Assessing habitat protection regimes in Tanzania using AVHRR NDVI composites: Comparisons at different spatial and temporal scales

International Journal of Remote Sensing

Volumn 24, Issue 12, 2003, Pages 2533-2558

  Pelkey, N W ^a   Stoner, C J ^b   Caro, T M ^b  

^a UNIVERSITY OF THE SOUTH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITE MATERIALS; IMAGE SENSORS; SATELLITES; VEGETATION;

SPATIAL RESOLUTION;

REMOTE SENSING;

AVHRR; HABITAT CONSERVATION; NOAA SATELLITE; VEGETATION DYNAMICS;

TANZANIA;

EID: 0038684092     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160210155929     Document Type: Article

References (85)

1. ACHARD, F., and ESTREGUIL, C., 1995, Forest classification of southeast Asia using NOAA AVHRR data. Remote Sensing of Environment, 54, 198-208.
2. ADDS (AFRICA DATA DISSEMINATION SERVICE), 2001, NDVI information and references, http://edcsnw4.cr.usgs.gov/adds/NDVIPaper.php.
3. ANSELIN, L., 1988, Spatial Econometrics: Methods and Models (Dordrecht: Kluwer Academic Publishers).
4. BARBOSA, P. M., PEREIRA, J. M. C., and GREGOIRE, J. M., 1998, Compositing criteria for burned area assessment using multitemporal low resolution satellite data. Remote Sensing of Environment, 65, 38-49.
5. BAYNES, J., and DUNN, G. M., 1997, Estimating foliage surface area index in 8-year old stands of Pinus elliottii var. elliottii X Pinus caribaea var. hondurensis of variable quality. Canadian Journal of Forest Research, 27, 1367-1375.
6. BOYD, D. S., and RIPPLE, W. J., 1997, Potential vegetation indices for determining global forest cover. International Journal of Remote Sensing, 18, 1395-1401.
7. BURGESS, D. W., LEWIS, P., and MULLER, J.-P. A. L., 1995, Topographic effects in AVHRR NDVI data. Remote Sensing of Environment, 54, 223-232.
8. CHAVEZ, P., VELASCO, M., ANDERSON, J., and SIDES, S., 1995, Wetlands and water quality change detection in San Francisco Bay ecosystem using remotely sensed images. USGS website: http://sfbay.wr.usgs.gov/access/change_detect/Change_Detect_SFB.html.
9. CHOPPING, M. A., 1998, BRDF applications in semiarid grassland monitoring with the AVHRRs. Website: http://hydrolab.arsusda.gov/~chopping/.
10. CLIFF, A., and ORD, J. K., 1981, Spatial Processes, Models and Applications (London: Pion).
11. COOPS, N. C., WARING, R. H., and LANDSBERG, J. J., 1998, Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity. Forest Ecology and Management, 104, 113-127.
12. CRESSIE, N. A. C., 1993, Statistics for Spatial Data (New York: Wiley).
13. DAVIS, J. C., 1986, Statistics and Data Analysis in Geology (New York: Wiley).
14. DE COLA, L., and FALCONE, N., 1995, Exploratory Analysis of Environmental Interactions in Central California (Reston, VA: United States Geological Survey).
15. DEFRIES, R. S., and TOWNSHEND, J. R. G., 1994, NDVI-derived land cover classifications at a global scale. International Journal of Remote Sensing, 15, 3567-3586.
16. DUCHEMIN, B., 1999, NOAA/AVHRR bidirectional reflectance: modeling and application for the monitoring of a temperate forest. Remote Sensing of Environment, 67, 51-67.
17. ELMORE, A. J., MUSTARD, J. F., MANNING, S., and LOBELL, D., 2000, Quantifying percent live cover in multitemporal data of a semi-arid region: comparison between spectral mixture analysis and NDVI. Remote Sensing of Environment, 73, 87-102.
18. ESA (EUROPEAN SPACE AGENCY), 1999, IONIA Fire Atlas (European Space Agency). URL: http://shark1.esrin.esd.it/ionia/FIRE/AF/ATSR
19. FSI (FOREST SURVEY OF INDIA), 1989, The State of the Forest Report 1989 (Dehra Dun, India: Forest Survey of India).
20. FULLER, D. O., 1998, Trends in NDVI time series and their relation to rangeland crop production in Senegal, 1987-1993. International Journal of Remote Sensing, 19, 2013-2018.
