31:T406,The annual land cover data of Nepal (2000-2019) have been created through the National Land Cover Monitoring System (NLCMS) for Nepal. The system uses freely available remote-sensing data (Landsat) and a cloud-based machine learning architecture in the Google Earth Engine (GEE) platform to generate land cover maps on an annual basis using a harmonized and consistent classification system. The NLCMS is developed by the Forest Research and Training Centre (FRTC), Ministry of Forests and Environment, Government of Nepal with support from the International Centre for Integrated Mountain Development (ICIMOD) through SERVIR Hindu Kush Himalaya (SERVIR-HKH), a joint initiative in partnership with the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID). Collaborators include SERVIR–Mekong at the Asian Disaster Preparedness Center (ADPC), SilvaCarbon, Global Land Analysis and Discovery (GLAD) group at the University of Maryland, and the US Forest Service.32:T58c,archives = [ "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2000.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2001.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2002.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2003.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2004.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2005.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2006.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2007.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2008.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2009.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2010.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2011.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2013.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2014.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2015.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2016.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2017.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2018.zip", "https://s3.amazonaws.com/geospatial.data/nepal/icimod/nlcms_2019.zip", ]33:T24f8,

Metadata Record Info
Schema	iso19139
Purpose	The annual land cover data of Nepal (2000–2019) developed using a harmonized and consistent classification system will support assessment and monitoring of land cover change in the country and will serve as key dataset in various thematic applications.
Descriptive Keyword	Land cover, Land use, GIS, spatial data, Landsat, GEE, Google Earth Engine, Earth Observation, NLCMS (theme) Nepal, FRTC, ICIMOD, SERVIR-HKH (place)
Language	eng
Charset	utf8
Hierarchy Level	dataset
Date	2022-04-21T15:48:22
Standard Name	North American Profile of ISO 19115:2003

Contact
Name	Mr. Raja Ram Aryal	Email	raja.aryal@nepal.gov.np
Organization Name	FRTC	Voice
Position name		Address
Role	author

Identification Info
Title	Land cover of Nepal
Date	2021-02-10
Date Type	publication
Purpose	The annual land cover data of Nepal (2000–2019) developed using a harmonized and consistent classification system will support assessment and monitoring of land cover change in the country and will serve as key dataset in various thematic applications.
Status	completed
Charset	utf8
Topic Category	geoscientificInformation
Spatial Representation Type	grid
Spatial Resolution	30

Cited Responsible Parties
Name	Mr. Raja Ram Aryal	Email	raja.aryal@nepal.gov.np
Organization Name	FRTC	Voice
Position name		Address	Nepal
Role	author

Name	Mr. Kabir Uddin	Email	kabir.uddin@icimod.org
Organization Name	ICIMOD	Voice	977-1-5275222
Position name	GIS and Remote Sensing Specialist	Address
Role	author

Geographic Extent
Geographic Extent East	88.169	Geographic Extent West	80.03
Geographic Extent North	30.417	Geographic Extent South	26.344

Resource Maintenance Information
Maintenance and update frequency	asNeeded
User Defined Maintenance Frequency
Date of Next Update

Legal Constraints
Use Limitation	Free to use with attribution to the source. Suggested citation: FRTC. (2022). Land cover of Nepal [Data set]. FRTC. https://doi.org/10.26066/RDS.1972729
Access Constraints	copyright
Use Constraints	copyright

Reference System Information
Code	Lambert Conformal Conic

Data Quality Info
Hierarchy level	dataset

Distributor Info
Email	metadata@icimod.org	Organization Name	ICIMOD
Voice		Position name
Address		Role	distributor

