Discriminating the invasive species, 'lantana' using Vegetation indices

Journal of the Indian Society of Remote Sensing

Volumn 37, Issue 2, 2009, Pages 275-290

  Kandwal, Rashmi ^a   Jeganathan, C ^b   Tolpekin, Valentyn ^c   Kushwaha, S P S ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b INDIAN INSTITUTE OF REMOTE SENSING   (India)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Invasive species; Landsat; Lantana; Remote sensing; Vegetation index

Indexed keywords

BIOLOGICAL CONTROL; COST-BENEFIT ANALYSIS; ECOLOGICAL IMPACT; FOREST CANOPY; INVASIVE SPECIES; LANDSAT; NATIVE SPECIES; REMOTE SENSING; RESTORATION ECOLOGY; SATELLITE DATA; SHRUB; VEGETATION INDEX;

ASIA; EURASIA; INDIA; SOUTH ASIA;

LANTANA; LANTANA CAMARA;

EID: 70350578422     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-009-0027-5     Document Type: Article

References (35)

1. ARMC (2000) Weeds of national significance, Lantana Camara, National Weeds Strategy Executive Committee, Agriculture and Resource Management Council of Australia and New Zealand, Australian and New Zealand Environment and Conservation Council and Forestry Ministers Launceston, available online at:http://www.nrw.qld.gov.au/pests/weeds/wons/pdf/Lantana_nsplan.pdf (Accessed, 04 August 2005).
2. Asner GP and Vitousek PM (2005) Remote analysis of biological invasion and biogeochemical change. Proceedings of The National Academy of Sciences of The United States of America 102: 4383-4386.
3. Bannari A, Morin D, Bonn F and Huete AR (1995) A Review of Vegetation Indices. Remote Sensing Reviews 13:95-120.
4. Chandrasekhar MB, Saran S, Raju PLN and Roy PS (2005) Forest Canopy Density Stratification: How relevant is Biophysical Spectral Response Modelling Approach? Geocarto International 20(1):15-21.
5. Clinton NJ and Stuart LP (2003) How big is the global weed patch? Annals of Missouri Botanical Garden 90:172-178.
6. Cohen WB and Goward SN (2004) Landsat's role in ecological applications of remote sensing. BioScience 54: 535-545.
7. David F (2001) Vegetation Index Definitions. CRESS Project, UMCP Geography.
8. Drake JA, Mooney HA, Castri FD, Groves RH, Kruger, FJ, Aejmamek M and Williamson M (1989) Biological invasions: a global perspective. John Wiley and Sons: Chichester.
9. FSI (Report) (2005) Forest Survey of India, Dehra Dun.
10. Gilabert MA, Gonzales Piqueras J, Garcia Haro FJ and Melia J (2002) A generalized soil adjusted vegetation Index. Remote Sensing of Environment 82:303-310.
11. Govaerts Y, Verstraete MM, Pinty B and Gobron N (1999) Designing optimal spectral indices: A feasibility and proof of concept study. International J of Remote Sensing 20(9):1853-1873.
12. Huete AR, Jackson RD and Post DF (1985) Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment 17:37-53.
13. Huete AR (1988) A Soil Adjusted Vegetation Index (SAVI). Remote Sensing of Environment 25:295-309.
14. Holm LG, Plucknett DL, Pancho JV and Herberger JP (1977) The World's Worst Weeds: Distribution and Biology, Univ. Press of Hawaii: Honolulu.
15. Jenson JR (1996) Introductory Digital Image Processing, New Jersey: Prentice Hall.
16. Joshi C, Leeuw JD and Duren ICV (2004) Remote sensing and GIS applications for mapping and spatial modelling of invasive species. In: ISPRS 2004: Proceedings of the XXth ISPRS congress: Geo imagery bridging continents, held at Istanbul, Turkey. Comm. VII, 669-677.
17. Leprieur C, Verstraete MM and Pinty B (1994) Evaluation of the performance of various vegetation indices to retrieve vegetation cover from AVHRR data. Remote Sensing Reviews 10:265-284.
18. Liu HQ and Huete A (1995) A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geosciences and Remote Sensing 33(2):457-465.
19. Lillesand TM and Kiefer RW (2000) Remote sensing and image interpretation, fourth edition, John Wiley and Sons, Inc, New York.
20. Lowe S, Browne M and Boudjelas S (2001) 100 of the world's worst invasive alien species. Invasive species Specialist Group, IUCN/SSC GISP.
21. Murali KS and Setty RS (2001) Effect of weeds Lantana Camara and Chromelina Odorata growth on the species diversity, regeneration and stem density of tree and shrub layer in BRT sanctuary. Current Science 80(5):675-678.
22. Peddle DR, Hall FG and Ledrew EF (1999) Spectral mixture analysis and geometricoptical reflectance modelling of boreal forest biophysical structure. Remote Sensing of Environment 67:288-297.
23. Pinty B and Verstraete MM (1991) GEMI: A Non-Linear Index to Monitor Global Vegetation from Satellites. Plant Ecology 101:15-20.
24. Ramachandra TV and Uttam Kumar (2004) Watershed management using GRDSS. GIS Development 8(8):20-26.
25. Rawat GS and Bhainsora NS (1999) Woody vegetation of Shiwaliks and outer Himalaya in north western India. Tropical Ecology 40(1):119-128.
26. Rikimaru A (1999) The concept of FCD Mapping Model and Semi Expert System. FCD Mapper User's Guide, International Tropical Timber Organization and Japan Overseas Forestry Consultants Association, 90.
27. Roy DP, Kennedy P and Folving S (1997) Combination of the normalized Difference Vegetation Index and surface temperature for regional scale European forest cover mapping using AVHRR data. International J of Remote Sensing 18(5):1189-1195.
28. Roy PS, Miyatake S and Rikimaru A (1997) Biophysical Spectral Response Modelling Approach for Forest Density Stratification. FCD Mapper User's Guide.
29. Sharma GP, Singh JS and Raghubansi AS (2005) Plant invasions: Emerging trends and future implications. Current Science 88(5):726-734.
30. Sivaramakrishan VR (1976) Occurrence of Lantana lace bug, Teleonemia scrupulosa Stal. (Hemiptera: Tinigidae) in South India. Indian Forester 102(9):620-622.
31. Terrill RW (1994) A FAQ on Vegetation in Remote Sensing. California Institute of Technology, Available online at: http://kepler.gps.caltech.edu/%20pub/Terrill/rsvegfaq.txt (Accessed 04 August 2005).
32. Thakur ML, Ahmed M and Thakur RK (1992) Lantana weed (Lantana camara var. aculeata Linn) and its possible management through natural insect pests in India. Indian Forester 118, 7.
33. Ustin SL, DiPietro D, Olmstead K, Underwood E and Scheer GJ (2002) Hyperspectral Remote Sensing for Invasive Species Detection and Mapping, IEEE, 1658-1660.
34. Verstraete MM and Pinty B (1996) Designing optimal spectral indices for remote sensing applications. IEEE Transactions on Geoscience and Remote Sensing 34:1254-1265.
35. Wilcove DS and Chen LY (1998) Management costs for endangered species. Conservation Biology 12:1405-1407.