TY - GEN
T1 - Determining the effects of ENSO phenomena on Andean areas by applying radiometric indices on long time series
AU - Solano-Correa, Yady Tatiana
AU - Pencue-Fierro, Leonairo
AU - Figueroa-Casas, Apolinar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/8
Y1 - 2015/9/8
N2 - This paper presents the results obtained after applying different radiometric indices over sugarcane crops located in a Colombian Andean area, analyzing their possible correlation with ENSO phenomena. The study was performed over Landsat images acquired during a 28-year period. Given the change of sensor on-board Landsat satellites during the above mentioned period, preliminary radiometric transformations were applied to homogenize the data. Moreover, in order to reduce possible seasonal effects, only images acquired over the same period of the year were considered. Vegetation indices such as NDVI and PRI were applied, and the results were compared with the ONI index, allowing the identification of ENSO events, as well as the identification of patterns corresponding to damage caused by ENSO events. Detailed analysis over the decreased quality of vegetation, and therefore the soil, allowed us to confirm the validity of the proposed methodology.
AB - This paper presents the results obtained after applying different radiometric indices over sugarcane crops located in a Colombian Andean area, analyzing their possible correlation with ENSO phenomena. The study was performed over Landsat images acquired during a 28-year period. Given the change of sensor on-board Landsat satellites during the above mentioned period, preliminary radiometric transformations were applied to homogenize the data. Moreover, in order to reduce possible seasonal effects, only images acquired over the same period of the year were considered. Vegetation indices such as NDVI and PRI were applied, and the results were compared with the ONI index, allowing the identification of ENSO events, as well as the identification of patterns corresponding to damage caused by ENSO events. Detailed analysis over the decreased quality of vegetation, and therefore the soil, allowed us to confirm the validity of the proposed methodology.
KW - ENSO
KW - NDVI
KW - Remote sensing
KW - Time-Series analysis
KW - Vegetation monitoring
KW - ENSO
KW - NDVI
KW - Teledetección
KW - Análisis de series temporales
KW - Monitoreo de la vegetación
UR - https://www.scopus.com/pages/publications/84959930208
U2 - 10.1109/Multi-Temp.2015.7245808
DO - 10.1109/Multi-Temp.2015.7245808
M3 - Conference contribution
AN - SCOPUS:84959930208
T3 - 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015
SP - 1
EP - 4
BT - 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015
Y2 - 22 July 2015 through 24 July 2015
ER -