About: How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в березні 2017 (uk) article scientifique publié en 2017 (fr) im März 2017 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58400938-63306ACB-D1F4-4C4B-B509-2D2FCD85F605
publication date	2017-03-26 00:00:00Z (xsd:dateTime)
cites work	wds:Q58400938-0267B74D-E5AE-4D6C-863B-5736F9EA1991 wds:Q58400938-0762353A-6C86-4707-875D-1ED852AA260F wds:Q58400938-16F2878B-DDA5-4760-9898-C1BDF0F162F9 wds:Q58400938-2BD999BA-775B-427B-9183-045F55D595B4 wds:Q58400938-393FA8B3-A6A9-457F-8F39-EAD93E77C78D wds:Q58400938-5CBBC146-4412-4BE0-BC07-E8E21D957739 wds:Q58400938-8C9BC21F-FA65-4990-A529-E2CA5A9E0163 wds:Q58400938-8F9B7057-4959-42A1-9DBF-09FF92633237 wds:Q58400938-92AD6324-5C71-4E19-A06D-9422D1C2D833 wds:Q58400938-94B5A789-D1BA-4B5F-95DC-583179ABCA40 wds:Q58400938-A347E15E-48AB-42E4-BBA9-250B7AFA9D56 wds:Q58400938-A4809D3B-B0C3-4D0F-85CC-E5C158FD8E17 wds:Q58400938-BEFD6996-CEAA-42FA-B7EA-0A24A0FD1E7F wds:Q58400938-C32B408E-5059-4ABC-901C-367D2AB6B6F2 wds:Q58400938-C59D1486-88E3-4192-8B4B-F427B76FFD55 wds:Q58400938-D25F87C6-5AA2-4D9A-8298-71A1328B4394 wds:Q58400938-F392E687-3C1D-4913-81FA-8D46D7265764 wds:Q58400938-F8814237-362A-4146-BBEE-DD201CFA9BF8
cites work	Bringing an ecological view of change to Landsat-based remote sensing Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests Climate Change and Forest Disturbances Good practices for estimating area and assessing accuracy of land change Opening the archive: How free data has enabled the science and monitoring promise of Landsat High-resolution global maps of 21st-century forest cover change A Landsat Surface Reflectance Dataset for North America, 1990–2000 Disturbance and landscape dynamics in a changing world Global satellite monitoring of climate-induced vegetation disturbances. Increasing forest disturbances in Europe and their impact on carbon storage. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data United States Forest Disturbance Trends Observed Using Landsat Time Series Monitoring gradual ecosystem change using Landsat time series analyses: Case studies in selected forest and rangeland ecosystems Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda Forest Monitoring Using Landsat Time Series Data: A Review Regional dynamics of forest canopy change and underlying causal processes in the contiguous U.S
author name string	wds:Q58400938-08596CF4-5E1A-4B92-9710-A8021DE398EF wds:Q58400938-1C20F7FA-F72F-41C5-9534-83B79FFCD1D8 wds:Q58400938-3BD3A986-9191-42FC-AD29-F8F353471CEA wds:Q58400938-4A25B44D-1E8A-4CE5-82D3-61B59B4A59D8 wds:Q58400938-6E0E5805-B31B-4134-B96E-58E0235B9FFA wds:Q58400938-79B5E1D1-F961-4D3C-8B23-EC58F3AC2883 wds:Q58400938-B2080C9C-5D4B-4974-9472-9215ACA7482D wds:Q58400938-D1B130F4-15D9-481B-B9CB-2116CBA83CEF wds:Q58400938-DA5C4472-C929-46FA-B16E-C6E749D730A7 wds:Q58400938-ED57C536-1D68-4FCC-85C1-663BFE513AF7 wds:Q58400938-F73CB334-BB33-44D6-8227-C84555C61A08 wds:Q58400938-FA17F188-7A30-4539-B352-D99554F14A56
author name string	M. Hughes Limin Yang Robert Kennedy Zhiqiang Yang Sean Healey C. Brewer Todd Schroeder Warren Cohen Gretchen Moisen Thomas Loveland Chengqaun Huang Evan Brooks
rdfs:label	How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (en) How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (nl)
skos:prefLabel	How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (en) How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (nl)
name	How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (en) How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (nl)
author	wds:Q58400938-0273250F-4250-4550-9B37-BCB34F406083 wds:Q58400938-506A2EEC-D43D-4E6C-BBED-B8F108210408 wds:Q58400938-648CDEDB-8028-4DD1-9112-6319819696D0 wds:Q58400938-A061E3E6-A418-49A7-BC85-4291F26E5A0A wds:Q58400938-C1CCCBEB-E5F3-47F7-AD0F-95B536B70AA3
author	Curtis E. Woodcock Stephen V. Stehman Noel Gorelick James Vogelmann Zhe Zhu
title	wds:Q58400938-BEE44B8E-EC7C-4821-84B5-555761B3CEE3
title	How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? (en)
page(s)	wds:Q58400938-577BA68A-B4DD-4A1E-9582-F0E99408EBBB
page(s)	98
instance of	wds:Q58400938-14C2EA57-36E1-4D57-9300-6E85C8AC333F
instance of	scholarly article
main subject	wds:Q58400938-C5604627-09BE-4306-8389-253E462142EB
main subject	forest disturbance
published in	wds:Q58400938-10335074-E1ED-43AF-8A15-36B54A8E1CA9
published in	Forests
issue	wds:Q58400938-44C8072B-F7F2-4677-82CC-6AC053684555
volume	wds:Q58400938-B88764B6-EF17-4692-931D-D4FE2834CAD6
issue	4
volume	8
DOI	wds:Q58400938-031ECCAB-C095-4518-B100-31A52E764F5F
DOI	http://dx.doi.org/10.3390/F8040098

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