[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"learn-\u002Flearn\u002Fhow-to\u002Fsoil-landscapes-canada-vs-lsrs":3,"learn-related-how-to\u002Fsoil-landscapes-canada-vs-lsrs":438},{"id":4,"title":5,"body":6,"category":417,"createdAt":417,"cta":418,"description":420,"extension":421,"icon":417,"industry":422,"keywords":423,"meta":429,"navigation":430,"path":431,"province":417,"relatedPages":417,"section":432,"seo":433,"stem":434,"systems":435,"updatedAt":417,"__hash__":437},"learn\u002Flearn\u002Fhow-to\u002Fsoil-landscapes-canada-vs-lsrs.md","Soil Landscapes of Canada vs. LSRS: Which to Read When",{"type":7,"value":8,"toc":405},"minimark",[9,14,27,30,35,42,162,165,169,175,178,182,187,208,213,227,231,245,253,256,261,269,274,288,292,318,322,325,345,348,351,355,375,379],[10,11,13],"h1",{"id":12},"soil-landscapes-of-canada-vs-lsrs","Soil Landscapes of Canada vs. LSRS",[15,16,17,18,22,23,26],"p",{},"For any Alberta or Saskatchewan quarter section, Township Canada returns two soil-related fields on the parcel report: the ",[19,20,21],"strong",{},"LSRS class"," (productivity score for spring cereals) and the ",[19,24,25],{},"dominant soil order"," from Soil Landscapes of Canada (SLC). They look similar at a glance. They're not the same.",[15,28,29],{},"This page covers what each one means, when to read which, and why we ship both.",[31,32,34],"h2",{"id":33},"what-slc-tells-you","What SLC tells you",[15,36,37,38,41],{},"The ",[19,39,40],{},"Soil Landscapes of Canada"," dataset, published by AAFC, is the national soil polygon layer — 1:1,000,000 scale, covering the entire agricultural land base from BC through the Atlantic provinces. Each polygon carries a dominant soil order:",[43,44,45,58],"table",{},[46,47,48],"thead",{},[49,50,51,55],"tr",{},[52,53,54],"th",{},"Soil order",[52,56,57],{},"Where you'll find it on the Prairies",[59,60,61,72,82,92,102,112,122,132,142,152],"tbody",{},[49,62,63,69],{},[64,65,66],"td",{},[19,67,68],{},"Chernozemic",[64,70,71],{},"The grassland soils — Black, Dark Brown, Brown, Dark Gray. The ag belt.",[49,73,74,79],{},[64,75,76],{},[19,77,78],{},"Luvisolic",[64,80,81],{},"Forest-fringe soils — gray, lower OM, less productive for cereals.",[49,83,84,89],{},[64,85,86],{},[19,87,88],{},"Brunisolic",[64,90,91],{},"Young soils, mountainous or northern areas. Limited cropland.",[49,93,94,99],{},[64,95,96],{},[19,97,98],{},"Cryosolic",[64,100,101],{},"Permafrost soils. Northern fringe.",[49,103,104,109],{},[64,105,106],{},[19,107,108],{},"Gleysolic",[64,110,111],{},"Wet-soil-influenced (poorly drained). Patches in low areas.",[49,113,114,119],{},[64,115,116],{},[19,117,118],{},"Organic",[64,120,121],{},"Peat soils. Bogs and fens.",[49,123,124,129],{},[64,125,126],{},[19,127,128],{},"Solonetzic",[64,130,131],{},"Salt-affected soils. Problem areas in SK and parts of AB.",[49,133,134,139],{},[64,135,136],{},[19,137,138],{},"Regosolic",[64,140,141],{},"Weakly developed soils. Riverbanks, recently disturbed.",[49,143,144,149],{},[64,145,146],{},[19,147,148],{},"Vertisolic",[64,150,151],{},"Shrink-swell clay soils. Limited Canadian distribution.",[49,153,154,159],{},[64,155,156],{},[19,157,158],{},"Podzolic",[64,160,161],{},"Acidic forest soils. BC, Atlantic, parts of ON.",[15,163,164],{},"The Prairie ag belt is overwhelmingly Chernozemic — that's the productive grassland soil that supports the canola-wheat economy.",[31,166,168],{"id":167},"what-lsrs-tells-you","What LSRS tells you",[15,170,37,171,174],{},[19,172,173],{},"Land Suitability Rating System"," (LSRS) is a derived index, not a soil description. It combines