21. GAMON, J. A., FIELD, C. B., GOULDEN, M. L., GRIFFIN, K. L., HARTLEY, A. E., JOEL, G., PENUELAS, J., and VALENTI, R., 1995, Relationships between NDVI, canopy structure and photosynthesis in three California vegetation types. Ecological Applications, 5, 28-41.
22. GONZALEZ-ALONSO, F., CUEVAS, J. M., CASANOVA, J. L., CALLE, A., and ILLERA, P., 1997, A forest fire risk assessment using NOAA AVHRR images in the Valencia area, eastern Spain. International Journal of Remote Sensing, 10, 2201-2207.
23. GOVERNMENT OF THE UNITED REPUBLIC OF TANZANIA, 1984, Vegetation Map of Tanzania (Dar Es Salaam: Government of the United Republic of Tanzania).
24. GUILLEVIC, P., and GASTELLU-ETCHEGORRY, J. P., 1999, Modeling BRF and radiation regime of boreal and tropical forest: II. PAR regime. Remote Sensing of Environment, 68, 317-340.
25. GUNDERSON, L., 1999, Resilience, flexibility and adaptive management-antidotes for spurious certitude? Conservation Ecology, 3, 7.
26. GUNDERSON, L. H., HOLLING, C. S., and LIGHT, S. S., 1995, Barriers and Bridges to the Renewal of Ecosystems and Institutions (New York: Columbia University Press).
27. GUTMAN, G., 1989, On the relationship between monthly mean and maximum-value composite normalized vegetation indices. International Journal of Remote Sensing, 10, 1317-1326.
28. GUTMAN, G., and IGNATOV, A., 1996, The relative merit of cloud/clear identification in the NOAA/NASA Pathfinder AVHRR Land 10-day composites. International Journal of Remote Sensing, 17, 3295-3304.
29. HANSEN, M. C., DEFRIES, R. S., TOWNSHEND, J. R. G., and SOHLBERG, R., 2000, Global land cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing, 21, 1331-1364.
30. HEUTE, A. R., JACKSON, R. D., and POST, D. F., 1985, Spectral response of plant canopy with different soil backgrounds. Remote Sensing of Environment, 17, 37-53.
31. HILL, M. J., VICKERY, P. J., FURNIVAL, E. P., and DONALD, G. E., 1999, Pasture land cover in Eastern Australia from NOAA-AVHRR NDVI and classified Landsat TM. Remote Sensing of Environment, 67, 32-50.
32. HOLLING, C. S., 1978, Adaptive Environmental Assessment and Management (Chichester, NY: Wiley International Institute for Applied Systems Analysis).
33. JAKUBAUSKAS, M. E., LEGATES, D. R., and KASTENS, J. H., 2001, Harmonic analysis of time-series AVHRR NDVI data. Photogrammetric Engineering and Remote Sensing, 67, 461-470.
34. JAMES, M. E., and KALLURI, S. N. V., 1994, The Pathfinder AVHRR land data set: an improved coarse-resolution data set for terrestrial monitoring. International Journal of Remote Sensing, 15, 3347-3364.
35. JANG, C. J., NISHIGAMI, Y., and YANAGISAWA, Y., 1996, Assessment of global forest change between 1986 and 1993 using satellite-derived terrestrial net primary productivity. Environmental Conservation, 23, 315-321.
36. KALUZNY, S. P., VEGA, S. C., CARDOSO, T. P., and SHELLEY, A. A., 1997, S + SpatialStats: User's Manual for Windows and UNIX (New York: Springer).
37. KASISCHKE, E. S., FRENCH, N. H. F., HARRELL, P., CHRISTENSEN, N. L., USTIN, S. L., and BARRY, D., 1993, Monitoring of wildfires in boreal forests using large area AVHRR NDVI composite image data. Remote Sensing of Environment, 45, 61-71.
38. KELEJIAN, H. H., and PRUCHA, I. R., 1997, Estimation of spatial regression models with autoregressive errors by two-stage least squares procedures: a serious problem. International Regional Science Review, 20, 103-111.
39. KIDWELL, K. B., 1998, NOAA global vegetation index user's guide, July 1997 Revision. US Deptartment of Commerce, NOAA/ National Environmental Satellite Data and Information Service, National Climatic Data Center, Satellite Data Services Division.
40. KUTIEL, P., 1992, Slope aspect effect on soil and vegetation in a Mediterranean ecosystem. Israel Journal of Botany, 41, 243-250.
