Distribution and variation of forests in china from 2001 to 2011: A study based on remotely sensed data

Forests

Volumn 4, Issue 3, 2013, Pages 632-649

  Zhao, Xiang ^a   Xu, Peipei ^a   Zhou, Tao ^a   Li, Qing ^a,b   Wu, Donghai ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES   (China)

Author keywords

China forests; Distribution and variation; Forest management; Forests composition

Indexed keywords

CHARACTERISTIC CURVE; CHINA FORESTS; DISTRIBUTION AND VARIATION; MANAGEMENT APPLICATIONS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX TIME SERIES; REMOTELY SENSED DATA; TRAINING DATA SETS;

GRAPHIC METHODS; IMAGE RESOLUTION; PIXELS; RADIOMETERS; SATELLITE IMAGERY; STATISTICAL METHODS; TIME SERIES;

FORESTRY;

BIOSPHERE; CLIMATE MODELING; FOREST MANAGEMENT; GEOGRAPHICAL DISTRIBUTION; LAND COVER; MODIS; NDVI; REMOTE SENSING; SPATIAL RESOLUTION; TIME SERIES;

FOREST MANAGEMENT; IMAGE ANALYSIS; RADIOMETRY; SATELLITES; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 84888805948     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f4030632     Document Type: Article

References (52)

