Long-term (1990–2019) monitoring of forest cover changes in the humid tropics

Science advances - Tập 7 Số 10 - 2021
Christelle Vancutsem1, Frédéric Achard1, Jean‐François Pekel1, Ghislain Vieilledent2,3,1, Silvia Carboni4, Dario Simonetti1, Javier Gallego1, Luiz E. O. C. Aragão5, Robert Nasi6
1European Commission, Joint Research Centre, Via E. Fermi 2749–TP 261, I-21027 Ispra (VA), Italy.
2AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
3CIRAD, UMR AMAP, F-34398 Montpellier, France
4GFT Italia Srl, Via Sile 18, Milan, Italy.
5National Institute for Space Research (INPE), São José dos Campos, Brazil
6Center for International Forestry Research (CIFOR), Bogor, Indonesia

Tóm tắt

Three decades of satellite observations provide unprecedented information about forest change trajectories in the humid tropics.

Từ khóa


Tài liệu tham khảo

10.1038/nature10425

10.1038/s41559-018-0490-x

10.1111/conl.12120

10.1038/nature07276

10.1186/1472-6785-11-29

10.1126/science.aac8083

10.1038/nclimate3227

10.1038/nature18326

10.1073/pnas.1804775115

10.1038/s41586-018-0300-2

10.1016/j.tree.2009.06.009

10.1038/nature14283

10.1126/science.aam5962

10.1038/ncomms14855

10.1038/s41467-017-01997-0

10.1038/ncomms6037

10.1088/1748-9326/aa8a5c

10.1038/s41598-017-14727-9

10.1038/srep41613

10.1073/pnas.1905315116

10.1126/sciadv.1600821

10.1016/j.rse.2017.06.031

10.1126/science.320.5879.1011a

10.1126/science.1244693

10.1016/j.rse.2014.08.017

10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2

10.1016/j.rse.2014.02.015

10.1002/eap.1628

10.1038/s41467-017-02771-y

10.1038/srep33130

10.1016/j.foreco.2015.06.014

10.1088/1748-9326/10/7/074002

10.1126/science.1248753

10.1126/science.aat1203

A. Sommer, Attempt at an assessment of the world’s tropical forests. Unasylva 28, 112–113 (1976).

10.2307/3451487

T. C. Whitmore An Introduction to Tropical Moist Forests (Oxford Univ. Press 1990).

10.1126/science.105.2727.367

FAO Global Ecological Zones for FAO forest reporting: 2010 Update (UN Food and Agriculture Organization 2012); www.fao.org/geonetwork/srv/en/main.home.

10.1016/j.rse.2012.01.010

10.1109/TGRS.2004.840720

10.14358/PERS.72.10.1155

10.1016/j.rse.2010.12.010

10.1038/nature20584

D. A. Keim F. Mansmann J. Schneidewind J. Thomas H. Ziegler Visual Data Mining 76–90 (Singer 2008); http://kops.uni-konstanz.de/bitstream/handle/123456789/5631/Visual_Analytics_Scope_and_Challenges.pdf.

10.1109/TSMCA.2002.802746

10.1016/j.rse.2009.08.011

10.1016/j.rse.2011.08.027

10.1088/1748-9326/7/3/034010

10.1016/j.rse.2013.04.022

10.1016/j.rse.2014.11.027

10.1016/j.jag.2015.07.005

10.1016/j.jag.2017.07.013

10.1016/j.rse.2013.10.008

10.1145/965139.807361

10.5751/ES-05443-180220

FAO Global Administrative Unit Layers (GAUL) ; www.fao.org/geonetwork/srv/en/main.home.

10.3390/rs12111790

10.1080/10691898.2005.11910638

R. 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).

N. Harris E. Goldman S. Gibbes “Spatial database of planted trees (SDPT) version 1.0” (Technical Note World Resources Institute 2019).

10.1371/journal.pone.0159668

10.3390/rs10101669

H. 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).

10.1017/S0266467498000583

R. G. Congalton K. Green Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (Lewis Publishers 1999) p. 137.

10.1080/01431160903131000

P. 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.

10.1080/01621459.1984.10477095

F. J. Gallego J. Delincé The European land use and cover area-frame statistical survey (LUCAS) in Agricultural Survey Methods R. Benedetti M. Bee G. Espa F. Piersimoni Eds. (John Wiley & Sons 2010) chap. 10. pp. 151–168.

R. Benedetti F. Piersimoni P. Postiglione Sampling Spatial Units for Agricultural Surveys (Springer 2015).

W. G. Cochran Sampling Techniques (John Wiley & Sons ed. 3 1977).