climate + soil + landscape into a single 1-to-7 class (or 0-100 score in Township Canada's translation) measuring suitability for spring-seeded small grains.",[15,176,177],{},"A class-1 (Excellent) parcel has all three sub-dimensions aligned for good cereal production. A class-7 (Unsuitable) parcel has limitations in at least one — too cold, too saline, too steep, too rocky.",[31,179,181],{"id":180},"when-to-read-which","When to read which",[15,183,184],{},[19,185,186],{},"Read SLC when:",[188,189,190,194,202,205],"ul",{},[191,192,193],"li",{},"LSRS coverage isn't shipped yet for the region (SK and MB are coming; SLC is national)",[191,195,196,197,201],{},"You want to understand ",[198,199,200],"em",{},"why"," the LSRS class is what it is — Gray Luvisol with low OM explains a class-4 productivity rating",[191,203,204],{},"You're looking at non-cereal-cropping decisions where LSRS doesn't apply (forage, pasture, native land)",[191,206,207],{},"You're mapping soil zones at province scale — SLC has the national reach, LSRS is regional today",[15,209,210],{},[19,211,212],{},"Read LSRS when:",[188,214,215,218,221,224],{},[191,216,217],{},"You need a productivity score per quarter section",[191,219,220],{},"You're underwriting acquisition value where productivity is the dominant input",[191,222,223],{},"You're comparing parcels within a region (LSRS is finer-grained than SLC)",[191,225,226],{},"The target use is spring-cereal cropping specifically (LSRS is calibrated for that)",[31,228,230],{"id":229},"how-they-appear-in-township-canada","How they appear in Township Canada",[15,232,233],{},[19,234,235,236,244],{},"On the parcel report at ",[237,238,240],"a",{"href":239},"\u002Fparcel\u002FSE-14-29-21-W2",[241,242,243],"code",{},"\u002Fparcel\u002F[lld]",":",[188,246,247,250],{},[191,248,249],{},"\"LSRS soil productivity\" card returns the class + score (AB only today)",[191,251,252],{},"\"Soil Landscapes of Canada\" card returns the dominant soil order (national coverage)",[15,254,255],{},"Both are free, on every tier. For a SK or MB quarter, the LSRS card will say \"no coverage\" but the SLC card will return the soil order — which is the next-most-useful answer.",[15,257,258],{},[19,259,260],{},"On the map (Ag Farmer and Investor):",[188,262,263,266],{},[191,264,265],{},"LSRS overlay shows the colour-coded productivity ramp",[191,267,268],{},"SLC overlay shows the soil orders with the colour scheme published by AAFC",[15,270,271],{},[19,272,273],{},"On the Territory CSV export (Ag Investor):",[15,275,276,277,280,281,284,285,287],{},"The CSV now includes both ",[241,278,279],{},"lsrs_score"," and ",[241,282,283],{},"soil_order"," columns per parcel. For an investor scoping a portfolio in SK where LSRS isn't shipped yet, ",[241,286,283],{}," is the proxy — Black Chernozem rows are the productive ground, Luvisolic rows are the lower-productivity ones.",[31,289,291],{"id":290},"what-slc-is-not","What SLC is NOT",[188,293,294,300,306,312],{},[191,295,296,299],{},[19,297,298],{},"Not a productivity score."," It's categorical — \"Chernozem\" tells you a lot about the soil, but you still need climate and landscape context to know if it's productive.",[191,301,302,305],{},[19,303,304],{},"Not crop-specific."," Pasture, hay, and cropland respond differently to soil order; SLC doesn't break out crop suitability.",[191,307,308,311],{},[19,309,310],{},"Not high-resolution."," 1:1,000,000 is coarse. A 160-acre quarter section often sits entirely within one SLC polygon; the within-parcel variation isn't captured.",[191,313,314,317],{},[19,315,316],{},"Not