Water volume variations in Lake Izabal (Guatemala) from in situ measurements and ENVISAT Radar Altimeter (RA-2) and Advanced Synthetic Aperture Radar (ASAR) data products

被引:44
|
作者
Medina, Camilo [1 ]
Gomez-Enri, Jesus [1 ]
Alonso, Jose Juan [1 ]
Villares, Pilar [1 ]
机构
[1] Univ Cadiz, Dept Appl Phys, CASEM, Cadiz 11510, Spain
关键词
Volume variations; SAR; Altimetry; Shoreline extraction; FLOOD BOUNDARY DELINEATION; SEDIMENT LOAD; SAR IMAGES; LEVEL; VARIABILITY; TOPEX/POSEIDON; FLUCTUATIONS; DISCHARGE; CHAD;
D O I
10.1016/j.jhydrol.2009.12.016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The water storage variations in lakes affect their physical. chemical and biological processes. Besides, the water masses of these waterbodies reflect the balance of the rainfall and evaporation with Surface and ground waters. The lake's water Volume is estimated combining water level variations with accurate bathymetry and shore topography maps Lake Izabal is the largest waterbody of Guatemala (approximately 673 29 km(2)) Its water volume has been estimated in the past but the volume variations are still unknown The lake water level variations are monitored in situ since 2004, but regrettably accurate information about the bathymetry and shore topography is not available The main objective Of this Study was to make a first estimate of the Lake Izabal water Volume variations To do this, we combined level variations and Inundated area variations The lack of accurate bathymetry and topography maps was overcame by using Inundated area variations in the assumption that every level change reflects an inundated area response. depending on bathymetry and shore topography The level variations were estimated from an in Situ moored gauged in the lake and from the ENVISAT Radar Altimeter (RA-2). The inundated area variations were obtained using 12 ENVISAT Advanced Synthetic Aperture Radar (ASAR) images. Prior to the area estimates the lake's shoreline was extracted making Use of a chain of existing image processing algorithms. The correlation analysis between in situ lake levels and inundated area variations yielded a correlation coefficient of 0 9 The volume variations of the lake were then estimated on the dates of the acquired SAR images Then, a group of rating curves relating level, area and volume were developed In order to extend the area and Volume estimates to the whole Study time period (February 2003 to December 2006) the lake levels from the RA-2 dataset were entered to the rating curves The estimated water volume variations of Lake Izabal range between 8271 2 x 10(6) m(3) (17th December of 2005) and 9018 15 x 10(6) m(3) (15th July of 2006) in agreement with the most recent estimation of the Lake Izabal water Volume (8300 x 10(6) m(3)) Regarding the Inundated area variations, they range between 672 44 x 10(6) m(2) (17th December of 2005) and 677.2 x 10(6) m(2) (15th July of 2006) in agreement with the Guatemalan government information (673.29 km(2)) The water volume, inundated area and water level fluctuations of the Lake Izabal show a strong seasonal signal with high stages during the rainy season (May-November) and low stages during the dry seasons (December-April) These results give valuable information for the Lake Izabal management and strengthen the idea of using remote sensing as a powerful and cheap complementary tool for hydrologic purposes (C) 2009 Elsevier B V All rights reserved
引用
收藏
页码:34 / 48
页数:15
相关论文
共 14 条
  • [1] Water level fluctuations derived from ENVISAT Radar Altimeter (RA-2) and in-situ measurements in a subtropical waterbody:: Lake Izabal (Guatemala)
    Medina, Camilo Ernesto
    Gomez-Enri, Jesus
    Alonso, Jose J.
    Villares, Pilar
    REMOTE SENSING OF ENVIRONMENT, 2008, 112 (09) : 3604 - 3617
  • [2] Obtaining of geophysical parameters from radar signals of the RA-2 altimeter (ENVISAT)
    Gomez-Enri, J.
    Gommenginger, C.
    Arias, M.
    Alonso, J. J.
    Catalan, M.
    REVISTA DE TELEDETECCION, 2006, (25): : 139 - 143
  • [3] ENVISAT RA-2 advanced radar altimeter: instrument design and pre-launch performance assessment review
    Alenia Aerospazio, Space Division, Remote Sensing System Engineering, Via Saccomuro, 24 - 00131 Rome, Italy
    Acta Astronaut, 7 (323-333):
  • [4] ENVISAT RA-2 advanced radar altimeter: Instrument design and pre-launch performance assessment review.
    Zelli, C
    ACTA ASTRONAUTICA, 1999, 44 (7-12) : 323 - 333
  • [5] Biomass estimation of wetland vegetation in Poyang Lake area using ENVISAT advanced synthetic aperture radar data
    Liao, Jingjuan
    Shen, Guozhuang
    Dong, Lei
    JOURNAL OF APPLIED REMOTE SENSING, 2013, 7
  • [6] Biomass estimation of wetland vegetation in Poyang Lake area using ENVISAT advanced synthetic aperture radar data
    Chinese Academy of Sciences, Center for Earth Observation and Digital Earth, Key Laboratory of Digital Earth Science, No. 9, Denzhuang South Road, Haidian District, Beijing 100094, China
    不详
    1600, SPIE (07):
  • [7] Detecting a moorland wildfire scar in the Peak District, UK, using synthetic aperture radar from ERS-2 and Envisat ASAR
    Millin-Chalabi, Gail
    McMorrow, Julia
    Agnew, Clive
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (01) : 54 - 69
  • [8] Aboveground biomass estimation of tropical forest from Envisat advanced synthetic aperture radar data using modeling approach
    Kumar, Shashi
    Pandey, Uttara
    Kushwaha, Satya P.
    Chatterjee, Rajat S.
    Bijker, Wietske
    Journal of Applied Remote Sensing, 2012, 6 (01):
  • [9] Aboveground biomass estimation of tropical forest from Envisat advanced synthetic aperture radar data using modeling approach
    Kumar, Shashi
    Pandey, Uttara
    Kushwaha, Satya P.
    Chatterjee, Rajat S.
    Bijker, Wietske
    JOURNAL OF APPLIED REMOTE SENSING, 2012, 6
  • [10] Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Quebec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data
    Santoro, Maurizio
    Cartus, Oliver
    Fransson, Johan E. S.
    Shvidenko, Anatoly
    McCallum, Ian
    Hall, Ronald J.
    Beaudoin, Andre
    Beer, Christian
    Schmullius, Christiane
    REMOTE SENSING, 2013, 5 (09) : 4503 - 4532