TY - GEN
T1 - Comparison of two datasets from two different satellite sensors at @490 nm in the same space-temporal window over the Gulf of California area
AU - Poom-Medina, José Luis
AU - Jiménez-Escalona, José Carlos
AU - Villa-Martinez, Hector Antonio
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - The main technical problem that may arise when trying to monitor hydrological ecosystems is that the number of desired images of a region of interest in a specific space-time window is not always available and some of the available images need to be discarded due to insufficient quality which means a considerable decrease in the size of the sample set. For this reason, the number of image samples can be multiplied by the number of satellite sensors that have detection bands in the same spectral range, available in the same space-time window. Prior to this fusion of samples, a comparison is made of the sensors placed in the available satellite platforms to validate the compatibility of them due to the difference in the characteristics of the satellite vehicle, the characteristics of each sensor, and the difference in time when the pictures were taken. In our case, the area of interest is the Gulf of California because it is an enormous biological rich ecosystem, making it an excellent scenario for climate change monitoring. This work also exposes the effect of anomalous data, such as the negative values and those outside the expected range in the images, the reason why they appear and the strategies used to minimize their effect. Finally, the scope and limitations of performing a combined use of the data coming from different satellites, thus increasing the number of available images and thus making more precise estimates of optical parameters of seas and oceans.
AB - The main technical problem that may arise when trying to monitor hydrological ecosystems is that the number of desired images of a region of interest in a specific space-time window is not always available and some of the available images need to be discarded due to insufficient quality which means a considerable decrease in the size of the sample set. For this reason, the number of image samples can be multiplied by the number of satellite sensors that have detection bands in the same spectral range, available in the same space-time window. Prior to this fusion of samples, a comparison is made of the sensors placed in the available satellite platforms to validate the compatibility of them due to the difference in the characteristics of the satellite vehicle, the characteristics of each sensor, and the difference in time when the pictures were taken. In our case, the area of interest is the Gulf of California because it is an enormous biological rich ecosystem, making it an excellent scenario for climate change monitoring. This work also exposes the effect of anomalous data, such as the negative values and those outside the expected range in the images, the reason why they appear and the strategies used to minimize their effect. Finally, the scope and limitations of performing a combined use of the data coming from different satellites, thus increasing the number of available images and thus making more precise estimates of optical parameters of seas and oceans.
KW - Hydrological ecosystems
KW - Monitoring
KW - Quality datasets
KW - Satellite sensors
KW - Statistical processing
UR - http://www.scopus.com/inward/record.url?scp=85078093218&partnerID=8YFLogxK
U2 - 10.1117/12.2532086
DO - 10.1117/12.2532086
M3 - Contribución a la conferencia
AN - SCOPUS:85078093218
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI
A2 - Neale, Christopher M. U.
A2 - Maltese, Antonino
PB - SPIE
T2 - Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI 2019
Y2 - 9 September 2019 through 11 September 2019
ER -