Forestry and Other Land Use: Difference between revisions
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=== Ecosystem monitoring === |
=== Ecosystem monitoring === |
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''Main article: Ecosystem Monitoring'' |
''Main article: [[Ecosystem Monitoring]]'' |
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Monitoring the nature's health is a key element in policies surrounding its protection. Advancements in machine learning and remote sensing allow us to scale measurement, reporting and verification processes at an unprecedented scale. |
Monitoring the nature's health is a key element in policies surrounding its protection. Advancements in machine learning and remote sensing allow us to scale measurement, reporting and verification processes at an unprecedented scale. |
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==='''Land use management'''=== |
==='''Land use management'''=== |
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Main article: ''Land Use Management'' |
Main article: ''[[Land Use Management]]'' |
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<br /> |
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* Automating afforestation |
* Automating afforestation |
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== Background Readings == |
== Background Readings == |
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=== |
=== Key documents === |
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[https://www.ipcc.ch/srccl/ Special Report on Climate Change and Land — IPCC site] |
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*'''"Monitoring tropical forest carbon stocks and emissions using Planet satellite data" (2019)'''<ref>{{Cite journal|last=Csillik|first=Ovidiu|last2=Kumar|first2=Pramukta|last3=Mascaro|first3=Joseph|last4=O’Shea|first4=Tara|last5=Asner|first5=Gregory P.|date=2019-11-28|title=Monitoring tropical forest carbon stocks and emissions using Planet satellite data|url=http://dx.doi.org/10.1038/s41598-019-54386-6|journal=Scientific Reports|volume=9|issue=1|doi=10.1038/s41598-019-54386-6|issn=2045-2322}}</ref>: An example of carbon stock estimation from satellite imagery. |
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*'''"Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices" (2018)'''<ref>{{Cite journal|last=Nakalembe|first=Catherine|date=2018-02-10|title=Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices|url=http://dx.doi.org/10.1007/s11069-017-3106-x|journal=Natural Hazards|volume=91|issue=3|pages=837–862|doi=10.1007/s11069-017-3106-x|issn=0921-030X}}</ref>: A study of drought phenomena using remote sensing data. |
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*'''"Remote Sensing Northern Lake Methane Ebullition" (2020)'''<ref>{{Cite journal|last=Engram|first=M.|last2=Walter Anthony|first2=K. M.|last3=Sachs|first3=T.|last4=Kohnert|first4=K.|last5=Serafimovich|first5=A.|last6=Grosse|first6=G.|last7=Meyer|first7=F. J.|date=2020-05-11|title=Remote sensing northern lake methane ebullition|url=http://dx.doi.org/10.1038/s41558-020-0762-8|journal=Nature Climate Change|volume=10|issue=6|pages=511–517|doi=10.1038/s41558-020-0762-8|issn=1758-678X}}</ref>: A study relating methane emissions estimates from airplanes and satellite imagery. |
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== Online Courses and Course Materials == |
== Online Courses and Course Materials == |
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* [https://www.nature.org/en-us/ The Nature Conservancy] is a non-profit environmental organisation that has over one million members, and has protected more than 119,000,000 acres (48,000,000 ha) of land and thousands of miles of rivers worldwide |
* [https://www.nature.org/en-us/ The Nature Conservancy] is a non-profit environmental organisation that has over one million members, and has protected more than 119,000,000 acres (48,000,000 ha) of land and thousands of miles of rivers worldwide |
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* [https://www.iucn.org/ The International Union for Conservation of Nature] (IUCN) is an international organization working in the field of nature conservation and sustainable use of natural resources. |
* [https://www.iucn.org/ The International Union for Conservation of Nature] (IUCN) is an international organization working in the field of nature conservation and sustainable use of natural resources. |
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*[https://www.southpole.com/ SouthPole], develops and finance projects around the world to reduce carbon emissions and protect biodiversity |
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* SouthPole |
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*[https://www.goldstandard.org/ GoldStandard], is a third-party certification agency that ensures projects that reduced carbon emissions featured the highest levels of environmental integrity and also contributed to sustainable development |
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* GoldStandard |
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*[https://www.worldwildlife.org/ WWF] |
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* WWF |
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* World Bank |
*[https://www.worldbank.org/ World Bank] |
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*[https://www.1t.org/ 1t.org] |
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*[http://www.mangrovealliance.org/ Global Mangrove Alliance] |
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=== Major initiatives === |
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* [https://www.unenvironment.org/news-and-stories/press-release/new-un-decade-ecosystem-restoration-offers-unparalleled-opportunity UN Decade of Ecosystem Restoration] |
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== Libraries and Tools == |
== Libraries and Tools == |
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Some packages |
Some packages and tools that support machine learning-based forestry work are |
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*[https://www.globalforestwatch.org/ GlobalForestWatch], is a dynamic online forest monitoring and alert system that empowers people everywhere to better manage forests |
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*'''eo-learn''': A python package maintained by the European Space Agency, giving easy access to imagery from Sentinel satellites, as well as utilities for data processing, available [https://github.com/sentinel-hub/eo-learn here]. |
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*[https://www.globalmangrovewatch.org/ GlobalMangroveWatch], monitors to catalyse the action needed to protect and restore mangroves |
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*'''robosat''': A package maintained by mapbox, available [https://github.com/mapbox/robosat here]. |
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*[https://trase.earth/ Trase.Earth] provides a dynamic supply chain visualisations for land change drivers and commodities |
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*'''solaris''': A package from CosmiQ Works (SpaceNet Challenge), available [https://solaris.readthedocs.io/en/latest/ here]. |
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*[https://resourcetrade.earth/ Resourcetrade.Earth] features Chatham House’s extensive and authoritative database of international trade in natural resources, developed from United Nations data |
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*[http://www.openforis.org/tools/collect-earth.html Collect Earth] is a free, open source, and user-friendly tool using Google Earth Engine to visualize and analyze plots of land in order to assess deforestation and other forms of land-use-change |
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*[https://github.com/weecology/DeepForest DeepForest], is a python package for tree crown detection in airborne RGB imagery |
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*[https://github.com/ulaval-damas/tree-bark-classification BarkNet], is an open-source tree bark classification algorithm and dataset |
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== Data == |
== Data == |