current."," SLC was mapped over decades. The polygons reflect the soil as surveyed; salinity, OM, erosion may have shifted since.",[31,319,321],{"id":320},"combining-slc-lsrs-and-aafc-crop-history","Combining SLC, LSRS, and AAFC crop history",[15,323,324],{},"The three layers triangulate the answer for any parcel:",[188,326,327,333,339],{},[191,328,329,332],{},[19,330,331],{},"SLC"," — what the soil is (Black Chernozem)",[191,334,335,338],{},[19,336,337],{},"LSRS"," — how productive that soil + climate + landscape is for cereals (class 2 — Very Good)",[191,340,341,344],{},[19,342,343],{},"AAFC"," — what's actually been grown over the last 5 years (Canola-Wheat rotation)",[15,346,347],{},"When the three align — Black Chernozem + LSRS class 2 + active canola rotation — that's confirmed productive ground. When they diverge — Gray Luvisol + LSRS class 5 + recent canola rotation — the parcel is being farmed at the high end of its capability, with diminishing yield headroom.",[15,349,350],{},"For investors, that triangulation is the diligence shape. For farmers, it's the leasing-decision shape.",[31,352,354],{"id":353},"coverage","Coverage",[188,356,357,363,369],{},[191,358,359,362],{},[19,360,361],{},"SLC:"," national, all provinces and territories",[191,364,365,368],{},[19,366,367],{},"LSRS:"," Alberta v1 shipped (AGRASID 4.1 source). Saskatchewan compute pipeline in flight (AGRASID + SKSIS + climate + DEM). Manitoba, BC, Ontario further out.",[191,370,371,374],{},[19,372,373],{},"AAFC Annual Crop Inventory:"," AB + SK full agricultural land base; MB \u002F BC \u002F ON partial.",[31,376,378],{"id":377},"related","Related",[188,380,381,387,393,399],{},[191,382,383],{},[237,384,386],{"href":385},"\u002Flearn\u002Fhow-to\u002Flsrs-soil-productivity-score","LSRS Soil Productivity Score explained",[191,388,389],{},[237,390,392],{"href":391},"\u002Flearn\u002Fhow-to\u002Faafc-crop-history-quarter-section","AAFC Crop History per Quarter Section",[191,394,395],{},[237,396,398],{"href":397},"\u002Flearn\u002Fhow-to\u002Ffarmland-due-diligence-soil-and-crop","Farmland Due Diligence: Soil and Crop Checks",[191,400,401],{},[237,402,404],{"href":403},"\u002Fblog\u002Flsrs-explained-what-the-score-tells-you","LSRS Explained — what the score tells you",{"title":406,"searchDepth":407,"depth":407,"links":408},"",2,[409,410,411,412,413,414,415,416],{"id":33,"depth":407,"text":34},{"id":167,"depth":407,"text":168},{"id":180,"depth":407,"text":181},{"id":229,"depth":407,"text":230},{"id":290,"depth":407,"text":291},{"id":320,"depth":407,"text":321},{"id":353,"depth":407,"text":354},{"id":377,"depth":407,"text":378},null,{"label":419,"href":239},"Pull a parcel report","SLC and LSRS are both AAFC soil products but they answer different questions. SLC tells you what the soil is; LSRS tells you how productive it is. Here's when each one is the right input.","md","agriculture",[424,425,426,427,428],"soil landscapes of canada","slc soil order","lsrs vs slc","alberta saskatchewan soil order","chernozem soil map",{},true,"\u002Flearn\u002Fhow-to\u002Fsoil-landscapes-canada-vs-lsrs","how-to",{"title":5,"description":420},"learn\u002Fhow-to\u002Fsoil-landscapes-canada-vs-lsrs",[436],"DLS","5RHzOCdvlfanBUXR7gl8-_pHRPoIYP5M05eZGqCJuSA",[439,628,868],{"id":440,"title":441,"body":442,"category":417,"createdAt":417,"cta":615,"description":616,"extension":421,"icon":417,"industry":422,"keywords":617,"meta":623,"navigation":430,"path":391,"province":417,"relatedPages":417,"section":432,"seo":624,"stem":625,"systems":626,"updatedAt":417,"__hash__":627},"learn\u002Flearn\u002Fhow-to\u002Faafc-crop-history-quarter-section.md","AAFC