Comparison of MODIS vegetation continuous field - based forest density maps with IRS-LISS III derived maps

Journal of the Indian Society of Remote Sensing

Volumn 37, Issue 4, 2009, Pages 539-549

  Jeganathan, C ^a   Dadhwal, V K ^b   Gupta, Kiran ^c   Raju, P L N ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b INDIAN INSTITUTE OF REMOTE SENSING   (India)

^c NONE   (India)

Author keywords

Accuracy; Forest density; Kappa; Map comparison; MODIS Vegetation Continuous Field VCF; Spatial match

Indexed keywords

CANOPY ARCHITECTURE; COMPARATIVE STUDY; FOREST COVER; IRS (SATELLITE); LISS; MODIS; TERRAIN; VEGETATION MAPPING;

INDIA; MADHYA PRADESH; UTTARAKHAND;

EID: 77953338973     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-009-0050-6     Document Type: Article

References (27)

1. Brown JF, Loveland TR, Ohlen DO and Zhu Z (1999) The global land-cover characteristics database: the user's perspective. Photogrammetric Enginnering and Remote Sensing 65: 1069-1074.
2. Cohen J (1960) A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20, 37-46, Referred Online at: http://en.wikipedia.org/wiki/Cohen%27s_kappa_statistic (accessed 27 May 2007).
3. Congalton RG and Green K (1999) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (Lewis, Boca Raton).
4. Defries R, Matthew H, Marc S, Ralph D, Robert S and John T (1997) Subpixel forest cover in central Africa from multisensor, multitemporal data. Remote Sensing of Environment 60(3): 228-246.
5. Foody GM (2002) Status of land cover classification accuracy assessment. Remote Sensing of Environment 80(1): 185-201.
6. FSI (2005) State of Forest Report. Forest Survey of India. Ministry of Environment and Forest, Dehradun.
7. Giri C, Zhiliang Z and Bradley R (2005) A Comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote Sensing Environment 94(1): 123-132.
8. Gupta RK, Prasad S and Krishna Rao PV (1998) Evaluation of spatial upscaling algorithms for land cover types. Advances in Space Research 22(5): 625-628.
9. Hagen A (2002) Comparison of maps containing nominal data. Technical report. Research Institute for Knowledge Systems (RIVM), Department for Environmental Information Systems. Maastricht, The Netherlands.
10. Hagen A (2003) Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science 17(3): 235-249.
11. Hansen MC, Defries RS, Townshed JRG, Marufu L and Sholberg L (2002) Development of MODIS tree cover validation data set for Western Province, Zambia. Remote Sensing Environment 83: 320-335.
12. Janssen LLF and Vanderwel FJM (1994) Accuracy assessment of satellite derived land-cover data: A review. Photogrammetric Engineering and Remote Sensing 60(4): 419-426.
13. Justice C, Belward A, Morisette J, Lewis P, Privette J and Baret F (2000) Developments in the 'validation' of satellite sensor products for the study of land surface. International Journal of Remote Sensing 21(17): 3383-3390.
14. Mayayux P, Bartholome E, Fritz S and Belward A (2004) A new land-cover map of Africa for the year 2000. Journal of Biogeography 31: 861-877.
15. Metternicht G (1999) Change detection assessment using fuzzy sets and remote sensed data: an application of topographic map revision. ISPRS Journal of Photogrammetry and Remote Sensing 54: 221-233.
16. Monserud RA and Leemans R (1992) Comparing global vegetation maps with the Kappa statistic. Ecological Modelling 62: 275-293.
17. Pontius Jr RG (2000) Quantification error versus location error in comparison of categorical maps. Photogrammetry Engineering and Remote Sensing 66: 1011-1016.
18. Pontius Jr RG and Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich Watershed, Massachusetts, USA. Agriculture, Ecosystems and Environment 85: 239-248.
19. Pontius Jr RG (2002) Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering and Remote Sensing 68(10): 1041-1049.
20. Pontius Jr RG, Huffaker D and Denman K (2004) Useful techniques of validation for spatially explicit land-change models. Ecological Modelling 179(4): 445-461.
21. Power C, Simms A and White R (2001) Hierarchical fuzzy pattern matching for the regional comparison of land use maps. International Journal of Geographical Information Science 15: 77-100.
22. Schneider LC and Pontius Jr. RG (2001) Modeling land-use change in the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems and Environment 85: 83-94.
23. Schwarz M, Zimmermann NE and Waser LT (2004) MODIS based continuous fields of tree cover using generalized linear models. Geoscience and Remote Sensing Symposium, 2004. IGARSS apos; 04. Proceedings. IEEE International 4: 2377-2380.
24. Smits PC, Dellepiane SG and Schowengerdt RA (1999) Quality assessment of image classification algorithms for land-cover mapping: a review and proposals for a cost-based approach. International Journal of Remote Sensing 20: 1461-1486.
25. Visser H and De Nijs T (2006) The Map comparison Kit. Environmental Modelling and Software 21: 346-358.
26. White MA, Shaw JD and Ramsey RD (2005) Accuracy assessment of vegetation continuous field tree cover product using 3954 ground plots in the south-western USA. International Journal of Remote Sensing 26(12): 2699-2704.
27. Zhenkul MA and Roland LR (1995) Tau coefficients for accuracy assessment of classification of remote sensing data. Photogrammetric Engineering and Remote Sensing 61(4): 435-439.