Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina)

被引：28

作者：

Bohn, Vanesa Y. ^{[1
,2
]}

Carmona, Facundo ^{[2
,3
]}

Rivas, Raul ^{[3
,4
]}

Lagomarsino, Leonardo ^{[5
]}

Diovisalvi, Nadia ^{[5
]}

Zagarese, Horacio E. ^{[5
]}

机构：

[1] UNS, Dept Geog & Turismo, 12 Octubre & San Juan 4To Piso, RA-8000 Bahia Blanca, Buenos Aires, Argentina

[2] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina

[3] Univ Nacl Ctr Prov Buenos Aires, Inst Hidrol Llanuras, Tandil, Argentina

[4] Comis Invest Cient Prov Buenos Aires CIC, Buenos Aires, DF, Argentina

[5] UNSAM, CONICET, Inst Invest Biotecnol, Inst Tecnol Chascomus IIB INTECH, Intendente Marino Km 8-2, RA-7130 Buenos Aires, DF, Argentina

来源：

EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES | 2018年 / 21卷 / 02期

基金：

美国国家科学基金会;

关键词：

Chlorophyll-a; Turbidity; Remote sensing; DAMAGE ASSESSMENT; CLIMATE-CHANGE; WATER INDEXES; TROPHIC STATE; CHASCOMUS; NUTRIENTS; RESERVOIR; DYNAMICS; PAKISTAN; IMAGERY;

D O I：

10.1016/j.ejrs.2017.04.005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Shallow Pampean lakes are located in the most productive plain of Argentina. They are highly variable in salinity, turbidity and surface area. Laguna Chascomus has been monitored as a representative example of them. We developed a linear model based on satellite images validated against field measurements (2001-2011 period). A vegetation index and Landsat Surface Reflectance (Band 4) produced the best correlations with chlorophyll-a (Chl-a) and Secchi Disk Depth (SDD), respectively. In a second instance, a retrospective analysis (1986-2013) was performed. As a result, significant positive trends were observed for SDD and Chl-a. In addition, both variables displayed trends related to rainfall and site depth. (C) 2017 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.

引用

页码：183 / 191

页数：9

共 46 条

[1] Lakes as sentinels of climate change [J].

Adrian, Rita ;

O'Reilly, Catherine M. ;

Zagarese, Horacio ;

Baines, Stephen B. ;

Hessen, Dag O. ;

Keller, Wendel ;

Livingstone, David M. ;

Sommaruga, Ruben ;

Straile, Dietmar ;

Van Donk, Ellen ;

Weyhenmeyer, Gesa A. ;

Winder, Monika .

LIMNOLOGY AND OCEANOGRAPHY, 2009, 54 (06) :2283-2297

[2]

Ahmed R., 2016, EGYPT J REMOTE SENSI

[3]

Allan M.G., 2007, CBER Contract Report No. 51, Client Report Prepared for Environment Bay of Plenty

[4] Climate-change impacts on hydrology and nutrients in a Danish lowland river basin [J].

Andersen, Hans Estrup ;

Kronvang, Brian ;

Larsen, Soren E. ;

Hoffmann, Carl Christian ;

Jensen, Torben Strange ;

Rasmussen, Erik Koch .

SCIENCE OF THE TOTAL ENVIRONMENT, 2006, 365 (1-3) :223-237

[5]

[Anonymous], 2003, REV ARGENTINA AGROME

[6] Species composition, richness and diversity of fish assemblages in different habitats of a pampean lake (Argentina) [J].

Barla, M. J. .

ANNALES DE LIMNOLOGIE-INTERNATIONAL JOURNAL OF LIMNOLOGY, 1991, 27 (02) :163-173

[7] Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Rio Tercero reservoir (Argentina) [J].

Bonansea, Matias ;

Claudia Rodriguez, Maria ;

Pinotti, Lucio ;

Ferrero, Susana .

REMOTE SENSING OF ENVIRONMENT, 2015, 158 :28-41

[8] Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM) [J].

Brezonik, P ;

Menken, KD ;

Bauer, M .

LAKE AND RESERVOIR MANAGEMENT, 2005, 21 (04) :373-382

[9] Vegetation Index to estimate chlorophyll content from multispectral remote sensing data [J].

Carmona, Facundo ;

Rivas, Raul ;

Fonnegra, Diana C. .

EUROPEAN JOURNAL OF REMOTE SENSING, 2015, 48 :319-326

[10]

Ceccato P, 2002, REMOTE SENS ENVIRON, V82, P198, DOI [10.1016/S0034-4257(02)00036-6, 10.1016/S0034-4257(02)00037-8]

← 1 2 3 4 5 →