Crop History: Look Up 5 Years of What's Been Grown on Any Quarter Section",{"type":7,"value":443,"toc":608},[444,447,450,454,461,487,490,494,500,506,517,523,527,530,552,554,573,581,583],[10,445,392],{"id":446},"aafc-crop-history-per-quarter-section",[15,448,449],{},"Agriculture and Agri-Food Canada (AAFC) publishes a national raster called the Annual Crop Inventory (ACI). Each ~30m pixel carries an integer crop class — canola, spring wheat, soybean, fallow, etc. — for each growing season from 2009 onward. Township Canada aggregates the most recent five years to a per-cell summary and surfaces it on every parcel report.",[31,451,453],{"id":452},"what-the-summary-returns","What the summary returns",[15,455,456,457,460],{},"For any quarter section in Alberta or Saskatchewan, the AAFC crop summary card on ",[241,458,459],{},"\u002Fparcel\u002F\u003Clld>"," returns:",[188,462,463,469,475,481],{},[191,464,465,468],{},[19,466,467],{},"Dominant crop"," — the crop class that occupies the most acres across the 5-year window",[191,470,471,474],{},[19,472,473],{},"Rotation"," — the year-by-year sequence of dominant crops (e.g., Canola → Wheat → Canola → Lentil → Canola)",[191,476,477,480],{},[19,478,479],{},"Shannon diversity index"," — a 0-1 measure of how varied the rotation is (0 = monoculture, ~1 = even mix of several crops)",[191,482,483,486],{},[19,484,485],{},"Years covered"," — which years are included in the aggregate",[15,488,489],{},"The pipeline reprojects each year's raster, takes the modal crop class per 1km vector cell, and joins to AAFC's published colour table. Coverage extends across Alberta and Saskatchewan; the layer can be toggled as a full map overlay at the Ag Farmer tier and above.",[31,491,493],{"id":492},"how-to-use-it","How to use it",[15,495,496,499],{},[19,497,498],{},"For farmers checking a new lease."," Before signing, pull the report on the parcel. If the dominant crop is wheat-monoculture for five straight years, that's relevant — both for understanding what came off and for nitrogen\u002Fdisease pressure planning. If the rotation is canola-wheat-canola-wheat, that's a different signal.",[15,501,502,505],{},[19,503,504],{},"For agronomists prepping visits."," A territory of 20 parcels with dominant crop and diversity already in the report lets the agronomist build the visit list around what's actually growing — soybean visits in one cluster, canola in another.",[15,507,508,511,512,516],{},[19,509,510],{},"For carbon project developers."," The Alberta TIER Conservation Cropping protocol requires historical crop history per parcel. The per-parcel AAFC summary serves this directly without a manual GIS query against AAFC's published rasters. See ",[237,513,515],{"href":514},"\u002Flearn\u002Fhow-to\u002Fcarbon-credits-legal-land-descriptions","Alberta carbon credits legal land descriptions",".",[15,518,519,522],{},[19,520,521],{},"For investors underwriting a portfolio."," Dominant crop and diversity across 60 candidate parcels give a quick read on intensification level — high-canola, low-diversity portfolios behave differently than mixed grain-pulse-oilseed portfolios in price-shock years.",[31,524,526],{"id":525},"whats-not-in-the-summary","What's not in the summary",[15,528,529],{},"A few clarifications:",[188,531,532,539,545],{},[191,533,534,535,538],{},"It's ",[19,536,537],{},"modal per pixel, then aggregated"," — a quarter section that grew canola on 60% and wheat on 40% reports canola as dominant, not \"60% canola \u002F 40% wheat.