🤖 Applied ML — ConvLSTM, TCN for hydrological forecasting
📄 Data extraction — OCR pipelines for scanned documents and PDFs
                  Featured projects
                  LISFLOOD basin setup pipeline
End-to-end pipeline that turns a watershed polygon + DEM + soil data into a
complete, runnable LISFLOOD hydrological model, with multi-objective calibration
(Optuna). Config-driven, self-validating, no hard-coded paths.
python · lisflood · gdal · hydrology · geospatial
                  ConvLSTM rainfall–runoff
Deep-learning pipeline predicting river discharge from gridded daily meteorology
(ERA5-Land). Two-branch ConvLSTM + interpretability suite (saliency, Grad-CAM,
permutation importance).
python · tensorflow · machine-learning · remote-sensing
                  Freshet Detector
Detects snowmelt-flood timing, duration and volume from daily discharge series.
CLI + desktop GUI, baseflow separation, configurable detection modes.
python · hydrology · time-series
                  Tech
                  Python · rasterio · GDAL · geopandas · xarray · NumPy · pandas ·
TensorFlow · QGIS · NetCDF · Optuna
                  
Popular repositories
Loading
                  1. 
Freshet-Detector
Freshet-DetectorPublic
                    
Snowmelt Flood Analysis for Lowland Rivers

                    Python
                  2. 
ConvLSTM-rainfall-runoff
ConvLSTM-rainfall-runoffPublic
                    
A compact, reproducible deep-learning pipeline that predicts daily discharge at a single gauge from gridded daily meteorological fields over the contributing catchment.

                    Python
                  3. 
LISFLOOD-basin-setup-pipeline
LISFLOOD-basin-setup-pipelinePublic
                    
An end-to-end, config-driven pipeline that turns the minimum manual inputs for a new river basin - a catchment polygon, a DEM, and four soil rasters - into a complete, internally consistent LISFLOO…

                    Python
                  4. 
mad0bako
mad0bakoPublic
                  5. 
ballistics-core
ballistics-corePublic
                    
Interior and exterior ballistics simulation in pure Python - propellant thermochemistry, Resal's equation, barrel strength and wear

                    Python