41. LAND, K., and DEANE, G., 1992, On the large-sample estimation of regression models with spatial- or network-effects terms: a two stage least squares approach. In Sociological Methodology, edited by P. Marsden (San Francisco: Jossey-Bass), pp. 221-248.
42. LAPORTE, N. T., GOETZ, S. J., JUSTICE, C. O., and HEINICKE, M., 1998, A new land cover map of central Africa derived from multi-resolution, multi-temporal AVHRR data. International Journal of Remote Sensing, 19, 3537-3550.
43. LAURANCE, W. F., and BIERREGAARD, R. O., 1997, Tropical Forest Remnants: Ecology, Management, and Conservation of Fragmented Communities (Chicago: University of Chicago Press).
44. LEADER-WILLIAMS, N., KAYERA, J. A., and OVERTON, G. L., 1996, Tourist Hunting in Tanzania (Gland, Switzerland and Cambridge, UK: IUCN Species Survival Commission).
45. LEE, K. N., 1993, Compass and Gyroscope: Integrating Science and Politics for the Environment (Washington, DC: Island Press).
46. LESAGE, J. P., 1997, Bayesian estimation of spatial autoregressive models. International Regional Science Review, 20, 113-129.
47. LILLESAND, T. M., and KIEFER, R. W., 1994, Remote Sensing and Image Interpretation, 3rd edn (New York: Wiley).
48. LILLESAND, T. M., and KIEFER, R. W., 2000, Remote Sensing and Image Interpretation, 4th edn (New York: Wiley).
49. LOVELAND, T. R., and BELWARD, A. S., 1997, The IGBP-DIS global 1 km land cover data set, DISCover: first results. International Journal of Remote Sensing, 18, 3289-3295.
50. LUDBROOK, J., 1998, Multiple comparison procedures updated. Clinical and Experimental Pharmacology and Physiology, 25, 1032-1037.
51. MARGERUM, R. D., 1999, Integrated environmental management: lessons from the Trinity Inlet Management Program. Land Use Policy, 16, 179-190.
52. MASELLI, F., CONESE, C., PETKOV, L., and GILABERT, M., 1993, Environmental monitoring and crop forecasting in the Sahel through the use of NOAA NDVI data. A case study: Niger 1986-89. International Journal of Remote Sensing, 14, 3471-3487.
53. MAURER, B. A., 1994, Geographical Population Analysis: Tools for the Analysis of Biodiversity (Oxford: Blackwell Scientific Publications).
54. MEFFE, G. K., and CARROLL, C. R., 1997, Principles of Conservation Biology (Sunderland, MA: Sinauer).
55. MOODY, A., and STRAHLER, A. H., 1994, Characteristics of composited AVHRR data and problems in their classification. International Journal of Remote Sensing, 15, 3473-3491.
56. NASA (NATIONAL AERONATICS AND SPACE ADMINSTRATION), 2002, NOAA/NASA Pathfinder AVHRR land datasets http://daac.gsfc.nasa.gov/DATASET_DOCS/avhrr_dataset.html.
57. NASA/GSFC (NATIONAL AERONATICS AND SPACE ADMINSTRATION/GODDARD SPACE FLIGHT CENTER), 1999, (FTP data access site: http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/FTP_SITE/readmes/pal.htm.
58. NERRY, F., PETITCOLIN, F., and STOLL, M. P., 1998, Bidirectional reflectivity in AVHRR channel 3: application to a region in Northern Africa. Remote Sensing of Environment, 66, 298-316.
59. NICHOLSON, S. E., DAVENPORT, M. L., and MALO, A. R., 1990, A comparison of the vegetation response to rainfall in the Sahel and East Africa, using Normalized Difference Vegetation Index from NOAA AVHR. Climatic Change, 17, 209-241.
60. PARK, J. G., TATEISHI, R., and MATSUOKA, M., 1999, A proposal of the temporal window operation (TWO) method to remove high-frequency noises in AVHRR NDVI time series data. Journal of the Japan Society of Photogrammetry and Remote Sensing, 38, 36-47.
61. PARUELO, J. M., EPSTEIN, H. E., LAUENROTH, W. K., and BURKE, I. C., 1997, ANPP estimates from NDVI for the central grassland region of the United States. Ecology (Washington DC), 78, 953-958.
62. PELKEY, N. W., 1997, A refuge for Aranya: a comparison of four habitat management regimes in southern India. PhD dissertation, University of California, Davis, USA.
