Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.15244/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
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ISSN | 1230-1485 |
EISSN | 2083-5906 |
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 |
推荐引用方式 GB/T 7714 | 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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