TY - JOUR
T1 - Evaluation of Normalized Difference Vegetation Index by Remote Sensing with Landsat Satellites in the Tayacaja Valley in the Central Andes of Peru
AU - Carbajal-Morán, Hipólito
AU - Márquez-Camarena, Javier F.
AU - Galván-Maldonado, Carlos A.
AU - Zárate-Quiñones, Rosa H.
AU - Galván-Maldonado, Alberto C.
AU - Muñoz-De la Torre, Rossibel J.
N1 - Publisher Copyright:
© 2023, Polskie Towarzystwo Inzynierii Ekologicznej (PTIE). All rights reserved.
PY - 2023
Y1 - 2023
N2 - The research sought to evaluate the normalized difference vegetation index (NDVI) of the study area located in the province of Tayacaja, which includes the districts of Acraquia, Ahuaycha, Pampas and Daniel Hernández, which is part of the central Andes of Peru. The data were collected in low water seasons with a longitudinal cut of 30 years with one sample per year, starting in 1993 until 2022; these samples corresponded to the month of August of each year. The images were extracted from maps from Landsat satellite databases, which were filtered for low cloud cover to avoid interference with the images. Maps from 1993 to 2012 were obtained from Landsat 5 satellite, while from 2013 to 2022 data were obtained from Landsat 8 satellite. The normalized difference vegetation index was determined using Quantum GIS based on the red and near infrared maps; being the minimum NDVI value obtained-0.18, which corresponds to the aquatic body of the Upamayu River that crosses from west to east the study area; while the highest NDVI obtained was 0.79 indicating a greater vegetation cover constituted by mainly eucalyptus plants. The mean NDVI of the 30 years is close to 0.21; this is an indicator that the vegetation is scarce and that it is decreasing mainly due to population growth.
AB - The research sought to evaluate the normalized difference vegetation index (NDVI) of the study area located in the province of Tayacaja, which includes the districts of Acraquia, Ahuaycha, Pampas and Daniel Hernández, which is part of the central Andes of Peru. The data were collected in low water seasons with a longitudinal cut of 30 years with one sample per year, starting in 1993 until 2022; these samples corresponded to the month of August of each year. The images were extracted from maps from Landsat satellite databases, which were filtered for low cloud cover to avoid interference with the images. Maps from 1993 to 2012 were obtained from Landsat 5 satellite, while from 2013 to 2022 data were obtained from Landsat 8 satellite. The normalized difference vegetation index was determined using Quantum GIS based on the red and near infrared maps; being the minimum NDVI value obtained-0.18, which corresponds to the aquatic body of the Upamayu River that crosses from west to east the study area; while the highest NDVI obtained was 0.79 indicating a greater vegetation cover constituted by mainly eucalyptus plants. The mean NDVI of the 30 years is close to 0.21; this is an indicator that the vegetation is scarce and that it is decreasing mainly due to population growth.
KW - desertification
KW - greenness
KW - raster
KW - satellites
KW - vegetation
UR - https://www.scopus.com/pages/publications/85167929616
U2 - 10.12912/27197050/169530
DO - 10.12912/27197050/169530
M3 - Artículo
AN - SCOPUS:85167929616
SN - 2719-7050
VL - 24
SP - 208
EP - 215
JO - Ecological Engineering and Environmental Technology
JF - Ecological Engineering and Environmental Technology
IS - 7
ER -