TY - JOUR
T1 - Spatial distribution analysis of lift net fishing device based on oceanographic features in Palabuhanratu Bay
AU - Ikrimah, H.
AU - Supriatna, null
AU - Shidiq, I. P.A.
N1 - Publisher Copyright:
© 2022 Institute of Physics Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The types of charting gear being utilized by fisher in Palabuhanratu Bay are improving over time. From the raft lift-nets to the boat charting equipment. According to local authorization in fish gathering or PPI, the number of chart fishing gear in Palabuhanratu Bay is around 500 pieces in 2019. The goals of this study are to analyze the spatial distribution of lift net fishing devices during the dry and rainy months and determine the oceanographic features that are might influencing the spread. Some oceanographic parameters being employed include sea surface salinity, sea surface temperature (SST), water current, water depth, and chlorophyll-a concentration. This study uses images from the Google Earth application to mark the location of the lift net fishing devices. Additional satellite imageries from Landsat 8 OLI-TIRS sensors were applied to generate sea surface salinity, SST, and chlorophyll-a maps. The lift net fishing devices are mostly distributed in shallow water (water depth between 40 to 100 meters). The chlorophyll-a concentration, sea surface salinity, SST, and water depth the most significant oceanographic features influencing the number of lift net fishing devices during both seasons (dry and rainy months).
AB - The types of charting gear being utilized by fisher in Palabuhanratu Bay are improving over time. From the raft lift-nets to the boat charting equipment. According to local authorization in fish gathering or PPI, the number of chart fishing gear in Palabuhanratu Bay is around 500 pieces in 2019. The goals of this study are to analyze the spatial distribution of lift net fishing devices during the dry and rainy months and determine the oceanographic features that are might influencing the spread. Some oceanographic parameters being employed include sea surface salinity, sea surface temperature (SST), water current, water depth, and chlorophyll-a concentration. This study uses images from the Google Earth application to mark the location of the lift net fishing devices. Additional satellite imageries from Landsat 8 OLI-TIRS sensors were applied to generate sea surface salinity, SST, and chlorophyll-a maps. The lift net fishing devices are mostly distributed in shallow water (water depth between 40 to 100 meters). The chlorophyll-a concentration, sea surface salinity, SST, and water depth the most significant oceanographic features influencing the number of lift net fishing devices during both seasons (dry and rainy months).
UR - http://www.scopus.com/inward/record.url?scp=85142484105&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1089/1/012002
DO - 10.1088/1755-1315/1089/1/012002
M3 - Conference article
AN - SCOPUS:85142484105
SN - 1755-1307
VL - 1089
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012002
T2 - 4th International Geography Seminar 2020, IGEOS 2020
Y2 - 29 September 2020 through 30 September 2020
ER -