1. Food and Agriculture Organization (FAO). State of the World's Forests 2012; Food and Agriculture Organization of the United Nations: Rome, Italy, 2012.
2. Bonan, G.B. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science 2008, 320, 1444-1449.
3. Curran, L.M.; Trigg, S.N.; McDonald, A.K.; Astiani, D.; Hardiono, Y.M.; Siregar, P.; Caniago, I.; Kasischke, E. Lowland forest loss in protected areas of indonesian borneo. Science 2004, 303, 1000-1003.
4. Gorsevski, V.; Kasischke, E.; Dempewolf, J.; Loboda, T.; Grossmann, F. Analysis of the impacts of armed conflict on the Eastern Afromontane forest region on the South Sudan-Uganda border using multitemporal Landsat imagery. Remote Sens. Environ. 2012, 118, 10-20.
5. Achard, F.; Eva, H.D.; Stibig, H.-J.; Mayaux, P.; Gallego, J.; Richards, T.; Malingreau, J.-P. Determination of deforestation rates of the World's humid tropical forests. Science 2002, 297, 999-1002.
6. Verbesselt, J.; Robinson, A.; Stone, C.; Culvenor, D. Forecasting tree mortality using change metrics derived from MODIS satellite data. For. Ecol. Manag. 2009, 258, 1166-1173.
7. Hansen, M.C.; Roy, D.P.; Lindquist, E.; Adusei, B.; Justice, C.O.; Altstatt, A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sens. Environ. 2008, 112, 2495-2513.
8. Loveland, T.R.; Reed, B.C.; Brown, J.F.; Ohlen, D.O.; Zhu, Z.; Yang, L.; Merchant, J.W. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int. J. Remote Sens. 2000, 21, 1303-1330.
9. Hansen, M.C.; Defries, R.S.; Townshend, J.R.G.; Sohlberg, R. Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 2000, 21, 1331-1364.
10. Hansen, M.C.; Reed, B. A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products. Int. J. Remote Sens. 2000, 21, 1365-1373.
11. Bartholomé, E.; Belward, A.S. GLC2000: A new approach to global land cover mapping from Earth observation data. Int. J. Remote Sens. 2005, 26, 1959-1977.
12. Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H.; Woodcock, C.E.; Gopal, S.; Schneider, A.; Cooper, A.; et al. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 2002, 83, 287-302.
13. Friedl, M.A.; Sulla-Menashe, D.; Tan, B.; Schneider, A.; Ramankutty, N.; Sibley, A.; Huang, X. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sens. Environ. 2010, 114, 168-182.
14. Arino, O.; Gross, D.; Ranera, F.; Bourg, L.; Leroy, M.; Bicheron, P.; Latham, J.; di Gregorio, A.; Brockman, C.; Witt, R.; et al. GlobCover: ESA Service for Global Land Cover from MERIS. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, Barcelona, Spain, 23-28 July 2007; pp. 2412-2415.
15. Defourny, P.; Vancutsem, C.; Bicheron, P.; Brockmann, C.; Nino, F.; Schouten, L.; Leroy, M. GLOBCOVER: A 300 m Global Land Cover Product for 2005 Using Envisat MERIS Time Series. In Proceedings of the ISPRS Commission VII Mid-Term Symposium, Remote Sensing: From Pixels to Processes, Enschede, The Netherlands, 8-11 May 2006; pp. 8-11.
16. Yaqian, H.; Yanchen, B. A Consistency Analysis of MODIS MCD12Q1 and MERIS Globcover Land Cover Datasets over China. In Proceedings of 19th International Conference on Geoinformatics, Shanghai, China, 24-26 June 2011; pp. 1-6.
17. Stehman, S.V.; Olofsson, P.; Woodcock, C.E.; Herold, M.; Friedl, M.A. A global land-cover validation data set, II: Augmenting a stratified sampling design to estimate accuracy by region and land-cover class. Int. J. Remote Sens. 2012, 33, 6975-6993.
18. Kaptué Tchuenté, A.T.; Roujean, J.-L.; de Jong, S.M. Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale. Int. J. Appl. Earth Obs. Geoinf. 2011, 13, 207-219.
19. Herold, M.; Mayaux, P.; Woodcock, C.E.; Baccini, A.; Schmullius, C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sens. Environ. 2008, 112, 2538-2556.
20. Zhao, X.; Liang, S.; Liu, S.; Yuan, W.; Xiao, Z.; Liu, Q.; Cheng, J.; Zhang, X.; Tang, H.; Zhang, X.; et al. The Global Land Surface Satellite (GLASS) remote sensing data processing system and products. Remote Sens. 2013, 5, 2436-2450.
21. Liang, S.; Zhao, X.; Yuan, W.; Liu, S.; Cheng, X. A long-term Global Land Surface Satellite (GLASS) dataset for environmental studies. Int. J. Digit. Earth 2013, in press.
22. Kennedy, R.E.; Cohen, W.B.; Schroeder, T.A. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sens. Environ. 2007, 110, 370-386.
23. Kennedy, R.E.; Yang, Z.; Cohen, W.B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr-Temporal segmentation algorithms. Remote Sens. Environ. 2010, 114, 2897-2910.
24. Cohen, W.B.; Yang, Z.; Kennedy, R. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync-Tools for calibration and validation. Remote Sens. Environ. 2010, 114, 2911-2924.
25. Griffiths, P.; Kuemmerle, T.; Kennedy, R.E.; Abrudan, I.V.; Knorn, J.; Hostert, P. Using annual time-series of Landsat images to assess the effects of forest restitution in post-socialist Romania. Remote Sens. Environ. 2012, 118, 199-214.
26. Kennedy, R.E.; Townsend, P.A.; Gross, J.E.; Cohen, W.B.; Bolstad, P.; Wang, Y.Q.; Adams, P. Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sens. Environ. 2009, 113, 1382-1396.
