Reference health
Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
63/63 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 63 checked references that resolve
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Policy Options for the World's Primary Forests in Multilateral Environmental Agreements
resolves10.1038/nclimate3227
The key role of forests in meeting climate targets requires science for credible mitigation
resolves10.1038/nature18326
Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation
resolves10.1073/pnas.1804775115
Small room for compromise between oil palm cultivation and primate conservation in Africa
resolves10.1126/science.aam5962
Tropical forests are a net carbon source based on aboveground measurements of gain and loss
resolves10.1038/ncomms14855
High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle
resolves10.1038/s41467-017-01997-0
Long-term carbon sink in Borneo’s forests halted by drought and vulnerable to edge effects
resolves10.1088/1748-9326/aa8a5c
Recovery time and state change of terrestrial carbon cycle after disturbance
resolves10.1038/s41598-017-14727-9
Recent loss of closed forests is associated with Ebola virus disease outbreaks
resolves10.1038/srep41613
The nexus between forest fragmentation in Africa and Ebola virus disease outbreaks
resolves10.1073/pnas.1905315116
Amazon deforestation drives malaria transmission, and malaria burden reduces forest clearing
resolves10.1126/sciadv.1600821
The last frontiers of wilderness: Tracking loss of intact forest landscapes from 2000 to 2013
resolves10.1016/j.rse.2017.06.031
Google Earth Engine: Planetary-scale geospatial analysis for everyone
resolves10.1016/j.rse.2014.02.015
Good practices for estimating area and assessing accuracy of land change
resolves10.1002/eap.1628
Climatic and anthropogenic drivers of northern Amazon fires during the 2015–2016 El Niño event
resolves10.1038/s41467-017-02771-y
21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions
resolves10.1038/srep33130
Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016
resolves10.1016/j.foreco.2015.06.014
Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015
resolves10.1088/1748-9326/10/7/074002
Aboveground carbon loss in natural and managed tropical forests from 2000 to 2012
resolves10.1126/science.1248753
Comment on “High-resolution global maps of 21st-century forest cover change”
resolves10.1126/science.105.2727.367
Determination of World Plant Formations From Simple Climatic Data
resolves10.1016/j.rse.2012.01.010
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
resolves10.1016/j.rse.2010.12.010
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
resolves10.1038/nature20584
High-resolution mapping of global surface water and its long-term changes
resolves10.1109/TSMCA.2002.802746
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
resolves10.1016/j.rse.2009.08.011
Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
resolves10.1016/j.rse.2011.08.027
Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data
resolves10.1088/1748-9326/7/3/034010
Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010
resolves10.1016/j.rse.2013.04.022
Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
resolves10.1016/j.rse.2014.11.027
Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive
resolves10.1016/j.jag.2015.07.005
Long-term deforestation dynamics in the Brazilian Amazon—Uncovering historic frontier development along the Cuiabá–Santarém highway
resolves10.1016/j.jag.2017.07.013
Updating Landsat time series of surface-reflectance composites and forest change products with new observations
resolves10.1016/j.rse.2013.10.008
A near real-time water surface detection method based on HSV transformation of MODIS multi-spectral time series data
resolves10.5751/ES-05443-180220
An Operational Framework for Defining and Monitoring Forest Degradation
resolves10.3390/rs12111790
An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting
resolves10.1080/10691898.2005.11910638
Confidence Intervals for the Mean of a Log-Normal Distribution
resolves10.1371/journal.pone.0159668
The Impacts of Oil Palm on Recent Deforestation and Biodiversity Loss
resolves10.1017/S0266467498000583
Diversity, composition and structure of a tropical semideciduous forest in the Chiquitanía region of Santa Cruz, Bolivia
resolves10.1080/01621459.1984.10477095
An Investigation of Some Estimators of Variance for Systematic Sampling
The 9 references without a DOI — listed, not checked
no DOI — not checkedA. Sommer, Attempt at an assessment of the world’s tropical forests. Unasylva 28, 112–113 (1976).
no DOI — not checkedT. C. Whitmore An Introduction to Tropical Moist Forests (Oxford Univ. Press 1990).
no DOI — not checkedFAO Global Ecological Zones for FAO forest reporting: 2010 Update (UN Food and Agriculture Organization 2012); www.fao.org/geonetwork/srv/en/main.home.
no DOI — not checkedFAO Global Administrative Unit Layers (GAUL) ; www.fao.org/geonetwork/srv/en/main.home.
no DOI — not checkedR. Petersen E. D. Goldman N. Harris S. Sargent D. Aksenov A. Manisha E. Esipova V. Shevade T. Loboda N. Kuksina I. Kurakina “Mapping tree plantations with multispectral imagery: Preliminary results for seven tropical countries” (Technical Note World Resources Institute 2016).
no DOI — not checkedN. Harris E. Goldman S. Gibbes “Spatial database of planted trees (SDPT) version 1.0” (Technical Note World Resources Institute 2019).
no DOI — not checkedH. D. Eva E. E. de Miranda C. M. Di Bella V. Gond O. Huber M. Sgrenzaroli S. Jones A. Countinho A. Dorado M. Guimaraes C. Elvidge F. Achard A. S. Belward E. Bartholome A. Baraldi G. De Grandi P. Vogt S. Fritz A. Hartley “A vegetation map of South America” (Report number EUR 20159 EN European Commission Technical Report 2002).
no DOI — not checkedP. Defourny L. Schouten S. Bartalev S. Bontemps P. Caccetta A. J. W. de Wit C. Di Bella B. Gérard C. Giri V. Gond G. W. Hazeu A. Heinimann M. Herold J. Knoops G. Jaffrain R. Latifovic H. Lin P. Mayaux C. A. Mücher A. Nonguierma H. J. Stibig E. Van Bogaert C. Vancutsem P. Bicheron M. Leroy O. Arino Accuracy assessment of a 300 m global land cover map: The GlobCover experience in 33rd International Symposium on Remote Sensing of Environment: Sustaining the Millennium Development Goals (2009) pp. 1–5.
no DOI — not checkedW. G. Cochran Sampling Techniques (John Wiley & Sons ed. 3 1977).
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