TY - JOUR
T1 - Mapping seasonal trends in vegetation using AVHRR-NDVI time series in the Yucatán Peninsula, Mexico
AU - Neeti, Neeti
AU - Rogan, John
AU - Christman, Zachary
AU - Eastman, J. Ronald
AU - Millones, Marco
AU - Schneider, Laura
AU - Nickl, Elsa
AU - Schmook, Birgit
AU - Turner, Billie L.
AU - Ghimire, Bardan
N1 - Funding Information:
This research was supported by the Gordon and Betty Moore Foundation under Grant #1697. The authors thank Nicholas Giner (Graduate School of Geography) for his thoughtful comments on this work, and the staff of Clark Labs, Worcester (MA, USA) for facilitating this work using Idrisi® software (Clark Labs, Clark University, Worcester, MA, USA).
PY - 2012/9
Y1 - 2012/9
N2 - This research examines the spatio-temporal trends in Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) time series to ascribe land use change and precipitation to observed changes in land cover from 1982 to 2007 in the Mexican Yucatán Peninsula, using seasonal trend analysis (STA). In addition to discrete land cover transitions across the study region, patterns of agricultural intensification, urban expansion and afforestation in protected areas have enacted changes to the seasonal patterns of apparent greenness observed through STA greenness parameters. The results indicate that the seasonal variation in NDVI can be used to distinguish among different land cover transitions, and the primary differences among these transitions were in changes in overall greenness, peak annual greenness and the timing of the growing season. Associations between greenness trends and precipitation were weak, indicating a human-dominated system for the 26 years examined. Changes in the states of Campeche, Quintana Roo and Yucatán appear to be associated with pasture cultivation, urban expansion-extensive cultivation and urban expansion-intensive cultivation, respectively.
AB - This research examines the spatio-temporal trends in Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) time series to ascribe land use change and precipitation to observed changes in land cover from 1982 to 2007 in the Mexican Yucatán Peninsula, using seasonal trend analysis (STA). In addition to discrete land cover transitions across the study region, patterns of agricultural intensification, urban expansion and afforestation in protected areas have enacted changes to the seasonal patterns of apparent greenness observed through STA greenness parameters. The results indicate that the seasonal variation in NDVI can be used to distinguish among different land cover transitions, and the primary differences among these transitions were in changes in overall greenness, peak annual greenness and the timing of the growing season. Associations between greenness trends and precipitation were weak, indicating a human-dominated system for the 26 years examined. Changes in the states of Campeche, Quintana Roo and Yucatán appear to be associated with pasture cultivation, urban expansion-extensive cultivation and urban expansion-intensive cultivation, respectively.
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U2 - 10.1080/01431161.2011.616238
DO - 10.1080/01431161.2011.616238
M3 - Article
AN - SCOPUS:80054755396
SN - 2150-704X
VL - 3
SP - 433
EP - 442
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 5
ER -