27. Kennedy, R.E.; Yang, Z.; Cohen, W.B.; Pfaff, E.; Braaten, J.; Nelson, P. Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sens. Environ. 2012, 122, 117-133.
28. Pflugmacher, D.; Cohen, W.B.; Kennedy, E.R. Using Landsat-derived disturbance history (1972-2010) to predict current forest structure. Remote Sens. Environ. 2012, 122, 146-165.
29. Pflugmacher, D.; Krankina, O.N.; Cohen, W.B.; Friedl, M.A.; Sulla-Menashe, D.; Kennedy, R.E.; Nelson, P.; Loboda, T.V.; Kuemmerle, T.; Dyukarev, E.; et al. Comparison and assessment of coarse resolution land cover maps for Northern Eurasia. Remote Sens. Environ. 2011, 115, 3539-3553.
30. Meigs, G.W.; Kennedy, R.E.; Cohen, W.B. A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests. Remote Sens. Environ. 2011, 115, 3707-3718.
31. Zhu, Z.; Woodcock, C.E.; Olofsson, P. Continuous monitoring of forest disturbance using all available Landsat imagery. Remote Sens. Environ. 2012, 122, 75-91.
32. Xin, Q.; Olofsson, P.; Zhu, Z.; Tan, B.; Woodcock, C.E. Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data. Remote Sens. Environ. 2013, 135, 234-247.
33. Rodriguez-Galiano, V.F.; Chica-Olmo, M.; Abarca-Hernandez, F.; Atkinson, P.M.; Jeganathan, C. Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture. Remote Sens. Environ. 2012, 121, 93-107.
34. Schapire, R.E.; Freund, Y.; Bartlett, P.L.; Lee, W.S. Boosting the margin: A new explanation for the effectiveness of voting methods. Ann. Stat. 1998, 26, 1651-1686.
35. Huete, A.; Didan, K.; Miura, T.; Rodriguez, E.P.; Gao, X.; Ferreira, L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 2002, 83, 195-213.
36. Loveland, T.R.; Belward, A.S. The IGBP-DIS global 1 km land cover data set, DISCover: First results. Int. J. Remote Sens. 1997, 18, 3289-3295.
37. Lotsch, A.; Tian, Y.; Friedl, M.A.; Myneni, R.B. Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: Classification methods and sensitivities to errors. Int. J. Remote Sens. 2003, 24, 1997-2016.
38. Myneni, R.B.; Hoffman, S.; Knyazikhin, Y.; Privette, J.L.; Glassy, J.; Tian, Y.; Wang, Y.; Song, X.; Zhang, Y.; Smith, G.R.; et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 2002, 83, 214-231.
39. Running, S.W.; Loveland, T.R.; Pierce, L.L.; Nemani, R.R.; Hunt, E.R., Jr. A remote sensing based vegetation classification logic for global land cover analysis. Remote Sens. Environ. 1995, 51, 39-48.
40. Bonan, G.B.; Levis, S.; Kergoat, L.; Oleson, K.W. Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models. Glob. Biogeochem. Cycles 2002, 16, 1-23.
41. Justice, C.O.; Townshend, J.R.G.; Vermote, E.F.; Masuoka, E.; Wolfe, R.E.; Saleous, N.; Roy, D.P.; Morisette, J.T. An overview of MODIS Land data processing and product status. Remote Sens. Environ. 2002, 83, 3-15.
42. Omuto, C.T. A new approach for using time-series remote-sensing images to detect changes in vegetation cover and composition in drylands: A case study of eastern Kenya. Int. J. Remote Sens. 2011, 32, 6025-6045.
43. Pan, Y.; Li, L.; Zhang, J.; Liang, S.; Zhu, X.; Sulla-Menashe, D. Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index. Remote Sens. Environ. 2012, 119, 232-242.
44. Sakamoto, T.; Wardlow, B.D.; Gitelson, A.A.; Verma, S.B.; Suyker, A.E.; Arkebauer, T.J. A two-step filtering approach for detecting maize and soybean phenology with time-series MODIS data. Remote Sens. Environ. 2010, 114, 2146-2159.
45. Schowengerdt, R.A. Remote Sensing: Models and Methods for Image Processing, 3rd ed.; Academic Press: Burlington, MA, USA, 2007; pp. 144-145.
46. ENVI Reference Guide Version 4.7 August, 2009 Edition. ITT Visual Information Solutions. Available online: http://www.exelisvis.com/portals/0/pdfs/envi/Reference_Guide.pdf (accessed on 26 May 2013).
47. Zhang, X.; Friedl, M.A.; Schaaf, C.B.; Strahler, A.H.; Hodges, J.C.F.; Gao, F.; Reed, B.C.; Huete, A. Monitoring vegetation phenology using MODIS. Remote Sens. Environ. 2003, 84, 471-475.
48. Bontemps, S.; Defourny, P.; Bogaert, E.V.; Arino, O.; Kalogirou, V.; Perez, J.R. GLOBCOVER 2009 Products Description and Validation Report; Technical Report for ESA GlobCover project: UCLouvain & ESA Team, 2011; p. 53. Available online: http://due.esrin.esa.int/globcover/ LandCover2009/GLOBCOVER2009_Validation_Report_2.2.pdf (accessed on 26 July 2013).
49. Pierre, D.; Leon, S.; Sergey, B.; Sophie, B.; Peter, C.; Allard, D.W.; Carlos, D.B.; Bruno, G.; Chandra, G.; Valerie, G.; et al. Accuracy Assessment of a 300 m Global Land Cover Map: The GlobCover Experience. In Proceedings of the 33rd International Symposium on Remote Sensing of Environment, Stresa, Italy, 4-9 May 2009.
50. Congalton, R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46.
51. Song, C.; Zhang, Y. Forest Cover in China from 1949 to 2006. In Reforesting Landscapes; Nagendra, H., Southworth, J., Eds.; Springer Netherlands: Dordrecht, The Netherlands, 2010; Volume 10, pp. 341-356.
52. Xu, J.C. China's new forests aren't as green as they seem. Nature 2011, 477, 371.