\" The parcel-level acreage breakdown is in the underlying data; the surfaced summary picks a single dominant.",[191,540,534,541,544],{},[19,542,543],{},"observed, not declared."," AAFC ACI is satellite-derived; what gets reported is what the imagery sees. A canola crop that failed in May and got reseeded to oats may show as oats; an unseeded fallow shows as fallow.",[191,546,547,548,551],{},"The rotation is ",[19,549,550],{},"chronological",", not most-recent-first. Year 5 (oldest) → Year 1 (newest).",[31,553,354],{"id":353},[188,555,556,562,567],{},[191,557,558,561],{},[19,559,560],{},"Alberta:"," full coverage",[191,563,564,561],{},[19,565,566],{},"Saskatchewan:",[191,568,569,572],{},[19,570,571],{},"Manitoba, BC, Ontario:"," partial; AAFC publishes for the agricultural land base only",[15,574,575,576,580],{},"See the ",[237,577,579],{"href":578},"\u002Fdocs\u002Fdata-layers\u002Faafc-crop-inventory","AAFC layer reference"," for the data pipeline.",[31,582,378],{"id":377},[188,584,585,590,597,602],{},[191,586,587],{},[237,588,589],{"href":385},"LSRS Soil Productivity Score",[191,591,592],{},[237,593,594,595],{"href":239},"Parcel report at ",[241,596,243],{},[191,598,599],{},[237,600,601],{"href":514},"Alberta Carbon Credits Legal Land Descriptions",[191,603,604],{},[237,605,607],{"href":606},"\u002Fblog\u002Fsaskatchewan-quarter-section-guide-grain-farmers-scic-filers","Saskatchewan Quarter Section Guide for Grain Farmers",{"title":406,"searchDepth":407,"depth":407,"links":609},[610,611,612,613,614],{"id":452,"depth":407,"text":453},{"id":492,"depth":407,"text":493},{"id":525,"depth":407,"text":526},{"id":353,"depth":407,"text":354},{"id":377,"depth":407,"text":378},{"label":419,"href":239},"AAFC's Annual Crop Inventory shows dominant crop per pixel since 2009. Township Canada aggregates it to a 5-year rolling per-quarter summary with rotation and diversity score.",[618,619,620,621,622],"aafc crop history","crop history quarter section","what was grown on this parcel","aafc annual crop inventory","5 year crop rotation lookup",{},{"title":441,"description":616},"learn\u002Fhow-to\u002Faafc-crop-history-quarter-section",[436],"LEUX2tZFsJoDRyPH08HITsQ9QWBP7Y5_dJDRUHljFLE",{"id":629,"title":630,"body":631,"category":417,"createdAt":417,"cta":852,"description":854,"extension":421,"icon":417,"industry":855,"keywords":856,"meta":861,"navigation":430,"path":862,"province":863,"relatedPages":417,"section":432,"seo":864,"stem":865,"systems":866,"updatedAt":417,"__hash__":867},"learn\u002Flearn\u002Fhow-to\u002Faer-facilities-eight-categories.md","AER Facilities Map: 8 Categories from 40+ Petrinex Sub-codes",{"type":7,"value":632,"toc":844},[633,637,640,644,749,756,760,763,766,770,776,782,788,794,798,801,803,816,818],[10,634,636],{"id":635},"aer-facilities-map-8-customer-facing-categories","AER Facilities Map — 8 Customer-Facing Categories",[15,638,639],{},"The AER's ST102 facilities dataset lists every licensed midstream and processing facility in Alberta — batteries, gas plants, compressor stations, disposal wells, custom treaters, terminals, water source wells. The raw dataset uses 40+ Petrinex sub-codes for fine-grained facility typing. Township Canada collapses these into eight customer-facing buckets so the data catalog UI stays readable and the icons mean something visually.",[31,641,643],{"id":642},"the-eight-categories","The eight categories",[43,645,646,659],{},[46,647,648],{},[49,649,650,653,656],{},[52,651,652],{},"Category",[52,654,655],{},"Petrinex sub-codes covered",[52,657,658],{},"What it