63. PELKEY, N. W., STONER, C. J., and CARO, T. M., 2000, Vegetation in Tanzania: assessing long term trends and effects of protection using satellite imagery. Biological Conservation, 94, 297-309.
64. PRIVETTE, J. L., FOWLER, C., BALDWIN, D., WICK, G., and EMERY, W. J., 1995, Effects of orbital drift on Advanced Very High Resolution Radiometer (AVHRR) products: Normalized Difference Vegetation Index (NDVI), and Sea Surface Temperature (SST). Remote Sensing of Environment, 53, 164-171.
65. REED, B. C., BROWN, J. F., VANDEER ZEE, D., LOVELAND, T. R., MERCHANT, J. W., and OHLEN, D. O., 1994. Measuring the phenological variability from satellite imagery. Journal of Vegetation Science, 5, 703-714.
66. RUIMY, A., DEDIEU, G., and SAUGIER, B., 1994, Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 99, 5263-5283.
67. SANNIER, C. A. D, TAYLOR, J. C., and CAMPBELL, K., 1998, Compatibility of FAO-ARTEMIS and NASA Pathfinder AVHRR Land NDVI data archives for the African continent. International Journal of Remote Sensing, 19, 3441-3450.
68. SCHWARTZ, M. W., 1997, Conservation in Highly Fragmented Landscapes (New York: Chapman and Hall).
69. STEINWAND, D. R., 1998, Mapping Raster Imagery to the Interrupted Goode Homolosine Projection (Sioux Falls, SD: US Geological Survey).
70. STOMS, D. M., KUHN, W. A., DAVIS, F. W., CABLK, M. E., HARGROVE, W. W., and MASTER, L., 1998, Acquisition and evaluation of data sets from comparative assessment of risk to biodiversity on a continental scale: threats to biodiversity. Report No. 11 University of California, Santa Barbara Institute of Computational Earth System Science and Department of Geography, USA.
71. TABACHNICK, B. G., and FIDELL, L. S., 1989, Using Multivariate Statistics (New York: HarperCollins).
72. TRAVAGLIA, C., and MACINTOSH, H., 1997, Wetlands monitoring by ERS Synthetic Aperture Radar (SAR) data-a case study: Lake Bangweulu wetland system, Zambia. Research series 69, FAO, Rome, Italy.
73. TRAVAGLIA, C., KAPETSKY, J., and RIGHINI, G., 1995, Monitoring wetlands for fisheries by NOAA AVHRR LAC thermal data. Research series 68, 30, FAO, Rome, Italy.
74. TUCKER, C. J., and SELLERS, P. J., 1986, Satellite remote sensing of primary production. International Journal of Remote Sensing, 7, 1395-1416.
75. UNHCR (UNITED NATIONS HIGH COMMISSIONER FOR REFUGEES), 1999, Map of United Republic of Tanzania: 31 December 1999. URL: http://www.unhcr.ch/cgi-bin/texis/vtx/home.
76. USAID (UNITED STATES AGENCY FOR INTERNATIONAL DEVELOPMENT), 1995, USAID famine early warning system 1995.
77. USGS/ADDS, 1997, African continental NDVI data access site: http://edcintl.cr.usgs.gov/adds/data/ndvi/ndvi.html
78. USGS, 2001, 1 km AVHRR Global Land data access site: http://edcdaac.usgs.gov/1KM/1kmhomepage.html
79. VENABLES, W. N., and RIPLEY, B. D., 1999, Modern Applied Statistics with S-PLUS, 3rd edn (New York: Springer).
80. VERLINDEN, A., and MASOGO, R., 1997, Satellite remote sensing of habitat suitability for ungulates and ostrich in the Kalahari of Botswana. Journal of Arid Environments, 35, 563-574.
81. WILSON, E. O., 1992, The Diversity of Life (Cambridge, MA: Belknap).
82. WRI (WORLD RESOURCES INSTITUTE), 1995, Africa Data Sampler-A Geo-referenced database for All African Countries. CD-Rom. (Washington, DC: World Resources Institute).
83. WULDER, M. A., FRANKLIN, S. E., and LAVIGNE, M. B., 1996, High spatial resolution optical image texture for improved estimation of forest stand leaf area index. Canadian Journal of Remote Sensing, 22, 441-449.
84. YOUNG, S. S., and ANYAMBA, A., 1999, Comparison of NOAA/NASA PAL and NOAA GVI data for vegetation change studies over China. Photogrammetric Engineering and Remote Sensing, 65, 679-688.
85. ZHU, Z. L., and YANG, L., 2000, Characteristics of the North America 1-km AVHRR dataset. URL: http://edcdaac.usgs.gov/1KM/zhu.html.