TY - GEN
T1 - Multitemporal Analysis of Inland Water Bodies in the Context of Water Security
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
AU - Sánchez-Guevara, Johana Andrea
AU - Tatiana Solano-Correa, Yady
AU - Pencue-Fierro, Edgar Leonairo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents an analysis of two inland water bodies, Salvajina Reservoir and Sonso's lagoon, located in the Upper Cauca River Basin, Colombia. Such analysis is carried out in the context of Water Security (WS) by considering their inherent problems to be monitored in a permanent manner (i.e., difficult access, insecurity) and taking advantage of Remote Sensing (RS) platforms. To do so, temporal mapping was done by: (i) automatically segmenting the inland water bodies; (ii) applying the Case 2 Regional Coast Color (C2RCC) algorithm to obtain an approximation to water quality parameters (e.g., chl-a, TSM); (iii) extracting statistical information such as area variation, radiometric index values, and mean values in parameters of water quality; and (iv) providing relevant information for decision makers in the context of WS. The analysis was done over Landsat-8 and Sentinel-2 images between 2014-2021 and 2020-2021, respectively. Planet images were used to validate the segmentation results.
AB - This paper presents an analysis of two inland water bodies, Salvajina Reservoir and Sonso's lagoon, located in the Upper Cauca River Basin, Colombia. Such analysis is carried out in the context of Water Security (WS) by considering their inherent problems to be monitored in a permanent manner (i.e., difficult access, insecurity) and taking advantage of Remote Sensing (RS) platforms. To do so, temporal mapping was done by: (i) automatically segmenting the inland water bodies; (ii) applying the Case 2 Regional Coast Color (C2RCC) algorithm to obtain an approximation to water quality parameters (e.g., chl-a, TSM); (iii) extracting statistical information such as area variation, radiometric index values, and mean values in parameters of water quality; and (iv) providing relevant information for decision makers in the context of WS. The analysis was done over Landsat-8 and Sentinel-2 images between 2014-2021 and 2020-2021, respectively. Planet images were used to validate the segmentation results.
KW - C2RCC
KW - Remote Sensing
KW - Segmentation
KW - temporal analysis
KW - Water Security
UR - https://www.scopus.com/pages/publications/85204907781
U2 - 10.1109/IGARSS53475.2024.10640521
DO - 10.1109/IGARSS53475.2024.10640521
M3 - Conference contribution
AN - SCOPUS:85204907781
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1918
EP - 1921
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2024 through 12 July 2024
ER -