represents",[59,660,661,672,683,694,705,716,727,738],{},[49,662,663,666,669],{},[64,664,665],{},"Battery",[64,667,668],{},"Multi-well, single-well, group, oil sands batteries",[64,670,671],{},"Crude\u002Fmultiphase production facility — typically the first downstream point from wells",[49,673,674,677,680],{},[64,675,676],{},"Gas plant",[64,678,679],{},"Gas processing, sweet, sour, dehydration",[64,681,682],{},"Gas treatment \u002F processing",[49,684,685,688,691],{},[64,686,687],{},"Compressor",[64,689,690],{},"Compressor station, booster, gathering compressor",[64,692,693],{},"Pressure-boosting along the gas transport path",[49,695,696,699,702],{},[64,697,698],{},"Disposal",[64,700,701],{},"Acid gas disposal, water disposal, salt cavern, deep well",[64,703,704],{},"Sub-surface disposal of produced water, acid gas, etc.",[49,706,707,710,713],{},[64,708,709],{},"Custom treating",[64,711,712],{},"Custom-treating facility",[64,714,715],{},"Third-party processing for non-operator volumes",[49,717,718,721,724],{},[64,719,720],{},"Terminal",[64,722,723],{},"Pipeline terminal, truck terminal, rail terminal",[64,725,726],{},"Crude\u002Fcondensate transfer and storage",[49,728,729,732,735],{},[64,730,731],{},"Water source",[64,733,734],{},"Water source wells, fresh water facilities",[64,736,737],{},"Source of water for industrial use (frac, injection)",[49,739,740,743,746],{},[64,741,742],{},"Other",[64,744,745],{},"Anything not in the above (typically rare or unusual facility types)",[64,747,748],{},"Catch-all",[15,750,751,752,755],{},"The category mapping lives in ",[241,753,754],{},"app.categorize_facility()"," on the database. Updates land alongside AER ST102 publication cycles.",[31,757,759],{"id":758},"how-the-map-renders","How the map renders",[15,761,762],{},"Each category gets a distinct icon style on the map, sized to be readable at zoom 8 (province scale) without overcrowding. Labels use the facility name; clicking a facility opens a popover with the licensee, status, full Petrinex sub-code, and DLS legal description.",[15,764,765],{},"The layer is part of the Energy Bundle data catalog. Toggle it on alongside AER Wells and AER Pipelines for the full midstream view.",[31,767,769],{"id":768},"use-cases","Use cases",[15,771,772,775],{},[19,773,774],{},"Operators evaluating new tie-in options"," — Batteries and compressors near a proposed wellsite are the candidate destinations for new pipeline. The 8-category breakdown lets you filter to just the relevant facility types in a single click.",[15,777,778,781],{},[19,779,780],{},"Custom treaters and water source operators identifying coverage gaps"," — toggling just the Custom Treating or Water Source categories surfaces the geographic distribution; useful for siting new capacity.",[15,783,784,787],{},[19,785,786],{},"Acid gas disposal planning"," — the Disposal category surfaces existing acid gas disposal wells; new injection projects need to evaluate proximity to existing infrastructure for risk assessment.",[15,789,790,793],{},[19,791,792],{},"Closure obligation analysts"," — facilities follow a similar lifecycle to wells (active, suspended, abandoned, reclamation-certified). The lifecycle filter applies here too.",[31,795,797],{"id":796},"why-the-categorization-is-worth-the-work","Why the categorization is worth the work",[15,799,800],{},"A raw dump of all 40+ Petrinex sub-codes produces an unreadable map — the icon set has too many similar-looking types and customers spend time figuring out what each one means rather than acting on the data. The 8-bucket model maps to how operators actually think about midstream infrastructure: