TY - JOUR
T1 - Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile
AU - Rodríguez-López, Lien
AU - Duran-Llacer, Iongel
AU - González-Rodríguez, Lisdelys
AU - Abarca-del-Rio, Rodrigo
AU - Cárdenas, Rolando
AU - Parra, Oscar
AU - Martínez-Retureta, Rebeca
AU - Urrutia, Roberto
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/11
Y1 - 2020/11
N2 - In this study remote sensing was used as an early alert tool for chlorophyll-a changes in a continental aquatic ecosystem in central Chile. To this end, 14 LANDSAT images of Laja Lake (36° 54 'S, 71° 05' W, 1,360 meters above sea level) were taken over a 6-year period. Eleven spectral indexes were calculated. At the same time, chlorophyll-a concentrations were determined experimentally. Correlations between vegetation indices and chlorophyll-a concentrations in different monitoring zones were established. The indices that presented a good correlation were NDVI and GNDVI. A new regression model was developed that allows the primary productivity values of Laja Lake to be estimated using satellite data. Finally, chlorophyll-a maps were created.
AB - In this study remote sensing was used as an early alert tool for chlorophyll-a changes in a continental aquatic ecosystem in central Chile. To this end, 14 LANDSAT images of Laja Lake (36° 54 'S, 71° 05' W, 1,360 meters above sea level) were taken over a 6-year period. Eleven spectral indexes were calculated. At the same time, chlorophyll-a concentrations were determined experimentally. Correlations between vegetation indices and chlorophyll-a concentrations in different monitoring zones were established. The indices that presented a good correlation were NDVI and GNDVI. A new regression model was developed that allows the primary productivity values of Laja Lake to be estimated using satellite data. Finally, chlorophyll-a maps were created.
KW - Chile
KW - Chlorophyll-a
KW - GNDVI
KW - Lake
KW - NDVI
KW - Spectral indices
UR - http://www.scopus.com/inward/record.url?scp=85094868269&partnerID=8YFLogxK
U2 - 10.1016/j.ecoinf.2020.101183
DO - 10.1016/j.ecoinf.2020.101183
M3 - Article
AN - SCOPUS:85094868269
SN - 1574-9541
VL - 60
JO - Ecological Informatics
JF - Ecological Informatics
M1 - 101183
ER -