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**Archive Version Date:** 4/21/2022 3:48:22 PM.","pinned":false,"hidden":false,"mode":"md"},{"id":7,"value":"$31","pinned":false,"hidden":false,"mode":"md"},{"id":138,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":29,"value":"viewof archive_select = Inputs.select(archivesMap, {\n multiple: false,\n label: \"Year\",\n value: Array.from(archivesMap.values()).at(-1)\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":109,"value":"canvas = {\n const canvas = DOM.canvas(width, height);\n\n canvas.style.maxWidth = \"100%\";\n\n const plot = new plotty.plot({\n canvas,\n data: image_data[0],\n width,\n height,\n domain: [0, 11],\n colorScale: \"viridis\"\n });\n\n plot.render();\n\n return canvas;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":89,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":178,"value":"viewof feature = Inputs.checkbox(featureBitmap, {\n label: \"Feature\",\n value: [featureBitmap.get(\"Forest\")]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":171,"value":"{\n const canvas = DOM.canvas(width, height);\n canvas.style.maxWidth = \"100%\";\n const plot = new plotty.plot({\n canvas,\n data: featureArray,\n width,\n height,\n domain: [1, 0],\n colorScale: \"greys\"\n });\n\n plot.render();\n return canvas;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":107,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":19,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":197,"value":"archivesMap = new Map(\n archives.map((d) => {\n const { year } = d.match(yearRegex)?.groups;\n return [year, d];\n })\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":196,"value":"yearRegex = /_(?\\d+)\\.zip$/","pinned":true,"hidden":false,"mode":"ojs"},{"id":34,"value":"archive_reader = fetch(archive_select).then((z) => zipreader(z, { type: \"arraybuffer\" }))","pinned":false,"hidden":false,"mode":"ojs"},{"id":121,"value":"tiff_file_buffer = archive_reader.get(\"data/LandCover_NP_\" + extractYearFromURL(archive_select) + \".tif\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":119,"value":"tiff = GeoTIFF.fromArrayBuffer(tiff_file_buffer)","pinned":false,"hidden":false,"mode":"ojs"},{"id":131,"value":"function extractYearFromURL(url) {\n var parts = url.split('/');\n var fileName = parts[parts.length - 1];\n var yearMatch = fileName.match(/\\d{4}/);\n \n if (yearMatch) {\n return yearMatch[0];\n }\n \n return null; // or any other default value you prefer\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":117,"value":"image = tiff.getImage()","pinned":false,"hidden":false,"mode":"ojs"},{"id":111,"value":"image_data = image.readRasters({ width, height })","pinned":false,"hidden":false,"mode":"ojs"},{"id":115,"value":"imageAspectRatio = image.getWidth() / image.getHeight()","pinned":false,"hidden":false,"mode":"ojs"},{"id":113,"value":"height = Math.floor(width / imageAspectRatio)","pinned":false,"hidden":false,"mode":"ojs"},{"id":123,"value":"GeoTIFF = require(\"geotiff@1.0.0-beta.13\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":125,"value":"plotty = import(\"https://cdn.skypack.dev/plotty@0.4.9?min\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":174,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":176,"value":"featureArray = image_data[0].map((d) => (feature.includes(d) ? 1 : 0))","pinned":false,"hidden":false,"mode":"ojs"},{"id":180,"value":"featureBitmap = new Map([\n [\"Waterbody\", 1],\n [\"Glacier\", 2],\n [\"Snow\", 3],\n [\"Forest\", 4],\n [\"Riverbed\", 5],\n [\"Built-up area\", 6],\n [\"Cropland\", 7],\n [\"Bare soil\", 8],\n [\"Bare rock\", 9],\n [\"Grassland\", 10],\n [\"Other wooded land\", 11]\n])","pinned":false,"hidden":false,"mode":"ojs"},{"id":53,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":189,"value":"### Source: ICIMOD | [Land cover of Nepal](http://rds.icimod.org/Home/DataDetail?metadataId=1972729)","pinned":false,"hidden":false,"mode":"md"},{"id":151,"value":"\n

\"Map — Land cover of Nepal. **Credit:** ICIMOD

\n","pinned":false,"hidden":false,"mode":"html"},{"id":22,"value":"$33","pinned":false,"hidden":false,"mode":"html"},{"id":98,"value":"---","pinned":false,"hidden":false,"mode":"md"},{"id":101,"value":"## Imports & Helpers","pinned":false,"hidden":false,"mode":"md"},{"id":25,"value":"import {zip, zipreader} from \"@fil/jszip\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}