LEClab Mining Projects

This space is created for hosting the Google Earth Engine (GEE) codes used for the Didipio Mining Project. This project will be published as a research article titled: Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Code Autho...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Ang, Michelle Li Ern
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Ang, Michelle Li Ern
description This space is created for hosting the Google Earth Engine (GEE) codes used for the Didipio Mining Project. This project will be published as a research article titled: Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Code Authors: Khanh Duc Ngo and Michelle Li Ern Ang.
doi_str_mv 10.7910/dvn/htykvp
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_7910_dvn_htykvp</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_7910_dvn_htykvp</sourcerecordid><originalsourceid>FETCH-LOGICAL-d71p-5acb14e7b004d37b9270a2038a677afa7f9b26a665e39b2d8ba9b4672f6616a53</originalsourceid><addsrcrecordid>eNotzj0PgjAUheEuDgZdHJyZTZCWQi-MhuBHgtGBvbmlRVFEAsSEfy8Gp_NOJw8hK0a3EDHq6k_t3vvh-WnmZJ0mcYXKPpd1Wd_sa_t-mLzvFmRWYNWZ5X8tku2TLD466eVwinepo4E1ToC5Yr4BRamvOajIA4oe5SEKACwQikh5AoUIDB9Lhwoj5QvwCiGYwIBbZDPdauwxL3sjm7Z8YTtIRuXPKkernKz8C5pvOE8</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>LEClab Mining Projects</title><source>DataCite</source><creator>Ang, Michelle Li Ern</creator><creatorcontrib>Ang, Michelle Li Ern</creatorcontrib><description>This space is created for hosting the Google Earth Engine (GEE) codes used for the Didipio Mining Project. This project will be published as a research article titled: Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Code Authors: Khanh Duc Ngo and Michelle Li Ern Ang.</description><identifier>DOI: 10.7910/dvn/htykvp</identifier><language>eng</language><publisher>Harvard Dataverse</publisher><subject>Earth and Environmental Sciences</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>777,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.7910/dvn/htykvp$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ang, Michelle Li Ern</creatorcontrib><title>LEClab Mining Projects</title><description>This space is created for hosting the Google Earth Engine (GEE) codes used for the Didipio Mining Project. This project will be published as a research article titled: Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Code Authors: Khanh Duc Ngo and Michelle Li Ern Ang.</description><subject>Earth and Environmental Sciences</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2020</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNotzj0PgjAUheEuDgZdHJyZTZCWQi-MhuBHgtGBvbmlRVFEAsSEfy8Gp_NOJw8hK0a3EDHq6k_t3vvh-WnmZJ0mcYXKPpd1Wd_sa_t-mLzvFmRWYNWZ5X8tku2TLD466eVwinepo4E1ToC5Yr4BRamvOajIA4oe5SEKACwQikh5AoUIDB9Lhwoj5QvwCiGYwIBbZDPdauwxL3sjm7Z8YTtIRuXPKkernKz8C5pvOE8</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Ang, Michelle Li Ern</creator><general>Harvard Dataverse</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2020</creationdate><title>LEClab Mining Projects</title><author>Ang, Michelle Li Ern</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d71p-5acb14e7b004d37b9270a2038a677afa7f9b26a665e39b2d8ba9b4672f6616a53</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Earth and Environmental Sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>Ang, Michelle Li Ern</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ang, Michelle Li Ern</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>LEClab Mining Projects</title><date>2020</date><risdate>2020</risdate><abstract>This space is created for hosting the Google Earth Engine (GEE) codes used for the Didipio Mining Project. This project will be published as a research article titled: Socio-environmental land cover time series analysis of mining landscapes using Google Earth Engine and web-based mapping. Code Authors: Khanh Duc Ngo and Michelle Li Ern Ang.</abstract><pub>Harvard Dataverse</pub><doi>10.7910/dvn/htykvp</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.7910/dvn/htykvp
ispartof
issn
language eng
recordid cdi_datacite_primary_10_7910_dvn_htykvp
source DataCite
subjects Earth and Environmental Sciences
title LEClab Mining Projects
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T08%3A04%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Ang,%20Michelle%20Li%20Ern&rft.date=2020&rft_id=info:doi/10.7910/dvn/htykvp&rft_dat=%3Cdatacite_PQ8%3E10_7910_dvn_htykvp%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true