Arid
DOI10.15244/pjoes/81693
Determining Salinity and Ion Soil Using Satellite Image Processing
Avila Aceves, Evangelina1; Peinado Guevara, Hector Jose2; Cruz Enriquez, Adriana1; Campos Gaxiola, Jose de Jesus1; Pellegrini Cervantes, Manuel de Jesus1; Herrera Barrientos, Jaime3; Esau Herrera, Leonardo3; Peinado Guevara, Victor Manuel2; Leon Samuel, Campista4
通讯作者Peinado Guevara, Victor Manuel
来源期刊POLISH JOURNAL OF ENVIRONMENTAL STUDIES
ISSN1230-1485
EISSN2083-5906
出版年2019
卷号28期号:3页码:1549-1560
英文摘要Arid and semi-arid zones frequently present salinity problems in soils. The agriculture of the municipality of Ahome, Sinaloa has an agricultural region where its soils are characterized by problems of salinity and sodicity - conditions that reduce production. Salinity can be detected by implementing remote sensing techniques; there are ways to enhance the detection of satellite salinity through the use of diverse quantitative models, using the spectral signature of each of the components of the study area through algorithms named indices. For this study we used the normalized differential salinity index (NDSI) from a Landsat OLI image for the southern area of the city, which is related to the electrical conductivity (EC) of the soils (R = 0.90). At the same time, it is related to some anions and cations. As a result, it is possible to determine since the NDSI, the anion Cl-and Cations Na+, Ca++, and Mg++. We found a relationship between EC -Cl- (R = 0.94), EC - Na+ (R = 0.84), EC - Ca++ (R = 0.85), and EC-Mg++ (R = 0.86). The electrical conductivity in the field and laboratory, anions, cations, and NDSI index were filtered with the Kalman filter obtaining better fitter, eliminating dispersivity in the variable relations.
英文关键词NDSI salinity electric conductivity anions cations
类型Article
语种英语
国家Mexico
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000461800200051
WOS关键词ELECTRICAL-CONDUCTIVITY ; REGION ; AREAS ; GIS
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/218140
作者单位1.Univ Autonoma Sinaloa, Fac Ingn Mochis, Fuente Poseidon & Angel Flores S-N, Los Mochis, Sinaloa, Mexico;
2.Univ Autonoma Sinaloa, Escuela Ciencias Econ & Adm, Guasave, Sinaloa, Mexico;
3.Baja California CICESE, Ctr Invest Cient & Educ Super Ensenada, Ensenada, Baja California, Mexico;
4.Univ Autonoma Sinaloa, Escuela Biol, Culiacan, Mexico
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Avila Aceves, Evangelina,Peinado Guevara, Hector Jose,Cruz Enriquez, Adriana,et al. Determining Salinity and Ion Soil Using Satellite Image Processing[J],2019,28(3):1549-1560.
APA Avila Aceves, Evangelina.,Peinado Guevara, Hector Jose.,Cruz Enriquez, Adriana.,Campos Gaxiola, Jose de Jesus.,Pellegrini Cervantes, Manuel de Jesus.,...&Leon Samuel, Campista.(2019).Determining Salinity and Ion Soil Using Satellite Image Processing.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,28(3),1549-1560.
MLA Avila Aceves, Evangelina,et al."Determining Salinity and Ion Soil Using Satellite Image Processing".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 28.3(2019):1549-1560.
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