Remote Sensing Using AVHRR

Rapid deforestation i n Mexico, when cozrpled w i t h poor access to current and consistent ecological information across the col lntry underscores the need for a n ecological classification sys t em that can be readily updated and n e w data beconze available. In this s tudy , regiorzal vegetation resources i n Mexico were evaluated us ing remotely sensed information. Mtllt i temporal Global Vegetation l n d e x { G V I ) data from Advanced V e r y High Resolution Radiometer images provided ecological infornzation at regional scales b y being interpreted as plzenological patterns ofvegetat ion product iv i ty and seasonality. Principal component analysis o n G V I lnonthly composites identified spatial and temporal vegetation patterns, reducing their variation to f ive phenologically m e a n i n d u l components . S i x t y landcover and natural vegetation classes zuer: then derived via unsupervised classification f rom the f ive principal components . Addi t ional phenoloipical i~zfontzation (e.g., onset and peak of greenness, periods of growth) was obtained for each class. These data , along wltlz seasonality measures (e.g., szrnzmer us . w in ter peak ofgreenness) were used as criteriafor group ing similar vegetation and land-cover types in to a classification for Mexico.

[1]  J. Eastman,et al.  Long sequence time series evaluation using standardized principal components , 1993 .

[2]  W. Dulaney,et al.  Normalized difference vegetation index measurements from the Advanced Very High Resolution Radiometer , 1991 .

[3]  A. S. Belward,et al.  Scale considerations in vegetation monitoring using AVHRR data , 1992 .

[4]  C. Justice,et al.  Global land cover classification by remote sensing: present capabilities and future possibilities , 1991 .

[5]  Helmut Lieth,et al.  Purposes of a Phenology Book , 1974 .

[6]  C. Justice,et al.  Characterization and classification of South American land cover types using satellite data , 1987 .

[7]  William J. Emery,et al.  The advanced very high resolution radiometer (AVHRR) - A brief reference guide , 1992 .

[8]  John E. Estes,et al.  Studying the Earth's Vegetation from Space , 1984 .

[9]  John E. Colwell,et al.  Coarse-resolution Satellite Data for Ecological SurveysNOAA satellite data offer ecologists new opportunities for examining large areas , 1986 .

[10]  Diane E. Wickland,et al.  Mission to Planet Earth: The Ecological Perspective , 1991 .

[11]  N. Myers,et al.  Tropical Forests: The Main Deforestation Fronts , 1993, Environmental Conservation.

[12]  S. Goward,et al.  Evaluating North American net primary productivity with satellite observations , 1987 .

[13]  C. Tucker,et al.  North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer , 1985, Vegetatio.

[14]  D. Lloyd,et al.  A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery , 1990 .

[15]  J. Cihlar,et al.  Relation between the normalized difference vegetation index and ecological variables , 1991 .

[16]  Climate and global change: Characteristics of NOAA satellite data , 1989 .

[17]  R. H. Haas,et al.  Analyzing vegetation dynamics of land systems with satellite data , 1992 .

[18]  Ned Horning,et al.  Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR data , 1987 .

[19]  J. Estes,et al.  Applications of NOAA-AVHRR 1 km data for environmental monitoring , 1994 .

[20]  K. Lulla,et al.  Mapping small-scale vegetation changes in Mexico , 1993 .

[21]  Jesslyn F. Brown,et al.  Measuring phenological variability from satellite imagery , 1994 .

[22]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[23]  Zhiliang Zhu,et al.  Mapping Mexico's Forest Lands with Advanced Very High Resolution Radiometer , 1992 .

[24]  Koji Kajiwara,et al.  Land cover monitoring in Asia by NOAA GVI data , 1991 .

[25]  J. Townshend,et al.  African Land-Cover Classification Using Satellite Data , 1985, Science.

[26]  John Townshend,et al.  Multitemporal Dimensionality of Images of Normalized Difference Vegetation Index at Continental Scales , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Brent N. Holben,et al.  Identifying deforestation in Brazil using multiresolution satellite data , 1986 .