Forest rehabilitation need index (frni) for tropical areas: Concepts and derivation using satellite data and gis

Geocarto International

Volumn 11, Issue 2, 1996, Pages 43-53

  Apan, Armando A ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARC/INFO; FOREST REHABILITATION; FRNI; GIS; LANDSAT TM; NDVI; THEMATIC MAP;

PHILIPPINES, MINDORO;

EID: 0030449639     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049609354533     Document Type: Article

References (35)

1. Ahern, F., and Sirois, J., 1989. Reflectance Enhancements for the Thematic Mapper:An Efficient Way to Produce Images of Consistently High Quality. Photogrammetric Engineering and Remote Sensing, 55(1):61–67.
2. Allied Geographical Section. 1994. Terrain Study No. 96:Mindoro Province (Philippine Series), (World War II Document), Southwest Pacific Area.
3. Apan, A., and Peterson, J., 1994b. Spectral Discrimination of Forest Plantations in Mindoro, Philippines Using Landsat TM Data. Asian-Pacific Remote Sensing Journal, 7(1):41–48.
4. Apan, A., and Peterson, J., Land Cover Mapping for Tropical Reforestation Planning Using Landsat TM Data:The Case of Mindoro, Philippines. Proceedings of the Seventh Australasian Remote Sensing Conference. Melbourne, Australia. pp. 9–14.
5. Apan, A., 1992. Planning Process for the Reforestation of Watershed Areas:The Case of Maasin Watershed, Iloilo Province, Philippines, Bangkok, Thailand:Asian Institute of Technology. Master's Thesis
6. Benson, A., and DeGloria, S., 1985. Interpretation of Landsat-4 Thematic Mapper and Multispectral Scanner Data for Forest Surveys. Photogrammetric Engineering and Remote Sensing, 51(9):1281–1289.
7. Crippen, R., 1990. Calculating the Vegetation Index Faster. Remote Sensing of the Environment, 34:71–73.
8. DENR. 1990. Land, Forests, and Mineral Resources Siluationer, Quezon City, Philippines:Department of Environment and Natural Resources.
9. DENR Memorandum of USEC Victor O. Ramos, 19 November 1990, Q.C., Philippines.
10. Eastman, J., 1994. “ IDRISI:Grid-Based Geographic Information Analysis System. Version 4.1. ”. In Clark University Graduate School of Geography, Worcester, MA
11. Environmental Systems Research Institute, Inc. (ESRI). 1991a. ARC/INFO Data Model, Concepts & Key Terms Redlands, CA, USA
12. Environmental Systems Research Institute, Inc. (ESRI). 1991b. Cell-based modeling with GRID, Redlands, CA, USA
13. Evans, J., 1992. Plantation Forestry in the Tropics, 2nd ed., Oxford:Clarendon Press.
14. Horler, D., and Ahern, F., 1986. Forestry information content of Thematic Mapper data. International Journal of Remote Sensing, 7(3):405–428.
15. Huete, A., Justice, C, and Liu, H., 1994. Development of Vegetation and Soil Indices for MODIS-EOS. Remote Sensing of the Environment, 49:224–234.
16. Leprieur, C., 1988. Influence of Topography on Forest Reflectance Using Landat Thematic Mapper and Digital Terrain Data. Photogrammetric Engineering and Remote Sensing, 54(4):491–496.
17. Lyle, J., and Stutz, F., 1983. Computerised Land Use Suitability Mapping. The Cartographic Journal, 20(1):39–49.
18. Malingreau, J., Remote Sensing and the Monitoring of Ecosystems. 10th World Forestry Congress. Paris. pp. 577–591.
19. MPA. 1992. microBRIAN User Manual (Version 3), 51 Lusher Rd, Croydon, Victoria, Australia 3136:MPA Communications Pty Ltd.
20. National Economic and Development Authority (NEDA). 1989. Philippine Development Report, Metro Manila, Philippines
21. National Statistics Office. June 1992. 1990 Census of Population and Housing, Report No. 3 - 64D (OCCIDENTAL MINDORO) - Socio-Economic and Demographic Characteristics June, Manila
22. PENRO/Occ. Mindoro. 1993. Provincial Master Plan for Forestry Towards Sustainable Development of Occidental Mindoro, Philippines:Mamburao, Occ. Mindoro.
23. Pereira, J. M. C., and Duckstein, L., 1993. A multiple criteria decision-making approach to GIS-based land suitability evaluation. International Journal of Geographical Information Systems, 7(5):407–424.
24. Redhead, J., and Hall, J., 1992. Tropical Forestry, Redlands, CA, USA:Longman Scientific & Technical, England.
25. Richards, J. A., 1993. Remote Sensing Digital Image Analysis:An Introduction, 2nd ed., Berlin:Springer-Verlag.
26. Roy, P., Ranganath, B., Diwakar, P., Vohra, T., Bhan, S., Singh, I., and Pandian, V., 1991. Tropical forest type mapping and monitoring using remote sensing. International Journal of Remote Sensing, 12(11):2205–2225.
27. Saaty, T., 1977. A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 15:234–281.
28. Saha, S., Kudrat, M., and Bhan, S., 1990. Digital processing of Landsat TM data for wasteland mapping in parts of Aligarh District (Uttar Pradesh), India. International Journal of Remote Sensing, 11(3):485–492.
29. Saxena, K., Tiwari, A., Porwal, M., and Menon, A., 1992. Vegetation Maps, Mapping Needs and Scope of Digital Processing of Landsat Thematic Mapper Data in Tropical Region of South-west India. International Journal of Remote Sensing, 13(11):2017–2037.
30. Skidmore, A.K., 1991. Use of an expert system to map forest soils from a geographical information system. International Journal of Geographical Information Systems, 5(4):431–445.
31. Tolentino, D.S., Jr. The National Forestation Program:A Review of Lessons and Experiences and Formulation of Action Plans. PENRO/CENRO Convention. November261992. Philippines:Asian Institute of Tourism, Q.C.
32. UNAC/DENR. 1991. Review and Recommendations on the Contract Reforestation Program, Manila, Philippines:Upland NGO Assistance Committee (UNAC).
33. Wiersum, K.F., Introduction:Towards a global forestation strategy. Proceedings of the International Symposium on the Occasion of 100 years of Forestry Education and Research in the Netherlands, Wageningen. September19–231983, Wageningen, Netherlands.
34. Whitley, D., Xiang, W., and Young, J., 1993. Use a GIS “Melting Pot” to Assess Land Use Suitability. GIS World, July:48–51. 1993
35. Wolfe, L.D.S., 1991. Coastal Area Management and Planning Lecture Notes, Bangkok, Thailand:Asian Institute of Technology.