where does the production go (battery), how does it get processed (gas plant, custom treating), how is it moved (compressor, terminal), and what's the disposal pattern (disposal).",[31,802,354],{"id":353},[188,804,805,810],{},[191,806,807,809],{},[19,808,560],{}," full AER ST102 coverage",[191,811,812,815],{},[19,813,814],{},"Saskatchewan, BC:"," not yet — see roadmap",[31,817,378],{"id":377},[188,819,820,826,832,838],{},[191,821,822],{},[237,823,825],{"href":824},"\u002Flearn\u002Fhow-to\u002Faer-wells-lifecycle-status","AER Wells Lifecycle Status",[191,827,828],{},[237,829,831],{"href":830},"\u002Flearn\u002Fhow-to\u002Faer-pipelines-map","AER Pipelines Map",[191,833,834],{},[237,835,837],{"href":836},"\u002Ffor\u002Foil-and-gas","Township Canada for Oil and Gas Operators",[191,839,840],{},[237,841,843],{"href":842},"\u002Fuse-cases\u002Fenergy","Energy use case overview",{"title":406,"searchDepth":407,"depth":407,"links":845},[846,847,848,849,850,851],{"id":642,"depth":407,"text":643},{"id":758,"depth":407,"text":759},{"id":768,"depth":407,"text":769},{"id":796,"depth":407,"text":797},{"id":353,"depth":407,"text":354},{"id":377,"depth":407,"text":378},{"label":853,"href":836},"See the Energy Bundle","Township Canada collapses AER ST102 facility sub-codes into 8 clean categories (battery, gas plant, compressor, disposal, etc.) so the catalog UI stays readable across the full Alberta dataset.","oil-and-gas",[857,858,859,860],"aer facilities map alberta","aer st102 facilities","battery gas plant compressor map","alberta oil gas facility types",{},"\u002Flearn\u002Fhow-to\u002Faer-facilities-eight-categories","alberta",{"title":630,"description":854},"learn\u002Fhow-to\u002Faer-facilities-eight-categories",[436],"gussaU14ivYFnAcyL1Q1HksoKdSgOKBc-i7XY_L9B_c",{"id":869,"title":870,"body":871,"category":417,"createdAt":417,"cta":1026,"description":1027,"extension":421,"icon":417,"industry":855,"keywords":1028,"meta":1033,"navigation":430,"path":830,"province":863,"relatedPages":417,"section":432,"seo":1034,"stem":1035,"systems":1036,"updatedAt":417,"__hash__":1037},"learn\u002Flearn\u002Fhow-to\u002Faer-pipelines-map.md","AER Pipelines Map: Visualize Alberta Oil and Gas Pipelines on the DLS Grid",{"type":7,"value":872,"toc":1019},[873,876,879,883,907,914,918,924,930,936,942,948,952,955,975,977,988,995,997],[10,874,831],{"id":875},"aer-pipelines-map",[15,877,878],{},"Alberta has roughly half a million kilometres of licensed pipeline distributed across natural gas, crude oil, multiphase, water disposal, fuel gas, and CO2 service. Every segment is licensed by the Alberta Energy Regulator and tracked by start\u002Fend DLS legal land descriptions. Township Canada renders the full network as a line layer on the same map as wells, facilities, and parcels.",[31,880,882],{"id":881},"what-the-layer-shows","What the layer shows",[188,884,885,891,901],{},[191,886,887,890],{},[19,888,889],{},"Line geometry"," for every AER-licensed pipeline segment",[191,892,893,896,897,900],{},[19,894,895],{},"Mid-point label points"," computed via ",[241,898,899],{},"ST_LineInterpolatePoint"," — drops the label at the centre of each segment so the line layer stays readable at low zoom",[191,902,903,906],{},[19,904,905],{},"Stack ordering"," with the line beneath label points so the geometry stays visible when labels are toggled",[15,908,909,910,913],{},"The PMTiles for the pipeline layer use ",[241,911,912],{},"--coalesce-densest-as-needed"," to keep southern-Alberta tile sizes manageable. In central-southwest Alberta where the density is highest (5000+ segments