Forest change monitoring of a remote biosphere reserve

A forest monitoring framework using Universal Transverse Mercator (UTM) grid cells to report forest change estimates derived from time-series satellite imagery was established for the Maya Biosphere Reserve (MBR) in northern Guatemala. Five dates of Landsat Thematic Mapper imagery were acquired and digitally processed to quantify forest change for four time periods: 1986 to 1990, 1990 to 1993, 1993 to 1995, and 1995 to 1997. Time-series change estimates are reported for 215 UTM grid cells approximately 100 km2 each. For the period 1990 to 1997, after the designation of the MBR, the percentage of grid cells with detectable annual forest clearing increased from 38% (1990-93) to 41% (1993-95) and 45% (1995-97). Prior to the establishment of the MBR (1986-90), none of the grid cells exhibited greater than 4.0% annual forest clearing. However in the next three time periods, 7.0%, 8.8% and 9.3% of the grid cells had clearing rates exceeding 4.0% per year. The accuracy of detecting forest clearing was 86.5% over all time periods (Kappa 0.82). Estimates of forest change and user's and producer's accuracy are reported for each time period between 1990 and 1997. The time-series forest change and spatial arrangement of grid locations indicate hot spots where rates and trends of agricultural expansion can be monitored. The baseline survey and the establishment of the UTM grid network to localize forest change estimates provides a framework for future satellite estimates of forest and land cover conversion to be monitored through time. The UTM grid is proposed as the first level in a multi-level ecological monitoring system for the Maya Biosphere Reserve where there are few permanent landmarks in the remote forest region.

[1]  R. Lunetta,et al.  A change detection experiment using vegetation indices. , 1998 .

[2]  Thomas L. Sever,et al.  Time-series tropical forest change detection: a visual and quantitative approach , 1996, Optics & Photonics.

[3]  Eduardo S Brondízio,et al.  Land cover in the Amazon estuary: linking of the thematic mapper with botanical and historical data , 1996 .

[4]  R. Lucas,et al.  Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data , 1996 .

[5]  S. Sader,et al.  Spatial characteristics of forest clearing and vegetation regrowth as detected by Landsat Thematic Mapper imagery , 1995 .

[6]  S. Sader,et al.  Forest change estimates for the northern Petén region of Guatemala — 1986–1990 , 1994 .

[7]  C. Tucker,et al.  Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988 , 1993, Science.

[8]  Steven A. Sader,et al.  RGB-NDVI colour composites for visualizing forest change dynamics , 1992 .

[9]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[10]  S. Sader,et al.  Remote sensing of tropical forests : an overview of research and applications using non-photographic sensors , 1990 .

[11]  J. Parry,et al.  Remote sensing and tropical land management. , 1988 .

[12]  Anita Tailor,et al.  Introductory digital image processing: a remote sensing perspective: Jensen, J R Prentice-Hall, Englewood Cliffs, NJ, USA (1986) £51.30 pp 392 , 1986 .

[13]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[14]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[15]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[16]  C. Bickford The Sampling Design Used in the Forest Survey of the Northeast , 1952 .

[17]  G. D. Fuller,et al.  The Vegetation of Peten , 1937 .

[18]  M. Bauer,et al.  Digital change detection in forest ecosystems with remote sensing imagery , 1996 .

[19]  Eric F. Lambin,et al.  Change Detection at Multiple Temporal Scales: Seasonal and Annual Variations in Landscape Variables , 1996 .

[20]  G. E. Stuart Maya heartland under siege , 1992 .

[21]  Denis White,et al.  Cartographic and Geometric Components of a Global Sampling Design for Environmental Monitoring , 1992 .

[22]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[23]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .