First application of FASAT-Charlie Imagery for the assessment of semiarid prairies in Chile Primera aplicación de imágenes Fasat-Charlie al estudio de praderas semi-áridas de Chile

Indexado

Scopus: SCOPUS_ID:84891479787

DOI

Año

2013

Tipo

artículo de investigación

0
Citas Totales
0
Autores Afiliación Chile
0
Instituciones Chile
0
% Participación Internacional
0
Autores Afiliación Extranjera
0
Instituciones Extranjeras

Abstract

The semi-arid region of Chile has gained great relevance in the recent decades mainly due to the constant desertif ication process it's suffering, the increase of climatic extreme events occurrence and the decrease in the precipitation volume. This scenario makes the region a zone of great scientific relevance to the scientific community for the study and analysis of recent climatic events and their relationship with the land cover change process. In this context, satellite technologies now available to Chile could help towards a consistent delivery of updated information from this area. The Satellite System for Earth Observation (SSOT/Fasat-C) controlled by the Chilean Air Force (FACH) carries on board the multispectral sensor NAOMI-1 which has a spatial resolution of 5.8 meters for the blue (455-520 nm), green (528-588 nm), red (625-695 nm) and near infrared (758-881 nm) bands, and a spatial resolution of 1.45 meters for the panchromatic band (455-744 nm). Among its main objectives are land use change detection and monitoring in the Chilean territory, in order to create the basis for a response system in the case of extreme events, and to allow time series study of natural surfaces affected by climate change. In this paper the radiometric calibration and atmospheric correction of a Fasat-Charlie scene was carried out. Spectral signatures of vegetation, bare soil (Aridisol) and concrete were obtained from surface reflectance values. The spectral behavior was then compared with information from the Aster Spectral Library (ASL), and a similar behavior was found. Then, four vegetation indexes were calculated, those are: Simple Ratio (SR), NDVI (Normalized Difference Vegetation Index), LAI (Leaf Area Index) and MSAVI (Modified Soil Adjusted Vegetation Index). The estimated vegetation indexes showed low magnitudes, which could be explained by the scarce characteristics of the vegetation. The MSAVI index showed to be the one that best represented this scarce distribution of the vegetation. These results show the potential that the Fasat-Charlie has as a tool for the monitoring, study and analysis of land covers affected by constant global changes.

Revista

Disciplinas de Investigación

WOS
Remote Sensing
Scopus
Geography, Planning And Development
Earth And Planetary Sciences (Miscellaneous)
SciELO
Sin Disciplinas
INFORMACIÓN

Muestra la distribución de disciplinas para esta publicación.

Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional

INFORMACIÓN

Muestra la distribución de colaboración, tanto nacional como extranjera, generada en esta publicación.

Autores - Afiliación

INFORMACIÓN

Muestra la afiliación y género (detectado) para los co-autores de la publicación.

Origen de Citas Identificadas - Pais

INFORMACIÓN

Muestra la distribución de países cuyos autores citan a la publicación consultada.

Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: NaN %
Citas No-identificadas: NaN %

Origen de Citas Identificadas - Institución

INFORMACIÓN

Muestra la distribución de instituciones nacionales o extranjeras cuyos autores citan a la publicación consultada.

Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: NaN %
Citas No-identificadas: NaN %

Financiamiento

Fuente
Sin Información
INFORMACIÓN

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos

Agradecimiento
Sin Información
INFORMACIÓN

Muestra la fuente de financiamiento declarada en la publicación.

Descarga los datos de esta página

Perfil Artículo