per township in a few areas), the PMTiles pipeline collapses adjacent segments at low zoom so the visual stays legible.",[31,915,917],{"id":916},"use-cases-by-role","Use cases by role",[15,919,920,923],{},[19,921,922],{},"Operators planning new gathering infrastructure"," — toggle the pipelines layer to see existing tie-in candidates near a proposed wellsite. Cross-reference with the AER Facilities layer (battery, gas plant, compressor, etc.) to identify the actual destination points.",[15,925,926,929],{},[19,927,928],{},"Integrity teams"," — for a planned ILI (in-line inspection) campaign, the layer shows the segments to schedule against. The mid-point labels make it straightforward to identify named lines from the map view.",[15,931,932,935],{},[19,933,934],{},"Right-of-way planning"," — for a new pipeline corridor, the existing network lets the engineering team identify parallel-routing opportunities (sharing existing ROW corridors saves environmental assessment time) and proximity conflicts.",[15,937,938,941],{},[19,939,940],{},"M&A diligence"," — when evaluating an acquisition target's infrastructure footprint, the pipelines layer plus the AER Wells layer plus the BA licensee snapshot API give a full picture without round-tripping the AER directives portal.",[15,943,944,947],{},[19,945,946],{},"Surface-rights holders"," — when a pipeline crosses your land, knowing the licensee and the line ID is the first step to engaging on integrity, leak history, or right-of-way maintenance.",[31,949,951],{"id":950},"combining-with-other-layers","Combining with other layers",[15,953,954],{},"The pipelines layer is most useful in combination:",[188,956,957,963,969],{},[191,958,959,962],{},[19,960,961],{},"+ Wells layer"," — shows which wells are tied into which lines; especially relevant for shut-in or suspended wells where the gathering infrastructure remains",[191,964,965,968],{},[19,966,967],{},"+ Facilities layer"," — shows the destination batteries, gas plants, and compressors that the lines connect to",[191,970,971,974],{},[19,972,973],{},"+ Crown dispositions overlay (planned)"," — shows the surface dispositions (PIL, LOC) that license the right-of-way",[31,976,354],{"id":353},[188,978,979,984],{},[191,980,981,983],{},[19,982,560],{}," full AER coverage",[191,985,986,815],{},[19,987,814],{},[15,989,990,991,994],{},"The pipeline layer ships as part of the Energy Bundle. See the ",[237,992,993],{"href":842},"Energy use case page"," for the full layer set.",[31,996,378],{"id":377},[188,998,999,1003,1009,1013],{},[191,1000,1001],{},[237,1002,825],{"href":824},[191,1004,1005],{},[237,1006,1008],{"href":1007},"\u002Fdocs\u002Fdata-layers\u002Faer-wells","Wells data layer reference",[191,1010,1011],{},[237,1012,837],{"href":836},[191,1014,1015],{},[237,1016,1018],{"href":1017},"\u002Fblog\u002Fdls-tools-alberta-well-closure","DLS Tools for Alberta Well Closure",{"title":406,"searchDepth":407,"depth":407,"links":1020},[1021,1022,1023,1024,1025],{"id":881,"depth":407,"text":882},{"id":916,"depth":407,"text":917},{"id":950,"depth":407,"text":951},{"id":353,"depth":407,"text":354},{"id":377,"depth":407,"text":378},{"label":853,"href":836},"Township Canada renders every AER-licensed pipeline as a line layer with mid-point labels. For operators, integrity teams, and right-of-way planning.",[1029,1030,1031,1032],"aer pipelines map alberta","alberta pipeline gis layer","oil gas pipelines dls","pipeline integrity mapping",{},{"title":870,"description":1027},"learn\u002Fhow-to\u002Faer-pipelines-map",[436],"pgR71Mu7_uVsfeZ2ASo-sjORRtvs9bKuegw3ZuVHeR0"]