dc.contributor.author |
Sanciya, K. |
|
dc.contributor.author |
Suthakar, K. |
|
dc.date.accessioned |
2021-05-11T06:50:06Z |
|
dc.date.available |
2021-05-11T06:50:06Z |
|
dc.date.issued |
2021-01-19 |
|
dc.identifier.citation |
9th South Eastern University International Arts Research Symposium -2020. 19th January 2021. South Eastern University of Sri Lanka, Oluvil, Sri Lanka. pp. 62 |
en_US |
dc.identifier.isbn |
978-955-627-253-6 |
|
dc.identifier.uri |
http://ir.lib.seu.ac.lk/handle/123456789/5509 |
|
dc.description.abstract |
Soil salinity is one of the most important issues affecting the environment. It is
triggered by natural factors and human activities. Excessive salinity in the soil
negatively affects the plant growth and productivity. Therefore, in order to reduce
the increasing soil salinity, it is necessary to monitor, mapping and manage the soil
salinity at an early stage and take appropriate management measures in the
future. In that way, this study aims to compute salinity indices using different
wavelength bands of satellite images, identify soil salinity based on the salinity
indices, measures EC and pH in field from selected samples, and analyses the
interaction between the value of field measurement and salinity indices. The
secondary and the primary data from various sources were collected to achieve the
aforesaid objectives; secondary data was collected from satellite images and
Divisional Secretariat report, and the primary data was collected through the field
measurement. The data was thorough analyzed by laboratory and GIS method.
Soil salinity based on satellite Remote Sensing indices and based on field
measurement data are found to be appropriately correlated. Thus the distribution
of spatial soil salinity through both methods is high in the east and low in the west
of the study area. Therefore, the Remote Sensing Technique may be better than
traditional methods to assess soil salinity |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Faculty of Arts and Culture, South Eastern University of Sri Lanka |
en_US |
dc.subject |
Soil salinity |
en_US |
dc.subject |
Geographical information review system |
en_US |
dc.subject |
Remote sensing technique |
en_US |
dc.subject |
Salinity index |
en_US |
dc.subject |
Electrical conductivity. |
en_US |
dc.title |
Evaluation of soil salinity based on satellite image indices: a case study from Valikamam East Divisional Secretariat Division of Jaffna |
en_US |
dc.type |
Article |
en_US |